Twin Cities campus
 
Twin Cities Campus

Information Technology Infrastructure B.A.Sc.

CCE Applied Professional Studies
College of Continuing Education
  • Program Type: Baccalaureate
  • Requirements for this program are current for Spring 2018
  • Required credits to graduate with this degree: 120
  • Required credits within the major: 89 to 98
  • Degree: Bachelor of Applied Science
Information technology infrastructure (ITI) concerns the design, construction, and management of technology operations. The ITI major is the study and application of this knowledge to the needs of businesses and organizations. The curriculum combines a strong foundation in systems, networks, data, security, and the software service lifecycle with essential applied business courses. The ITI major prepares students for a variety of positions in industry, government, and business that involve computer technology processes, policies, components, and services.
Program Delivery
This program is available:
  • via classroom (the majority of instruction is face-to-face)
Admission Requirements
Students must complete 45 credits before admission to the program.
Transfer students are usually admitted to pre-major status before admission to this major.
A GPA above 2.0 is preferred for the following:
  • 2.50 transferring from another University of Minnesota college
  • 2.50 transferring from outside the University
Students who have 30 transferable semester credits, preferred minimum 2.50 GPA, and a strong interest in the major may be admitted to pre-major status. Each application for admission is individually reviewed in a holistic context.
For information about University of Minnesota admission requirements, visit the Office of Admissions website.
Required prerequisites
Courses
In regard to CSci courses: take CSci 1913 + [1103 or 1113] unless you are planning to take advanced CSci coursework. In that case, take CSci 1933 + 1133. All students must take CSci 2021.
Algorithms & Data Structures
CSCI 1913 - Introduction to Algorithms, Data Structures, and Program Development (4.0 cr)
or CSCI 1933 - Introduction to Algorithms and Data Structures (4.0 cr)
Calculus
MATH 1142 - Short Calculus [MATH] (4.0 cr)
or MATH 1271 - Calculus I [MATH] (4.0 cr)
or MATH 1571H - Honors Calculus I [MATH] (4.0 cr)
Machine Architecture
CSCI 2021 - Machine Architecture and Organization (4.0 cr)
Physics
PHYS 1101W - Introductory College Physics I [PHYS, WI] (4.0 cr)
or PHYS 1301W - Introductory Physics for Science and Engineering I [PHYS, WI] (4.0 cr)
or PHYS 1401V - Honors Physics I [PHYS, WI] (4.0 cr)
Programming
CSCI 1103 - Introduction to Computer Programming in Java (4.0 cr)
or CSCI 1113 - Introduction to C/C++ Programming for Scientists and Engineers (4.0 cr)
or CSCI 1133 - Introduction to Computing and Programming Concepts (4.0 cr)
General Requirements
All students in baccalaureate degree programs are required to complete general University and college requirements including writing and liberal education courses. For more information about University-wide requirements, see the liberal education requirements. Required courses for the major, minor or certificate in which a student receives a D grade (with or without plus or minus) do not count toward the major, minor or certificate (including transfer courses).
Program Requirements
Preparatory Courses
Take WRIT 1301 or WRIT 1401 for Freshman Composition.
Accounting
ACCT 2050 - Introduction to Financial Reporting (4.0 cr)
or APEC 1251 - Principles of Accounting (3.0 cr)
C Programming
INET 3101 - C Programming: Language and Applications (2.0 cr)
Microeconomics
ECON 1101 - Principles of Microeconomics [SOCS, GP] (4.0 cr)
or APEC 1101 - Principles of Microeconomics [SOCS, GP] (4.0 cr)
or APEC 1101H - Principles of Microeconomics [SOCS, GP] (4.0 cr)
Public Speaking or Interpersonal Communication
COMM 1101 - Introduction to Public Speaking [CIV] (3.0 cr)
or COMM 1101H - Honors: Introduction to Public Speaking [CIV] (3.0 cr)
or COMM 3402 - Introduction to Interpersonal Communication (3.0 cr)
or COMM 3605W - Persuasive Speaking and Speech Writing [WI] (3.0 cr)
Statistics
EPSY 1261 - Understanding Data Stories through Visualization & Computing [MATH] (3.0 cr)
or SCO 2550 - Business Statistics: Data Sources, Presentation, and Analysis (4.0 cr)
or STAT 1001 - Introduction to the Ideas of Statistics [MATH] (4.0 cr)
or STAT 3011 - Introduction to Statistical Analysis [MATH] (4.0 cr)
Structures
If you plan to take elective CSCI courses beyond curriculum requirements, enroll in CSCI 2011
INET 3102 - Web Infrastructure (2.0 cr)
or CSCI 2011 - Discrete Structures of Computer Science (4.0 cr)
Technical Writing
One technical writing course or writing intensive science course.
PHYS 1101W - Introductory College Physics I [PHYS, WI] (4.0 cr)
or PHYS 1301W - Introductory Physics for Science and Engineering I [PHYS, WI] (4.0 cr)
or WRIT 3001 - Introduction to Technical Writing and Communication (3.0 cr)
or WRIT 3152W - Writing on Issues of Science and Technology [WI] (3.0 cr)
or WRIT 3257 - Technical and Professional Presentations (3.0 cr)
or WRIT 3562W - Technical and Professional Writing [WI] (4.0 cr)
Core Courses
CSCI 4061 - Introduction to Operating Systems (4.0 cr)
CSCI 4211 - Introduction to Computer Networks (3.0 cr)
INET 4031 - Introduction to Systems (4.0 cr)
INET 4051 - IT Infrastructure Operations (3.0 cr)
INET 4082W - IT Infrastructure Projects and Processes [WI] (3.0 cr)
INET 4153 - Introduction to Security: Policy and Regulation (4.0 cr)
INET 4707 - Introduction to Databases (4.0 cr)
or CSCI 4707 - Practice of Database Systems (3.0 cr)
Business/Communication Courses
Management
ABUS 4022W - Management in Organizations [WI] (3.0 cr)
or HSM 4561 - Health Care Administration and Management (3.0 cr)
Business Communication
ABUS 4023W - Communicating for Results [WI] (3.0 cr)
Cost Accounting
ABUS 4101 - Accounting and Finance for Managers (3.0 cr)
or HSM 4541 - Health Care Finance (3.0 cr)
Quality and Process Improvement
ABUS 3301 - Introduction to Quality Management (3.0 cr)
or MM 4201 - Quality Engineering and Process Improvement (3.0 cr)
Business/Communication Elective(s)
Must be ABUS, IDSC, or MGMT course or other dept approved elective not included in core or technical requirements.
Take 3 or more credit(s) from the following:
· ABUS 3xxx
· ABUS 4xxx
· IDSC 3xxx
· IDSC 4xxx
· MGMT 3xxx
· MGMT 4xxx
Upper Division Writing Intensive within the Major
Students are required to take one upper division writing intensive course within the major. If that requirement has not been satisfied within the core major requirements, students must choose one course from the following list. Some of these courses may also fulfill other requirements.
Take 0 - 1 course(s) from the following:
· ABUS 4022W - Management in Organizations [WI] (3.0 cr)
· COMM 3605W - Persuasive Speaking and Speech Writing [WI] (3.0 cr)
· WRIT 3152W - Writing on Issues of Science and Technology [WI] (3.0 cr)
· WRIT 3562W - Technical and Professional Writing [WI] (4.0 cr)
Program Sub-plans
Students are required to complete one of the following sub-plans.
Data Management
Required Data Management Courses
This group consists of the core course INet (or CSCI) 4707 - Introduction to Databases, and two more courses.
INET 4709 - Data Management I: Fundamentals (3.0 cr)
INET 4711 - Data Management II: Distributed Systems (4.0 cr)
Data Management Technical Electives
Take 3 - 5 credit(s) from the following:
· INET 4007 - Security II: Cyber Security (4.0 cr)
· INET 4011 - Networking I: Network Administration (4.0 cr)
· INET 4021 - Dev Ops I: Network Programming (4.0 cr)
· INET 4032 - Systems I: Storage (4.0 cr)
· INET 4041 - Networking II: Emerging Technologies (4.0 cr)
· INET 4061 - Data Science I: Fundamentals (3.0 cr)
· INET 4083 - Systems II: Analysis and Design (3.0 cr)
· INET 4121 - DevOps II: Development Strategies (4.0 cr)
· INET 4165 - Security I: Principles (3.0 cr)
· INET 4710 - Data Science II: Big Data Analytics (4.0 cr)
· INET 4193 - Directed Study (1.0-4.0 cr)
or INET 4596 - Internship (1.0-3.0 cr)
· Other technical elective with adviser approval
Data Science
Required Data Science Courses
This group consists of the core course INet (or CSci) 4707 - Introduction to Databases, and two more courses.
INET 4061 - Data Science I: Fundamentals (3.0 cr)
INET 4710 - Data Science II: Big Data Analytics (4.0 cr)
Data Science Technical Electives
Take 3 - 5 credit(s) from the following:
· INET 4007 - Security II: Cyber Security (4.0 cr)
· INET 4011 - Networking I: Network Administration (4.0 cr)
· INET 4021 - Dev Ops I: Network Programming (4.0 cr)
· INET 4032 - Systems I: Storage (4.0 cr)
· INET 4041 - Networking II: Emerging Technologies (4.0 cr)
· INET 4083 - Systems II: Analysis and Design (3.0 cr)
· INET 4121 - DevOps II: Development Strategies (4.0 cr)
· INET 4165 - Security I: Principles (3.0 cr)
· INET 4709 - Data Management I: Fundamentals (3.0 cr)
· INET 4711 - Data Management II: Distributed Systems (4.0 cr)
· INET 4193 - Directed Study (1.0-4.0 cr)
or INET 4596 - Internship (1.0-3.0 cr)
· Other technical elective with adviser approval
DevOps (Development & Operations)
Required DevOps Courses
This group consists of the core course CSci 4211-Introduction to Computer Networks, and two more courses.
INET 4021 - Dev Ops I: Network Programming (4.0 cr)
INET 4121 - DevOps II: Development Strategies (4.0 cr)
Dev Ops Technical Electives
Take 3 - 5 credit(s) from the following:
· INET 4007 - Security II: Cyber Security (4.0 cr)
· INET 4011 - Networking I: Network Administration (4.0 cr)
· INET 4032 - Systems I: Storage (4.0 cr)
· INET 4041 - Networking II: Emerging Technologies (4.0 cr)
· INET 4061 - Data Science I: Fundamentals (3.0 cr)
· INET 4083 - Systems II: Analysis and Design (3.0 cr)
· INET 4165 - Security I: Principles (3.0 cr)
· INET 4709 - Data Management I: Fundamentals (3.0 cr)
· INET 4710 - Data Science II: Big Data Analytics (4.0 cr)
· INET 4711 - Data Management II: Distributed Systems (4.0 cr)
· INET 4193 - Directed Study (1.0-4.0 cr)
or INET 4596 - Internship (1.0-3.0 cr)
· Other technical elective with adviser approval
Networking
Required Networking Courses
This group consists of the core course CSci 4211-Introduction to Computer Networks, and two more courses.
INET 4011 - Networking I: Network Administration (4.0 cr)
INET 4041 - Networking II: Emerging Technologies (4.0 cr)
Networking Technical Electives
Take 3 - 5 credit(s) from the following:
· INET 4007 - Security II: Cyber Security (4.0 cr)
· INET 4021 - Dev Ops I: Network Programming (4.0 cr)
· INET 4032 - Systems I: Storage (4.0 cr)
· INET 4061 - Data Science I: Fundamentals (3.0 cr)
· INET 4083 - Systems II: Analysis and Design (3.0 cr)
· INET 4121 - DevOps II: Development Strategies (4.0 cr)
· INET 4165 - Security I: Principles (3.0 cr)
· INET 4709 - Data Management I: Fundamentals (3.0 cr)
· INET 4710 - Data Science II: Big Data Analytics (4.0 cr)
· INET 4711 - Data Management II: Distributed Systems (4.0 cr)
· INET 4193 - Directed Study (1.0-4.0 cr)
or INET 4596 - Internship (1.0-3.0 cr)
· Other technical elective with adviser approval
Security
Required Security Courses
This group consists of the core course INet 4153-Introduction to Security: Policy and Regulation, and two more courses.
INET 4007 - Security II: Cyber Security (4.0 cr)
INET 4165 - Security I: Principles (3.0 cr)
Security Technical Electives
Take 3 - 5 credit(s) from the following:
· INET 4011 - Networking I: Network Administration (4.0 cr)
· INET 4021 - Dev Ops I: Network Programming (4.0 cr)
· INET 4032 - Systems I: Storage (4.0 cr)
· INET 4041 - Networking II: Emerging Technologies (4.0 cr)
· INET 4061 - Data Science I: Fundamentals (3.0 cr)
· INET 4083 - Systems II: Analysis and Design (3.0 cr)
· INET 4121 - DevOps II: Development Strategies (4.0 cr)
· INET 4709 - Data Management I: Fundamentals (3.0 cr)
· INET 4710 - Data Science II: Big Data Analytics (4.0 cr)
· INET 4711 - Data Management II: Distributed Systems (4.0 cr)
· INET 4193 - Directed Study (1.0-4.0 cr)
or INET 4596 - Internship (1.0-3.0 cr)
· Other technical elective with adviser approval
Systems
Required Systems Courses
This group consists of the core course INet 4031-Introduction to Systems, and two more courses.
INET 4032 - Systems I: Storage (4.0 cr)
INET 4083 - Systems II: Analysis and Design (3.0 cr)
Systems Technical Electives
Take 3 - 5 credit(s) from the following:
· INET 4007 - Security II: Cyber Security (4.0 cr)
· INET 4011 - Networking I: Network Administration (4.0 cr)
· INET 4021 - Dev Ops I: Network Programming (4.0 cr)
· INET 4041 - Networking II: Emerging Technologies (4.0 cr)
· INET 4061 - Data Science I: Fundamentals (3.0 cr)
· INET 4121 - DevOps II: Development Strategies (4.0 cr)
· INET 4165 - Security I: Principles (3.0 cr)
· INET 4709 - Data Management I: Fundamentals (3.0 cr)
· INET 4710 - Data Science II: Big Data Analytics (4.0 cr)
· INET 4711 - Data Management II: Distributed Systems (4.0 cr)
· INET 4193 - Directed Study (1.0-4.0 cr)
or INET 4596 - Internship (1.0-3.0 cr)
· Other technical elective with adviser approval
Self-Designed
Track Designed in Consultation with Academic Advisor
Take 10 - 12 credit(s) from the following:
· INET 4007 - Security II: Cyber Security (4.0 cr)
· INET 4011 - Networking I: Network Administration (4.0 cr)
· INET 4021 - Dev Ops I: Network Programming (4.0 cr)
· INET 4032 - Systems I: Storage (4.0 cr)
· INET 4041 - Networking II: Emerging Technologies (4.0 cr)
· INET 4061 - Data Science I: Fundamentals (3.0 cr)
· INET 4083 - Systems II: Analysis and Design (3.0 cr)
· INET 4121 - DevOps II: Development Strategies (4.0 cr)
· INET 4165 - Security I: Principles (3.0 cr)
· INET 4709 - Data Management I: Fundamentals (3.0 cr)
· INET 4710 - Data Science II: Big Data Analytics (4.0 cr)
· INET 4711 - Data Management II: Distributed Systems (4.0 cr)
· INET 4193 - Directed Study (1.0-4.0 cr)
or INET 4596 - Internship (1.0-3.0 cr)
· Other technical elective with adviser approval
 
More program views..
View college catalog(s):
· College of Continuing Education

View sample plan(s):
· ITI--4-Year Plan
· Data Management Sample Plan
· Data Science Sample Plan
· DevOps Sample Plan
· Networking Sample Plan
· Security Sample Plan
· Systems Sample Plan
· Self-Designed Sample Plan

View checkpoint chart:
· Information Technology Infrastructure B.A.Sc.
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CSCI 1913 - Introduction to Algorithms, Data Structures, and Program Development
Credits: 4.0 [max 4.0]
Typically offered: Every Fall, Spring & Summer
Advanced object oriented programming to implement abstract data types(stacks, queues, linked lists, hash tables, binary trees) using Java language. Searching/sorting algorithms. Basic algorithmic analysis. Scripting languages using Python language. Substantial programming projects. Weekly lab. prereq: (EE major and EE 1301) or (CmpE major and EE 1301) or 1103 or 1113 or instr consent
CSCI 1933 - Introduction to Algorithms and Data Structures
Credits: 4.0 [max 4.0]
Course Equivalencies: 00008
Typically offered: Every Fall, Spring & Summer
Advanced object oriented programming to implement abstract data types (stacks, queues, linked lists, hash tables, binary trees) using Java language. Inheritance. Searching/sorting algorithms. Basic algorithmic analysis. Use of software development tools. Weekly lab. prereq: 1133 or instr consent
MATH 1142 - Short Calculus (MATH)
Credits: 4.0 [max 4.0]
Typically offered: Every Fall, Spring & Summer
A streamlined one-semester tour of differential and integral calculus in one variable, and differential calculus in two variables. No trigonometry/does not have the same depth as MATH 1271-1272. Formulas and their interpretation and use in applications. prereq: Satisfactory score on placement test or grade of at least C- in [1031 or 1051]
MATH 1271 - Calculus I (MATH)
Credits: 4.0 [max 4.0]
Course Equivalencies: 00067 - Math 1271/Math 1281/Math 1371/
Typically offered: Every Fall, Spring & Summer
Differential calculus of functions of a single variable, including polynomial, rational, exponential, and trig functions. Applications, including optimization and related rates problems. Single variable integral calculus, using anti-derivatives and simple substitution. Applications may include area, volume, work problems. prereq: 4 yrs high school math including trig or satisfactory score on placement test or grade of at least C- in [1151 or 1155]
MATH 1571H - Honors Calculus I (MATH)
Credits: 4.0 [max 4.0]
Course Equivalencies: 00067 - Math 1142/1271/1281/1371/1571H
Grading Basis: A-F only
Typically offered: Every Fall
Differential/integral calculus of functions of a single variable. Emphasizes hard problem-solving rather than theory. prereq: Honors student and permission of University Honors Program
CSCI 2021 - Machine Architecture and Organization
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
Introduction to hardware/software components of computer system. Data representation, boolean algebra, machine-level programs, instruction set architecture, processor organization, memory hierarchy, virtual memory, compiling, linking. Programming in C. prereq: 1913 or 1933 or instr consent
PHYS 1101W - Introductory College Physics I (PHYS, WI)
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
Fundamental principles of physics in the context of everyday world. Use of kinematics/dynamics principles and quantitative/qualitative problem solving techniques to understand natural phenomena. Lecture, recitation, lab. prereq: High school algebra, plane geometry, trigonometry; primarily for students interested in technical areas
PHYS 1301W - Introductory Physics for Science and Engineering I (PHYS, WI)
Credits: 4.0 [max 4.0]
Course Equivalencies: 00078
Typically offered: Every Fall, Spring & Summer
Use of fundamental principles to solve quantitative problems. Motion, forces, conservation principles, structure of matter. Applications to mechanical systems. prereq: concurrent registration is required (or allowed) in Math 1271 or concurrent registration is required (or allowed) in Math 1371 or concurrent registration is required (or allowed) in Math 1571
PHYS 1401V - Honors Physics I (PHYS, WI)
Credits: 4.0 [max 4.0]
Course Equivalencies: 00078
Grading Basis: A-F only
Typically offered: Every Fall
Comprehensive, calculus-level general physics. Emphasizes use of fundamental principles to solve quantitative problems. Description of motion, forces, conservation principles. Structure of matter, with applications to mechanical systems.
CSCI 1103 - Introduction to Computer Programming in Java
Credits: 4.0 [max 4.0]
Typically offered: Every Fall
Fundamental programming concepts/software development using Java language. Problem solving skills. Algorithm development techniques. Use of abstractions/modularity. Data structures/abstract data types. Substantial programming projects. Weekly lab.
CSCI 1113 - Introduction to C/C++ Programming for Scientists and Engineers
Credits: 4.0 [max 4.0]
Typically offered: Every Fall, Spring & Summer
Programming for scientists/engineers. C/C++ programming constructs, object-oriented programming, software development, fundamental numerical techniques. Exercises/examples from various scientific fields. prereq: Math 1271 or Math 1371 or Math 1571H or instr consent
CSCI 1133 - Introduction to Computing and Programming Concepts
Credits: 4.0 [max 4.0]
Course Equivalencies: 02133 - CSci 1133/CSci 1133H
Typically offered: Every Fall, Spring & Summer
Fundamental programming concepts using Python language. Problem solving skills, recursion, object-oriented programming. Algorithm development techniques. Use of abstractions/modularity. Data structures/abstract data types. Develop programs to solve real-world problems. prereq: concurrent registration is required (or allowed) in MATH 1271 or concurrent registration is required (or allowed) in MATH 1371 or concurrent registration is required (or allowed) in MATH 1571H or instr consent
ACCT 2050 - Introduction to Financial Reporting
Credits: 4.0 [max 4.0]
Course Equivalencies: 00458 - Acct 2050/ApEc 1251
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Introduction to financial accounting for U.S. organizations. Reading financial statements. prereq: Soph
APEC 1251 - Principles of Accounting
Credits: 3.0 [max 3.0]
Course Equivalencies: 00458 - Acct 2050/ApEc 1251
Grading Basis: A-F only
Typically offered: Every Fall
Financial accounting. Theory, concepts, principles, procedures. Preparation/understanding of the four financial statements.
INET 3101 - C Programming: Language and Applications
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Syntax of C language. How other languages use C to interact with operating system. Debugging. Assignments build upon real-world programming examples to demonstrate how/where to use C. Scripting using languages such as UNIX shell and Perl. prereq: Programming experience or completed coursework in [Java or C+ or similar programming language]
ECON 1101 - Principles of Microeconomics (SOCS, GP)
Credits: 4.0 [max 4.0]
Course Equivalencies: Econ 1101/1104/1111/ApEc 1101
Typically offered: Every Fall, Spring & Summer
Microeconomic behavior of consumers, firms, and markets in domestic and world economy. Demand and supply. Competition and monopoly. Distribution of income. Economic interdependencies in the global economy. Effects of global linkages on individual decisions. prereq: knowledge of plane geometry and advanced algebra
APEC 1101 - Principles of Microeconomics (SOCS, GP)
Credits: 4.0 [max 4.0]
Course Equivalencies: 00019 - Econ 1101/1104/1111/ApEc 1101
Typically offered: Every Fall & Spring
Economic behavior of consumers/firms in domestic/international markets. Demand, supply, competition. Efficiency, Invisible Hand. Monopoly, imperfect competition. Externalities, property rights. Economics of public policy in environment/health/safety. Public goods, tax policy.
APEC 1101H - Principles of Microeconomics (SOCS, GP)
Credits: 4.0 [max 4.0]
Course Equivalencies: 00019 - Econ 1101/1104/1111/ApEc 1101
Grading Basis: A-F only
Typically offered: Every Fall
Economic behavior of consumers/firms in domestic/international markets. Demand, supply, competition. Efficiency, Invisible Hand. Monopoly, imperfect competition. Externalities, property rights. Economics of public policy in environment/health/safety. Public goods, tax policy. prereq: Honors student, proficiency in high school algebra
COMM 1101 - Introduction to Public Speaking (CIV)
Credits: 3.0 [max 3.0]
Course Equivalencies: 00670
Typically offered: Every Fall, Spring & Summer
Public communication processes, elements, and ethics. Criticism of and response to public discourse. Practice in individual speaking designed to encourage civic participation.
COMM 1101H - Honors: Introduction to Public Speaking (CIV)
Credits: 3.0 [max 3.0]
Course Equivalencies: 00670 - Comm 1101H, PSTL 1461, GC 1461
Grading Basis: A-F only
Typically offered: Every Fall & Spring
Public communication processes, elements, and ethics. Criticism of and response to public discourse. Practice in individual speaking designed to encourage civic participation. prereq: Honors
COMM 3402 - Introduction to Interpersonal Communication
Credits: 3.0 [max 3.0]
Typically offered: Every Fall, Spring & Summer
Nature and function of communication between individuals in formal and informal relationships. Communicative interactions from theoretical and practical viewpoints.
COMM 3605W - Persuasive Speaking and Speech Writing (WI)
Credits: 3.0 [max 3.0]
Typically offered: Every Fall, Spring & Summer
Performance/composition with critical inquiry into rhetoric theories. Writing, thinking, and speaking skills. prereq: 1101, soph
EPSY 1261 - Understanding Data Stories through Visualization & Computing (MATH)
Credits: 3.0 [max 3.0]
Course Equivalencies: 02460 - EPsy 1261/PSTL 1004
Grading Basis: A-F only
Typically offered: Every Fall & Spring
Academics and researchers have long used data & visualization to support and illuminate particular narratives in their scholarship. Today, data visualizations are found not only in the pages of academic journals; many non-academics, including journalists and activists, use increasingly complex data visualizations and statistical summaries to convey salient information and storylines. This course will help students build on their statistical thinking and understanding learned in high school to think critically about the use of summaries and visualization and their role in the data narrative. It will also cover the use of computational tools and methods for creating data summaries and visualization that facilitate seeing patterns and relationships in data, and producing better narrative through communicating with data. Students will learn course material through in-class activities and projects conducted in cooperative learning groups and through assignments requiring the application of concepts and technology presented in class to additional real-world examples of data visualization.
SCO 2550 - Business Statistics: Data Sources, Presentation, and Analysis
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Data analysis, basic inferential procedures, statistical sampling/design, regression/time series analysis. How statistical thinking contributes to improved decision making. prereq: [Math 1031 or equiv], at least 30 cr
STAT 1001 - Introduction to the Ideas of Statistics (MATH)
Credits: 4.0 [max 4.0]
Typically offered: Every Fall, Spring & Summer
Graphical/numerical presentations of data. Judging the usefulness/reliability of results/inferences from surveys and other studies to interesting populations. Coping with randomness/variation in an uncertain world. prereq: Mathematics requirement for admission to University
STAT 3011 - Introduction to Statistical Analysis (MATH)
Credits: 4.0 [max 4.0]
Course Equivalencies: (Select a set)
Typically offered: Every Fall, Spring & Summer
Standard statistical reasoning. Simple statistical methods. Social/physical sciences. Mathematical reasoning behind facts in daily news. Basic computing environment.
INET 3102 - Web Infrastructure
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Infrastructure of the web, from its fundamental protocol (HTTP) to the organization and use of large-scale components and services. Cloud offerings (compute, storage, queuing) and platforms (AWS, Google Apps, Heroku). prereq: [3101, CSCI 2021] or equiv IT experience
CSCI 2011 - Discrete Structures of Computer Science
Credits: 4.0 [max 4.0]
Course Equivalencies: 02004
Typically offered: Every Fall & Spring
Foundations of discrete mathematics. Sets, sequences, functions, big-O, propositional/predicate logic, proof methods, counting methods, recursion/recurrences, relations, trees/graph fundamentals. prereq: MATH 1271 or MATH 1371 or instr consent
PHYS 1101W - Introductory College Physics I (PHYS, WI)
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
Fundamental principles of physics in the context of everyday world. Use of kinematics/dynamics principles and quantitative/qualitative problem solving techniques to understand natural phenomena. Lecture, recitation, lab. prereq: High school algebra, plane geometry, trigonometry; primarily for students interested in technical areas
PHYS 1301W - Introductory Physics for Science and Engineering I (PHYS, WI)
Credits: 4.0 [max 4.0]
Course Equivalencies: 00078
Typically offered: Every Fall, Spring & Summer
Use of fundamental principles to solve quantitative problems. Motion, forces, conservation principles, structure of matter. Applications to mechanical systems. prereq: concurrent registration is required (or allowed) in Math 1271 or concurrent registration is required (or allowed) in Math 1371 or concurrent registration is required (or allowed) in Math 1571
WRIT 3001 - Introduction to Technical Writing and Communication
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall
Research origins/history. Technical communication. Audience, purpose, ethics, global communication, collaboration, usability, digital writing technologies. Journal articles, student/professional organizations, guest presentations, interviews, digital portfolio. Oral presentations, research.
WRIT 3152W - Writing on Issues of Science and Technology (WI)
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Read books/articles, discuss, and write about major issues in science/technology. Possible topics: DNA and human genome. Animal/human interaction. Global warming; Alternative energies; Animal/human cloning and stem-cell research. Vaccines from Smallpox to AIDS. Why civilizations collapse.
WRIT 3257 - Technical and Professional Presentations
Credits: 3.0 [max 3.0]
Grading Basis: OPT No Aud
Typically offered: Every Fall & Spring
Oral presentation skills for technical or professional topics. Visual communication, audience analysis, organizing presentation, presenting complex material. Emphasizes use of computers.
WRIT 3562W - Technical and Professional Writing (WI)
Credits: 4.0 [max 4.0]
Course Equivalencies: 01235 - Writ 3562V/Writ 3562W
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Written/oral communication in professional settings, gathering research, analyzing audience, assessing/practicing multiple genres. Draft, test, revise present findings in oral presentation. prereq: [Jr or sr or instr consent], [1301 or 1401 or equiv]
CSCI 4061 - Introduction to Operating Systems
Credits: 4.0 [max 4.0]
Typically offered: Every Fall & Spring
Processes/threads, process coordination, interprocess communication, asynchronous events, memory management/file systems. Systems programming projects using operating system interfaces and program development tools. prereq: 2021 or EE 2361; CS upper div, CS minor, CompE upper div., EE upper div., EE grad, ITI upper div., Univ. honors student, or dept. permission; no cr for grads in CSci.
CSCI 4211 - Introduction to Computer Networks
Credits: 3.0 [max 3.0]
Course Equivalencies: CSci 4211/5211
Typically offered: Every Fall & Spring
Concepts, principles, protocols, and applications of computer networks. Layered network architectures, data link protocols, local area networks, routing, transport, network programming interfaces, networked applications. Examples from Ethernet, Token Ring, TCP/IP, HTTP, WWW. prereq: 4061 or instr consent; basic knowledge of [computer architecture, operating systems] recommended, cannot be taken for grad CSci cr
INET 4031 - Introduction to Systems
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Overview of systems administration. Integration of hardware, software, and operational practice. Role of a systems administrator in today?s infrastructure world, the environment within which the administrator operates, and various components that influence decision-making criteria. Ways these technologies are implemented in practice are conveyed through industry speakers, tours, and demonstrations. Hands-on labs when possible. prereq: CSCI 4061 or consent of instructor.
INET 4051 - IT Infrastructure Operations
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Comprehensive review of major aspects of IT infrastructure and operations: networks, databases, servers, storage, project management, governance, compliance, monitoring, and more. Two research papers on current IT topics will be completed, along with weekly quizzes. prereq: senior; CSCI 42ll or instr consent
INET 4082W - IT Infrastructure Projects and Processes (WI)
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
This course presents an IT management perspective on business partnerships, project management and lifecycles, methodologies, processes, and organizational structures. It covers scope definition, resource estimating of time and cost, quality considerations, and metrics and risk analysis. Project management best practices are emphasized. All the concepts will be tied together with project simulation assignments. As a writing intensive designated course, it will spend significant time focusing on the writing process. Writing is crucial to this discipline because clear, accurate, and professional communication is essential to each element in the process of project management. The inability to write well, clearly, and in terms of specified audiences can, in the professional world, lead to not only miscommunication between team members but also, and more largely, to a failure of projects and the companies and employees they represent. prereq: 45 cr recommended
INET 4153 - Introduction to Security: Policy and Regulation
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Explores the significant domestic and international regulatory demands faced by information technology management (IT) in business and industry, with attention to the effects of those regulations on IT Infrastructure policy, technology management, and decision making. Several major U.S. and international regulatory documents will be studied. IT governance, risk and compliance management frameworks, best practices, and common approaches used to meet today’s regulatory challenges and support common business functions will be examined, as well as IT policies, procedures, and processes in highly regulated business sectors. prereq: experience with Windows/Internet; 45 semester credits
INET 4707 - Introduction to Databases
Credits: 4.0 [max 4.0]
Course Equivalencies: CSci 4707/5707/INET 4707
Grading Basis: A-F or Aud
Typically offered: Every Fall
Concepts, data models. Case studies, data manipulation languages, logical data models, database design, facilities for database security/integrity, applications. Prereq: CSci 4061, at least 45 cr completed; CSci majors contact CSci Dept before registering.
CSCI 4707 - Practice of Database Systems
Credits: 3.0 [max 3.0]
Course Equivalencies: CSci 4707/5707/INET 4707
Typically offered: Every Fall & Spring
Concepts, conceptual data models, case studies, common data manipulation languages, logical data models, database design, facilities for database security/integrity, applications. prereq: 4041 or instr consent
ABUS 4022W - Management in Organizations (WI)
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Demands on today's managers, with a focus on small to medium-sized organizations. Techniques/ideas beyond traditional studies. Applying management theory at all levels. Managing in a global workplace. Organizational planning and decision making. Organizing resources. Leading/motivating people. Controlling/evaluating organizational activities. This writing intensive designated course will spend significant time focusing on the writing process. Writing is crucial to this discipline because clear, accurate, and professional communication is essential to organization management. The ability to write effectively in terms of specified audiences ensures, in the professional world, successful communication between team members as well as the success of the projects, companies, and employees they represent. prereq: 45 semester credits recommended
HSM 4561 - Health Care Administration and Management
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Background knowledge and skills in business and administrative aspects of health care. Applications of behavioral and organizational theory to health care settings. Organization models, reimbursement methodologies, information systems, staff scheduling, employee evaluation, accreditation agencies, productivity management, budget planning, group leadership.
ABUS 4023W - Communicating for Results (WI)
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Aspects of communication essential for being persuasive/influential. Organizing/presenting ideas effectively, strategies for audience analysis, choosing communication methods, making appropriate use of informal influence methods, handling dissent. Processes for intercultural communication. prereq: 45 cr completed
ABUS 4101 - Accounting and Finance for Managers
Credits: 3.0 [max 3.0]
Course Equivalencies: 01315
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Cost accounting concepts. Cost behavior. Management decision making using cost data. Time value of money. Cost of capital. Capital budgeting techniques. Financial statement analysis. Assignments draw on business/industry examples. prereq: Financial accounting, 45 cr
HSM 4541 - Health Care Finance
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
General principles of financial management for health care industry. Operational knowledge of financial management theory, esp., how hospitals and their departments develop/balance operating/capital budget for business growth/development. Governmental policies, procedures, and ethical issues controlling the health care industry. prereq: Basic accounting knowledge, a course such as ACCT 2050, and knowledge of Microsoft Excel are strongly recommended. HSM pre-majors should wait for major status to take this course.
ABUS 3301 - Introduction to Quality Management
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Principles/concepts of managing quality in business applications. Improving business processes with six sigma method. Implementing/leading process improvement. Baldrige Award, ISO 9000. prereq: Introductory statistics
MM 4201 - Quality Engineering and Process Improvement
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Principles and historical foundations of total quality. Best practices of high-performing quality organizations. Role of leadership and strategic planning. How to implement continuous improvement in manufacturing processes. Baldrige criteria, ISO 9000 standards, Lean Six Sigma. prereq: Statistics, 45 cr
ABUS 4022W - Management in Organizations (WI)
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Demands on today's managers, with a focus on small to medium-sized organizations. Techniques/ideas beyond traditional studies. Applying management theory at all levels. Managing in a global workplace. Organizational planning and decision making. Organizing resources. Leading/motivating people. Controlling/evaluating organizational activities. This writing intensive designated course will spend significant time focusing on the writing process. Writing is crucial to this discipline because clear, accurate, and professional communication is essential to organization management. The ability to write effectively in terms of specified audiences ensures, in the professional world, successful communication between team members as well as the success of the projects, companies, and employees they represent. prereq: 45 semester credits recommended
COMM 3605W - Persuasive Speaking and Speech Writing (WI)
Credits: 3.0 [max 3.0]
Typically offered: Every Fall, Spring & Summer
Performance/composition with critical inquiry into rhetoric theories. Writing, thinking, and speaking skills. prereq: 1101, soph
WRIT 3152W - Writing on Issues of Science and Technology (WI)
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Read books/articles, discuss, and write about major issues in science/technology. Possible topics: DNA and human genome. Animal/human interaction. Global warming; Alternative energies; Animal/human cloning and stem-cell research. Vaccines from Smallpox to AIDS. Why civilizations collapse.
WRIT 3562W - Technical and Professional Writing (WI)
Credits: 4.0 [max 4.0]
Course Equivalencies: 01235 - Writ 3562V/Writ 3562W
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Written/oral communication in professional settings, gathering research, analyzing audience, assessing/practicing multiple genres. Draft, test, revise present findings in oral presentation. prereq: [Jr or sr or instr consent], [1301 or 1401 or equiv]
INET 4709 - Data Management I: Fundamentals
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
This course provides insight into concepts and techniques for installing and managing highly scalable relational databases: storage, protection, structure, tuning, and access. Students will learn how to integrate business requirements into specific database policies and procedures. Topics include selection of hardware and software components, backup and disaster recovery, performance metrics, high availability, and monitoring techniques. Hands-on lab exercises will utilize core concepts covered in lecture: installation of MySQL, backup and recovery, import and export, security, transaction management, data partitioning, and database replication. prereq: INet/CSci 4707 and CSci 4061, or professional experience with SQL and basic operating systems.
INET 4711 - Data Management II: Distributed Systems
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Introduction to distributed programming and systems concepts in high-scale environments with a focus on application to commercial systems in the data center. Discussion of key protocols and algorithms as well as best-practice implementations on platforms commonly associated with big data in the enterprise. Hands-on experience in the design and engineering of distributed systems on cloud-oriented technologies. prereq: INET 4031 and 4707 or consent of instructor.
INET 4007 - Security II: Cyber Security
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall
An exploration of information security, how it applies to current networking technologies, and ways these technologies are used and consumed. New authentication methods for securing user data, such as telemetry, biometrics, and N factor authentication, will be surveyed. The course will also look at recent instances of information breaches that have put a spotlight on security, especially as they relate to cloud services, virtual environments, and Internet standards. No prerequisites. Basic knowledge of security issues and processes (detection, risk assessment, technology, secure design, business continuity, forensics, and legal aspects) is recommended. If you have taken INet 4165, you will be well prepared. If you are unsure about whether your knowledge is sufficient for success in this class, contact the instructor.
INET 4011 - Networking I: Network Administration
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
A combination of networking theory (lecture and expert guest speakers) and application (lab work). Topics include network architecture, switching, routing, algorithms, protocols, infrastructure hardware, cable plant, security, and network management. prereq: CSCI 4211-Introduction to Computer Networks or equivalent networking knowledge and understanding.
INET 4021 - Dev Ops I: Network Programming
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Network and distributed programming concepts. Design using C, Java, and other higher-level programming languages. Sockets, TCP/IP, RPC, streaming, CORBA, .NET, and SOAP. Labs use UNIX/Linux and MS Windows operating systems. prereq: major admission requirements completed.
INET 4032 - Systems I: Storage
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Information is one of the most valuable commodities of the 21st century. This course deals with the proper care and handling of enterprise data, whether the “enterprise” is a large multinational corporation, a family home, or something in between. Topics include storage network architecture and storage system design. We will examine data storage technology; local, network, and distributed storage; storage history; data protection policy and implementation (including redundancy, replication, backup, and archive storage); security; compression and encryption; and emerging technologies like Big Data, Cloud storage, AWS, Google, and vCloud Air. prereq: Fundamental understanding of an operating system such as Microsoft Windows, Linux, or Apple OSX, in the areas of file systems, I/O, computer architecture, and basic administration.
INET 4041 - Networking II: Emerging Technologies
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Emerging networking concepts, technologies, and applications. Topics will evolve to reflect current trends and expertise of the faculty, such as high speed networking, ATM, network security, wireless networks, multimedia, and electronic commerce. Each technology is considered for the underlying theory; the driving technological and business needs; the applications; the competing alternative technologies; and the design, implementation, and configuration of such systems. Case studies may be used to identify and analyze strategic issues and problems. Concepts and tools from this and previous ITI courses are applied to solve these problems and design realistic programs of action. Hands-on labs are included when possible. Industry speakers, tours, and demonstrations show practical applications. prereq: CSci 4211 or equivalent, or professional experience, to comprise a basic understanding and knowledge of operating systems, computer architecture, and probability theory. Senior status preferred.
INET 4061 - Data Science I: Fundamentals
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Introduction to data science. Design strategies for business analytics: statistics basics, core data mining models, dimensional model, data pipeline, visualization. Hands-on labs with in-memory analytics, relational database, and statistics software. prereq: [4707 or CSCI 4707 or instr consent], laptop
INET 4083 - Systems II: Analysis and Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Requirements management, analysis, and design of computer system solutions targeting business objectives. System development life cycle. Development methodologies. Analysis/design tools/techniques; communication strategies. System architecture as business strategy. Prereq: INet 4082 or equivalent project management experience
INET 4121 - DevOps II: Development Strategies
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
DevOps (Development and Operations) is the term used to describe the collaboration of software engineers with the quality assurance and operations teams who test, deploy, and operate new systems. Its goal is to generate better and more continuous feedback regarding what is being developed, consumed, and operated, in order to increase delivery and deployment speed while maintaining system stability. Topics include configuration management, application deployment, monitoring of application and infrastructure performance, version control, and testing and building systems. Professional software engineering tools for the continuous integration tool chain are surveyed, and the Python language, combined with operating system and web functions, is used to develop tools for automating DevOps practices. (Though assignments are in Python, students with only Java or C++ should be able to learn Python quickly.) prereqs: CSCI 4061 or operating system knowledge, basic knowledge of Python
INET 4165 - Security I: Principles
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
An in-depth look at the information security profession. Focuses on real-world IT security issues and processes rather than any particular technology or product solution. Topics include risk assessments/pen testing, ethics, malicious code, preservation of business continuity/disaster recovery, security policies and procedures, security awareness, encryption, privacy and legal issues, intruder detection, forensics, secure web design, incident response, vulnerability assessment, and security audits. prereq: CSCI 4061 or equiv experience with operating systems
INET 4710 - Data Science II: Big Data Analytics
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Scales machine learning models and data analysis to a Big Data platform. Map Reduce and Spark frameworks are introduced as approaches to parallel algorithm development. Hands-on labs. Prerequisites: Basic programming knowledge (Java, Python, R). Linear algebra strongly recommended, especially matrix operations (e.g., MATH 2243, Linear Algebra and Differential Equations)
INET 4193 - Directed Study
Credits: 1.0 -4.0 [max 12.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Independent project. Topic arranged with and supervised by ITI faculty. prereq: ITI student, dept consent
INET 4596 - Internship
Credits: 1.0 -3.0 [max 6.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Hands-on work experiences in a professional IT setting. Students apply coursework, contribute to knowledge of best practices, and participate in career development. prereq: [ITI major or certificate student], [jr or sr], dept consent
INET 4061 - Data Science I: Fundamentals
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Introduction to data science. Design strategies for business analytics: statistics basics, core data mining models, dimensional model, data pipeline, visualization. Hands-on labs with in-memory analytics, relational database, and statistics software. prereq: [4707 or CSCI 4707 or instr consent], laptop
INET 4710 - Data Science II: Big Data Analytics
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Scales machine learning models and data analysis to a Big Data platform. Map Reduce and Spark frameworks are introduced as approaches to parallel algorithm development. Hands-on labs. Prerequisites: Basic programming knowledge (Java, Python, R). Linear algebra strongly recommended, especially matrix operations (e.g., MATH 2243, Linear Algebra and Differential Equations)
INET 4007 - Security II: Cyber Security
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall
An exploration of information security, how it applies to current networking technologies, and ways these technologies are used and consumed. New authentication methods for securing user data, such as telemetry, biometrics, and N factor authentication, will be surveyed. The course will also look at recent instances of information breaches that have put a spotlight on security, especially as they relate to cloud services, virtual environments, and Internet standards. No prerequisites. Basic knowledge of security issues and processes (detection, risk assessment, technology, secure design, business continuity, forensics, and legal aspects) is recommended. If you have taken INet 4165, you will be well prepared. If you are unsure about whether your knowledge is sufficient for success in this class, contact the instructor.
INET 4011 - Networking I: Network Administration
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
A combination of networking theory (lecture and expert guest speakers) and application (lab work). Topics include network architecture, switching, routing, algorithms, protocols, infrastructure hardware, cable plant, security, and network management. prereq: CSCI 4211-Introduction to Computer Networks or equivalent networking knowledge and understanding.
INET 4021 - Dev Ops I: Network Programming
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Network and distributed programming concepts. Design using C, Java, and other higher-level programming languages. Sockets, TCP/IP, RPC, streaming, CORBA, .NET, and SOAP. Labs use UNIX/Linux and MS Windows operating systems. prereq: major admission requirements completed.
INET 4032 - Systems I: Storage
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Information is one of the most valuable commodities of the 21st century. This course deals with the proper care and handling of enterprise data, whether the “enterprise” is a large multinational corporation, a family home, or something in between. Topics include storage network architecture and storage system design. We will examine data storage technology; local, network, and distributed storage; storage history; data protection policy and implementation (including redundancy, replication, backup, and archive storage); security; compression and encryption; and emerging technologies like Big Data, Cloud storage, AWS, Google, and vCloud Air. prereq: Fundamental understanding of an operating system such as Microsoft Windows, Linux, or Apple OSX, in the areas of file systems, I/O, computer architecture, and basic administration.
INET 4041 - Networking II: Emerging Technologies
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Emerging networking concepts, technologies, and applications. Topics will evolve to reflect current trends and expertise of the faculty, such as high speed networking, ATM, network security, wireless networks, multimedia, and electronic commerce. Each technology is considered for the underlying theory; the driving technological and business needs; the applications; the competing alternative technologies; and the design, implementation, and configuration of such systems. Case studies may be used to identify and analyze strategic issues and problems. Concepts and tools from this and previous ITI courses are applied to solve these problems and design realistic programs of action. Hands-on labs are included when possible. Industry speakers, tours, and demonstrations show practical applications. prereq: CSci 4211 or equivalent, or professional experience, to comprise a basic understanding and knowledge of operating systems, computer architecture, and probability theory. Senior status preferred.
INET 4083 - Systems II: Analysis and Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Requirements management, analysis, and design of computer system solutions targeting business objectives. System development life cycle. Development methodologies. Analysis/design tools/techniques; communication strategies. System architecture as business strategy. Prereq: INet 4082 or equivalent project management experience
INET 4121 - DevOps II: Development Strategies
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
DevOps (Development and Operations) is the term used to describe the collaboration of software engineers with the quality assurance and operations teams who test, deploy, and operate new systems. Its goal is to generate better and more continuous feedback regarding what is being developed, consumed, and operated, in order to increase delivery and deployment speed while maintaining system stability. Topics include configuration management, application deployment, monitoring of application and infrastructure performance, version control, and testing and building systems. Professional software engineering tools for the continuous integration tool chain are surveyed, and the Python language, combined with operating system and web functions, is used to develop tools for automating DevOps practices. (Though assignments are in Python, students with only Java or C++ should be able to learn Python quickly.) prereqs: CSCI 4061 or operating system knowledge, basic knowledge of Python
INET 4165 - Security I: Principles
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
An in-depth look at the information security profession. Focuses on real-world IT security issues and processes rather than any particular technology or product solution. Topics include risk assessments/pen testing, ethics, malicious code, preservation of business continuity/disaster recovery, security policies and procedures, security awareness, encryption, privacy and legal issues, intruder detection, forensics, secure web design, incident response, vulnerability assessment, and security audits. prereq: CSCI 4061 or equiv experience with operating systems
INET 4709 - Data Management I: Fundamentals
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
This course provides insight into concepts and techniques for installing and managing highly scalable relational databases: storage, protection, structure, tuning, and access. Students will learn how to integrate business requirements into specific database policies and procedures. Topics include selection of hardware and software components, backup and disaster recovery, performance metrics, high availability, and monitoring techniques. Hands-on lab exercises will utilize core concepts covered in lecture: installation of MySQL, backup and recovery, import and export, security, transaction management, data partitioning, and database replication. prereq: INet/CSci 4707 and CSci 4061, or professional experience with SQL and basic operating systems.
INET 4711 - Data Management II: Distributed Systems
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Introduction to distributed programming and systems concepts in high-scale environments with a focus on application to commercial systems in the data center. Discussion of key protocols and algorithms as well as best-practice implementations on platforms commonly associated with big data in the enterprise. Hands-on experience in the design and engineering of distributed systems on cloud-oriented technologies. prereq: INET 4031 and 4707 or consent of instructor.
INET 4193 - Directed Study
Credits: 1.0 -4.0 [max 12.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Independent project. Topic arranged with and supervised by ITI faculty. prereq: ITI student, dept consent
INET 4596 - Internship
Credits: 1.0 -3.0 [max 6.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Hands-on work experiences in a professional IT setting. Students apply coursework, contribute to knowledge of best practices, and participate in career development. prereq: [ITI major or certificate student], [jr or sr], dept consent
INET 4021 - Dev Ops I: Network Programming
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Network and distributed programming concepts. Design using C, Java, and other higher-level programming languages. Sockets, TCP/IP, RPC, streaming, CORBA, .NET, and SOAP. Labs use UNIX/Linux and MS Windows operating systems. prereq: major admission requirements completed.
INET 4121 - DevOps II: Development Strategies
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
DevOps (Development and Operations) is the term used to describe the collaboration of software engineers with the quality assurance and operations teams who test, deploy, and operate new systems. Its goal is to generate better and more continuous feedback regarding what is being developed, consumed, and operated, in order to increase delivery and deployment speed while maintaining system stability. Topics include configuration management, application deployment, monitoring of application and infrastructure performance, version control, and testing and building systems. Professional software engineering tools for the continuous integration tool chain are surveyed, and the Python language, combined with operating system and web functions, is used to develop tools for automating DevOps practices. (Though assignments are in Python, students with only Java or C++ should be able to learn Python quickly.) prereqs: CSCI 4061 or operating system knowledge, basic knowledge of Python
INET 4007 - Security II: Cyber Security
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall
An exploration of information security, how it applies to current networking technologies, and ways these technologies are used and consumed. New authentication methods for securing user data, such as telemetry, biometrics, and N factor authentication, will be surveyed. The course will also look at recent instances of information breaches that have put a spotlight on security, especially as they relate to cloud services, virtual environments, and Internet standards. No prerequisites. Basic knowledge of security issues and processes (detection, risk assessment, technology, secure design, business continuity, forensics, and legal aspects) is recommended. If you have taken INet 4165, you will be well prepared. If you are unsure about whether your knowledge is sufficient for success in this class, contact the instructor.
INET 4011 - Networking I: Network Administration
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
A combination of networking theory (lecture and expert guest speakers) and application (lab work). Topics include network architecture, switching, routing, algorithms, protocols, infrastructure hardware, cable plant, security, and network management. prereq: CSCI 4211-Introduction to Computer Networks or equivalent networking knowledge and understanding.
INET 4032 - Systems I: Storage
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Information is one of the most valuable commodities of the 21st century. This course deals with the proper care and handling of enterprise data, whether the “enterprise” is a large multinational corporation, a family home, or something in between. Topics include storage network architecture and storage system design. We will examine data storage technology; local, network, and distributed storage; storage history; data protection policy and implementation (including redundancy, replication, backup, and archive storage); security; compression and encryption; and emerging technologies like Big Data, Cloud storage, AWS, Google, and vCloud Air. prereq: Fundamental understanding of an operating system such as Microsoft Windows, Linux, or Apple OSX, in the areas of file systems, I/O, computer architecture, and basic administration.
INET 4041 - Networking II: Emerging Technologies
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Emerging networking concepts, technologies, and applications. Topics will evolve to reflect current trends and expertise of the faculty, such as high speed networking, ATM, network security, wireless networks, multimedia, and electronic commerce. Each technology is considered for the underlying theory; the driving technological and business needs; the applications; the competing alternative technologies; and the design, implementation, and configuration of such systems. Case studies may be used to identify and analyze strategic issues and problems. Concepts and tools from this and previous ITI courses are applied to solve these problems and design realistic programs of action. Hands-on labs are included when possible. Industry speakers, tours, and demonstrations show practical applications. prereq: CSci 4211 or equivalent, or professional experience, to comprise a basic understanding and knowledge of operating systems, computer architecture, and probability theory. Senior status preferred.
INET 4061 - Data Science I: Fundamentals
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Introduction to data science. Design strategies for business analytics: statistics basics, core data mining models, dimensional model, data pipeline, visualization. Hands-on labs with in-memory analytics, relational database, and statistics software. prereq: [4707 or CSCI 4707 or instr consent], laptop
INET 4083 - Systems II: Analysis and Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Requirements management, analysis, and design of computer system solutions targeting business objectives. System development life cycle. Development methodologies. Analysis/design tools/techniques; communication strategies. System architecture as business strategy. Prereq: INet 4082 or equivalent project management experience
INET 4165 - Security I: Principles
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
An in-depth look at the information security profession. Focuses on real-world IT security issues and processes rather than any particular technology or product solution. Topics include risk assessments/pen testing, ethics, malicious code, preservation of business continuity/disaster recovery, security policies and procedures, security awareness, encryption, privacy and legal issues, intruder detection, forensics, secure web design, incident response, vulnerability assessment, and security audits. prereq: CSCI 4061 or equiv experience with operating systems
INET 4709 - Data Management I: Fundamentals
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
This course provides insight into concepts and techniques for installing and managing highly scalable relational databases: storage, protection, structure, tuning, and access. Students will learn how to integrate business requirements into specific database policies and procedures. Topics include selection of hardware and software components, backup and disaster recovery, performance metrics, high availability, and monitoring techniques. Hands-on lab exercises will utilize core concepts covered in lecture: installation of MySQL, backup and recovery, import and export, security, transaction management, data partitioning, and database replication. prereq: INet/CSci 4707 and CSci 4061, or professional experience with SQL and basic operating systems.
INET 4710 - Data Science II: Big Data Analytics
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Scales machine learning models and data analysis to a Big Data platform. Map Reduce and Spark frameworks are introduced as approaches to parallel algorithm development. Hands-on labs. Prerequisites: Basic programming knowledge (Java, Python, R). Linear algebra strongly recommended, especially matrix operations (e.g., MATH 2243, Linear Algebra and Differential Equations)
INET 4711 - Data Management II: Distributed Systems
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Introduction to distributed programming and systems concepts in high-scale environments with a focus on application to commercial systems in the data center. Discussion of key protocols and algorithms as well as best-practice implementations on platforms commonly associated with big data in the enterprise. Hands-on experience in the design and engineering of distributed systems on cloud-oriented technologies. prereq: INET 4031 and 4707 or consent of instructor.
INET 4193 - Directed Study
Credits: 1.0 -4.0 [max 12.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Independent project. Topic arranged with and supervised by ITI faculty. prereq: ITI student, dept consent
INET 4596 - Internship
Credits: 1.0 -3.0 [max 6.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Hands-on work experiences in a professional IT setting. Students apply coursework, contribute to knowledge of best practices, and participate in career development. prereq: [ITI major or certificate student], [jr or sr], dept consent
INET 4011 - Networking I: Network Administration
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
A combination of networking theory (lecture and expert guest speakers) and application (lab work). Topics include network architecture, switching, routing, algorithms, protocols, infrastructure hardware, cable plant, security, and network management. prereq: CSCI 4211-Introduction to Computer Networks or equivalent networking knowledge and understanding.
INET 4041 - Networking II: Emerging Technologies
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Emerging networking concepts, technologies, and applications. Topics will evolve to reflect current trends and expertise of the faculty, such as high speed networking, ATM, network security, wireless networks, multimedia, and electronic commerce. Each technology is considered for the underlying theory; the driving technological and business needs; the applications; the competing alternative technologies; and the design, implementation, and configuration of such systems. Case studies may be used to identify and analyze strategic issues and problems. Concepts and tools from this and previous ITI courses are applied to solve these problems and design realistic programs of action. Hands-on labs are included when possible. Industry speakers, tours, and demonstrations show practical applications. prereq: CSci 4211 or equivalent, or professional experience, to comprise a basic understanding and knowledge of operating systems, computer architecture, and probability theory. Senior status preferred.
INET 4007 - Security II: Cyber Security
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall
An exploration of information security, how it applies to current networking technologies, and ways these technologies are used and consumed. New authentication methods for securing user data, such as telemetry, biometrics, and N factor authentication, will be surveyed. The course will also look at recent instances of information breaches that have put a spotlight on security, especially as they relate to cloud services, virtual environments, and Internet standards. No prerequisites. Basic knowledge of security issues and processes (detection, risk assessment, technology, secure design, business continuity, forensics, and legal aspects) is recommended. If you have taken INet 4165, you will be well prepared. If you are unsure about whether your knowledge is sufficient for success in this class, contact the instructor.
INET 4021 - Dev Ops I: Network Programming
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Network and distributed programming concepts. Design using C, Java, and other higher-level programming languages. Sockets, TCP/IP, RPC, streaming, CORBA, .NET, and SOAP. Labs use UNIX/Linux and MS Windows operating systems. prereq: major admission requirements completed.
INET 4032 - Systems I: Storage
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Information is one of the most valuable commodities of the 21st century. This course deals with the proper care and handling of enterprise data, whether the “enterprise” is a large multinational corporation, a family home, or something in between. Topics include storage network architecture and storage system design. We will examine data storage technology; local, network, and distributed storage; storage history; data protection policy and implementation (including redundancy, replication, backup, and archive storage); security; compression and encryption; and emerging technologies like Big Data, Cloud storage, AWS, Google, and vCloud Air. prereq: Fundamental understanding of an operating system such as Microsoft Windows, Linux, or Apple OSX, in the areas of file systems, I/O, computer architecture, and basic administration.
INET 4061 - Data Science I: Fundamentals
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Introduction to data science. Design strategies for business analytics: statistics basics, core data mining models, dimensional model, data pipeline, visualization. Hands-on labs with in-memory analytics, relational database, and statistics software. prereq: [4707 or CSCI 4707 or instr consent], laptop
INET 4083 - Systems II: Analysis and Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Requirements management, analysis, and design of computer system solutions targeting business objectives. System development life cycle. Development methodologies. Analysis/design tools/techniques; communication strategies. System architecture as business strategy. Prereq: INet 4082 or equivalent project management experience
INET 4121 - DevOps II: Development Strategies
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
DevOps (Development and Operations) is the term used to describe the collaboration of software engineers with the quality assurance and operations teams who test, deploy, and operate new systems. Its goal is to generate better and more continuous feedback regarding what is being developed, consumed, and operated, in order to increase delivery and deployment speed while maintaining system stability. Topics include configuration management, application deployment, monitoring of application and infrastructure performance, version control, and testing and building systems. Professional software engineering tools for the continuous integration tool chain are surveyed, and the Python language, combined with operating system and web functions, is used to develop tools for automating DevOps practices. (Though assignments are in Python, students with only Java or C++ should be able to learn Python quickly.) prereqs: CSCI 4061 or operating system knowledge, basic knowledge of Python
INET 4165 - Security I: Principles
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
An in-depth look at the information security profession. Focuses on real-world IT security issues and processes rather than any particular technology or product solution. Topics include risk assessments/pen testing, ethics, malicious code, preservation of business continuity/disaster recovery, security policies and procedures, security awareness, encryption, privacy and legal issues, intruder detection, forensics, secure web design, incident response, vulnerability assessment, and security audits. prereq: CSCI 4061 or equiv experience with operating systems
INET 4709 - Data Management I: Fundamentals
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
This course provides insight into concepts and techniques for installing and managing highly scalable relational databases: storage, protection, structure, tuning, and access. Students will learn how to integrate business requirements into specific database policies and procedures. Topics include selection of hardware and software components, backup and disaster recovery, performance metrics, high availability, and monitoring techniques. Hands-on lab exercises will utilize core concepts covered in lecture: installation of MySQL, backup and recovery, import and export, security, transaction management, data partitioning, and database replication. prereq: INet/CSci 4707 and CSci 4061, or professional experience with SQL and basic operating systems.
INET 4710 - Data Science II: Big Data Analytics
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Scales machine learning models and data analysis to a Big Data platform. Map Reduce and Spark frameworks are introduced as approaches to parallel algorithm development. Hands-on labs. Prerequisites: Basic programming knowledge (Java, Python, R). Linear algebra strongly recommended, especially matrix operations (e.g., MATH 2243, Linear Algebra and Differential Equations)
INET 4711 - Data Management II: Distributed Systems
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Introduction to distributed programming and systems concepts in high-scale environments with a focus on application to commercial systems in the data center. Discussion of key protocols and algorithms as well as best-practice implementations on platforms commonly associated with big data in the enterprise. Hands-on experience in the design and engineering of distributed systems on cloud-oriented technologies. prereq: INET 4031 and 4707 or consent of instructor.
INET 4193 - Directed Study
Credits: 1.0 -4.0 [max 12.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Independent project. Topic arranged with and supervised by ITI faculty. prereq: ITI student, dept consent
INET 4596 - Internship
Credits: 1.0 -3.0 [max 6.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Hands-on work experiences in a professional IT setting. Students apply coursework, contribute to knowledge of best practices, and participate in career development. prereq: [ITI major or certificate student], [jr or sr], dept consent
INET 4007 - Security II: Cyber Security
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall
An exploration of information security, how it applies to current networking technologies, and ways these technologies are used and consumed. New authentication methods for securing user data, such as telemetry, biometrics, and N factor authentication, will be surveyed. The course will also look at recent instances of information breaches that have put a spotlight on security, especially as they relate to cloud services, virtual environments, and Internet standards. No prerequisites. Basic knowledge of security issues and processes (detection, risk assessment, technology, secure design, business continuity, forensics, and legal aspects) is recommended. If you have taken INet 4165, you will be well prepared. If you are unsure about whether your knowledge is sufficient for success in this class, contact the instructor.
INET 4165 - Security I: Principles
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
An in-depth look at the information security profession. Focuses on real-world IT security issues and processes rather than any particular technology or product solution. Topics include risk assessments/pen testing, ethics, malicious code, preservation of business continuity/disaster recovery, security policies and procedures, security awareness, encryption, privacy and legal issues, intruder detection, forensics, secure web design, incident response, vulnerability assessment, and security audits. prereq: CSCI 4061 or equiv experience with operating systems
INET 4011 - Networking I: Network Administration
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
A combination of networking theory (lecture and expert guest speakers) and application (lab work). Topics include network architecture, switching, routing, algorithms, protocols, infrastructure hardware, cable plant, security, and network management. prereq: CSCI 4211-Introduction to Computer Networks or equivalent networking knowledge and understanding.
INET 4021 - Dev Ops I: Network Programming
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Network and distributed programming concepts. Design using C, Java, and other higher-level programming languages. Sockets, TCP/IP, RPC, streaming, CORBA, .NET, and SOAP. Labs use UNIX/Linux and MS Windows operating systems. prereq: major admission requirements completed.
INET 4032 - Systems I: Storage
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Information is one of the most valuable commodities of the 21st century. This course deals with the proper care and handling of enterprise data, whether the “enterprise” is a large multinational corporation, a family home, or something in between. Topics include storage network architecture and storage system design. We will examine data storage technology; local, network, and distributed storage; storage history; data protection policy and implementation (including redundancy, replication, backup, and archive storage); security; compression and encryption; and emerging technologies like Big Data, Cloud storage, AWS, Google, and vCloud Air. prereq: Fundamental understanding of an operating system such as Microsoft Windows, Linux, or Apple OSX, in the areas of file systems, I/O, computer architecture, and basic administration.
INET 4041 - Networking II: Emerging Technologies
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Emerging networking concepts, technologies, and applications. Topics will evolve to reflect current trends and expertise of the faculty, such as high speed networking, ATM, network security, wireless networks, multimedia, and electronic commerce. Each technology is considered for the underlying theory; the driving technological and business needs; the applications; the competing alternative technologies; and the design, implementation, and configuration of such systems. Case studies may be used to identify and analyze strategic issues and problems. Concepts and tools from this and previous ITI courses are applied to solve these problems and design realistic programs of action. Hands-on labs are included when possible. Industry speakers, tours, and demonstrations show practical applications. prereq: CSci 4211 or equivalent, or professional experience, to comprise a basic understanding and knowledge of operating systems, computer architecture, and probability theory. Senior status preferred.
INET 4061 - Data Science I: Fundamentals
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Introduction to data science. Design strategies for business analytics: statistics basics, core data mining models, dimensional model, data pipeline, visualization. Hands-on labs with in-memory analytics, relational database, and statistics software. prereq: [4707 or CSCI 4707 or instr consent], laptop
INET 4083 - Systems II: Analysis and Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Requirements management, analysis, and design of computer system solutions targeting business objectives. System development life cycle. Development methodologies. Analysis/design tools/techniques; communication strategies. System architecture as business strategy. Prereq: INet 4082 or equivalent project management experience
INET 4121 - DevOps II: Development Strategies
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
DevOps (Development and Operations) is the term used to describe the collaboration of software engineers with the quality assurance and operations teams who test, deploy, and operate new systems. Its goal is to generate better and more continuous feedback regarding what is being developed, consumed, and operated, in order to increase delivery and deployment speed while maintaining system stability. Topics include configuration management, application deployment, monitoring of application and infrastructure performance, version control, and testing and building systems. Professional software engineering tools for the continuous integration tool chain are surveyed, and the Python language, combined with operating system and web functions, is used to develop tools for automating DevOps practices. (Though assignments are in Python, students with only Java or C++ should be able to learn Python quickly.) prereqs: CSCI 4061 or operating system knowledge, basic knowledge of Python
INET 4709 - Data Management I: Fundamentals
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
This course provides insight into concepts and techniques for installing and managing highly scalable relational databases: storage, protection, structure, tuning, and access. Students will learn how to integrate business requirements into specific database policies and procedures. Topics include selection of hardware and software components, backup and disaster recovery, performance metrics, high availability, and monitoring techniques. Hands-on lab exercises will utilize core concepts covered in lecture: installation of MySQL, backup and recovery, import and export, security, transaction management, data partitioning, and database replication. prereq: INet/CSci 4707 and CSci 4061, or professional experience with SQL and basic operating systems.
INET 4710 - Data Science II: Big Data Analytics
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Scales machine learning models and data analysis to a Big Data platform. Map Reduce and Spark frameworks are introduced as approaches to parallel algorithm development. Hands-on labs. Prerequisites: Basic programming knowledge (Java, Python, R). Linear algebra strongly recommended, especially matrix operations (e.g., MATH 2243, Linear Algebra and Differential Equations)
INET 4711 - Data Management II: Distributed Systems
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Introduction to distributed programming and systems concepts in high-scale environments with a focus on application to commercial systems in the data center. Discussion of key protocols and algorithms as well as best-practice implementations on platforms commonly associated with big data in the enterprise. Hands-on experience in the design and engineering of distributed systems on cloud-oriented technologies. prereq: INET 4031 and 4707 or consent of instructor.
INET 4193 - Directed Study
Credits: 1.0 -4.0 [max 12.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Independent project. Topic arranged with and supervised by ITI faculty. prereq: ITI student, dept consent
INET 4596 - Internship
Credits: 1.0 -3.0 [max 6.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Hands-on work experiences in a professional IT setting. Students apply coursework, contribute to knowledge of best practices, and participate in career development. prereq: [ITI major or certificate student], [jr or sr], dept consent
INET 4032 - Systems I: Storage
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Information is one of the most valuable commodities of the 21st century. This course deals with the proper care and handling of enterprise data, whether the “enterprise” is a large multinational corporation, a family home, or something in between. Topics include storage network architecture and storage system design. We will examine data storage technology; local, network, and distributed storage; storage history; data protection policy and implementation (including redundancy, replication, backup, and archive storage); security; compression and encryption; and emerging technologies like Big Data, Cloud storage, AWS, Google, and vCloud Air. prereq: Fundamental understanding of an operating system such as Microsoft Windows, Linux, or Apple OSX, in the areas of file systems, I/O, computer architecture, and basic administration.
INET 4083 - Systems II: Analysis and Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Requirements management, analysis, and design of computer system solutions targeting business objectives. System development life cycle. Development methodologies. Analysis/design tools/techniques; communication strategies. System architecture as business strategy. Prereq: INet 4082 or equivalent project management experience
INET 4007 - Security II: Cyber Security
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall
An exploration of information security, how it applies to current networking technologies, and ways these technologies are used and consumed. New authentication methods for securing user data, such as telemetry, biometrics, and N factor authentication, will be surveyed. The course will also look at recent instances of information breaches that have put a spotlight on security, especially as they relate to cloud services, virtual environments, and Internet standards. No prerequisites. Basic knowledge of security issues and processes (detection, risk assessment, technology, secure design, business continuity, forensics, and legal aspects) is recommended. If you have taken INet 4165, you will be well prepared. If you are unsure about whether your knowledge is sufficient for success in this class, contact the instructor.
INET 4011 - Networking I: Network Administration
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
A combination of networking theory (lecture and expert guest speakers) and application (lab work). Topics include network architecture, switching, routing, algorithms, protocols, infrastructure hardware, cable plant, security, and network management. prereq: CSCI 4211-Introduction to Computer Networks or equivalent networking knowledge and understanding.
INET 4021 - Dev Ops I: Network Programming
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Network and distributed programming concepts. Design using C, Java, and other higher-level programming languages. Sockets, TCP/IP, RPC, streaming, CORBA, .NET, and SOAP. Labs use UNIX/Linux and MS Windows operating systems. prereq: major admission requirements completed.
INET 4041 - Networking II: Emerging Technologies
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Emerging networking concepts, technologies, and applications. Topics will evolve to reflect current trends and expertise of the faculty, such as high speed networking, ATM, network security, wireless networks, multimedia, and electronic commerce. Each technology is considered for the underlying theory; the driving technological and business needs; the applications; the competing alternative technologies; and the design, implementation, and configuration of such systems. Case studies may be used to identify and analyze strategic issues and problems. Concepts and tools from this and previous ITI courses are applied to solve these problems and design realistic programs of action. Hands-on labs are included when possible. Industry speakers, tours, and demonstrations show practical applications. prereq: CSci 4211 or equivalent, or professional experience, to comprise a basic understanding and knowledge of operating systems, computer architecture, and probability theory. Senior status preferred.
INET 4061 - Data Science I: Fundamentals
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Introduction to data science. Design strategies for business analytics: statistics basics, core data mining models, dimensional model, data pipeline, visualization. Hands-on labs with in-memory analytics, relational database, and statistics software. prereq: [4707 or CSCI 4707 or instr consent], laptop
INET 4121 - DevOps II: Development Strategies
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
DevOps (Development and Operations) is the term used to describe the collaboration of software engineers with the quality assurance and operations teams who test, deploy, and operate new systems. Its goal is to generate better and more continuous feedback regarding what is being developed, consumed, and operated, in order to increase delivery and deployment speed while maintaining system stability. Topics include configuration management, application deployment, monitoring of application and infrastructure performance, version control, and testing and building systems. Professional software engineering tools for the continuous integration tool chain are surveyed, and the Python language, combined with operating system and web functions, is used to develop tools for automating DevOps practices. (Though assignments are in Python, students with only Java or C++ should be able to learn Python quickly.) prereqs: CSCI 4061 or operating system knowledge, basic knowledge of Python
INET 4165 - Security I: Principles
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
An in-depth look at the information security profession. Focuses on real-world IT security issues and processes rather than any particular technology or product solution. Topics include risk assessments/pen testing, ethics, malicious code, preservation of business continuity/disaster recovery, security policies and procedures, security awareness, encryption, privacy and legal issues, intruder detection, forensics, secure web design, incident response, vulnerability assessment, and security audits. prereq: CSCI 4061 or equiv experience with operating systems
INET 4709 - Data Management I: Fundamentals
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
This course provides insight into concepts and techniques for installing and managing highly scalable relational databases: storage, protection, structure, tuning, and access. Students will learn how to integrate business requirements into specific database policies and procedures. Topics include selection of hardware and software components, backup and disaster recovery, performance metrics, high availability, and monitoring techniques. Hands-on lab exercises will utilize core concepts covered in lecture: installation of MySQL, backup and recovery, import and export, security, transaction management, data partitioning, and database replication. prereq: INet/CSci 4707 and CSci 4061, or professional experience with SQL and basic operating systems.
INET 4710 - Data Science II: Big Data Analytics
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Scales machine learning models and data analysis to a Big Data platform. Map Reduce and Spark frameworks are introduced as approaches to parallel algorithm development. Hands-on labs. Prerequisites: Basic programming knowledge (Java, Python, R). Linear algebra strongly recommended, especially matrix operations (e.g., MATH 2243, Linear Algebra and Differential Equations)
INET 4711 - Data Management II: Distributed Systems
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Introduction to distributed programming and systems concepts in high-scale environments with a focus on application to commercial systems in the data center. Discussion of key protocols and algorithms as well as best-practice implementations on platforms commonly associated with big data in the enterprise. Hands-on experience in the design and engineering of distributed systems on cloud-oriented technologies. prereq: INET 4031 and 4707 or consent of instructor.
INET 4193 - Directed Study
Credits: 1.0 -4.0 [max 12.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Independent project. Topic arranged with and supervised by ITI faculty. prereq: ITI student, dept consent
INET 4596 - Internship
Credits: 1.0 -3.0 [max 6.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Hands-on work experiences in a professional IT setting. Students apply coursework, contribute to knowledge of best practices, and participate in career development. prereq: [ITI major or certificate student], [jr or sr], dept consent
INET 4007 - Security II: Cyber Security
Credits: 4.0 [max 4.0]
Grading Basis: A-F only
Typically offered: Every Fall
An exploration of information security, how it applies to current networking technologies, and ways these technologies are used and consumed. New authentication methods for securing user data, such as telemetry, biometrics, and N factor authentication, will be surveyed. The course will also look at recent instances of information breaches that have put a spotlight on security, especially as they relate to cloud services, virtual environments, and Internet standards. No prerequisites. Basic knowledge of security issues and processes (detection, risk assessment, technology, secure design, business continuity, forensics, and legal aspects) is recommended. If you have taken INet 4165, you will be well prepared. If you are unsure about whether your knowledge is sufficient for success in this class, contact the instructor.
INET 4011 - Networking I: Network Administration
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
A combination of networking theory (lecture and expert guest speakers) and application (lab work). Topics include network architecture, switching, routing, algorithms, protocols, infrastructure hardware, cable plant, security, and network management. prereq: CSCI 4211-Introduction to Computer Networks or equivalent networking knowledge and understanding.
INET 4021 - Dev Ops I: Network Programming
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Network and distributed programming concepts. Design using C, Java, and other higher-level programming languages. Sockets, TCP/IP, RPC, streaming, CORBA, .NET, and SOAP. Labs use UNIX/Linux and MS Windows operating systems. prereq: major admission requirements completed.
INET 4032 - Systems I: Storage
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Information is one of the most valuable commodities of the 21st century. This course deals with the proper care and handling of enterprise data, whether the “enterprise” is a large multinational corporation, a family home, or something in between. Topics include storage network architecture and storage system design. We will examine data storage technology; local, network, and distributed storage; storage history; data protection policy and implementation (including redundancy, replication, backup, and archive storage); security; compression and encryption; and emerging technologies like Big Data, Cloud storage, AWS, Google, and vCloud Air. prereq: Fundamental understanding of an operating system such as Microsoft Windows, Linux, or Apple OSX, in the areas of file systems, I/O, computer architecture, and basic administration.
INET 4041 - Networking II: Emerging Technologies
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Emerging networking concepts, technologies, and applications. Topics will evolve to reflect current trends and expertise of the faculty, such as high speed networking, ATM, network security, wireless networks, multimedia, and electronic commerce. Each technology is considered for the underlying theory; the driving technological and business needs; the applications; the competing alternative technologies; and the design, implementation, and configuration of such systems. Case studies may be used to identify and analyze strategic issues and problems. Concepts and tools from this and previous ITI courses are applied to solve these problems and design realistic programs of action. Hands-on labs are included when possible. Industry speakers, tours, and demonstrations show practical applications. prereq: CSci 4211 or equivalent, or professional experience, to comprise a basic understanding and knowledge of operating systems, computer architecture, and probability theory. Senior status preferred.
INET 4061 - Data Science I: Fundamentals
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Introduction to data science. Design strategies for business analytics: statistics basics, core data mining models, dimensional model, data pipeline, visualization. Hands-on labs with in-memory analytics, relational database, and statistics software. prereq: [4707 or CSCI 4707 or instr consent], laptop
INET 4083 - Systems II: Analysis and Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Requirements management, analysis, and design of computer system solutions targeting business objectives. System development life cycle. Development methodologies. Analysis/design tools/techniques; communication strategies. System architecture as business strategy. Prereq: INet 4082 or equivalent project management experience
INET 4121 - DevOps II: Development Strategies
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
DevOps (Development and Operations) is the term used to describe the collaboration of software engineers with the quality assurance and operations teams who test, deploy, and operate new systems. Its goal is to generate better and more continuous feedback regarding what is being developed, consumed, and operated, in order to increase delivery and deployment speed while maintaining system stability. Topics include configuration management, application deployment, monitoring of application and infrastructure performance, version control, and testing and building systems. Professional software engineering tools for the continuous integration tool chain are surveyed, and the Python language, combined with operating system and web functions, is used to develop tools for automating DevOps practices. (Though assignments are in Python, students with only Java or C++ should be able to learn Python quickly.) prereqs: CSCI 4061 or operating system knowledge, basic knowledge of Python
INET 4165 - Security I: Principles
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
An in-depth look at the information security profession. Focuses on real-world IT security issues and processes rather than any particular technology or product solution. Topics include risk assessments/pen testing, ethics, malicious code, preservation of business continuity/disaster recovery, security policies and procedures, security awareness, encryption, privacy and legal issues, intruder detection, forensics, secure web design, incident response, vulnerability assessment, and security audits. prereq: CSCI 4061 or equiv experience with operating systems
INET 4709 - Data Management I: Fundamentals
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
This course provides insight into concepts and techniques for installing and managing highly scalable relational databases: storage, protection, structure, tuning, and access. Students will learn how to integrate business requirements into specific database policies and procedures. Topics include selection of hardware and software components, backup and disaster recovery, performance metrics, high availability, and monitoring techniques. Hands-on lab exercises will utilize core concepts covered in lecture: installation of MySQL, backup and recovery, import and export, security, transaction management, data partitioning, and database replication. prereq: INet/CSci 4707 and CSci 4061, or professional experience with SQL and basic operating systems.
INET 4710 - Data Science II: Big Data Analytics
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Scales machine learning models and data analysis to a Big Data platform. Map Reduce and Spark frameworks are introduced as approaches to parallel algorithm development. Hands-on labs. Prerequisites: Basic programming knowledge (Java, Python, R). Linear algebra strongly recommended, especially matrix operations (e.g., MATH 2243, Linear Algebra and Differential Equations)
INET 4711 - Data Management II: Distributed Systems
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Introduction to distributed programming and systems concepts in high-scale environments with a focus on application to commercial systems in the data center. Discussion of key protocols and algorithms as well as best-practice implementations on platforms commonly associated with big data in the enterprise. Hands-on experience in the design and engineering of distributed systems on cloud-oriented technologies. prereq: INET 4031 and 4707 or consent of instructor.
INET 4193 - Directed Study
Credits: 1.0 -4.0 [max 12.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Independent project. Topic arranged with and supervised by ITI faculty. prereq: ITI student, dept consent
INET 4596 - Internship
Credits: 1.0 -3.0 [max 6.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Hands-on work experiences in a professional IT setting. Students apply coursework, contribute to knowledge of best practices, and participate in career development. prereq: [ITI major or certificate student], [jr or sr], dept consent