Campuses:
Twin Cities Campus
Computer Science B.A.Computer Science and Engineering
College of Liberal Arts
Computer science concerns the study of the hardware, software, and theoretical aspects of highspeed computing devices and the application of these devices to a broad spectrum of scientific, technological, and business problems. The curriculum gives students a basic understanding of computer science. After completing a required set of fundamental courses, students can arrange their subsequent work around one of several emphases within computer science. The program prepares students for a variety of industrial, governmental, and business positions involving the use of computers, or for graduate work in the field.
The Computer Science B.A. is a good fit for someone who wants to learn Computer Science + X. It allows room to explore another area of study when compared the technical course heavy Computer Science BS program. The B.A. includes a richer set of elective credits than the B.S. For application areas that involve the liberal arts, this broader background may be more appropriate. The B.A. may also be a more efficient option for students pursuing a double major or a large minor to stay on track for a fouryear graduation.
Program Delivery
This program is available:
Admission Requirements
Students must complete
5 courses
before admission to the program.
Freshman and transfer students are usually admitted to premajor status
before admission to this major.
A GPA above 2.0 is preferred for the following:
A 3.2 technical GPA or above will guarantee admission. Students applying to the major with below a 3.2 technical GPA will be considered for admission based on space available in the program. Information on the Technical GPA can be found z.umn.edu/techgpa
For information about University of Minnesota admission requirements, visit the
Office of Admissions
website.
Required prerequisites
Mathematics Core
Take 3 or more course(s) totaling 12 or more credit(s) from the following:
·
MATH 1271  Calculus I
[MATH]
(4.0 cr)
or
MATH 1371  CSE Calculus I
[MATH]
(4.0 cr)
or
MATH 1571H  Honors Calculus I
[MATH]
(4.0 cr)
·
MATH 1272  Calculus II
(4.0 cr)
or
MATH 1372  CSE Calculus II
(4.0 cr)
or
MATH 1572H  Honors Calculus II
(4.0 cr)
CSCI 2011  Discrete Structures of Computer Science
(4.0 cr)
or
CSCI 2011H  Honors Discrete Structures of Computer Science
(4.0 cr)
or
Acceptable Substitution Combination
MATH 3283W  Sequences, Series, and Foundations: Writing Intensive
[WI]
(4.0 cr)
MATH 4707  Introduction to Combinatorics and Graph Theory
(4.0 cr)
Required prerequisites
Computer Science Foundation Courses
Take exactly 2 course(s) totaling exactly 8 credit(s) from the following:
Option 1 (Preferred)
Students who intend to major in Computer Science should complete this sequence.
CSCI 1133  Introduction to Computing and Programming Concepts
(4.0 cr)
or
CSCI 1133H  Honors Introduction to Computing and Programming Concepts
(4.0 cr)
CSCI 1933  Introduction to Algorithms and Data Structures
(4.0 cr)
or
CSCI 1933H  Honors Introduction to Algorithms and Data Structures
(4.0 cr)
or
Option 2
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)
CSCI 1913  Introduction to Algorithms, Data Structures, and Program Development
(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 Universitywide 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
Students are required to complete 4 semester(s) of
any second language.
with a grade of C, or better, or S, or demonstrate proficiency in the language(s) as defined by the department
or college.
All CLA BA degrees require 18 upperdivision (3xxxlevel or higher) credits outside the major designator. These credits must be taken in designators different from the major designator and cannot include courses that are crosslisted with the major designator. The major designator for the Computer Science BA is CSCI.
At least 12 upperdivision credits in the major must be taken at the University of Minnesota Twin Cities campus.
Students may complete no more than one degree in the computer science program: a BA or a BS or a minor.
All incoming CLA freshmen must complete the FirstYear Experience course sequence.
All students must complete a capstone in at least one CLA major. The requirements for double majors completing the capstone in a different CLA major will be clearly stated. Students must also complete all major requirements in both majors to allow the additional capstone to be waived. Student completing an addition degree must complete the capstone in each degree area.
Core Courses
Take 6 or more course(s) totaling 23 or more credit(s) from the following:
Statistics
·
STAT 3021  Introduction to Probability and Statistics
(3.0 cr)
or
IE 3521  Statistics, Quality, and Reliability
(4.0 cr)
or
EE 3025  Statistical Methods in Electrical and Computer Engineering
(3.0 cr)
or
STAT 4101  Theory of Statistics I
(4.0 cr)
or
STAT 4102  Theory of Statistics II
(4.0 cr)
or
STAT 5101  Theory of Statistics I
(4.0 cr)
or
STAT 5102  Theory of Statistics II
(4.0 cr)
or
MATH 4653  Elementary Probability
(4.0 cr)
or
MATH 5651  Basic Theory of Probability and Statistics
(4.0 cr)
or
Acceptable Substitution Combination
STAT 3011  Introduction to Statistical Analysis
[MATH]
(4.0 cr)
STAT 3022  Data Analysis
(4.0 cr)
·
Linear Algebra
·
CSCI 2033  Elementary Computational Linear Algebra
(4.0 cr)
or
MATH 2142  Elementary Linear Algebra
(4.0 cr)
or
Acceptable Substitution Combination
MATH 4242  Applied Linear Algebra
(4.0 cr)
MATH 2243  Linear Algebra and Differential Equations
(4.0 cr)
or
MATH 2373  CSE Linear Algebra and Differential Equations
(4.0 cr)
or
MATH 2471  UM Talented Youth Mathematics ProgramCalculus II, Second Semester
[MATH]
(2.0 cr)
or
MATH 2574H  Honors Calculus IV
(4.0 cr)
or
Acceptable Honors Substitution Combination
MATH 3592H  Honors Mathematics I
(5.0 cr)
MATH 3593H  Honors Mathematics II
(5.0 cr)
·
Computer Architecture
·
CSCI 2021  Machine Architecture and Organization
(4.0 cr)
or
EE 2361  Introduction to Microcontrollers
(4.0 cr)
·
Advanced Programming Principles
·
CSCI 2041  Advanced Programming Principles
(4.0 cr)
·
Algorithms and Data Structures
·
CSCI 4041  Algorithms and Data Structures
(4.0 cr)
·
Operating Systems
·
CSCI 4061  Introduction to Operating Systems
(4.0 cr)
Electives
Take 8 or more credit(s) from the following:
·
CSCI 4011  Formal Languages and Automata Theory
(4.0 cr)
·
CSCI 4131  Internet Programming
(3.0 cr)
·
CSCI 4271W  Development of Secure Software Systems
[WI]
(4.0 cr)
·
CSCI 4611  Programming Interactive Computer Graphics and Games
(3.0 cr)
·
CSCI 4950  Senior Software Project
(3.0 cr)
·
CSCI 5103  Operating Systems
(3.0 cr)
·
CSCI 5105  Introduction to Distributed Systems
(3.0 cr)
·
CSCI 5106  Programming Languages
(3.0 cr)
·
CSCI 5115  User Interface Design, Implementation and Evaluation
(3.0 cr)
·
CSCI 5117  Developing the Interactive Web
(3.0 cr)
·
CSCI 5123  Recommender Systems
(3.0 cr)
·
CSCI 5125  Collaborative and Social Computing
(3.0 cr)
·
CSCI 5127W  Embodied Computing: Design & Prototyping
[WI]
(3.0 cr)
·
CSCI 5143  RealTime and Embedded Systems
(3.0 cr)
·
CSCI 5161  Introduction to Compilers
(3.0 cr)
·
CSCI 5221  Foundations of Advanced Networking
(3.0 cr)
·
CSCI 5271  Introduction to Computer Security
(3.0 cr)
·
CSCI 5302  Analysis of Numerical Algorithms
(3.0 cr)
·
CSCI 5304  Computational Aspects of Matrix Theory
(3.0 cr)
·
CSCI 5421  Advanced Algorithms and Data Structures
(3.0 cr)
·
CSCI 5451  Introduction to Parallel Computing: Architectures, Algorithms, and Programming
(3.0 cr)
·
CSCI 5461  Functional Genomics, Systems Biology, and Bioinformatics
(3.0 cr)
·
CSCI 5471  Modern Cryptography
(3.0 cr)
·
CSCI 5481  Computational Techniques for Genomics
(3.0 cr)
·
CSCI 5512  Artificial Intelligence II
(3.0 cr)
·
CSCI 5521  Machine Learning Fundamentals
(3.0 cr)
·
CSCI 5523  Introduction to Data Mining
(3.0 cr)
·
CSCI 5525  Machine Learning: Analysis and Methods
(3.0 cr)
·
CSCI 5541  Natural Language Processing
(3.0 cr)
·
CSCI 5551  Introduction to Intelligent Robotic Systems
(3.0 cr)
·
CSCI 5552  Sensing and Estimation in Robotics
(3.0 cr)
·
CSCI 5561  Computer Vision
(3.0 cr)
·
CSCI 5563  Multiview 3D Geometry in Computer Vision
(3.0 cr)
·
CSCI 5607  Fundamentals of Computer Graphics 1
(3.0 cr)
·
CSCI 5608  Fundamentals of Computer Graphics II
(3.0 cr)
·
CSCI 5609  Visualization
(3.0 cr)
·
CSCI 5611  Animation & Planning in Games
(3.0 cr)
·
CSCI 5619  Virtual Reality and 3D Interaction
(3.0 cr)
·
CSCI 5708  Architecture and Implementation of Database Management Systems
(3.0 cr)
·
CSCI 5715  From GPS, Google Maps, and Uber to Spatial Data Science
(3.0 cr)
·
CSCI 5751  Big Data Engineering and Architecture
(3.0 cr)
·
CSCI 5801  Software Engineering I
(3.0 cr)
·
CSCI 5802  Software Engineering II
(3.0 cr)
·
CSCI 4203  Computer Architecture
(4.0 cr)
or
EE 4363  Computer Architecture and Machine Organization
(4.0 cr)
·
CSCI 4211  Introduction to Computer Networks
(3.0 cr)
or
CSCI 5211  Data Communications and Computer Networks
(3.0 cr)
·
CSCI 4511W  Introduction to Artificial Intelligence
[WI]
(4.0 cr)
or
CSCI 5511  Artificial Intelligence I
(3.0 cr)
·
CSCI 4707  Practice of Database Systems
(3.0 cr)
or
CSCI 5707  Principles of Database Systems
(3.0 cr)
·
CSCI 4921  History of Computing
[TS, HIS]
(3.0 cr)
or
HSCI 4321  History of Computing
[TS, HIS]
(3.0 cr)
·
CSCI 5204  Advanced Computer Architecture
(3.0 cr)
or
EE 5364  Advanced Computer Architecture
(3.0 cr)
·
Advanced Project Laboratory, Topics, and Directed Study
Take at most 3 credit(s) from the following:
·
CSCI 4970W  Advanced Project Laboratory
[WI]
(3.0 cr)
·
CSCI 5980  Special Topics in Computer Science
(1.03.0 cr)
·
CSCI 5991  Independent Study
(1.03.0 cr)
·
CSCI 5994  Directed Research
(1.03.0 cr)
Capstone
Students who double major within CLA and choose to complete the capstone requirement in their other major are still required to take the Computer Science BA capstone.
Take exactly 1 course(s) totaling exactly 4 credit(s) from the following:
·
CSCI 3081W  Program Design and Development
[WI]
(4.0 cr)
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 major requirements.
Take 0  1 course(s) from the following:
·
CSCI 3081W  Program Design and Development
[WI]
(4.0 cr)
·
CSCI 3921W  Social, Legal, and Ethical Issues in Computing
[CIV, WI]
(3.0 cr)
·
CSCI 4271W  Development of Secure Software Systems
[WI]
(4.0 cr)
·
CSCI 4511W  Introduction to Artificial Intelligence
[WI]
(4.0 cr)
·
CSCI 4970W  Advanced Project Laboratory
[WI]
(3.0 cr)
·
CSCI 5127W  Embodied Computing: Design & Prototyping
[WI]
(3.0 cr)
Program Subplans
A subplan is not required for this program.
Integrated Computer Science B.A./M.S. Program
The Department of Computer Science & Engineering offers an integrated Bachelor’s and Master’s Degree program. Students accepted to the integrated program will be guaranteed admission to the Computer Science MS as long as they complete their undergraduate program. Accepted students will not need to take the GRE exam as part of their graduate application, unlike other students applying to our graduate programs. Applicants must be enrolled University of Minnesota Twin Cities students admitted to a Computer Science or Computer Engineering undergraduate program. Applicants must meet a Technical GPA minimum of 3.5 (as defined by the College of Science & Engineering) or they must have a strong recommendation from a Computer Science and Engineering faculty member or instructor (not an ECE Faculty member). Applicants must have at least 75 credits completed at the time of their application. Applicants must have passed with a C or better all of the following courses: CSCI 1933 or 1913 CSCI 2011 CSCI 2021 (CSCI students) or EE 2361 (CompE students) CSCI 2033 or a math course containing linear algebra content CSCI 2041 (CSCI students only) CSCI 3081W (CSCI students only), CSCI 4041, and CSCI 4061 (applicants can have one of these courses in progress at the time of application) Full application instructions can be found at cs.umn.edu/integrated
Students can transfer a maximum of 16 credits to the graduate program taken during their integrated senior undergraduate year. Students must spend a minimum of two semesters as a graduate student after the completion of their undergraduate degree. Coursework applied to the graduate degree must be taken at the graduate level (i.e., 5xxx or above) Credits being applied to the Computer Science Master’s taken while the student is an undergraduate for use in the integrated program can also be applied later to a Computer Science Ph.D. within our department if a student applies and is admitted. Credits cannot also be applied to the undergraduate degree (i.e., no “double dipping”). Students should consider taking the following courses/requirements to apply toward their graduate degree as an undergraduate integrated program student (16 credits max):
CSCI 8970  Computer Science Colloquium (1 credit)
Course to meet the Theory and Algorithms Breadth requirement (3 credits)*
Course to meet the Architecture, Systems, & Software Breadth requirement (3 credits)*
Course to meet the Applications Breadth requirement (3 credits)*
CSCI 5XXX level course that fits your interests and background (3 credits) or an approved graduate level elective or graduate minor course. We recommend waiting to take CSCI 8XXX level courses for your graduate year, but this level of coursework is still available to you if you have the appropriate prerequisites.
CSCI 5XXX level course that fits your interests and background (3 credits) or an approved graduate level elective or graduate minor course. We recommend waiting to take CSCI 8XXX level courses for your graduate year, but this level of coursework is still available to you if you have the appropriate prerequisites.
*Please refer to the Department of Computer Science & Engineering webpage for more details on which courses count for specific breadth requirements.


Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 1271/Math 1281/Math 1371/ 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 1271/Math 1281/Math 1371/ 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 1271/Math 1281/Math 1371/ 
Grading Basis:  AF only 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 1272/Math 1282/Math 1372/ 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 1272/Math 1282/Math 1372/ 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 1272/Math 1282/Math 1372/ 
Grading Basis:  AF only 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 2011/CSci 2011H 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 2011/CSci 2011H 
Grading Basis:  AF only 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 2283/3283W 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 1133/CSci 1133H 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 1133/CSci 1133H 
Grading Basis:  AF only 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 1902/CSci 1933/CSci 1933H 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 1902/CSci 1933/CSci 1933H 
Grading Basis:  AF only 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall, Spring & Summer 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall, Spring & Summer 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 5651/Stat 5101 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  AnSc 3011/ESPM 3012/Stat 3011/ 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 1.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 4242/Math 4457 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 2243/Math 2373/Math 2574H 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 2243/Math 2373/Math 2574H 
Typically offered:  Every Fall & Spring 
Credits:  2.0 [max 4.0] 
Course Equivalencies:  Math 2243/Math 2373/Math 2574H 
Grading Basis:  AF or Aud 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  Math 2243/Math 2373/Math 2574H 
Grading Basis:  AF only 
Typically offered:  Every Spring 
Credits:  5.0 [max 5.0] 
Grading Basis:  AF only 
Typically offered:  Every Fall 
Credits:  5.0 [max 5.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 4041/CSci 4041H 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 4061/INet 4001 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 4131/CSci 5131 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Spring 
Credits:  3.0 [max 6.0] 
Grading Basis:  AF only 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Typically offered:  Periodic Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Typically offered:  Spring Even Year 
Credits:  3.0 [max 3.0] 
Typically offered:  Fall Odd Year 
Credits:  3.0 [max 3.0] 
Typically offered:  Spring Even Year 
Credits:  3.0 [max 3.0] 
Typically offered:  Fall Even Year 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF only 
Typically offered:  Periodic Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Spring Even Year 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Periodic Fall & Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 5512W/CSci 5512 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Periodic Fall 
Credits:  3.0 [max 3.0] 
Typically offered:  Periodic Fall & Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Fall Even Year 
Credits:  3.0 [max 3.0] 
Typically offered:  Periodic Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Periodic Fall 
Credits:  3.0 [max 3.0] 
Typically offered:  Periodic Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Typically offered:  Periodic Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Fall Even Year 
Credits:  3.0 [max 3.0] 
Typically offered:  Fall Odd Year 
Credits:  3.0 [max 3.0] 
Typically offered:  Spring Odd Year 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Spring Even Year 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Prerequisites:  2041 or # 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Typically offered:  Periodic Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 4203/EE 4363 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 4203/EE 4363 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 4211/CSci 5211/INET 4002 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 4211/CSci 5211/INET 4002 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 4511W/CSci 5511 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 4511W/CSci 5511 
Prerequisites:  [2041 or #], grad student 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 4707/CSci 5707/INET 4707 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 4707/CSci 5707/INET 4707 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 4921/HSci 4321 
Typically offered:  Fall Even Year 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 4921/HSci 4321 
Typically offered:  Fall Even, Spring Odd Year 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 5204/EE 5364 
Typically offered:  Every Fall 
Credits:  3.0 [max 3.0] 
Course Equivalencies:  CSci 5204/EE 5364 
Typically offered:  Every Fall 
Credits:  3.0 [max 9.0] 
Typically offered:  Every Fall & Spring 
Credits:  1.0 3.0 [max 27.0] 
Typically offered:  Periodic Fall & Spring 
Credits:  1.0 3.0 [max 9.0] 
Typically offered:  Every Fall, Spring & Summer 
Credits:  1.0 3.0 [max 9.0] 
Typically offered:  Every Fall, Spring & Summer 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 3081W/CSci 4018W/CSci4089 
Typically offered:  Every Fall & Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 3081W/CSci 4018W/CSci4089 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Every Fall 
Credits:  4.0 [max 4.0] 
Grading Basis:  AF or Aud 
Typically offered:  Every Spring 
Credits:  4.0 [max 4.0] 
Course Equivalencies:  CSci 4511W/CSci 5511 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 9.0] 
Typically offered:  Every Fall & Spring 
Credits:  3.0 [max 3.0] 
Typically offered:  Fall Even Year 