Duluth campus
 
Duluth Campus

Industrial Engineering B.S.I.E.

UMD Mechanical/Industrial Engineering
Swenson College of Science and Engineering
  • Program Type: Baccalaureate
  • Requirements for this program are current for Fall 2023
  • Required credits to graduate with this degree: 126 to 128
  • Required credits within the major: 120 to 122
  • Degree: Bachelor of Science in Industrial Engineering
The mission of the bachelor of science in industrial engineering program is to deliver a hands-on, laboratory-intensive undergraduate education that provides students with the tools and skills to excel in the profession as they pursue lifelong learning and make positive contributions to society. The program emphasizes integrated systems and offers unique opportunities for undergraduate research. The educational objectives of the industrial engineering program are to produce graduates who: 1. Solve industrial engineering problems by applying contemporary engineering tools to propose and implement effective solutions. 2. Design, develop, implement, and improve integrated systems that include people, materials, information, equipment, and energy. 3. Contribute as informed, ethical, and responsible members of the engineering profession and society as a whole. 4. Continue lifelong professional development throughout their careers. 5. Collaborate and communicate effectively with others as members or leaders of engineering or multidisciplinary teams in international settings. Industrial engineering integrates topics from manufacturing, management, service, and traditional design. Industrial engineers are proficient in the design, improvement, and management of complex systems of people, materials, equipment, and energy. They study and adapt product designs and the associated plant facilities to optimize production, while considering economic, technical, and human factors. The curriculum rounds out the learning experience by providing skills in the mathematical and physical sciences, economics, composition, and humanities and social sciences. The industrial engineering program is accredited by the Engineering Accreditation Commission of ABET, http://www.abet.org. The industrial engineering program emphasizes the overall perspective of people and productivity in any type of system, including manufacturing, service, health care, transportation, communication, and agriculture. Honors requirements: To graduate with department honors, a student must graduate with a 3.40 GPA, be an active member of Tau Beta Pi or a professional engineering society (ASME, ASSE, IIE, MSPE, SME or SWE), and be nominated by a department faculty member.
Program Delivery
This program is available:
  • via classroom (the majority of instruction is face-to-face)
Admission Requirements
Freshman and transfer students are usually admitted to pre-major status before admission to this major.
Applicants are admitted to the B.S.I.E. program on a space-available basis with priority determined by cumulative GPA.
For information about University of Minnesota admission requirements, visit the Office of Admissions website.
General Requirements
  1. Students must meet all course and credit requirements of the departments and colleges or schools in which they are enrolled including an advanced writing course. Students seeking two degrees must fulfill the requirements of both degrees. However, two degrees cannot be awarded for the same major.
  2. Students must complete all requirements of the Liberal Education Program or its approved equivalent.
  3. Students must complete a minimum of 120 semester credits completed in compliance with University of Minnesota Duluth academic policies with credit limits (e.g., Satisfactory/Non-Satisfactory Grading Policy, Credit for Prior Learning, etc).
  4. At least 30 semester credits must be earned through UMD, and 15 of the last 30 credits earned immediately before graduation must be awarded by UMD.
  5. At least half of upper-division (3xxx-level or higher) credits that satisfy major requirements (major requirements includes all courses required for the major, including courses in a subplan) through UMD.
  6. If a minor is required, students must take at least three upper division credits in their minor field from UMD.
  7. For certificate programs, at least 3 upper-division credits that satisfy requirements for the certificate must be taken through UMD. If the program does not require upper division credits students must take at least one course from the certificate program from UMD.
  8. The minimum cumulative University of Minnesota (UMN) GPA required for graduation is 2.00 and includes only University of Minnesota coursework. A minimum UMN GPA of 2.00 is required in each UMD undergraduate major, minor, and certificate. No academic unit may impose a higher GPA standard to graduate.
  9. Diploma, transcripts, licensure, and certification will be withheld until all financial obligations to the University have been met.
Program Requirements
1. A second field of study (e.g. minor, major, degree) is not required for this major. 2. Students must remain in good academic standing. BSIE students placed on academic probation will also be removed from BSIE status and will not be readmitted to BSIE until they achieve good academic standing with the University. Students must complete a minimum of 32 credits of math and science courses. The mechanical engineering curriculum uses the math and science required courses, listed below, to meet this requirement. Courses transferred from other institutions may transfer with fewer credits than the UMD equivalent(s). In this case, to reach the 32 credit minimum, additional coursework within the approved subjects of BIOL, CHEM, EES, MATH, PHYS, and STAT at the 1xxx - 4xxx level, can be applied to satisfy this credit difference.
Advanced Writing (3 cr)
WRIT 3130 is preferred
WRIT 3130 - Advanced Writing: Engineering (3.0 cr)
or WRIT 3150 - Advanced Writing: Science (3.0 cr)
or WRIT 3180 - Honors: Advanced Writing (3.0 cr)
Chemistry, Mathematics and Physics (32 cr)
Students who transfer courses with fewer credits than the UMD equivalent(s) must complete an additional approved mathematics or science credits as noted above.
General Chemistry I with lab
CHEM 1153 - General Chemistry I [LE CAT, NAT SCI] (4.0 cr)
CHEM 1154 - General Chemistry Lab I [LE CAT, NAT SCI] (1.0 cr)
Calculus I and II
MATH 1296 - Calculus I [LE CAT, LOGIC & QR] (5.0 cr)
MATH 1297 - Calculus II [LOGIC & QR] (5.0 cr)
Mathematics and Statistic
MATH 3280 - Differential Equations with Linear Algebra (4.0 cr)
STAT 3411 - Engineering Statistics (3.0 cr)
Physics I course
PHYS 2013 - General Physics I [LE CAT, NAT SCI] (4.0 cr)
or PHYS 2017 - Honors: General Physics I [NAT SCI] (4.0 cr)
Physics I lab
PHYS 2014 - General Physics Lab I [NAT SCI] (1.0 cr)
Physics II course
PHYS 2015 - General Physics II (4.0 cr)
or PHYS 2018 - Honors General Physics II (4.0 cr)
Physics II lab
PHYS 2016 - General Physics Lab II (1.0 cr)
Engineering (26 - 28 cr)
Engineering Fundamentals
EE 2006 - Electrical Circuit Analysis (4.0 cr)
ENGR 1210 - Introduction to Engineering (2.0 cr)
ME 2226 - Dynamics (3.0 cr)
Writing
WRIT 1120 - College Writing [LE CAT, WRITING] (3.0 cr)
Engineering
CE 2015 - Engineering Statics (3.0 cr)
CE 2016 - Engineering Mechanics of Materials (3.0 cr)
ENGR 1222 - Introduction to Solid Modeling (2.0 cr)
ME 2105 - Introduction to Material Science for Engineers (3.0 cr)
Computer Science
CS 1121 - Introduction to Programming in Visual BASIC.NET [LE CAT, LOGIC & QR] (3.0 cr)
or CS 1151 - Introduction to Programming in Python (3.0 cr)
or CS 1411 - Introduction to Programming in Matlab (4.0 cr)
or CS 1511 - Computer Science I [LE CAT] (5.0 cr)
B.S.I.E. Core and Engineering Courses (38 cr)
Required courses include fundamental material in civil engineering, electrical engineering, engineering management, engineering science, industrial engineering, and mechanical engineering. Concepts are delivered in lecture and reinforced in lab experiences.
Level I Core
IE 3122 - Materials Engineering Laboratory (2.0 cr)
IE 3125 - Engineering Economic Analysis [SOC SCI] (3.0 cr)
IE 3130 - Materials Processing Engineering (3.0 cr)
IE 3140 - Human Factors and Ergonomic Design (3.0 cr)
Level 2 Core
EMGT 4110 - Engineering Professionalism and Practice (2.0 cr)
IE 3115 - Operations Research (4.0 cr)
IE 3222 - Occupational Systems Laboratory (2.0 cr)
IE 4010 - Six Sigma Quality Control (3.0 cr)
IE 4020 - Lean Production Management (3.0 cr)
Level 3 Core
IE 4115 - Facility Planning and Simulation (4.0 cr)
IE 4222 - Systems Integration Laboratory (2.0 cr)
IE 4230 - Systems Integration (3.0 cr)
IE 4255 - Multidisciplinary Senior Design (4.0 cr)
Industrial Engineering Electives (12 cr)
Take 4 or more course(s) totaling 12 or more credit(s) from the following:
· CHE 2111 - Material and Energy Balances (3.0 cr)
· CHE 2211 - Materials and Energy Balances (4.0 cr)
· CS 1121 - Introduction to Programming in Visual BASIC.NET [LE CAT, LOGIC & QR] (3.0 cr)
· CS 1151 - Introduction to Programming in Python (3.0 cr)
· CS 1411 - Introduction to Programming in Matlab (4.0 cr)
· CS 1511 - Computer Science I [LE CAT] (5.0 cr)
· CS 1521 - Computer Science II (5.0 cr)
· EE 1315 - Digital Logic (4.0 cr)
· EE 2111 - Linear Systems and Signal Analysis (4.0 cr)
· EE 2212 - Electronics I (4.0 cr)
· EE 2325 - Microprocessor Systems (4.0 cr)
· EE 3151 - Control Systems (4.0 cr)
· IE 4196 - Cooperative Education I (1.0 cr)
· IE 4197 - Industrial Engineering Internship (1.0 cr)
· IE 4296 - Cooperative Education II (2.0 cr)
· IE 4297 - Industrial Engineering Internship (2.0 cr)
· IE 4491 - Independent Study (1.0-4.0 cr)
· IE 4495 - Special Topics: (Various Titles to be Assigned) (1.0-4.0 cr)
· IE 4993 - Industrial Engineering Seminar (1.0 cr)
· IE 5305 - Supply Chain Management (3.0 cr)
· IE 5325 - Advanced Engineering Economics (3.0 cr)
· IE 5335 - Engineered Products and Services (3.0 cr)
· IE 5345 - Life Cycle Assessment (3.0 cr)
· IE 5355 - Data-Driven Engineering: Using Data Analytics for Engineering Design and Decision Making (3.0 cr)
· IE 5365 - Machine Learning Applications in System Dynamics and Control (3.0 cr)
· IE 5991 - Independent Study in Industrial Engineering (1.0-4.0 cr)
· MATH 3298 - Calculus III (4.0 cr)
· MATH 3355 - Discrete Mathematics (4.0 cr)
· ME 2211 - Thermodynamics [SUSTAIN] (3.0 cr)
· ME 3010 - Fundamentals of Machining and Manufacturing (3.0 cr)
· ME 3140 - System Dynamics and Control (3.0 cr)
· ME 4050 - Fundamentals of Nuclear Engineering (3.0 cr)
· ME 4060 - Machine Vision and Image Based Robot Control (3.0 cr)
· ME 4135 - Robotics and Controls (3.0 cr)
· ME 4145 - CAD/CAM (4.0 cr)
· ME 4175 - Machine Design (3.0 cr)
· ME 4365 - Global Sustainability Experience in Design/Manufacturing in Africa (3.0 cr)
· ME 4495 - Special Topics: (Various Titles to be Assigned) (1.0-4.0 cr)
· ME 5101 - Design and Manufacturing of Composite Materials (3.0 cr)
· ME 5120 - Advanced Dynamics and Control (3.0 cr)
· ME 5315 - Nondestructive Evaluation of Engineering Materials (3.0 cr)
· ME 5325 - Sustainable Energy System (3.0 cr)
· ME 5365 - Introduction to Medical Device Development (3.0 cr)
· MGTS 4472 - Entrepreneurship (3.0 cr)
· STAT 5411 - Analysis of Variance (3.0 cr)
· STAT 4511 - Regression Analysis (3.0 cr)
· ME 3111 - Fluid Mechanics (3.0 cr)
or CHE 3111 - Fluid Mechanics (3.0 cr)
Courses From Other Programs (9 cr)
These courses help engineers develop a foundation of economics and communication skills. Students entering the program as transfer students must complete each of these courses at UMD if the direct equivalent for each course did not transfer in from another institution.
Business
ACCT 2001 - Principles of Financial Accounting (3.0 cr)
or BLAW 2001 - The Legal Environment [LE CAT8, HUMANITIES] (3.0 cr)
or MGTS 1101 - Introduction to Business [LE CAT8] (3.0 cr)
or MKTG 3701 - Principles of Marketing (3.0 cr)
Communication
COMM 1112 - Public Speaking [LE CAT, COMM & LAN] (3.0 cr)
or COMM 1222 - Interpersonal Communication [LE CAT, LECD C, COMM & LAN] (3.0 cr)
Economics
ECON 1022 - Principles of Economics: Macro [LE CAT, SOC SCI] (3.0 cr)
or ECON 1023 - Principles of Economics: Micro [LE CAT, SOC SCI] (3.0 cr)
 
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· Swenson College of Science and Engineering

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· Industrial Engineering B.S.I.E Sample Plan

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· Industrial Engineering B.S.I.E.
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WRIT 3130 - Advanced Writing: Engineering
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Study of writing for those invested in the disciplines of engineering or computer science. Exploration of academic and professional rhetorical situations. Practice with research methods, document design, editing, effective collaboration, and ethical issues in the production of documents in multiple genres for multiple audiences. pre-req: 1) WRIT 1120 or MNTC or AA completed 2) minimum 60 credits earned or in progress
WRIT 3150 - Advanced Writing: Science
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Study of writing for those invested in the disciplines of mathematics and life and physical sciences. Exploration of academic and professional rhetorical situations. Practice with research methods, document design, editing, effective collaboration, and ethical issues in the production of documents in multiple genres for multiple audiences. prereq: 1) WRIT 1120 or MNTC or AA completed 2) minimum 60 credits earned or in progress
WRIT 3180 - Honors: Advanced Writing
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Periodic Fall & Spring
Study of writing for those currently enrolled in UMD?s Honors Program. Exploration of academic and professional rhetorical situations. Practice with research methods, document design, editing, effective collaboration, and ethical issues in the production of documents in multiple genres for multiple audiences. prereq: 1) WRIT 1120 or MNTC or AA completed 2) minimum of 60 credits earned or in progress 3) UMD honors student, or instructor consent
CHEM 1153 - General Chemistry I (LE CAT, NAT SCI)
Credits: 4.0 [max 4.0]
Course Equivalencies: CHEM 1173/CHEM 1153/CHEM 1161
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Fundamental principles of chemistry exemplified by study of elements, compounds, and their reactions. Covers fundamental concepts of the atom, molecule, stoichiometry, chemical reactions, thermochemistry, gas laws, atomic structure, periodic table, chemical bonding, and other selected topics. The companion laboratory, CHEM 1154, should be taken concurrently. The combination of CHEM 1153 and CHEM 1154 meets the lab component of NAT SCI, LE CAT 4. prereq: One year high school chem, Math ACT 24 or higher or a grade of least C- in Math 1005, Credit will not be granted if already received for 1151 or 1161 or 1173. Fall semester, SCSE majors only.
CHEM 1154 - General Chemistry Lab I (LE CAT, NAT SCI)
Credits: 1.0 [max 1.0]
Course Equivalencies: CHEM 1174/CHEM 1154
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Basic laboratory skills while investigating the fundamental principles of chemistry. Covers fundamental concepts of the atom and molecule, stoichiometry, acid-base reactions, oxidation-reduction reactions, thermochemistry, characteristic properties of anions, gas laws and spectrophotometry. This laboratory accompanies lecture CHEM 1153. The combination of CHEM 1153 and CHEM 1154 meets liberal education category 4 requirements. prereq: Previous or concurrent enrollment in CHEM 1153 or 1173; credit will not be granted if already received for CHEM 1151, 1161 or 1174.
MATH 1296 - Calculus I (LE CAT, LOGIC & QR)
Credits: 5.0 [max 5.0]
Course Equivalencies: Math1290/1296/1596
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
First part of a standard introduction to calculus of functions of a single variable. Limits, continuity, derivatives, integrals, and their applications. prereq: Math ACT 27 or higher or a grade of at least C- in Math 1250 or department consent
MATH 1297 - Calculus II (LOGIC & QR)
Credits: 5.0 [max 5.0]
Course Equivalencies: Math 1597/1297
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Second part of a standard introduction to calculus. Vectors, applications of integrals, transcendental functions, series, and multivariable functions and partial derivatives. prereq: A grade of at least C- in 1290 or 1296 or 1596
MATH 3280 - Differential Equations with Linear Algebra
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
First, second, and higher order equations; series methods; Laplace transforms; systems; software; modeling applications; introduction to vectors; matrix algebra, eigenvalues. prereq: A grade of at least C- in 1297 or 1597
STAT 3411 - Engineering Statistics
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Statistical considerations in data collection and experimentation. Descriptive statistics, least squares, elementary probability distributions, confidence intervals, significance tests, and analysis of variance as applied analysis of engineering data. prereq: MATH 1297 with a grade of C- or better, cannot be applied to a math or statistics major
PHYS 2013 - General Physics I (LE CAT, NAT SCI)
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Calculus-based introduction to Newtonian Mechanics, fluid mechanics, and heat. The companion laboratory, PHYS 2014 should be taken concurrently. The combination of PHYS 2013 and 2014 meets liberal education category 4. prereq: previous or concurrent registration in PHYS 2014. Prerequisite of Math 1290 or 1296 or 1596; credit will not be granted if already received for PHYS 2011.
PHYS 2017 - Honors: General Physics I (NAT SCI)
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Advanced coverage of General Physics topics that include Newtonian Mechanics, fluid mechanics, and heat. Mathematically and conceptually demanding problem solving techniques. The companion laboratory, PHYS 2014, should be taken concurrently. The combination of PHYS 2014 and PHYS 2017 meets liberal education natural science with lab. prereq: Previous or concurrent registration in PHYS 2014. Previous or concurrent registration in Math 1290 or Math 1296 or 1596, or physics major or instructor permission. Credit will not be granted if already received for PHYS PHYS 2011 or PHYS 2013.
PHYS 2014 - General Physics Lab I (NAT SCI)
Credits: 1.0 [max 1.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Calculus-based introduction to Newtonian Mechanics, fluid mechanics, and heat exemplified by laboratory study. This laboratory accompanies lecture PHYS 2013 and should be taken concurrently. The combination of PHYS 2013 and 2014 meets liberal education category 4. prereq: previous or concurrent enrollment in PHYS 2013 or 2017
PHYS 2015 - General Physics II
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Calculus-based introduction to electricity, magnetism and optics. The companion laboratory, PHYS 2016, should be taken concurrently. prereq: previous or concurrent registration in 2016. Prerequisite of 2011 or 2013 or 2017 and 2014, Math 1297 or 1597; credit will not be granted if already received for PHYS 2012.
PHYS 2018 - Honors General Physics II
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
Advanced coverage of calculus-based introduction to electricity magnetism and optics. Mathematically and conceptually demanding problem solving techniques. The companion laboratory, PHYS 2016 should be taken concurrently. Prerequisites: Previous or concurrent registration in PHYS 2016; PHYS 2013 or 2017; co-registration in or prior completion of Math 1287 or 1597 or instruction permission. Credit will not be granted if already received for PHYS 2012 or 2015.
PHYS 2016 - General Physics Lab II
Credits: 1.0 [max 1.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Calculus-based introduction to electricity, magnetism and optics exemplified by laboratory study. This laboratory accompanies lecture PHYS 2015 and should be taken concurrently. prereq: Previous or concurrently enrollment in PHYS 2015 or 2018.
EE 2006 - Electrical Circuit Analysis
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Basic circuit analysis: resistive circuits, voltage and current sources--independent and dependent. Nodal and mesh analysis. Network theorems. Energy storage elements. RC, RL, and RLC transient and steady state analysis, phasors. SPICE analysis. (3 hrs lect, 3 hrs lab) prereq: Phys 2015, and Math 3280 (Concurrent registration is allowed for both courses)
ENGR 1210 - Introduction to Engineering
Credits: 2.0 [max 2.0]
Course Equivalencies: Engr 1210/IE 1225
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
An introduction to the engineering profession with an emphasis on mechanical and industrial engineering. Topics include the roles and responsibilities of an engineer, the engineering disciplines, problem solving skills and tools, oral and written communication, teamwork, and the engineering design process.
ME 2226 - Dynamics
Credits: 3.0 [max 3.0]
Course Equivalencies: Engr 2026/ME 2226
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Review of particle dynamics. Mechancial systems and regid-body model. Kinematics and dynamics of plane systems. prereq: CE 2017 and Math 3280 (concurrent registration allowed)
WRIT 1120 - College Writing (LE CAT, WRITING)
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Instruction and practice in developing information literacy and skills in critical thinking, argumentation, revision, and documentation to prepare students for writing tasks they will encounter throughout college, work, and the rest of their lives. Course assignments present challenges designed to hone competence and confidence in making writing decisions for any audience, purpose, or genre. prereq: Students speaking English as a second language must have TOEFL iBT score of 80. Students who score below 80 should be directed to AEL.
CE 2015 - Engineering Statics
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
This course deals with rigid-body mechanics. Statics develops the equations of equilibrium for structures in equilibrium and applies them to the analysis of statically determinate framed structures, trusses, and machines. Specific subjects include the analysis of frictional forces and topics relating to the center of gravity and mass moments of inertia. pre-req: PHYS 2013, MATH 1297 (may be taken concurrently)
CE 2016 - Engineering Mechanics of Materials
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
This course deals with mechanics of deformable bodies. The mechanics of deformable bodies includes an introductory treatment of stress and strain at a point and their relationship in two dimensions. Other topics include axial loading, torsion, shear and bending moment diagrams, bending stresses, deflection of beams, and stress and strain transformations. pre-req: CE 2015
ENGR 1222 - Introduction to Solid Modeling
Credits: 2.0 [max 2.0]
Course Equivalencies: Engr 1222/IE 1225
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
An introduction to the use of modern solid modeling software. Generating 3D models and detailed 2D engineering drawings of parts, including proper geometric dimensioning and tolerancing. Modeling assemblies of 3D parts, and generating assembly drawings and exploded views. prereq: Engr 1210 (co-registration allowed)
ME 2105 - Introduction to Material Science for Engineers
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Structures and properties of engineering materials, emphasizing metals, composites, polymers, and ceramics. prereq: Chem 1151 or 1153 and 1154; credit will not be granted if previously given for Engr 2110 or IE 2105.
CS 1121 - Introduction to Programming in Visual BASIC.NET (LE CAT, LOGIC & QR)
Credits: 3.0 [max 3.0]
Course Equivalencies: FMIS 2225/CS 1121
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Introduction to programming in the modern Visual BASIC language. Projects are developed in a .NET environment using the Visual Studio. Includes GUI interface development and expert-driven Windows programming. Major topics include variables, datatype, arithmetic expressions, control structures, arrays and database file processing. For students with no prior programming experience. prereq: 1 yr high school algebra or instructor consent
CS 1151 - Introduction to Programming in Python
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
An introduction to programming in the Python language. Course will cover input/output, structured programming using statements, loops and functions, using data files and writing and calling built-in Python functions. pre-req: one year of high school math or instructor consent
CS 1411 - Introduction to Programming in Matlab
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
An introduction to programming in the Matlab language. Topics covered will include the creation of algorithms, function definition, basic programming statements, input and output, mathematical operations, matrix manipulation, and representing data. As time allows, additional coverage of plotting methods, data structures using cellular arrays and other advanced topics. prereq: one to two years of high school math or instructor consent
CS 1511 - Computer Science I (LE CAT)
Credits: 5.0 [max 5.0]
Course Equivalencies: CS 1511/1581
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
A comprehensive introduction to computer programming using the C++ language. The course covers program design, C++ programming basics, control structures, functions and parameter passing. Students write and implement programs with data structures (arrays), pointers and files. Object-oriented programming is also introduced, along with concepts of abstraction, ADTs, encapsulation and data hiding. prereq: 3 1/2 yrs high school math or instructor consent
IE 3122 - Materials Engineering Laboratory
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
ASTM standards for testing metals, polymer, ceramic, and composite materials. Measurement of material properties including: yield strength, tensile strength, stiffness, hardness, toughness, and hardenability. Traditional methods of processing materials including: punching, plastic injection molding, thermoforming, sand casting, sheet metal forming, extrusion, welding, polymer matrix composites vacuum bagging. Heat treatment and metallographic study of metals. Estimation of the effects processing techniques have on material properties using both analytical and empirical techniques. Use of Design of Experiments approach for estimation of process control factor effects and modeling of process quality characteristics. Detailed lab report writing and oral presentation of results. prereq: ENGR 1222, BSIE or BSME candidate, concurrent registration in 3130
IE 3125 - Engineering Economic Analysis (SOC SCI)
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Data analysis and methods for engineering decision making under risk; using time and value of money concepts; and using expectation principles for project selection. prereq: Statistics 3411 or 3611, engineering candidate or instructor consent
IE 3130 - Materials Processing Engineering
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
An introduction to common materials processes and material responses, including thermal and mechanical processing of metals, polymers and composite materials. prereq: Engr 2110 or ME 2105, Engr 2016 or CE 2017, Stat 3411 (concurrent registration is allowed)and BSIE or BSME or BSEP candidate
IE 3140 - Human Factors and Ergonomic Design
Credits: 3.0 [max 3.0]
Course Equivalencies: IE 3140/3105
Grading Basis: A-F only
Typically offered: Every Fall
Through the study of perception, cognition, and motor performance, explores human abilities and limitations as well as the external factors impacting them. To improve performance of a human-machine system, learn about tools for analyzing products, identifying design elements to augment abilities, and recognizing limitations. prereq: B.S.I.E. candidate or instructor consent
EMGT 4110 - Engineering Professionalism and Practice
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Fall & Spring
Professional responsibilities of engineers and expectations of industry and society. Ethics and law for engineers. Codes of ethics and professional engineering societies. Design, intellectual property, record keeping. Environmental and safety issues in design. Group processes, conflict management. Project management. prereq: WRIT 3130 or 3150 or 3180 and BSCE or BSChE or BSEE or BSIE or BSME or BSEP candidate within 2 semesters of graduation or instructor consent; no grad credit
IE 3115 - Operations Research
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
This course prepares students to formulate optimization models in the formats of linear programming, network programming, integer mixed linear programming, goal programming, multi objective programming and nonlinear programming models; understand the simplex algorithm and solve simple linear programming models by hand; implement complex models and solve them using computer software; and interpret and communicate final results. prereq: Math 3280, Stat 3411, BSIE candidate or instructor consent
IE 3222 - Occupational Systems Laboratory
Credits: 2.0 [max 2.0]
Grading Basis: A-F only
Typically offered: Every Spring
Using principles of human factors and production management, introduces methods for assessing and optimizing performance of occupational systems (i.e., workers, workplaces and tasks, and tools and equipment). These methods are applied in laboratory exercises to evaluate effects of workplace factors on various performance measures. prereq: 3140, must be taken after or concurrently with IE 4020 or instructor consent; credit will not be granted if already received for 3105, 3265
IE 4010 - Six Sigma Quality Control
Credits: 3.0 [max 3.0]
Course Equivalencies: IE 4010, 3255
Grading Basis: A-F only
Typically offered: Periodic Spring
Statistical quality control in manufacturing; modeling, process quality, control charts, process capability, acceptance sampling methods, Six Sigma, Design of Experiments, and Lean Enterprise. prereq: Che 2011 or Stat 3411 or 3611, engineering candidate, no grad credit
IE 4020 - Lean Production Management
Credits: 3.0 [max 3.0]
Course Equivalencies: CE 3026/IE 3265/IE4020
Grading Basis: A-F only
Typically offered: Every Spring
Develops management systems using lean methods: JIT, CMS, ERP, SCM, TQM, SMED, and Kaizen Techniques. Forecasting, aggregate planning, inventory management, and other facilities improvement techniques, including efficient scheduling of manufacturing and service systems. prereq: pre or co req: 3125 or Che 4501 or instructor consent, no grad credit
IE 4115 - Facility Planning and Simulation
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
Facility and process design and analysis using flow rates, design relationships, graphical aids, and computer simulation. prereq: 4010, 4020, BSIE candidate
IE 4222 - Systems Integration Laboratory
Credits: 2.0 [max 2.0]
Course Equivalencies: IE 4222, 4235
Grading Basis: A-F only
Typically offered: Every Fall
Design, programming, and implementation of part or all of an automated and integrated manufacturing, testing, packaging, or distribution system. prereq: must be taken after or concurrently with IE 4230 or department consent, no grad credit
IE 4230 - Systems Integration
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall
Study of the hardware and software aspects of many devices, subsystems, and computers used in modern automation, and their integration into automated manufacturing, packaging, and distribution systems. prereq: 4020 or ME 3140, ECE 2006, CS 1121 or CS 1131 or CS 1511 or CS 2121, BSIE candidate or instructor consent
IE 4255 - Multidisciplinary Senior Design
Credits: 4.0 [max 4.0]
Course Equivalencies: IE 4255/ ME 4255
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Capstone design course in industrial engineering. Project Management, problem definition, root cause analysis, baseline analysis, alternative solutions, analysis, reporting. Societal, economic, ethical, environmental, political considerations. Oral and written reports. Work is in teams focused on industrial, research, or competition-based projects. prereq: EMgt 4110, BSIE candidate, or instructor consent, no grad credit
CHE 2111 - Material and Energy Balances
Credits: 3.0 [max 3.0]
Course Equivalencies: CHE 2211/CHE 2111
Typically offered: Every Fall & Spring
Elementary principles of chemical processes, emphasizing material and energy balances. prereq: Chem 1151 or 1161 or 1153 and 1154, Math 1296 or 1596 minimum grade of C
CHE 2211 - Materials and Energy Balances
Credits: 4.0 [max 4.0]
Course Equivalencies: CHE 2211/CHE 2111
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Elementary principles of chemical processes, emphasizing material and energy balances and problem solving. pre-req: Minimum grade of C in the following courses CHEM 1151 or 1161 or (1153 & 1154) or (1173 & 1175) and MATH 1296 or 1596
CS 1121 - Introduction to Programming in Visual BASIC.NET (LE CAT, LOGIC & QR)
Credits: 3.0 [max 3.0]
Course Equivalencies: FMIS 2225/CS 1121
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Introduction to programming in the modern Visual BASIC language. Projects are developed in a .NET environment using the Visual Studio. Includes GUI interface development and expert-driven Windows programming. Major topics include variables, datatype, arithmetic expressions, control structures, arrays and database file processing. For students with no prior programming experience. prereq: 1 yr high school algebra or instructor consent
CS 1151 - Introduction to Programming in Python
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
An introduction to programming in the Python language. Course will cover input/output, structured programming using statements, loops and functions, using data files and writing and calling built-in Python functions. pre-req: one year of high school math or instructor consent
CS 1411 - Introduction to Programming in Matlab
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
An introduction to programming in the Matlab language. Topics covered will include the creation of algorithms, function definition, basic programming statements, input and output, mathematical operations, matrix manipulation, and representing data. As time allows, additional coverage of plotting methods, data structures using cellular arrays and other advanced topics. prereq: one to two years of high school math or instructor consent
CS 1511 - Computer Science I (LE CAT)
Credits: 5.0 [max 5.0]
Course Equivalencies: CS 1511/1581
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
A comprehensive introduction to computer programming using the C++ language. The course covers program design, C++ programming basics, control structures, functions and parameter passing. Students write and implement programs with data structures (arrays), pointers and files. Object-oriented programming is also introduced, along with concepts of abstraction, ADTs, encapsulation and data hiding. prereq: 3 1/2 yrs high school math or instructor consent
CS 1521 - Computer Science II
Credits: 5.0 [max 5.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Continuation of introduction to computer science. Methods for procedural and data abstraction. Focus on classical data structures, procedural and data abstraction, and the abstract data type. Introduction to software engineering technique. Algorithm analysis, principles of object-oriented programming issues in ethical use of computers. Requires implementation of significant programming projects. prereq: 1511 or 1581, a grade of C- or better is required in all prerequisite courses
EE 1315 - Digital Logic
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Binary number system and digital coding techniques. Boolean algebra, combinational logic circuits, and minimization techniques. Synchronous sequential circuits and state reduction techniques. Medium Scale Integration (MSI) combinational components. prereq: CE, ChE, CS, EE, IE, ME majors or instructor consent
EE 2111 - Linear Systems and Signal Analysis
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Signal and system modeling concepts, system analysis in time domain, Fourier series and Fourier transform. Discrete time domain signals and systems, Z transform, applications. (3 hrs lect, 3 hrs lab) prereq: 2006
EE 2212 - Electronics I
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Diodes, BJTs, FETs, ideal operational amplifiers, DC analysis, small signal models, and analysis; single-stage circuits design; power amplifiers. (3 hrs lect, 3 hrs lab) prereq: 2006
EE 2325 - Microprocessor Systems
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Microcomputer components. Instruction set, machine and assembly language programming. Addressing modes. Signed/unsigned arithmetic. Stack uses. Assembly-level translation of high-level language constructions. Input/Output interfacing. Interrupt programming. (3 hrs lect, 3 hrs lab) prereq: 1315
EE 3151 - Control Systems
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
System mathematical modeling: differential equations, Laplace transform, block diagrams, signal flow graphs. System performance characteristics: time response, sensitivity, steady-state error. Stability analysis: Routh-Hurwitz, root locus and Nyquist. State variables. Compensation design, software tools. (3 hrs lect, 3 hrs lab) prereq: 2111
IE 4196 - Cooperative Education I
Credits: 1.0 [max 2.0]
Course Equivalencies: ME 4196/IE 4196
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Practical work experience with employer closely associated with student's academic area; arranged by mutual agreement among student, department, and employer. Biweekly status reports and final written report must be submitted to department. prereq: BSIE candidate, no grad credit
IE 4197 - Industrial Engineering Internship
Credits: 1.0 [max 1.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Advanced practical work experience with employer closely associated with student's academic area; arranged by mutual agreement among student, department, and employer. Biweekly status reports and final written report must be submitted to department. Requires more than 15 hours per week of company work. Pre-req: upper division student and instructor consent; no grad credit
IE 4296 - Cooperative Education II
Credits: 2.0 [max 2.0]
Course Equivalencies: IE 4296/ME4296
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Advanced practical work experience with employer closely associated with student's academic area; arranged by mutual agreement among student, department, and employer. Biweekly status reports and final written report must be submitted to department. prereq: 4196 or ME 4196; no grad credit
IE 4297 - Industrial Engineering Internship
Credits: 2.0 [max 2.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Advanced practical work experience with employer closely associated with student's academic area; arranged by mutual agreement among student, department, and employer. Biweekly status reports with final written report must be submitted to department. Requires more than 15 hours per week of company work. pre-req: ME 4196 or 4197 or IE 4196 or 4197 and instructor consent
IE 4491 - Independent Study
Credits: 1.0 -4.0 [max 6.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Directed individual study arranged with instructor and department head before registration. prereq: BSIE or BSME candidate, department consent
IE 4495 - Special Topics: (Various Titles to be Assigned)
Credits: 1.0 -4.0 [max 32.0]
Typically offered: Fall Odd Year
Topics not available in regular department curriculum. May involve specialties of department or visiting faculty. prereq: BSIE candidate or instructor consent
IE 4993 - Industrial Engineering Seminar
Credits: 1.0 [max 2.0]
Grading Basis: S-N or Aud
Typically offered: Every Fall & Spring
Reports on recent developments in engineering and on research projects in the department. prereq: BSIE or BSChE or BSECE or BSME or MEHS candidate or instructor consent; no Grad credit
IE 5305 - Supply Chain Management
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Concepts essential to understanding supply chain management, including strategy and design, as well as operational, managerial, technological, and implementation issues. It provides an integrated perspective of the supply chain, including purchasing, production, transportation, distribution and information systems. prereq: 4020, BSIE candidate or MSEM student or instructor consent
IE 5325 - Advanced Engineering Economics
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Spring Even Year
Fundamentals of engineering economics: decision trees, time value of money, analysis of alternatives for project investments, taxes, inflation. Applications to engineering services and manufacturing. prereq: 3125, BSIE or MSEM candidate or department consent
IE 5335 - Engineered Products and Services
Credits: 3.0 [max 3.0]
Typically offered: Fall Odd Year
Development, production, and distribution of engineered products and services. Strategies for positioning engineered products and services to successfully compete in a global market. Sales, purchasing, qualification, and service. Standards, regulations. prereq: BSIE or MSEM candidate, instructor consent
IE 5345 - Life Cycle Assessment
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall & Spring
Students will learn how to assess environmental impact, economic costs, and social impacts for the entire life cycle of materials, products, processes, and infrastructure using industry life cycle assessment (LCA) software SimaPro. Topics include sustainability, cradle to cradle design, functional unit definition, materiality, discount rates, worker health and safety, and how to utilize LCA in decision-making. Students will work in teams on a LCA project with a presentation and written report that will be given to a client upon completion. pre-req: CHEM 1153, BS or MS SCSE candidate or instructor consent
IE 5355 - Data-Driven Engineering: Using Data Analytics for Engineering Design and Decision Making
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Data driven engineering refers to techniques and tools for making inferences and decisions based on data from manufacturing systems. These techniques are used by manufacturing industries to inform design, operations and supply chains. Students will understand descriptive, predictive and prescriptive parts of data analytics as applied to engineering examples. pre-req: STAT 3411, BSIE or BSME or double major
IE 5365 - Machine Learning Applications in System Dynamics and Control
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Spring
This course covers machine learning basics and methods for solving systems dynamics and controls problems. Topics include: machine learning fundamentals, regression models, neural networks, white box and black box models for dynamic system, advanced machine learning methods for dynamic system analysis, and machine learning for state estimation and prediction. pre-req: STAT 3411 and (ME 3140 or IE 4230)
IE 5991 - Independent Study in Industrial Engineering
Credits: 1.0 -4.0 [max 6.0]
Typically offered: Every Fall, Spring & Summer
Directed study of special interest topics not available in standard curriculum. Must be arranged with instructor before registration. May include readings, research and/or special projects. prereq: MSEM candidate, department consent
MATH 3298 - Calculus III
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Third part of a standard introduction to calculus. Conic sections, vectors and vector-valued functions, partial derivatives and multiple integrals, vector fields, Green's and Stokes' theorems. prereq: A grade of at least C- in 1297 or 1597
MATH 3355 - Discrete Mathematics
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Introduction to mathematical logic, predicates and quantifiers, sets, proof techniques, recursion and mathematical induction, recursive algorithms, analysis of algorithms, assertions and loop invariants, complexity measures of algorithms, combinatorial counting techniques, relations, graph theory. prereq: 1297 or 1597 or instructor consent, a grade of C- or better in is required in all prerequisite courses
ME 2211 - Thermodynamics (SUSTAIN)
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Thermodynamics, thermodynamic properties of liquids and gases, 1st and 2nd laws of thermodynamics, irreversibility and entropy. Carnot systems, work producing systems, combustion engine cycles, work absorbing systems, refrigeration cycles, psychrometrics. prereq: PHYS 2013; credit will not be granted if already received for ME 3211
ME 3010 - Fundamentals of Machining and Manufacturing
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Summer
Machining theory and laboratory work using mill, lathe, and drill press. Design drawings, tolerances, fits and finishes. Manufacturing processes and scheduling prereq: ENGR 1222, ME 2105, BSME or BSIE candidate
ME 3140 - System Dynamics and Control
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Mathematical modeling of mechanical, electrical, thermal, fluid, and hybrid systems. System response using numerical integration and Laplace transforms. Fourier transform and convolution. Transfer functions and frequency response. Classical control theory. prereq: CS 1121 or 1411 or 1511 or 2121, EE 2006, ME 2226, Math 3280, BSME or BS IE or BSEP candidate or instructor consent
ME 4050 - Fundamentals of Nuclear Engineering
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Spring Even Year
Introduction to the fundamentals of nuclear engineering including atomic and nuclear physics, fission, fusion, isotopes, radioactivity, nuclear reactions, radiation detection, criticality, and reactor kinetics. Overview of types of reactors and some operational considerations. prereq: Chem 1151 or Chem 1153 and 1154, Math 3280, Phys 2012 or 2015 and 2016; no grad credit
ME 4060 - Machine Vision and Image Based Robot Control
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Fall Even Year
Senior-level course on vision and control. In this course, students will be introduced to the up-to-date techniques of autonomous image-based robot control. The covered topics include algorithms on image acquisition, camera calibration, object identification, and visual servoing. The methods and concepts introduced will be combined with engineering applications such as obstacle avoidance in traffic safety, image-guided robotic surgery, and human-robot interaction in life support. Through this course, student will acquire both hardware and software development experiences on vision-based robot control, which could be directly applied to their future engineering career or advanced academic pursuance. prereq: CS 1511, Math 3280, ME 3140 or equivalent; no grad credit
ME 4135 - Robotics and Controls
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall
Exploration of Forward and Inverse Kinematics models for individual robots. Study of robot motion trajectories at the micro- and macroscopic level. Study of PE, PD and PID controllers for robots. Exploration of efficient methods for developing stable controllers for various geometric configurations. prereq: ME 3140, 3230, ENGR 2026 or ME 2226, BSME or BSIE or BSEP candidate or instructor consent
ME 4145 - CAD/CAM
Credits: 4.0 [max 4.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Description of hardware for CAD/CAM, principles of solid modeling, data structures, visualization, calculation of mass properties, surface modeling. Introduction to FEM usage, lab use of CAD/CAM system for solid modeling, cutter path generation, and FEM problems in vibration, stress analysis. prereq: IE 1225 or Engr 1222, Engr 2016 or CE 2017, BSME or BSEP candidate, or instructor consent; credit will not be granted if already received for IE 4145
ME 4175 - Machine Design
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Analysis of mechanical components as used in mechanical devices. Theories of material failures, lubrication, and corrosion. Design of machinery considering performance, safety, packaging, wear, and recycling. prereq: Engr 2016 or CE 2017 and ME 2105, BSME or BSIE or BSEP candidate or instructor consent; credit will not be granted if already received for IE 4175
ME 4365 - Global Sustainability Experience in Design/Manufacturing in Africa
Credits: 3.0 [max 3.0]
Prerequisites: 2105, IE 3130
Grading Basis: A-F or Aud
Typically offered: Every Summer
Sustainability within the manufacturing and design context will be taught and explored. As we live in a global economy, this course exposes students to some of the leaders in sustainability, alternative businesses, and manufacturing methods, reinforced by visits to local manufacturing facilities, art centers, museums, and historical villages in Ghana. Cultural activities including: cultural dance, keyboarding, textile dying, and basketeering are also integrated into the experience. Students will design and manufacture products, such as a bicycle or water faucet, using local environmentally friendly materials like bamboo. An Eco-tool audit software is used to analyze and select material and manufacturing processes at design state that have low environmental impact and are energy efficient. prereq: 2105, IE 3130
ME 4495 - Special Topics: (Various Titles to be Assigned)
Credits: 1.0 -4.0 [max 12.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall, Spring & Summer
Topics not available in regular department curriculum. May involve specialties of department or visiting faculty. prereq: BSME candidate or instructor consent, no grad credit
ME 5101 - Design and Manufacturing of Composite Materials
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall
This course provides students an overview of design, manufacturing and experimental characterization of fiber reinforced polymer (FRP) composite materials. Topics covered include: current and future applications of composite materials, fibers, matrices, interfaces, micromechanics, classical lamination plate theory, failure and strength analysis of composite materials, manufacturing methods, characterization and repair of composite materials. pre-req: ME 2105 or grad student or instructor consent
ME 5120 - Advanced Dynamics and Control
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Spring
This course covers modeling and control of linear and nonlinear mechanical and electro-mechanical systems. Topics include lumped-parameter and Lagrangian nonlinear modeling of mechanical and electro-mechanical systems, time domain response of dynamic systems, Lyapunov stability, and controller design for linear and non-linear systems. pre-req: BSME major with B or better in ME 3140 and MATH 3280 or graduate student or instructor consent.
ME 5315 - Nondestructive Evaluation of Engineering Materials
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Periodic Fall
Fundamentals of Ultrasonic and Acoustic Emission NDE are considered including wave propagation, experimental measurement systems, flaw detection and characterization, and material characterization. Labs are used to support the study of ultrasonic and acoustic emission NDE. Other NDE techniques including magnetics, penetrants, eddy currents, thermography, are surveyed. prereq: 3140
ME 5325 - Sustainable Energy System
Credits: 3.0 [max 3.0]
Course Equivalencies: EE 5501/ME 5325
Grading Basis: A-F only
Typically offered: Spring Odd Year
A comparison of different energy systems will be made in terms of economic, environmental and political implications. Specific energy alternatives will include coal, oil, geothermal, bioenergy, solar, wind, fission, fusion, hydrogen, fuel cell. prereq: 3211, BSChE or BSEE or BSIE or BSME candidate
ME 5365 - Introduction to Medical Device Development
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Spring Odd Year
This course will cover the concepts related to the development of medical devices including biocompatiblility of materials, prototyping medical devices, identifying unmet clinical needs, regulatory requirements, intellectual property protection, and reimbursement. Throughout the term of the semester students will apply these concepts to a project where they will develop a medical device concept to address an unmet clinical need. pre-req: ME 2105, BSME or BSIE upper division or MSEM or MSME candidate, or instructor consent
MGTS 4472 - Entrepreneurship
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall
Seminar on the fundamentals of entrepreneurship, the characteristics of entrepreneurs, and the life cycle of a new venture: creating and starting a new venture; financing the new venture; managing, growing, and ending the new venture. prereq: LSBE candidate or approved non-LSBE Organizational Management minor or college consent
STAT 5411 - Analysis of Variance
Credits: 3.0 [max 3.0]
Typically offered: Every Fall
Analysis of variance techniques as applied to scientific experiments and studies. Randomized block designs, factorial designs, nesting. Checking model assumptions. Using statistical computer software. prereq: 3411 or 3611; a grade of C- or better is required in all prerequisite courses
STAT 4511 - Regression Analysis
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Simple, polynomial, and multiple regression. Matrix formulation of estimation, testing, and prediction in linear regression model. Analysis of residuals, model selection, transformations, and use of computer software. prereq: STAT 3611, Math 3280 or Math 4326, a grade of C- or better in is required in all prerequisite courses; credit will not be granted if already received for STAT 5511; no grad credit.
ME 3111 - Fluid Mechanics
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Mass and energy balances, Bernoulli's Equation, momentum balance, laminar and turbulent flow, boundary layer theory, flow through porous media. prereq: Engr 2026 or ME 2226, ME 2211 or 3211, BSME candidate or instructor consent; credit will not be granted if already received for ChE 3111 or CE 3221
CHE 3111 - Fluid Mechanics
Credits: 3.0 [max 3.0]
Course Equivalencies: ChE 3111/ME 3111
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Mass and energy balances, Bernoulli's equation, momentum balance, laminar and turbulent flow, boundary layer theory, pumps, compressors, and turbines. prereq: BSChE cand, minimum grade of C+ in the following courses: CHE 2111 or 2211, Phys 2011 or 2013 and 2014, Math 3280, or instructor consent
ACCT 2001 - Principles of Financial Accounting
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Concepts of financial accounting and external reporting. Nature and measurement of assets, liabilities, equities, revenues, expenses. Emphasis on use and understanding of external financial statements. prereq: Minimum 15 credits or college consent
BLAW 2001 - The Legal Environment (LE CAT8, HUMANITIES)
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Introduction to U.S. legal system and its impact on modern business operations. Ethical, economic, social, and political perspectives of legal environment. Constitutional law, administrative regulation, torts and products liability, contracts, business organizations, employment/labor law. prereq: Minimum 30 credits
MGTS 1101 - Introduction to Business (LE CAT8)
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Periodic Fall & Spring
Introduction to context, environment, and operation of business and organizations. Study of foundations and functional areas of business and entrepreneurship. Analysis of technological, ethical, diversity, and global issues from business and organizational perspectives.
MKTG 3701 - Principles of Marketing
Credits: 3.0 [max 3.0]
Grading Basis: A-F only
Typically offered: Every Fall, Spring & Summer
Marketing as a process of exchange management. Emphasis on conceptual tools necessary to deal with both strategic marketing management issues and tactical management of product, price, promotion, and distribution. prereq: LSBE candidate or non-LSBE Marketing minor or approved non-LSBE business administration minor or college consent
COMM 1112 - Public Speaking (LE CAT, COMM & LAN)
Credits: 3.0 [max 3.0]
Course Equivalencies: Comm 1112/1511
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Application of the theoretical bases of rhetoric to the public speaking situation.
COMM 1222 - Interpersonal Communication (LE CAT, LECD C, COMM & LAN)
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Analysis of the role communication plays in interpersonal relationships.
ECON 1022 - Principles of Economics: Macro (LE CAT, SOC SCI)
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Analyzing overall performance of an economic system. National income accounting and theory, unemployment, inflation, fiscal policy, money, monetary policy, economic growth, international trade, non-U.S. economies, and real-world application of these concepts. prereq: Minimum 15 credits or department consent
ECON 1023 - Principles of Economics: Micro (LE CAT, SOC SCI)
Credits: 3.0 [max 3.0]
Grading Basis: A-F or Aud
Typically offered: Every Fall & Spring
Analyzing free enterprise system through study of product and resource markets. Supply and demand, utility, production and cost, market structure, resource use, market failures, regulatory role of government, and real-world application of these concepts. prereq: Minimum 15 credits or department consent