Industrial and Systems Engineering
Department Head: Dr. Mohammad Marufuzzaman
Co-Graduate Coordinators: Dr. Junfeng Ma and Dr. Haifeng Wang
260 McCain Building
Box 9542
Mississippi State, MS 39762
Telephone: 662-325-3865
E-mail: grad-coord@ise.msstate.edu
The Department of Industrial and Systems Engineering offers the Doctor of Philosophy in Industrial and Systems Engineering. In addition, the Department offers the Master of Science in Industrial and Systems Engineering with both thesis and non-thesis options.The M.S. (thesis option) is a research-oriented degree and serves to prepare students for positions in industry or government or for further graduate study in industrial and systems engineering or related areas.The M.S. (non-thesis option) is designed to prepare students for positions in business and industry that require a graduate education.
Concentrations offered at the master’s level are:
Human Factors and Ergonomics Concentration (HFE)
This concentration is designed for students who wish to increase their understanding of Human Factors and Ergonomics (HFE). Students will be exposed to both a breadth and depth of HFE principles and practices including but not limited to physical ergonomics, cognitive ergonomics, and occupational safety and health.
Industrial Systems Concentration (SYS)
This concentration prepares students for general Industrial and Systems Engineering (ISE) work. It is designed to allow the student a high degree of flexibility in selecting a program that meets his/her needs. For example, the student might choose to specialize in one or more areas of ISE (e.g., quality engineering) or choose a very broad program covering several ISE fields.
Management Systems Engineering Concentration (MGTS)
This concentration is designed for students who wish to increase their understanding and capability in the areas of management systems engineering and general engineering management. The philosophy behind this option is that students can be provided with knowledge that will enable them to apply an engineering approach to problems involved in the design and operation of management systems.
Manufacturing Systems Concentration (MFGS)
This concentration is designed for students who wish to increase their understanding of the design, analysis and control of manufacturing systems and processes.
Operations Research Concentration (OPRS)
This concentration is designed for students who wish to increase their understanding of and use of Operations Research (OR) skills for systems analysis and design.
Data Analytics (DAAS)
The Data Analytics (DAAS) concentration option is designed for students who wish to advance their careers in data analytics. The industry-relevant curriculum gives students the skills to extract valuable insights from big data. In this program, students will learn expertise in statistical modeling, data management, machine learning, data visualization, and data-driven decision-making related to industrial engineering applications, to meet the growing needs of industry, not-for-profits, government agencies, and other organizations.
Accelerated Programs
Highly qualified undergraduates in the Bagley College of Engineering are encouraged to consider applying to one of two Accelerated Programs offered by the Department of Industrial and Systems Engineering.
Bachelor of Science in Industrial Engineering leading to Master of Science in Industrial Engineering
At the time a student applies to the program, the student must:
- be enrolled at Mississippi State University in one of the eight Bagley College of Engineering programs;
- have earned at least 60 hours toward their respective degree; and
- have an overall cumulative grade point average (GPA) of at least 3.50.
An application package consists of the following items which must be submitted to the Graduate Coordinator of the Industrial and Systems Engineering Department.
- Application form
- One-page résumé
Bachelor of Science in Industrial Engineering leading to Master of Business Administration-Project Management
A second Accelerated Program encourages undergraduate students in Industrial Engineering to work toward a Master of Business Administration-Project Management degree and permits them to earn up to 9 hours of graduate-level coursework during their undergraduate industrial engineering program. These 9 hours are taken as graduate-level courses and earn both undergraduate credit (toward B.S.I.E. completion) and graduate credit (toward M.B.A.-P.M. completion) simultaneously. The Accelerated Program allows students to complete three foundational courses in the M.B.A.-P.M.program while still pursuing their B.S.I.E. The courses approved for the Accelerated Program are IE 6333 (Production Control 1), IE 6533 (Project Management), and IE 6653 (Industrial Quality Control 1). Junior and senior industrial engineering students with a cumulative GPA of 3.50 or higher are eligible to apply. Students interested in applying to the B.S.I.E./M.B.A.-P.M. program should see Accelerated Programs and contact Dr. Lesley Strawderman, ISE Undergraduate Coordinator. Ms. Angelia Knight is Director of the MBA programs in the College of Business.
Admission requirements include the following.
- A GPA of 3.50/4.00 for all undergraduate work
- A minimum of 60 hours towards the bachelor's degree
- Completed application available from the Department of Industrial and Systems Engineering
- Résumé
Admission Criteria
Typically, an entering M.S. student should have a grade point average of 3.00 out of 4.00 for the junior and senior years. Likewise, an entering Ph.D. student with an M.S. degree should have a 3.50 out of 4.00 grade point average on the M.S. work, while a Ph.D. student entering with only a B.S. degree is expected to have a 3.50 out of 4.00 on the last two years of the undergraduate program. A student with a lower GPA may still be eligible for admission based on outstanding qualifications in other areas. All entering students must submit GRE general-test scores. International students must have a minimum TOEFL score of 550 PBT (79 iBT) or IELTS score of 6.5.
The department reviews completed applications four times a year: February 15, May 15, August 15, and November 15. Incomplete or not fully processed applications will be reviewed during the next cycle.
Provisional Admission
An applicant who has not fully met the GPA requirement stipulated by the University may be admitted on a provisional basis. The provisionally-admitted student is eligible for a change to regular status after receiving a 3.00 GPA on the first 9 hours of graduate courses at Mississippi State University (with no grade lower than a C). The first 9 hours of graduate courses must be within the student's Program of Study. Courses with an S grade, transfer credits, or credits earned while in Unclassified status cannot be used to satisfy this requirement. If a 3.00 is not attained, the provisional student shall be dismissed from the graduate program. Academic departments may set higher standards for students to fulfill provisional requirements; a student admitted with provisional status should contact the graduate coordinator for the program’s specific requirements. While in the provisional status, a student is not eligible to hold a graduate assistantship.
Academic Performance
In addition to the criteria defined in the current Bulletin of the Graduate School, unsatisfactory performance in the graduate program in Industrial and Systems Engineering is defined as any of the following.
- Failure to maintain a 3.00 average in the M.S. program or 3.30 in the Ph.D. program,
- Failure of the qualifying exam (Ph.D. students only),
- Failure of the preliminary exam (Ph.D. students only);
- Failure of the comprehensive final exam (M.S. non-thesis option only),
- Unsatisfactory evaluation of thesis or dissertation, or
- A failure of the required component of the program of study.
Any one of these will constitute the basis for review for possible dismissal. If the students drops six or more quality points below the required average (3.00 for M.S. or 3.30 for Ph.D.), the graduate coordinator will review the record along with the student’s graduate committee and will recommend a final course of action, which will be immediate dismissal or the establishment of a probationary period in which corrective action must take place.
While on probation, the student is not eligible to receive an assistantship and is required to raise his/her cumulative GPA to 3.00 for M.S. or 3.30 for Ph.D. by the end of the following semester of enrollment. During that semester, the student must enroll in 9 credit hours of coursework; Directed Individual Study courses are excluded.
In case of a dismissal from the graduate program, a student may appeal his/her academic dismissal according to the following procedure.
- Within four weeks of being notified of the official dismissal, the student must present the request and related explanation in writing to the graduate coordinator. The graduate coordinator will review the appeal with the appropriate departmental committee and render a recommendation.
- If the appeal at the departmental level is unsuccessful, a student may then appeal to the Associate Dean for Research and Graduate Studies in the college.
- If the appeal at the college level is unsuccessful, the student may then appeal to the Office of the Provost.
Doctor of Philosophy in Industrial & Systems Engineering
Industrial Engineering courses | 30 | |
Courses in discipline other than Industrial Engineering | 6 | |
IE 6623 | Engineering Statistics II (or equivalent) | 3 |
IE 6773 | Systems Simulation I (or equivalent) | 3 |
Additional Graduate-level coursework | 6 | |
Research | 20 | |
Total Hours | 68 |
A preliminary examination, a dissertation, and an oral examination in defense of the dissertation are required.
Additional requirements are:
- No ISE graduate student may list ST 8114 or IE 6613 on his/her graduate program
- No program can contain more than 15 hours of courses that are required in the bachelor’s degree curriculum
- No program can contain more than 6 hours of Directed Individual Study (IE 7000).
Doctoral students must complete at least 48 hours of coursework beyond the B.S. level.
Master of Science in Industrial and Systems Engineering with Human Factors and Ergonomics Concentration (HFE) - Thesis
Prerequisites (foundational courses) are:
- MA 1713
- MA 1723
- MA 2733
- MA 2743
- IE 3123
- IE 4613/6613
IE 6773 | Systems Simulation I | 3 |
IE 6623 | Engineering Statistics II | 3 |
At least 3 HFE ISE courses | 9 | |
At least one non-HFE ISE course | 3 | |
IE 9000 | Research in Industrial Engineering | 6 |
At least one course from Mathematics (MA), Statistics (ST), or Computer Science and Engineering (CSE) | 3 | |
At least one course from a supporting area (Biological Engineering [ABE], Psychology [PSY], Kinesiology [KI], Mechanical Engineering [ME], Mathematics [MA], Statistics [ST], etc.) | 3 | |
Total Hours | 30 |
A thesis and an oral comprehensive examination in defense of the thesis are required.
Additional requirements are:
- A minimum of 12 hours coursework must be at the 8000-level or higher.
- No ISE graduate student may list ST 8114 or IE 6613 on his/her graduate program
- No program can contain more than 15 hours of courses that are required in the bachelor’s degree curriculum
- No program can contain more than 6 hours of Directed Individual Study (IE 7000).
The thesis-option Master of Science in Industrial Engineering requires at least 24 credit hours of coursework above the baccalaureate degree. IE 9000 does not apply to M.S. students.
Master of Science in Industrial and Systems Engineering with Human Factors and Ergonomics Concentration (HFE) - Non-Thesis
Prerequisites (foundational courses) are:
- MA 1713
- MA 1723
- MA 2733
- MA 2743
- IE 3123
- IE 4613/6613
IE 6773 | Systems Simulation I | 3 |
IE 6623 | Engineering Statistics II | 3 |
At least three HFE ISE courses | 9 | |
At least two non-HFE ISE courses | 6 | |
At least two courses from Mathematics (MA), Statistics (ST), or Computer Science and Engineering (CSE) | 6 | |
At least one course from a supporting area (Biological Engineering [ABE], Psychology [PSY], Kinesiology [KI], Mechanical Engineering [ME], Mathematics [MA], Statistics [ST], etc.) | 3 | |
Total Hours | 30 |
A written and oral comprehensive final exam on the coursework. At least 15 hours for the M.S. non-thesis degree must be from 8000-level courses or above. The specific courses required depend upon the student’s area of concentration. IE 8000 Research/Thesis does not apply to non-thesis students.
Additional requirements are:
- No ISE graduate student may list ST 8114 or IE 6613 on his/her graduate program.
- No program can contain more than 15 hours of courses that are required in the bachelor’s degree curriculum.
- No program can contain more than 6 hours of Directed Individual Study (IE 7000).
The non-thesis Master of Science requires at least 30 credit hours of coursework above the baccalaureate degree.
Master of Science in Industrial and Systems Engineering with Industrial Systems Concentration (SYS) - Thesis
Prerequisites (foundational courses) are:
- MA 1713
- MA 1723
- MA 2733
- MA 2743
- Computer programming proficiency
- IE 3123
- IE 3913
- IE 4333
- IE 4613/6613
IE 6773 | Systems Simulation I | 3 |
All other courses to be selected by the student along with the academic advisor and graduate program committee | 21 | |
IE 9000 | Research in Industrial Engineering | 6 |
Total Hours | 30 |
A thesis and an oral comprehensive examination in defense of the thesis are required.
Additional requirements are:
- A minimum of 12 hours coursework must be at the 8000-level or higher.
- No ISE graduate student may list ST 8114 or IE 6613 on his/her graduate program
- No program can contain more than 15 hours of courses that are required in the bachelor’s degree curriculum
- No program can contain more than 6 hours of Directed Individual Study (IE 7000).
The thesis-option Master of Science in Industrial Engineering requires at least 24 credit hours of coursework above the baccalaureate degree.
Master of Science in Industrial and Systems Engineering with Industrial Systems Concentration (SYS) - Non-Thesis
Prerequisites (foundational courses) are:
- MA 1713
- MA 1723
- MA 2733
- MA 2743
- Computer programming proficiency
- IE 3123
- IE 3913
- IE 4333
- IE 4613/6613
At least 15 hours of 8000-level courses selected by the student along with the academic advisor and grade program committee. | 15 | |
Other courses to be selected by the student along with the academic advisor and grade program committee. | 15 | |
Total Hours | 30 |
A written and oral comprehensive final exam on the coursework. At least 15 hours for the M.S. non-thesis degree must be from 8000-level courses or above. The specific courses required depend upon the student’s area of concentration. IE 8000 Research/Thesis does not apply to non-thesis students.
Additional requirements are:
- No ISE graduate student may list ST 8114 or IE 6613 on his/her graduate program.
- No program can contain more than 15 hours of courses that are required in the bachelor’s degree curriculum
- No program can contain more than 6 hours of Directed Individual Study (IE 7000).
The non-thesis Master of Science requires at least 30 credit hours of coursework above the baccalaureate degree.
Master of Science in Industrial and Systems Engineering with Management Systems Engineering Concentration (MGTS) - Thesis
Prerequisites (foundational courses) are:
- B.S. in engineering from an ABET-accredited program or permission from the MSE Technical Committee
- IE 3913
- IE 4613/6613
IE 6513 | Engineering Administration | 3 |
IE 6533 | Project Management | 3 |
IE 6573 | Process Improvement Engineering | 3 |
IE 8583 | Enterprise Systems Engineering | 3 |
IE 8913 | Engineering Economy II | 3 |
At least two non-MSE ISE courses | 6 | |
IE 9000 | Research in Industrial Engineering | 6 |
Course to be selected by the student along with academic advisor and graduate program committee | 3 | |
Total Hours | 30 |
A thesis and an oral comprehensive examination in defense of the thesis are required.
Additional requirements are:
- A minimum of 12 hours at the 8000-level is required.
- No ISE graduate student may list ST 8114 or IE 6613 on his/her graduate program
- No program can contain more than 15 hours of courses that are required in the bachelor’s degree curriculum
- No program can contain more than 6 hours of Directed Individual Study (IE 7000).
The thesis-option Master of Science in Industrial Engineering requires at least 24 credit hours of coursework above the baccalaureate degree.
Master of Science in Industrial and Systems Engineering with Management Systems Engineering Concentration (MGTS) - Non-Thesis
Prerequisites (foundational courses) are:
- B.S. in engineering from an ABET-accedited program or permission from the MSE Technical Committee
- IE 3913
- IE 4613/6613
IE 6513 | Engineering Administration | 3 |
IE 6533 | Project Management | 3 |
IE 6573 | Process Improvement Engineering | 3 |
IE 8583 | Enterprise Systems Engineering | 3 |
IE 8913 | Engineering Economy II | 3 |
At least two non-MSE ISE courses | 6 | |
Other courses to be selected by the student along with the academic advisor and graduate program committee | 9 | |
Total Hours | 30 |
A written and oral comprehensive final exam on the coursework. At least 15 hours for the M.S. non-thesis degree must be from 8000-level courses or above. The specific courses required depend upon the student’s area of concentration. IE 8000 Research/Thesis does not apply to non-thesis students.
Additional requirements are:
- No ISE graduate student may list ST 8114 or IE 6613 on his/her graduate program
- No program can contain more than 15 hours of courses that are required in the bachelor’s degree curriculum
- No program can contain more than 6 hours of Directed Individual Study (IE 7000).
The non-thesis Master of Science requires at least 30 credit hours of coursework above the baccalaureate degree.
Master of Science in Industrial and Systems Engineering with Manufacturing Systems Concentration (MFGS) - Thesis
Prerequisites (foundational courses) are:
- B.S. in engineering from an ABET-accredited program or permission from the Manufacturing Systems Technical Committee
- Computer programming proficiency
- IE 4333/6333
- IE 4613/6613
IE 6653 | Industrial Quality Control | 3 |
IE 6773 | Systems Simulation I | 3 |
IE 8333 | Production Control Systems II | 3 |
At least two Manufacturing Systems ISE courses | 6 | |
IE 9000 | Research in Industrial Engineering | 6 |
At least two non-Manufacturing Systems ISE courses | 6 | |
Course to be selected by the student along with the academic advisor and graduate program committee | 3 | |
Total Hours | 30 |
A thesis and an oral comprehensive examination in defense of the thesis are required.
Additional requirements are:
- A minimum of 12 hours coursework must be at the 8000-level or higher.
- No ISE graduate student may list ST 8114 or IE 6613 on his/her graduate program
- No program can contain more than 15 hours of courses that are required in the bachelor’s degree curriculum
- No program can contain more than 6 hours of Directed Individual Study (IE 7000).
The thesis-option Master of Science in Industrial Engineering requires at least 24 credit hours of coursework above the baccalaureate degree.
Master of Science in Industrial and Systems Engineering with Manufacturing Systems Concentration (MFGS) - Non-Thesis
Prerequisites (foundational courses) are:
- B.S. in engineering from an ABET-accredited program or permission from the Manufacturing Systems Technical Committee
- Computer programming proficiency
- IE 4333/6333
- IE 4613/6613
IE 6653 | Industrial Quality Control | 3 |
IE 6773 | Systems Simulation I | 3 |
IE 8333 | Production Control Systems II | 3 |
At least two Manufacturing Systems ISE courses | 6 | |
At least two non-Manufacturing Systems ISE courses | 6 | |
Other courses to be selected by the student along with the academic advisor and graduate program committee | 9 | |
Total Hours | 30 |
A written and oral comprehensive final exam on the coursework. At least 15 hours for the M.S. non-thesis degree must be from 8000-level courses or above. The specific courses required depend upon the student’s area of concentration. IE 8000 Research/Thesis does not apply to non-thesis students.
Additional requirements are:
- No ISE graduate student may list ST 8114 or IE 6613 on his/her graduate program
- No program can contain more than 15 hours of courses that are required in the bachelor’s degree curriculum
- No program can contain more than 6 hours of Directed Individual Study (IE 7000).
The non-thesis Master of Science requires at least 30 credit hours of coursework above the baccalaureate degree.
Master of Science in Industrial and Systems Engineering with Operations Research Concentration (OPRS) - Thesis
Prerequisites (foundational courses) are:
- MA 1713
- MA 1723
- MA 2733
- MA 2743
- Computer programming proficiency
- IE 4613/6613
IE 6733 | Linear Programming | 3 |
IE 6773 | Systems Simulation I | 3 |
At least two OR ISE ccourses | 6 | |
IE 9000 | Research in Industrial Engineering | 6 |
At least two non-OR ISE courses | 6 | |
At least one course from Computer Science (CSE), Mathematics (MA), or Statistics (ST) | 3 | |
Course to be selected by the student along with the academic advisor and graduate program committee | 3 | |
Total Hours | 30 |
A thesis and an oral comprehensive examination in defense of the thesis are required.
Additional requirements are:
- A minimum of 12 hours coursework must be at the 8000-level or higher.
- No ISE graduate student may list ST 8114 or IE 6613 on his/her graduate program
- No program can contain more than 15 hours of courses that are required in the bachelor’s degree curriculum
- No program can contain more than 6 hours of Directed Individual Study (IE 7000).
The thesis-option Master of Science in Industrial Engineering requires at least 24 credit hours of coursework above the baccalaureate degree.
Master of Science in Industrial and Systems Engineering with Operations Research Concentration (OPRS) - Non-Thesis
Prerequisites (foundational courses) are:
- MA 1713
- MA 1723
- MA 2733
- MA 2743
- Computer programming proficiency
- IE 4613/6613
IE 6733 | Linear Programming | 3 |
IE 6773 | Systems Simulation I | 3 |
At least two Operations Research ISE courses | 6 | |
At least two non-Operations Research ISE courses | 6 | |
At least one course com Computer Science (CSE), Mathematics (MA), or Statistics (ST) | 3 | |
Courses to be selected by the student along with the academic advisor and graduate program committee | 9 | |
Total Hours | 30 |
A written and oral comprehensive final exam on the coursework. At least 15 hours for the M.S. non-thesis degree must be from 8000-level courses or above. The specific courses required depend upon the student’s area of concentration. IE 8000 Research/Thesis does not apply to non-thesis students.
Additional requirements are:
- No ISE graduate student may list ST 8114 or IE 6613 on his/her graduate program
- No program can contain more than 15 hours of courses that are required in the bachelor’s degree curriculum
- No program can contain more than 6 hours of Directed Individual Study (IE 7000).
The non-thesis Master of Science requires at least 30 credit hours of coursework above the baccalaureate degree. IE 9000 does not apply to M.S. students.
Master of Science in Industrial and Systems Engineering with Data Analytics Concentration (DAAS) – Thesis
Prerequisites (foundational courses) are:
- MA 1713
- MA 1723
- MA 2733
- MA 2743
- MA 3113
- Computer programming proficiency
- IE 4613
IE 6623 | Engineering Statistics II | 3 |
IE 6683 | Machine Learning with Industrial Engineering Applications | 3 |
IE 8623 | Advanced Data Analytics for Complex Systems | 3 |
At Least 3 ISE electives in Data Analytics. See academic advisor for list of approved electives | 9 | |
At least one graduate class from CSE, ECE, or Math/Stat | 3 | |
Courses to be selected by the student along with the academic advisor and graduate program committee | 3 | |
Thesis Research | 6 | |
Research in Industrial Engineering | ||
Total Hours | 30 |
1. The thesis-option Master of Science in Industrial Engineering requires at least 24 credit hours of coursework above the baccalaureate degree.
Master of Science in Industrial and Systems Engineering with Data Analytics Concentration (DAAS) - Non-Thesis
Prerequisites (foundational courses) are:
- MA 1713
- MA 1723
- MA 2733
- MA 2743
- MA 3113
- Computer programming proficiency
- IE 4613
IE 6623 | Engineering Statistics II | 3 |
IE 6683 | Machine Learning with Industrial Engineering Applications | 3 |
IE 8623 | Advanced Data Analytics for Complex Systems | 3 |
At least three ISE elective courses in Data Analytics. See academic advisor for a list of approved electives | 9 | |
At least one graduate class from CSE, ECE, or Math/Stat | 3 | |
Courses to be selected by the student along with the academic advisor and graduate program committee | 9 | |
Total Hours | 30 |
1. A written and oral comprehensive final exam on the coursework. At least 15 hours for the M.S. non-thesis degree must be from 8000-level courses or above. The specific courses required depend upon the student's area of concentration. IE 9000 Research/Thesis does not apply to non-thesis students.
IE 6113 Human Factors Engineering: 3 hours.
(Prerequisite: Junior standing in engineering). Two hours lecture. Three hours laboratory. Human capabilities and limitations affecting communications and responses in man-machine systems. Emphasis on physiological and psychological fundamentals
IE 6123 Psychology of Human-Computer Interaction: 3 hours.
(Prerequisite: PSY 3713 or CS 4663/6663 or IE 4113/6113 or consent of instructor). Two hours lecture. Two hours laboratory. Exploration of psychological factors that interact with computer interface usability. Interface design techniques and usability evaluation methods are emphasized. (Same as CS 4673/6673 and PSY 4743/6743)
IE 6163 Occupational Physiology: 3 hours.
Three hours lecture. Introduction to physiological characteristics of humans and responses relating to the work environment. Discussions of applied techniques for performing physiological evaluations will be presented and discussed for the development/assessment of working conditions
IE 6173 Occupational Safety Engineering: 3 hours.
(Prerequisite: Junior standing). Three hours lecture. Causes and prevention of industrial accidents. Analysis of hazardous processes and materials. Design of occupational safety systems and programs
IE 6193 Automotive Engineering: 3 hours.
Three hours lecture. Fundamentals of automotive engineering including power units, mechanical systems, electrical systems and industrial and systems engineering aspects. (Same as CHE/ECE/ME 4193/6193 )
IE 6333 Production Control Systems I: 3 hours.
(Prerequisite: Grade of C or better in IE 4613). Three hours lecture. Principles, analysis, and design of production and inventory planning and control. Demand for forecasting, aggregated planning, inventory management , production scheduling and control systems
IE 6353 Materials Handling: 3 hours.
(Prerequisite: Junior or Senior Standing). Three hour lecture. Analysis and design of materials handling systems and components. Introduction to facilities design
IE 6373 Automation: 3 hours.
Two hours lecture. Three hours laboratory. Introduction to the various technologies used in both design and manufacturing automation
IE 6513 Engineering Administration: 3 hours.
(Prerequisite: Junior or graduate standing in engineering). Three hours lecture. Study of problems confronting the engineering manager. Includes: Organization and communication theory, internal and external relationships and responsibilities, and designing and implementing managerial systems
IE 6533 Project Management: 3 hours.
(Prerequisites: Grade of C or better in IE 4613). Three hours lecture. Use of CPM, PERT, and GERT for planning, managing and controlling projects. Computer procedures for complex networks
IE 6543 Logistics Engineering: 3 hours.
(Prerequisite: IE 4613 and senior or graduate standing, Co-requisites: IE 4733 or MA 4733). Three hours lecture. Analysis of complex logistics networks. Integration of supply, production, inventory, transportation, and distribution. Strategies for reducing logistics costs and lead times. Customer-supplier partnerships
IE 6553 Engineering Law and Ethics: 3 hours.
(Prerequisite: Senior standing in engineering). Three hours lecture. The engineer and his relations to the law, to the public, and the ethics of his profession. Includes contracts, patents, copyrights, sales agreements, engineering specifications
IE 6573 Process Improvement Engineering: 3 hours.
Three hours lecture. Introduction to quality and productivity improvement methodologies and tools. The design and implementation of continuous improvement systems in organizations
IE 6613 Engineering Statistics I: 3 hours.
(Prerequisite: MA 1723). Three hours lecture. Introduction to statistical analysis. Topics include: probability, probability distributions, data analysis, parameter estimation, statistical intervals, and statistical inferences
IE 6623 Engineering Statistics II: 3 hours.
(Prerequisite: Grade of C or better in IE 4613). Three hours lecture. Continuation of IE 4613/6613. Introduction to engineering applications of regression, experimental design and analysis, and nonparametric methods
IE 6653 Industrial Quality Control: 3 hours.
(Prerequisite: IE 4613). Three hours lecture. The theory and application of statistical quality control; statistical process control; and statistical acceptance sampling
IE 6673 Reliability Engineering: 3 hours.
(Prerequisites: IE 4613 ). Three hours lecture. Probability functions and statistical methods for component life testing and system reliability prediction. System availability and maintainability. Redundancy in time-dependent and time-independent situations
IE 6683 Machine Learning with Industrial Engineering Applications: 3 hours.
(Prerequisite: IE 4613/6613: Engineering Statistics I or equivalent; an approved computer programing elective course). Three hours lecture. An introduction to machine learning model design and development for use in IE applications. The topics will include the foundation of Python computational tools, regression, classification, and unsupervised learning
IE 6713 Operations Research I: 3 hours.
(Prerequisites: IE 4613). Mathematical techniques of decision making, queuing, networks, simulation and dynamic programming
IE 6733 Linear Programming: 3 hours.
(Prerequisites: MA 3113). Three hours lecture. Theory and application of linear programming; formulating optimization models; simplex algorithm, duality and sensitivity analysis, integer programming; branch-and-bound algorithm; real-life applications of linear and integer programming models (Same as MA 4733/6733)
IE 6743 Engineering Design Optimization: 3 hours.
(Prerequisite: Consent of instructor). Three hours lecture. Introduction to optimality criteria and optimization techniques for solving constrained or unconstrained optimization problems. Sensitivity analysis and approximation. Computer application in optimization. Introduction to MDO. ( Same as ASE 4553/6553 and EM 4143/6143 )
IE 6753 Systems Engineering and Analysis: 3 hours.
(Prerequisite: Grade of C or better in IE 3913 and IE 4613). Three hours lecture. Systems concepts, methodologies, models and tools for analyzing, designing, and improving new and existing human-made systems
IE 6773 Systems Simulation I: 3 hours.
(Prerequisite: Grade of C or better in IE 4934, IE 4933 or equivalent programming course, Co-requisite: IE 4623). Three hours lecture. The principles of simulating stochastic systems with an emphasis on the statistics of simulation and the use of discrete-event simulation languages
IE 6923 Six Sigma Methods and Project: 3 hours.
(Prerequisites: IE 4623/6623, IE 4653/6653) One hour lecture Four hours laboratory. Introduction of six sigma and problem solving methodologies. Application of learned methodologies in selecting, performing, and completing a process involvement project
IE 6933 Information System in Industrial Engineering: 3 hours.
(Prerequisite: Grade of C or better in CSE 1233, CSE 1284 or equivalent). Three hours lecture. An introduction to the design and development of information systems for use in industrial engineering applications
IE 6990 Special Topics in Industrial and Systems Engineering: 1-9 hours.
Credit and title to be arranged. This course is to be used on a limited basis to offer developing subject matter areas not covered in existing courses. (Courses limited to two offerings under one title within two academic years)
IE 7000 Directed Individual Study in Industrial and Systems Engineering: 1-6 hours.
Hours and credits to be arranged
IE 8143 Applied Ergonomics Methods: 3 hours.
Three hours lecture. Provide practical usage and theoretical background of select tools for ergonomic evaluation of workers and work places, tasks, and environments using real world scenarios
IE 8153 Cognitive Engineering: 3 hours.
Three hours lecture. Implications of human perceputal, cognitive, and psycho-motor capabilities on the design of systems for effective, efficient and safe human-machine performance
IE 8163 Macroergonomics: 3 hours.
Three hours lecture. Provides a foundational review of Macrergonomics, examining the personnel, technolgical, and environmental factors influencing organizations. Addresses the relationship between macro- and micro- ergonomics
IE 8333 Production Control Systems II: 3 hours.
(Prerequisites: IE 4333 ). Three hours lecture. Inventory systems, static and dynamic production planning, operations scheduling and forecasting systems
IE 8353 Manufacturing Systems Modeling: 3 hours.
(Prerequisites: IE 4733 and IE 4773). Three hours lecture. A study of models used to describe and analyze manufacturing systems. Development of models using queuing networks, mathematical programming, simulation, and other techniques
IE 8583 Enterprise Systems Engineering: 3 hours.
(Prerequisite: Consent of instructor). Three hours lecture. Focuses on the design and improvement of an enterprise through the use of engineering tools and methods, based on the systems perspective of industrial engineering
IE 8623 Advanced Data Analytics for Complex Systems: 3 hours.
(Prerequisite: IE 4623 and IE 4683/6683 or equivalent). Three hours lecture. This course will cover a collection of advanced statistical modeling methods including regression-based methods, classification methods, and functional data analysis for complex engineering systems
IE 8703 Optimization in Deep Learning: 3 hours.
(Prerequisites: IE 4733/MA 4733 and IE 4683/6683 or equivalent courses; experience with Python programming; or consent of instructor). Three hours lecture. An introduction to deep learning models and their optimization; gradient methods, mirror descent; proximal gradient methods, and mirror gradient
IE 8723 Operations Research II: 3 hours.
(Prerequisite: IE 4713). Problem formulation, general inventory theory, restricted inventory models. Markovian and queuing processes, sequencing and coordination, game theory, search problems
IE 8733 Decision Theory: 3 hours.
(Prerequisite: IE 4613). Three hours lecture. A quantitative development of the decision making process. Criteria for decision making. Treatment of risk under uncertainty and in conflict situations
IE 8743 Nonlinear Programming I: 3 hours.
(Prerequisite: IE 4733 or MA 4733). Three hours lecture. Optimization of nonlinear functions; quadratic programming, gradient methods, integer programming; Lagrange multipliers and Kuhn-Tucker theory
IE 8753 Network Flows and Dynamic Programming: 3 hours.
(Prerequisites:MA 2733 and IE 4613).Three hours lecture. Applications of network optimization problems and simplex algorithm;and dynamic programming to industrial/ management problems. Study of serial/non-serial multistage deterministic and stochastic systems. Principles of optimality
IE 8763 Stochastic Programming: 3 hours.
Three hours lecture. An introduction to stochastic optimization, focusing on stochastic programming. Covers applications of stochastic modeling and formulation, important properties of stochastic programs, and solution methods such as decomposition, Monte Carlo methods, and approximation methods
IE 8773 Systems Simulation II: 3 hours.
(Prerequisite: IE 4773/6773 ). Three hours lecture. Continuation of IE 4773. Includes: Advanced theory and practice of simulation, the statistics of simulation, simulation languages, and continuous simulations
IE 8793 Heuristics in Optimization: 3 hours.
Three hours lecture. A study of heuristic methods and their applications to optimization problems
IE 8913 Engineering Economy II: 3 hours.
(Prerequisites: IE 3913 and IE 4613). Three hours lecture. Advanced principles and methods for engineering analysis of industrial problems. Topics include criteria for decisions, project investment and analysis, and elements of risk and uncertainty
IE 8990 Special Topics in Industrial and Systems Engineering: 1-9 hours.
Credit and title to be arranged. This course is to be used on a limited basis to offer developing subject matter areas not covered in existing courses. (Courses limited to two offerings under one title within two academic years)
IE 9000 Research in Industrial Engineering: 1-13 hours.
Hours and credits to be arranged