ISE students have the ability to choose a catalog year depending on the year they became a student at the University of Tennessee. To discover your catalog year, please access your DARS report or My Academic Advising Profile on your My UTK account. Can’t find your catalog year or want to change it? Email Rachel, the ISE Academic Advisor, at rdunca16@utk.edu.
Please choose the flow chart that matches your catalog year below:
Fall 2018 IE Flow Chart (Updated 4-5-2018)
Fall 2019 IE Flow Chart (Updated 6-7-2019)
Fall 2020 IE Flow Chart (Updated May 21, 2020)
Fall 2021 IE Flow Chart (Updated May 2021)
Fall 2022 Flow Chart with Course Titles
Click to access Fall-2023-Flow-Chart.pdf
IE 200 – Engineering Statistics
3 credit hours: Introduction to probability concepts, probability distributions, data collection, descriptive statistics, discrete distributions, continuous distributions, estimation of means, confidence intervals, hypothesis tests, regression, and correlation. Emphasis on industrial engineering techniques for data collection, data analysis, and engineering probability and statistics.
(RE) Prerequisite(s): Mathematics 142 or 148.
IE 201 – Introduction to Industrial and Systems Engineering
3 Credit Hours: This course introduces the incoming Industrial and Systems Engineering (ISE) students to the different aspects of the practice of industrial engineering including but not limited to supply chain logistics, healthcare, manufacturing and service operations, etc.
(RE) Prerequisite(s): Sophomore standing in Industrial and Systems Engineering.
IE 202 – Work Measurement and Introduction to Manufacturing Processes
3 Credit Hours: Introduction to methods, standards, work design, and productivity improvement. Work method design: exploratory, documentation, and analysis tools. Operation analysis: product, process and schedule design. Introduction to facilities layout, work design, work method improvement, time study, learning curves, and wage incentives systems. A survey of manufacturing processes, traditional machining, and non-traditional machining. Fundamental principles and procedures will be applied through a class project developed by students working in teams.
(RE) Prerequisite(s): Engineering Fundamentals 152 or 157.
(RE) Corequisite(s): 200 or Statistics 251.
Recommended Background: Completion of first-year engineering courses.
Comment(s): Available to other majors who have completed an introductory course in probability and statistics.
IE 250 – Leadership in Industrial Engineering I: Professional Writing
1 Credit Hour: Aspects of leadership in a professional environment will be studied from current literature reading and discussions. Industry professionals will periodically lead the class to enlighten students to aspects of the practice of industrial engineering. Explanation of ISE curriculum content and sequences will be provided. Regular submission of written papers on assigned and discussed topics will be critically reviewed to emphasize key aspects of professional level written communications including content, format, and referencing.
Registration Restriction(s): Industrial engineering major.
IE 300 -Quality Control and Management
3 Credit Hours: Theory and application of statistical quality control and improvement, including both traditional and modern methods; statistical process monitoring; and process and measurement system capability analysis.
Contact Hour Distribution: 3 hours lecture.
(RE) Prerequisite(s): 200 or Statistics 251.
Comment(s): Available to other majors who have completed an introductory course in probability and statistics.
IE 301 – Operations Research I: Deterministic Models
3 Credit Hours: Integrated system modeling concepts. Linear mathematical programming models including modeling, the simplex procedure, sensitivity analysis, dual theory, transportation, transshipment, and assignment problems, and integer linear programming.
(RE) Prerequisite(s): Mathematics 200.
Recommended Background: Completion of an introductory course in probability and statistics.
IE 304 – Introduction to Human Factors Engineering
3 Credit Hours: Human capabilities and limitations affecting work, workplace, and work environment design. Emphasis on human factors methodology, human input requirements, human outputs, the design of human-machine interfaces, the analysis of stress on performance, and environmental factors such as noise, lighting, and atmospheric conditions. Focus on designing the task to fit the person.
Comment(s): Available to other majors who have completed an introductory course in probability and statistics.
Registration Restriction(s): Minimum student level – junior.
IE 310 – Operations Research II: Probabilistic Models
3 Credit Hours: Probabilistic Models, including decision makings under uncertainty, inventory models, Markov Chains, and queuing theory.
(RE) Prerequisite(s): 200 or Statistics 251; and 301.
Recommended Background: Completion of a computer-programming course.
IE 317 – Honors: Operations Research in Industrial Engineering II
3 Credit Hours: Students will attend 310 classes with supplementary assignments and/or class meetings.
(RE) Prerequisite(s): 200 or Statistics 251; and 301.
Registration Permission: Consent of instructor.
IE 340 – Process Improvement Through Planned Experimentation
3 Credit Hours: Development and discussion of fundamental theory, concepts and procedures required for the efficient design and analysis of industrial experiments. Topics covered include the statistical approach, screening procedures for factor and interaction effects in one-factor and multiple-factor experiments with and without restrictions on randomization, two-level and mixed-level full and fractional factorial designs with and without blocks, response surface methodology, and Taguchi methods. Integrated treatment of these topics provides knowledge and skills for process and product improvement in engineering applications. Use of specialized software for experimental data analysis.
(RE) Prerequisite(s): 200 and 202.
Recommended Background: Completion of an introductory course in probability and statistics.
IE 350 – Leadership in Industrial Engineering II: Team Building Skills
1 Credit Hour: Aspects of leadership in a professional environment will be studied from current literature reading and discussions. Industry professionals will periodically lead the class to enlighten students to aspects of the practice of industrial engineering. Teams will be formed for a semester-long project addressing a contemporary issue in industrial engineering either from industry collaborations or from societal concerns. Teams will execute literature search, construct customer surveys, write a formal paper and present their findings.
Satisfies General Education Requirement: (WC)
(RE) Prerequisite(s): 250.
Registration Restriction(s): Industrial engineering major; minimum student level – junior.
IE 401 – Facilities Planning and Material Handling
3 Credit Hours: Fundamental concepts, theory and procedures for the study of facilities design and location; physical layout; material flow principles; and material handling. Product design, process planning and schedule design are integrated through the development of analytical procedures and use of layout planning software to enhance the decision-making process in the design, rationalization and improvement of factory and office layouts. The knowledge learned in this course is integrated with knowledge from selected related courses to develop a laboratory design project by students working in teams.
Contact Hour Distribution: Two lecture and two lab.
(RE) Prerequisite(s): 202.
(RE) Corequisite(s): 405.
IE 402 – Production System Planning and Control
3 Credit Hours: Theory and application of forecasting systems, including regression and time series models. Independent demand inventory models, including development of safety stock. All modules of Manufacturing Resource Planning (MRP) Systems. Master production scheduling, resource requirements planning, bill of material and inventory file structures, material requirements planning, capacity planning, shop floor and purchase order control. Overview of just-in-time inventory concepts and MRP’s role in manufacturing automation.
(RE) Prerequisite(s): 202.
(RE) Corequisite(s): 300.
IE 404 – Industrial Engineering Design I
2 Credit Hours: Current real-world problems will be drawn from local production and service organizations and presented by personnel from these organizations. Senior industrial engineering student teams will solve these real-world problems under the guidance of their instructor using industrial engineering methodology. These problems emphasize problem definitions, analysis, and presentation with considerations for engineering standards and realistic economic, environmental, ethical, safety, social, political, and other pertinent constraints.
(RE) Prerequisite(s): 300, 301.
(RE) Corequisite(s): 405.
Recommended Background: Completion of all industrial engineering junior-level courses.
Registration Permission: Consent of instructor.
IE 405 – Engineering Economic Analysis
3 Credit Hours: Role of engineering economy in engineering practice; principles of economic equivalence; time value of money and discounted cash-flow techniques; analysis of single and multiple investments; comparison of alternatives; capital recovery and tax implications; inflation; public sector analysis; cost estimation; depreciation schedules; break-even point concepts; decision making under uncertainty; risk analysis; introduction to investing in the financial market; basic accounting principles and financial statements including balance sheets, income statements, cost of goods sold statements, and business ratios.
Registration Restriction(s): Tickle College of Engineering or biosystems engineering majors.
IE 406 – Simulation
3 Credit Hours: Simulation of complex business and industry processes using current simulation software (e.g., Arena) where management, strategic and operational decision making can be enhanced through modeling and analysis. Introduction to modeling concepts, flowcharting, random number generation, design of experiments, simulation logic, computer animation, and optimization. Utilization of statistical tools to analyze inputs and outputs to simulation models. Provides hands-on experiences in developing simulation models for relevant manufacturing and service industry case studies.
Contact Hour Distribution: 2 hours lecture and 1 lab.
(RE) Prerequisite(s): 200 or Statistics 251.
(RE) Corequisite(s): 310.
Recommended Background: Completion of 202 and an introductory course in probability and statistics.
IE 407 – Honors: Facilities Planning and Material Handling
3 Credit Hours: Students will attend 401 classes with supplementary assignments and/or class meetings.
(RE) Prerequisite(s): 202.
(RE) Corequisite(s): 405.
Registration Permission: Consent of instructor.
IE 408 – Honors: Simulation
3 Credit Hours: Students will attend 406 classes, with supplementary assignments and/or class meetings.
Contact Hour Distribution: 2 hours lecture and 1 lab.
(RE) Prerequisite(s): 200 or Statistics 251.
(RE) Corequisite(s): 310 or 317.
Recommended Background: Completion of 202 and an introductory course in probability and statistics.
Registration Permission: Consent of instructor.
IE 421 – Information Systems Analysis and Design
3 Credit Hours: Systems engineering approach to analysis and design of systems of information. Topics ― system development life cycle, system analysis methodologies, data analysis techniques, system design, joint application design, and rapid application design. Lab introduces analysis and design software tools.
Recommended Background: Completion of an introductory course in probability and statistics.
Registration Restriction(s): Industrial engineering major; minimum student level – senior.
IE 422 – Industrial Engineering Design II
2 Credit Hours: Current real-world problems will be drawn from local production and service organizations and presented by personnel from these organizations. Senior industrial engineering student teams will solve these real-world problems under the guidance of their instructor using industrial engineering methodology. These problems emphasize problem definitions, analysis, and presentation with considerations for engineering standards and realistic economic, environmental, ethical, safety, social, political, and other pertinent constraints.
Satisfies General Education Requirement: (OC) (WC)
(RE) Prerequisite(s): 404; English 102 or 118.
IE 423 – Industrial Safety
3 Credit Hours: Accident causation, losses, and investigative techniques. Role of human, task/machine, and environment in accident prevention. Safety standards, codes, and laws. Product liability, design, evaluation, and management of safety organizations and programs. Hazard recognition, analysis, control and risk assessment, systems safety and related techniques.
Registration Restriction(s): Minimum student level – junior.
IE 427 – Introduction to Lean Systems
3 Credit Hours: Introduces an engineering based framework to implement process and system improvements within both the manufacturing and service enterprises. The students will be introduced to the basic concepts of lean systems including facility design and six sigma. The focus of the course will be to enable students to design complex processes and systems based on the physical system and the associated information system. Activities will include case studies, industry based projects, and the preparation of engineering reports.
(RE) Corequisite(s): 406 or 408.
Recommended Background: 350, 401 (or 407), and completion of an introductory course in probability and statistics.
IE 428 – Honors: Information Systems Analysis and Design
3 Credit Hours: Students will attend 421 classes with supplementary assignments and/or class meetings.
(RE) Corequisite(s): 402.
Recommended Background: Completion of 202 and an introductory course in probability and statistics.
Registration Restriction(s): Industrial engineering major; minimum student level – senior.
Registration Permission: Consent of instructor.
IE 430 – Supply Chain Engineering
3 Credit Hours: An overview of supply chain engineering with topics including: building a strategic framework to analyze supply chains, designing the supply chain network, planning demand and supply, planning and managing inventories, sourcing, transporting, and pricing products, and coordination and technology in the supply chain.
(RE) Corequisite(s): 405.
IE 450 – Leadership in Industrial Engineering III: Project Planning
1 Credit Hour: Aspects of leadership in a professional environment will be studied from current literature reading and discussions. Industry professionals will periodically lead the class to enlighten students to aspects of the practice of industrial engineering. Each student will develop a project plan including goals, milestones, task breakdown, resource assessment and budget culminating with an oral project review presentation.
(RE) Prerequisite(s): 350.
Registration Restriction(s): Industrial engineering major; minimum student level – senior.
IE 451 – Creative Technical Problem Solving
3 Credit Hours: This course introduces creative technical thinking principles for problem solving to address larger challenges that create value for organizations and society. Thinking methods covered include ideality, functional analysis, nine windows of a system, migration to the system, 5 whys, cause and effect chains, separation principles, technical contradictions and S-curve analysis.
Registration Restriction(s): Junior standing in engineering or junior standing in the Haslam College of Business.
IE 457 – Engineering Entrepreneurship
3 Credit Hours: Technology and innovation, technology transfer, and patent protection. Legal formation and intellectual property, knowledge management, generation, and transmission. Creating a business plan and a marketing plan, launching a technology- based business. Sources of capital, small business growth and operation.
(Same as Chemical and Biomolecular Engineering 457, Industrial Engineering 457, Materials Science and Engineering 457, and Nuclear Engineering 457.)
Registration Permission: Consent of instructor.
IE 483 – Introduction to Reliability Engineering
3 Credit Hours: Probabilistic failure models and parameter estimation (maximum likelihood, Bayes techniques). Model identification and comparison, accelerated life tests, failure prediction, system reliability, preventive maintenance, and warranties.
(Same as Chemical and Biomolecular Engineering 483; Materials Science and Engineering 483; Mechanical Engineering 483; Nuclear Engineering 483.)
(RE) Prerequisite(s): 200 or Statistics 251.
IE 484 – Introduction to Maintainability Engineering
3 Credit Hours: Principles of maintenance and reliability engineering and maintenance management. Topics include information extraction from machinery measurements, rotating machinery diagnostics, nondestructive testing, life prediction, failure models, lubrication oil analysis, establishing a predictive maintenance program, and computerized maintenance management systems.
(Same as Chemical and Biomolecular Engineering 484; Materials Science and Engineering 484; Mechanical Engineering 484; Nuclear Engineering 484.)
(RE) Prerequisite(s): 200 or Statistics 251.
IE 493 – Special Topics
1-3 Credit Hours: Recent developments in industrial engineering including new areas of application, new research techniques, and new methodologies.
Repeatability: May be repeated: Maximum 6 hours.
Registration Restriction(s): Minimum student level – junior.
IE 494 – Special Topics
1-3 Credit Hours: Recent developments in industrial engineering, including new areas of application, new research techniques, and new methodologies.
Repeatability: May be repeated. Maximum 6 hours.
Registration Restriction(s): Minimum student level – junior.
IE 495 – Special Topics
1-3 Credit Hours: Recent developments in industrial engineering including new areas of application, new research techniques and new methodologies.
Repeatability: May be repeated. Maximum 6 hours.
Registration Restriction(s): Minimum student level – junior.