504
Industrial Engineering & Management (IEM)
Industrial Engineering & Management (IEM) IEM 2903 Introduction to Manufacturing and Service Systems Prerequisites: ENGR 1111; MATH 2144. Description: Introduction to definition, design, operation, and improvement of systems that produce goods and services. Case studies featuring classical and contemporary issues in industrial engineering and management. Issues include system effectiveness and efficiency in meeting customer needs, demands and expectations. Introduction to computer-aided tools useful in documentation, analysis, and modeling within contemporary organizations. Credit hours: 3 Contact hours: Lecture: 3
IEM 3503 Engineering Economic Analysis Prerequisites: MATH 2153.
Description: Development and use of time value of money models. Bases for comparison of alternatives, including present worth, annual worth, rate of return and payout period methods. Decision-making among independent, dependent, capital-constrained and unequal-life projects. Replacement, breakeven and minimum cost analyses. Depreciation and depletion methods and their effect on corporate income taxes, leading to after-tax cash flow analysis. Introduction to financial reports. Credit hours: 3 Contact hours: Lecture: 3
Levels: Undergraduate Schedule types: Lecture Department/School: Industrial Engr & Mgmt IEM 3513 Economic Decision Analysis Prerequisites: MATH 2123.
Levels: Undergraduate Schedule types: Lecture Department/School: Industrial Engr & Mgmt IEM 3103 Probability and Statistics for Engineers I Prerequisites: MATH 2153.
Description: Quantitative evaluation of investment alternatives for non- engineering majors. The role of interest in economic equivalence and in formulating economic comparisons based on present worth, annual equivalent, rate of return and payout criteria. Accounting, depreciation and income tax considerations. Benefit-cost and cost-effectiveness analysis. Cost estimation and allowance for variance in estimates. Not available for credit in industrial engineering curriculum. Credit hours: 3 Contact hours: Lecture: 3 Levels: Undergraduate Schedule types: Lecture Department/School: Industrial Engr & Mgmt IEM 3523 Engineering Cost Information and Control Systems Prerequisites: MATH 2144. Description: Introduction to basic accounting concepts and operating characteristics of accounting systems relevant to engineering analysis and decision making. Principles of financial and managerial accounting, activity based costing, taxes and depreciation. Emphasis on interpretation and use of accounting information for decision-making. Credit hours: 3 Contact hours: Lecture: 3
Description: An introduction to key concepts and results in probability, random variables, discrete and continuous distributions, mathematical expectations, and joint probability distributions that support applications in industrial engineering and management. Credit hours: 3 Contact hours: Lecture: 3
Levels: Undergraduate Schedule types: Lecture Department/School: Industrial Engr & Mgmt IEM 3303 Manufacturing Processes Prerequisites: ENGR 1322 and ENSC 3313.
Description: Manufacturing processes used to transform new materials including metals and non-metals into finished goods. Traditional and nontraditional manufacturing processes. Introduction to CAD/CAM. Basic process selection. Metrology and measurement fundamentals. Credit hours: 3 Contact hours: Lecture: 2 Lab: 3 Levels: Undergraduate Schedule types: Lab, Lecture, Combined lecture and lab Department/School: Industrial Engr & Mgmt IEM 3403 Collaborative Engineering Project Management Prerequisites: Junior standing. Description: Engineering management and group issues involved in project planning, implementation and topics addressed include project management methodologies and software; teamwork structures, processes, and collaborative technologies; process management, leadership and other team roles. Credit hours: 3 Contact hours: Lecture: 3
Levels: Undergraduate Schedule types: Lecture Department/School: Industrial Engr & Mgmt IEM 3703 Probability and Statistics for Engineers II Prerequisites: IEM 3103.
Description: An introduction to key concepts and results in statistics, including confidence intervals and hypothesis tests for the mean and the variance, analysis of variance, linear regression, correlation, goodness of fit tests and categorical data analysis that support applications in industrial engineering and management. Credit hours: 3 Contact hours: Lecture: 3
Levels: Undergraduate Schedule types: Lecture Department/School: Industrial Engr & Mgmt
Levels: Undergraduate Schedule types: Lecture Department/School: Industrial Engr & Mgmt
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