Industrial Engineering (ENGI)

Industrial Engineering (ENGI)

ENGI 220  Engineering Economy  3 Credit Hour(s)  

Prerequisite: MATH 131 or MATH 126 or ENGR 131

Introduction to the principles of time value of money, analysis of investments, break-even concepts, risk analysis, alternatives analysis, tax implications, certainty and uncertainty.

Offered: Resident

ENGI 230  Production Systems  3 Credit Hour(s)  

Prerequisite: ENGR 110 and CSIS 111

Introduction to manufacturing and production processes. Topics include production process as a human/machine system, planning, organizing, designing, and operating production systems.

Offered: Resident

ENGI 299  Internship  0 Credit Hour(s)  

Placement in a manufacturing plant, hospital, library, police department, or similar location, or related organization for a controlled learning experience within the student's career specialization area. Application procedures processed through the Career Center. Must apply semester prior to internship.

Registration Restrictions: Sophomore status, 2.00 GPA, two courses in major, declared major, not more than one CSER behind

Offered: Resident

ENGI 300  Enterprise Forecasting  3 Credit Hour(s)  

Prerequisite: (MATH 121 and MATH 201 or BUSI 230) or ENGR 210

Advanced forecasting and data modeling methods and techniques.

Offered: Resident

ENGI 305  Data Analysis Methods and Modeling  3 Credit Hour(s)  

Prerequisite: ENGR 210

Revealing business and economic patterns and information hidden in data by transforming data using algebraic and statistical methods.

Offered: Resident

ENGI 330  Facilities Design  3 Credit Hour(s)  

Prerequisite: ENGI 230

Introduction to the design, analysis and selection of manufacturing facilities and material handling equipment. Topics include integration of computer systems, material flow and storage, and economic implications.

Offered: Resident

ENGI 340  Introduction to Operations Research: Deterministic Models  3 Credit Hour(s)  

Prerequisite: MATH 321 (may be taken concurrently) or MATH 221 (may be taken concurrently)

Introduction to basic principles and application of deterministic analytical methods. Topics include linear programming, integer programming, dynamic programming and nonlinear optimization.

Offered: Resident

ENGI 350  Introduction to Operations Research: Probabilistic Models  3 Credit Hour(s)  

Prerequisite: ENGI 340 and ENGR 210 and CSIS 111

Introduction to decision-making modeling and analysis subject to randomness, uncertainty, and risk. Topics include stochastic dynamic programming, Markov chains, and queuing theory.

Offered: Resident

ENGI 360  Engineering Information Systems  3 Credit Hour(s)  

Prerequisite: ENGR 110 or CSCI 110 or CSIS 110

Introduction to information systems used in the analysis, design, and management of complex engineering projects. Topics include identifying potential data anomalies and methods for ameliorating these problems.

Offered: Resident

ENGI 420  Advanced Data Analysis and Machine Learning  3 Credit Hour(s)  

Prerequisite: (ENGR 210 or MATH 211) and (MATH 221 or MATH 321) and (ENGR 133 or MATH 133)

Machine learning introduces the methods that are used to provide computers the ability to perform various levels of artificial intelligence (AI) with the ability to learn without being explicitly programmed. Machine learning focuses on the development of computer programs and algorithms as well as the underlying data requirements that can enable computers to teach themselves, self-organize objects, and to grow or change when exposed to new data or sensory information.

Offered: Resident

ENGI 430  Decision Analysis  3 Credit Hour(s)  

Prerequisite: ENGI 220 and ENGI 350 (may be taken concurrently)

A first course in decision analysis that extends the domain of decision-making problems from those considered in traditional statistical hypothesis testing scenarios: modeling decisions, where the emphasis is on structuring decision problems using techniques such as influence diagrams and decision trees, modeling uncertainty, which covers subjective probability assessment, use of classical probability models, Bayesian analysis, and value of information, and modeling preferences, which introduces concepts of risk preference, expected utility, and multi-attribute value and utility models.

Offered: Resident

ENGI 450  Human Factors and Ergonomics  3 Credit Hour(s)  

Prerequisite: ENGI 330

Human biological and psychological capabilities and limitations in the industrial setting. Topics include techniques and methods for applying the principles of human factors engineering and ergonomics to systems design.

Offered: Resident

ENGI 460  Digital Simulation  3 Credit Hour(s)  

Prerequisite: MATH 334

Introduction to the structure, logic and methodologies of systems simulation. Topics include the generation of random numbers, simulation languages, and simulation models and analysis.

Offered: Resident

ENGI 497  Special Topics in Industrial and Systems Engineering  1-4 Credit Hour(s)  

Selected topics in various areas of Industrial and Systems Engineering. May be repeated for credit when topic varies.

Offered: Resident

ENGI 499  ISE Internship  1-6 Credit Hour(s)  

Placement in a manufacturing plant, hospital, library, police department, or similar location or related organization for a controlled learning experience within the student's career specialization area. Applications are processed through the department Faculty Intern Advisor. Applicants must apply the semester prior to starting the internship.

Registration Restrictions: Junior or Senior status

Offered: Resident

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