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Course Criteria
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4.00 Credits
Role of information systems in organizations. Economic factors and social impact of information systems. Phases to design an information system: systems objectives and criteria establishment, fact investigation and analysis, feasibility study, output-input design, processing design, file and database design, safety and reliability considerations, detailed systems description, programming specifications, testing analysis and design skills will be assigned. A series of cases will be used in developing an information system. SQL will be used to develop data tables and access information. Three lecture hours and one three-hour laboratory. (W) 4.000 Credit hours 3.000 Lecture hours 3.000 Lab hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Indust & Manufac Systems Engin Department Course Attributes: Upper Division
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4.00 Credits
An introduction to database system concepts and techniques. Topics covered include database environments, ER modeling, relational data model, object-oriented database, object-relational database, database design theory and methodologies, database languages, query processing and optimization, concurrency control, database recovery, and database security. 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Internet/E-mail Indust & Manufac Systems Engin Department Course Attributes: Upper Division
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3.00 Credits
The design and construction of compilers and programming systems. Lexical scan; parsing techniques; code generation and optimization. Run-time organization; storage allocation. Applications of formal language theory in compiler design. Translator writing systems; XPL. Three one-hour lectures. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture, Internet/E-mail Indust & Manufac Systems Engin Department Course Attributes: Upper Division
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3.00 Credits
This course introduces digital simulation as a design and modeling tool. The fundamental techniques of constructing a simulation model and evaluating the results are studied. Primarily, the ARENA/SIMAN/CINEMA language is used and several other computer simulation methods are examined. Statistical techniques are used to evaluate system output. Students are asked to select problems of interest and present final project reports. Three lectures and three-hour laboratory. 3.000 Credit hours 2.000 Lecture hours 3.000 Lab hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Indust & Manufac Systems Engin Department Course Attributes: Upper Division
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4.00 Credits
This course introduces digital simulation as a design and modeling tool. The fundamental techniques of constructing a simulation model and evaluating the results are studied. A computer simulation software is used (such as ARENA, ProModel, Witness, Simul8). Topics include random number and random variate generation, input and output data analysis, design of experiments and optimization of simulated systems, verification and validation, discrete and continuous simulation models, comparison of simulation modeling software, and applications of simulation in different industries. Students are asked to select problems of interest and present final project reports. Four lecture hours. (YR) 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Indust & Manufac Systems Engin Department Course Attributes: Upper Division
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3.00 Credits
Hypothesis testing, analysis of variance, and statistical design of experiments. Introduction to Deming's principles and the seven QC tools. Applications of these techniques for process improvement and quality assurance. Three lecture hours. 3.000 Credit hours 3.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Indust & Manufac Systems Engin Department Course Attributes: Upper Division
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4.00 Credits
Review of graphical methods, probability theory and statistics (stem-and-leaf plots, histograms, scatter diagrams, counting methods, axioms of probability, common discrete and continuous probability models, expectation, linear combinations, estimation, sampling distributions, confidence intervals, hypothesis testing, and A vs. B type of experimentation for both unpaired and paired data); introduce quality terminology in manufacturing and service industry contexts, study the theory, design and application of common statistical process control models for variables and attributes; study process capability and gauge and measurement capability methods; study the design and analysis, both graphical and analytic, of statistically designed experiments (one-way completely randomized designs, and randomized, complete block designs); study the application and analysis of two-level, factorial and fractional factorial designs. Learn to apply and interpret analysis of variance to above situations. Extensive analytic homework and applications used throughout course to motivate material. Each student completes an individual project of his/her own design, subject to instructor approval, entailing a modeling application or controlled experiment where the student collects the data. Four hours lecture. (YR) 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Indust & Manufac Systems Engin Department Course Attributes: Upper Division
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3.00 Credits
Analysis, planning and design of physical facilities utilizing operations research, engineering and economic principles. Synthesis of physical plant equipment and man into an integrated system for either service or manufacturing activities. Design of material handling systems. Students are required to select problems of interest and present design project reports. 3.000 Credit hours 2.000 Lecture hours 3.000 Lab hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Indust & Manufac Systems Engin Department Course Attributes: Upper Division
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4.00 Credits
Analysis, planning and design of physical facilities utilizing research, engineering and economic principles. Synthesis of physical equipment and workers into an integrated system for either service or manufacturing activities. Design of material handling and storage systems. Layout of lean manufacturing facilities. Design of atmospheric, electrical, lighting, and life safety systems for a facility. Students are required to select problems of interest and present design project reports. (F) 4.000 Credit hours 4.000 Lecture hours Levels: Undergraduate Schedule Types: Lecture Indust & Manufac Systems Engin Department Course Attributes: Upper Division
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3.00 Credits
Study of concepts involved in forecasting demand, planning, scheduling and controlling production. The application of mathematical programming techniques, stochastic processes, quality assurance and line balancing to the analysis and design of the production systems. Use of the computer programs in the design of production and inventory control systems. Students are asked to select problems of interest and present final project reports. 3.000 Credit hours 2.000 Lecture hours 3.000 Lab hours Levels: Undergraduate Schedule Types: Laboratory, Lecture Indust & Manufac Systems Engin Department Course Attributes: Upper Division
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