Industrial and Systems Engineering Master of engineering degree

An introductory course in operations research focusing on modeling and optimization techniques used in solving problems encountered in industrial and service systems. Topics include deterministic and stochastic modeling methodologies (e.g., linear and integer programming, Markov chains, and queuing models) in addition to decision analysis and optimization tools. These techniques will be applied to application areas such as production systems, supply chains, logistics, scheduling, healthcare, and service systems. (This course is restricted to students in the ISEE-MS, ISEE-ME. SUSTAIN-MS, SUSTAIN-ME or ENGMGT-ME program.) Lecture 3 (Fall).

This course presents an in-depth study of the primary concepts of experimental design. Its applied approach uses theoretical tools acquired in other mathematics and statistics courses. Emphasis is placed on the role of replication and randomization in experimentation. Numerous designs and design strategies are reviewed and implications on data analysis are discussed. Topics include: consideration of type 1 and type 2 errors in experimentation, sample size determination, completely randomized designs, randomized complete block designs, blocking and confounding in experiments, Latin square and Graeco Latin square designs, general factorial designs, the 2k factorial design system, the 3k factorial design system, fractional factorial designs, Taguchi experimentation. (Prerequisites: ISEE-325 or STAT-252 or MATH-252 or equivalent course or students in ISEE-MS, ISEE-ME, SUSTAIN-MS, SUSTAIN-ME or ENGMGT-ME programs.) Lecture 3 (Spring).

The engineering of a system is focused on the identification of value and the value chain, requirements management and engineering, understanding the limitations of current systems, the development of the overall concept, and continually improving the robustness of the defined solution. EOS I & II is a 2-semester course sequence focused on the creation of systems that generate value for both the customer and the enterprise. Through systematic analysis and synthesis methods, novel solutions to problems are proposed and selected. This first course in the sequence focuses on the definition of the system requirements by systematic analysis of the existing problems, issues and solutions, to create an improved vision for a new system. Based on this new vision, new high-level solutions will be identified and selected for (hypothetical) further development. The focus is to learn systems engineering through a focus on an actual artifact (This course is restricted to students in the ISEE BS/MS, ISEE BS/ME, ISEE-MS, ISEE-ME, SUSTAIN-MS, SUSTAIN-ME, PRODEV-MS, MFLEAD-MS or ENGMGT-ME programs or those with 5th year standing in ISEE-BS or ISEEDU-BS.) Lecture 3 (Fall, Spring).

For the Master of Engineering programs in Industrial and Systems Engineering, Engineering Management, and Sustainable Engineering. Students must investigate a discipline-related topic in a field related to industrial and systems engineering, engineering management, or sustainable engineering. The general intent of the engineering capstone is to demonstrate the students' knowledge of the integrative aspects of a particular area. The capstone should draw upon skills and knowledge acquired in the program. (This course is restricted to students in ISEE-ME, ENGMGT-ME, SUSTAIN-ME or the ISEE BS/ME programs.) Lecture 3 (Fall, Spring).