Data Analytics for Systems Operations (DASO)
IND E 512: Introduction to Optimization Models
Credits: 3
Presents optimization models that are used in applications such as industrial engineering, production, transportation, financial investment, healthcare systems, and environmental ecology; problems span a variety of continuous and integer optimization models, with discussion of multi-objectives and incorporating randomness into optimization models.
IND E 524: Robust Design for Process Improvement*
Credits: 3, Technical Elective
Introduction to robust design for process improvement; applications of design of experiments for product and process design optimization; experimental design using factorial design and fractional factorial design; robustness in design and quality improvement for complex systems including Taguchi methods and response surface methodology.
*Seminar option: Instead of IND E 524, students can take all three of the following 1-credit seminars: IND E 591, IND E 592, IND E 593.
IND E 527: Data Analytics For Systems Engineering
Credits: 3
Emphasizes data-driven system modeling, including basic statistical learning models, and system modeling and decision-making. Covers experimental design for data collection, tree-based control charts for process monitoring, rule-based decision-making, and diagnosis of root causes as learning problems. Students develop connections between emerging statistical learning techniques with system modeling and optimization methods.
IND E 546: Inferential Data Analysis for Engineers
Credits: 3
Application of statistical methods to analyze transportation systems, with an emphasis on modeling individual behaviors and drawing sound inferences about cause and effect; addresses linear regression and common misuses; generalized linear models including logit and negative binomial; multilevel modeling; matching methods; emphasizes frequentist approaches but introduces Bayesian analysis and extensions of regression modeling to machine learning.
IND E 535: Engineering Simulation
Credits: 3, Culminating Experience
Advanced applications of discrete event, continuous, and combined discrete-continuous simulation modeling, detailed examination of fundamental computer programming concepts underlying the design and development of simulation languages, variance reduction techniques, and output analysis for various engineering, service systems, and manufacturing applications.
IND E 591, 592, and 593: Seminar
Credits: 1 Credit Each
Topics of current interest in industrial engineering.
Systems Engineering Leadership (SEL)
IND E 581: Navigating the Business Environment
Credits: 3
Covers the fundamentals of finance and accounting, marketing, strategy, and business communication as well as the skill of identifying and influencing the key decision maker. Tools and frameworks to apply toward taking project ideas from a rough concept to management approval. Corporate business strategy, fundamentals of marketing, accounting and finance, and project valuation and ROI analysis.
IND E 582: Technical Leadership
Credits: 3
Includes how to motivate, reach consensus, work virtually, recruit, and work with engineers from different cultures. Skills and tools needed to build, lead, and motivate high-performance teams. Personality assessment, communication styles, team composition, negotiation skills, and decision making. Team diversity, virtual teams, teaching and mentoring, and ethical issues.
IND E 583: Decision Analysis Engineering
Credits: 3
Examines multi-criteria decision tools involving qualitative and quantitative methods; covers decision trees, subjective probability, utility and value theories, goals and objectives, risk, optimization, and simulation; includes case studies in decision and systems analysis.
IND E 584: Project Performance*
Credits: 3, Technical Elective
Examines the fundamentals of project performance and application of systems engineering theory, concepts, and tools and techniques to plan, manage, and accomplish organizational objectives in a project framework; also considers the critical roles leadership and team development plays in the successful completion of projects.
*Seminar option: Instead of IND E 584, students can take all three of the following 1-credit seminars: IND E 591, IND E 592, IND E 593.
IND E 587: Technical Entrepreneurship for Systems Engineering
Credits: 3, Culminating Experience
Demonstrates how a well-modeled system can simulate potential operations and outcomes as well as system viability. Topics include: analytical modeling and simulation, value creation and comparative metrics, risk identification and inter- dependent requirements within the system architecture.
IND E 591, 592, and 593: Seminar
Credits: 1 Credit Each
Topics of current interest in industrial engineering.