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
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.
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 528: Predictive Analysis for Systems Engineers
(Formerly IND E 546 Data Analytics for Systems Engineers)
Credits: 3
Focuses on predictive modeling in engineering systems using data-driven methods. Topics include dimensionality reduction, functional data analysis, model selection, and supervised (e.g., kernel methods, Generalized Additive Model, Convolutional Neural Networks, Recurrent Neural Networks) and unsupervised learning. Applications span manufacturing, logistics, healthcare, and transportation. Covers causal inference and time series forecasting.
IND E 535: Engineering Simulation
Credits: 3
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.
Systems Engineering: Design and Analysis (SEDA)»
REQUIRED COURSES
IND E 595: Global Integrated Systems Engineering
Credits: 5 (Part 1) - Required
Systems engineering, including top-down problem solving, decision analysis, and methodologies. Project management models and tools, risk management, and cash flows and costs. Economics and finance, including NPV and IRR, sources of risk, and business profitability and margins.
IND E 595: Global Integrated Systems Engineering
Credits: 4 (Part 2) - Required
Cross-cultural communication skills, effective working relationships, and negotiation. International team building, globalization and managing outsourced projects, organizational structure and change, and virtual employees.
IND E 585: Systems Architecture and Model-Based Systems Engineering
Credits: 3
Introduction to systems architecture through development of system requirements, allocations of functionality and reintegration; utilizes model systems engineering as a graphical, mathematical, and modeling tool for systems analysis. This course will, therefore, naturally serve as the culminating experience for the certificate as it will require the students to apply the systems design and analysis techniques from the other (earlier) courses within an integrated, holistic model of a real world-based system.
CHOOSE ONE OR MORE OF THE FOLLOWING
(Note: completion of the certificate requires only one of the following courses IND E 586, IND E 549, IND E 570)
IND E 586: Systems Engineering Risk: Assessment and Management
Credits: 3
Provide an overall understanding of sources of risk and the resulting risk management techniques in the overall systems engineering (SE) process. Upon completion of the course, students will understand how to identify risks, evaluate the extent of the risk, and implement risk mitigation approaches.
IND E 549: Research Methods in Human Factor
Credits: 3
Includes fundamental guidelines for survey design, controlled experiments, quasi-experimental, and observational studies. Focus on safety, productivity, functionality, and usability. Review of journal articles on research methods and design issues, given functional, psychological, physiological, and environmental constraints.
IND E 570: Supply Chain Systems
Credits: 3
Develops concepts related to the design, evaluation, and performance of supply chain systems through an exploration of contemporary practice and research, focusing on current issues, analytical frameworks, and case studies. Draws from application contexts including retailing, airlines, logistics, and emerging markets like delivery and ride-hailing platforms.
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.
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.