This course provides fundamental concepts in probability and statistical inference, with application to engineering contexts. Probability topics include counting methods, discrete and continuous random variables, and their associated distributions. Statistical inference topics include sampling distributions, point estimation, confidence intervals and hypothesis testing for single- and two- sample experiments, nonparametric statistics, and goodness-of-fit testing. Excel will be used to demonstrate how to solve some class examples, and you’ll be expected to use Excel to solve some homework problems. The statistical software package R will be introduced to address basic statistics problems and to prepare you for future coursework. Course prerequisites include calculus (differentiation and integration).

Explores and applies advanced techniques for addressing complex decision problems. Focus is on developing and employing problem solving strategies using advanced methods in the context of Data Science and Analytics. Topics include both continuous and combinatorial optimization with an emphasis on traditional techniques such as mathematical programming as well as modern heuristics such as simulated annealing, evolutionary algorithms, and swarm optimization. Students will use programming skills to implement algorithms and solve problems.

This course provides the fundamentals of decision analysis and explores how analyzing risk can be incorporated into good decision making. Normative approaches to making decisions when uncertainty exists are central to this course. Topics covered include structuring decision problems, developing alternatives, single and multiple objectives, utility theory, risk tolerance, data-driven and subjective probability, and psychological pitfalls, among others. Computer programs and graphical tools such as influence diagrams will be discussed. Principles are applied to decisions in engineering, with other potential applications in business, medicine, and public policy, among others.

This course serves as capstone for ISE Online, and will enable the application of the systems engineering process to an industry or academic topic. It will apply knowledge learned throughout the ISE On-line curriculum, exhibit high quality writing skills through the completion of a formal project report, exhibit high quality oral and visual communications skills through the presentation of the project, and provide useful systems engineering insights.

This course will cover the definition and refinement of the system and its elements and discuss all integrated functional and performance requirements. Configuration control and management will be taught with suitable example analysis. System design and development will be taught that integrates the needs of system users, and system elements to meet the operational mission requirements within specified cost and schedule constraints. The interactions among various functions to achieve balanced requirements will be analyzed and discussed with respect to user specifications.

This course will explore modeling to support system requirements, design, analysis, and verification and validation, from conceptual design through development to the other aspects of the entire life cycle. The INCOSE definition of MBSE will be studied beginning with a simplified version of a concept, phenomenon, relationship, structure of a system; representing it graphically, mathematically, or physically; and abstracting reality by eliminating unnecessary components. The objectives of modeling are to aid in decision making, through consideration of behavioral analysis, system architecture, requirement traceability, and performance analysis.

Provides a comprehensive review of the organization and structure of the market for energy assets and commodities: including trading platforms, pricing issues, forecasting, role and linkage with associated futures, forwards and options contracts, “basis” and spreads, hedging strategies, the principles governing the valuation of these “derivative” securities, and the ways in which these securities can be used effectively.

This course describes the use of statistical methods for quality control and improvement in product and process environments, as well as introductory applied probability for component and system reliability. Topics include philosophies of quality management, control chart theory and application, process capability, and performance metrics of reliability. Focus is given to decision making in engineering systems.

This course develops the skills and competencies necessary for planning and controlling projects and understanding interpersonal issues that drive successful project outcomes. This course is divided into three parts: Part I covers the technical dimensions of project management, Part II delves into the sociocultural dimensions of project management, and Part III investigates risk management.

This course is designed to provide a basic introduction to leadership by focusing on what it means to be a good leader. Emphasis in the course is on the practice of leadership. The course will examine topics such as: the nature of leadership, recognizing leadership traits, developing leadership skills, creating a vision, setting the tone, listening to out-group members, handling conflict, overcoming obstacles, and addressing ethics in leadership. Attention will be given to helping students to understand and improve their own leadership performance.

This course provides the fundamentals of decision analysis and explores how analyzing risk can be incorporated into good decision making. Normative approaches to making decisions when uncertainty exists are central to this course. Topics covered include structuring decision problems, developing alternatives, single and multiple objectives, utility theory, risk tolerance, data-driven and subjective probability, and psychological pitfalls, among others. Computer programs and graphical tools such as influence diagrams will be discussed. Principles are applied to decisions in engineering, with other potential applications in business, medicine, and public policy, among others.