Online Learning Course Descriptions
ENMGT 5080: Introduction to Python Basics
Summer, 1 credit
An introduction to the Python programming language focusing on practical coding skills and building strong programing habits. Students will learn how to install and run Python, work with expressions, utilize variables and functions, write conditional statements, design and implement test function, write and visualize loops and learn the basics of programming concepts such as recursion. Applicable to students interested in learning to work with Python or improving basic programming skills, no prior programming experience is required.
ENMGT 5200 Economics of the Energy Transition
Fall, 3 credits
In response to the risks posed by global climate change, many states and countries have set emissions reductions goals necessitating a rapid transition toward zero-carbon energy resources. Achieving these goals entails unprecedented investment in civil infrastructure systems combined with large-scale consumer and industry adoption of clean energy solutions. This course will explore the economic challenges and opportunities associated with this transition, with an emphasis on the electric power sector. The course is broken into two halves. The first focuses on the economic viability of individual projects. The second develops system level models and considers interactions between competing energy sources.
ENMGT 6001 and ENMGT 6002: Residential Intensive 1 and 2
Summer, 1 credit each sessionIn these intensive, residential courses, Engineering Management Master of Engineering students will learn the skills and competencies surrounding forming and leading high velocity teams, including the following topics:
• Assessing your leadership skills
• Learning leadership styles
• Understanding and developing team cultures
• Dealing with team conflict and adversity
• Engaging in negotiations
ENMGT 5900: Project Management
Fall and Spring, 4 credits
Core graduate course in project management for people who will manage technical or engineering projects. Focuses both on the “technical” tools of project management (e.g., methods for planning, scheduling, and control) and the “human” side (e.g., forming a project team, managing performance, resolving conflicts), with somewhat greater emphasis on the latter.
ENMGT 5910: Engineering Management Project
Fall and Spring, 4 credits
As Engineering Managers, you need to embrace both technical and business skills to tackle complex, sociotechnical challenges, while staying on top of the current pace of technological change. In this Engineering Management project course, we are bridging from your coursework to your role as an engineering manager. To get there, you will practice the tools, themes, and techniques learned in your Engineering Management coursework through the scaffolding of a large project. In ENMGT 5910, you will work in teams to participate in a project in collaboration with an industry partner. You will perform an intensive evaluation of some mixture of the technological and management aspects of a major engineering project or system, conducted with a team of students. This project typically incorporates some combination of economic and financial analysis, integration of components into a large-scale system, or technology feasibility.
ENMGT 5920: Product Management
Spring, 3 credits
Product Management is one of the fastest growing careers in engineering and technology-based industries. In this course, you will learn the foundations of product management including (i) preparing for success as a product manager, (ii) identifying and targeting customer needs, (iii) prioritizing your project needs, and (iv) designing, developing, and deploying your product across the product life cycle. Using skills developed through course lectures and discussions, you will complete a project where you will practice the sprint model utilized in most product teams. This course is for students interested in pursuing a career as a product manager in engineering or technology-based companies, learning about the product management competency, or working in a non-traditional tech setting to apply these skills on complex systems.
ENMGT 5930: Data Analytics
Fall, 4 credits
Prerequisites: CEE 3040 or equivalent.
Methods for managing data and transforming data into information. Modeling as a means to synthesize information into knowledge that can form the basis for decisions and actions. Application of statistical methods and optimization to managerial problems in project design, scheduling, operations, forecasting, and resource allocation.
ENMGT 5940: Economics and Finance for Engineering Management
Spring, 4 credits
An engineering case-based exploration of economic models and methods used in analysis, comparisons, and decision making by engineers and engineering teams. Emphasis will be placed not only on the important calculations, but also on understanding, communicating, and recording their findings, related assumptions, risks, external considerations and situational awareness.
ENMGT 5960 Negotiations and Contracts for Engineering Management
Spring, 3 credits
An exploration of negotiation types, skills, and tactics relevant to engineers and engineering managers, and a study in contract types, details, and clauses common to engineering fields. Studies will include human factors and behavior in negotiations, understanding and managing the end game, and legal terminology engineers should know.
ENMGT 5980: Decision Framing and Analytics
Fall, 3 credits
Prerequisite: introduction to probability and statistics course such as CEE 3040, ENGRD 2700, ILRST 2100, BTRY 3010, or AEM 2100.
Framework to structure the way we think about decision situations that are complicated by uncertainty, complexity, and competing objectives. Specific decision analysis concepts and tools, such as decision trees, sensitivity analysis, value of information, and utility theory. Applications to all areas of engineering and life. Includes a group project to analyze a real-world decision.
ENMGT 5990: Contemporary Challenges for Engineering Managers
Fall, 3 credits
This course will focus on major modern challenges faced by Engineering Managers, and how our responses are guided and confined by our value systems, external pressures, and available resources. The topics covered will be of a contemporary nature looking at the factors that have affected managers in the recent five years, and that will affect us in the next five to ten years. Key areas will include Climate Change, Sustainability, Diversity, Remote work forces, Technology Strategy, Data Privacy, Ethics in Global Engineering, and others.
ENMGT 6020 Managing a Culture of Innovation
Fall, 3 credits
Innovation is not just ideas, but getting ideas to measurable impact for your customers or employees. While the word ‘innovation’ is pervasive throughout engineering and business, developing and managing a culture of innovation has only been mastered by a few organizations. In fact, no company has remained on the Dow Jones Industrial Average since its inception. Why? Because implementing a culture of innovation is very difficult and is moored by a lack of understanding of proven innovation strategies, competencies, and tools. In this course, you will learn a systematic approach for developing and managing a culture of innovation. You will learn how to develop an innovation strategy to better meet your organization’s goals and customer needs. In addition, we will take time to dive into innovation competencies, such as design thinking, lean start-up, and making, along with learn several innovation tools including hackathons, open innovation strategies to deliver impact for your customers and organization.
ENMGT 6030 Learning to Lead
Spring, 3 credits
This course is designed for engineers transitioning into their first management experience. It is for individuals who are from one year before to up to five years (-1 to 5 years) into their first management assignment. The course materials will be research and evidence based. Students will learn how to recognize and develop behaviors and actions needed to successfully transform from individual to manager, leverage self and peer coaching to hone their leadership skills, as well as understand the foundational aspects of leveraging diversity and integrity to optimize producing, innovating, creating, and collaborating.
CEE 6065 Special Topics in Transportation: Managing Transportation Systems
Spring, 3 credits
Introduces technological, economic, and social aspects of transportation. Emphasizes design and functioning of transportation systems and their components. Covers supply-demand interactions; systems planning, design, and management; traffic flow, intersection control and network analysis; institutional and energy issues; and environmental impacts. Students will develop understanding of analytical models used for traffic flow, intersection delay, transit line operations and urban transportation planning; of how engineering and economic criteria interact to guide decisions regarding system design and operation; increased awareness of transportation's role with respect to energy usage, environmental quality and the economy; and develop understanding of how transportation systems are financed, the role of public policy, and potential alternative funding methods.
CEE 6095: Independent Study
Students who would like to complete an independent study need to identify a faculty member to oversee the project and agree to provide continuing supervision of the work. An independent study can be for one, two, or three credits and does not count toward program requirements.
To submit an independent study request, work with the faculty advisor to come up with a 30 character or less subtitle that is unique to the project and will appear on the transcript. You must also create a syllabus with a list of deliverables and milestones. These requests are processed by the Undergraduate Coordinator in Civil and Environmental Engineering, and requests are due no later than the last day of the add period of the semester the study will take place.
CEE 6640 Microeconomics of Discrete Choice
Spring, 3 credits
Understanding individual choice behavior is critical for several disciplines that need to account for demand dynamics. Discrete choice models represent the cognitive process of economic decisions and are widely used in transportation analysis, applied economics, marketing, and urban planning. Discrete choice analysis is used to forecast demand under differing pricing and marketing strategies and to determine how much consumers are willing to pay for qualitative improvements. In transportation engineering, these models allow researchers, firms, and policymakers to predict demand for new alternatives and infrastructure (e.g., light rail or a new highway), to analyze the market impact of firm decisions (e.g., merger of two airline companies), to set pricing strategies (e.g., road pricing, toll definition, revenue management), to prioritize research and development decisions (e.g., ultra-low emissions vehicles), as well as to perform cost benefit analyses of transportation projects (e.g., building a new bridge).
CEE 6800 Engineering Smart Cities
Fall, 3 credits
This course prepares students to tackle the technical challenges of designing and operating smart and dynamic infrastructure systems. Students will learn to combine data and models to control overall system performance in the face of uncertainty. The class will focus on smart city infrastructure systems that are self-aware, with continual surveillance of the built and natural environment and an autonomous capacity to control resource allocation. This course will build upon fundamental engineering principles (for systems such as transportation, energy, and water resources) and teach students to employ emerging sensor technologies, accompanying data analytics, resource demand forecasting, and model predictive control theory. Students will learn to couple engineering models of infrastructure with data-driven probabilistic models of resource demand and the approaches to control these integrated hybrid systems for optimal and equitable resource allocation with improved resilience to exogenous disturbances. Finally, the class will explore cases studies in urban flooding, energy supply, transportation and air quality, and water supply.
SYSEN 5740 Design Thinking for Complex Systems
Spring, 2 credits
This course prepares students to tackle the technical challenges of designing and operating smart and dynamic infrastructure systems. Students will learn to combine data and models to control overall system performance in this project-based class; interdisciplinary teams will combine design thinking and systems engineering techniques to define and solve complex systems and organization problems. Throughout the entire design process (from fieldwork to brainstorming, prototyping, and testing) students will benefit from systems engineering tools in capturing and organizing essential information. Direct interaction with real sponsors, stakeholders, and final users is an important part of this class.