In certain semesters, select courses (noted by an asterisk below) can also be attended in-person at our South Metro Denver location. See specific course description for details.
Course topics include balancing project stakeholder requirements for scope, time, cost, quality, risk, and human factors. The course emphasizes the Project Management Institute's (PMI®) body of knowledge and considers PMP/CAPM professional certifications. You can participate via live web conferencing or view the recorded session at your convenience. In addition, online students may occasionally attend on-campus classes in Fort Collins, but we ask that you let us know ahead of time to ensure your attendance isn't during an exam or other prohibitive activity.
This course covers methods for all phases of software development focusing on the establishment of economical software that is reliable and cross platform compatible. You can participate via live web conferencing or view the recorded session at your convenience. I
In this class, an applied examination of project management is conducted with an emphasis on preparing for and completing PMI certification. The focus is on the Project Management Body of Knowledge (PMBOK® Guide). This course aims to prepare you to test for either Certified Associate in Project Management (CAPM®) or Project Management Professional (PMP®).
This course provides an introduction to the structure and techniques (tools) of market operations in deregulated electric power systems. The emphasis of the course is on topics related to: participants in electric power markets; system security; investments in generation and transmission; auctions; ancillary services; and congestion management.
Energy conversion; fuel cell, battery storage, solar-photovoltaic, wind energy and traditional rotating-magnetic-field based machines.
Energy systems: renewable and traditional. Physics and operation of energy devices; solar-photovoltaic, wind energy, gas, coal and nuclear plants.
ECE 621 – Energy Storage for Electrical Power Systems
Theory and practice of electrical, mechanical, thermal and novel energy storage systems/devices.
Energy networks: generation, storage, consumers. Systems approach to analysis of distribution networks and transition to intelligent grid systems.
The Foundations of Systems Engineering course is an introductory overview of the systems engineering perspective and is presented to set the conceptual and practical framework of the entire systems engineering graduate program. The course covers the foundational components of systems engineering, the concept development stage every viable system must go through, and the process steps of the engineering development stage. Several issues related to post-development and special topics areas are presented.
Engineering program management fundamentals, program planning and control strategies, risk assessment, work breakdown structures and costing options.
Optimization methods; linear programming, simplex algorithm, duality, sensitivity analysis, minimal cost network flows, transportation problems.
This course provides an introduction to engineering decision support systems, normative vs. descriptive approaches in decision analysis. Basic concepts include multiobjective analysis, multicriteria decision making.
This course helps students develop a conceptual understanding of the systems engineering life-cycle process and familiarity with analysis techniques used in that process. It also introduces concepts of reliability and robustness, and rigorous tools for analysis and design with them in mind. The course utilizes real-world experience and case studies of working with a system through all phases of the system design process.
Successful engineering project management includes estimation and proactive risk identification and development of mitigation techniques. System uncertainty is reduced when project risks are identified, quantified, and mitigation strategies implemented. Tools, techniques, and methodologies used by successful project managers will be examined. You can participate via live web conferencing or view the recorded session at your convenience. In addition, you have the option to attend on-campus sections in Fort Collins during the fall semester.
This course deals with understanding the higher-level behavior and issues that emerge from interaction between components in complex socio-technical systems. The course emphasizes system thinking, dynamic cause and effect relationships, and the higher-level emergent behavior that results from the interaction of many smaller effects that are individually well understood, but more difficult to grasp at a higher level.
Analysis of power systems in terms of current, voltage, and active/reactive power; introduction of computer-aided tools for power systems.
Observation/classification of systems architecture. Systems architecture principles and critical evaluation through design studies.
Cybersecurity principles, practices, technologies, design approaches, and terminology. Incorporation of cybersecurity principles into effective systems designs. This course is directed to System Engineers and other technical personnel with a need to understand cybersecurity in order to integrate it into a balanced system design.
Coupled electrical and mechanical systems and the analysis of energy transfer between these systems. Analysis of field energy and the relationship between electrical, mechanical and electromagnetic forces. Analysis and design of linear motors, servo-motors, DC and motors are presented. Other topics include inductively coupled charging circuits and vibrational modes that can arise between coupled electrical and mechanical systems. Graduate standing.
This course requires students to complete a systems engineering project, with a formal report on the results. A broad scope of projects may be considered, including design in hardware and/or software, a virtual project, or an analysis/feasibility study. The project should consider the full system life cycle, and take a systems engineering approach to analysis and/or design.
Introduction to the rigorous requirements process within systems engineering, including system requirements analysis, requirements decomposition, allocation, tracking, verification, and validation.
This course will introduce fundamental concepts of integrated modeling, simulation, and experimentation as a component of the systems engineering process. You will learn practical processes for improving the defensibility, cost and capabilities of your simulations. This course places emphases on verification and validation of computational models, on quantification and propagation of uncertainty, on multi-disciplinary analysis and optimization, and on synthesis and decision making. We will use tools including MATLAB, Excel, ModelCenter, Simulink and SimEvents to model in a variety of engineering applications and domains. With semi-weekly homework and mid-term and final projects, this course will build engineering students’ capabilities to perform scientific and engineering computing for the purposes of design, research and decision support.