Skip to content Skip to navigation

Courses

  • Review of root-locus and frequency response techniques for control system analysis and synthesis. State-space techniques for modeling, full-state feedback regulator design, pole placement, and observer design. Combined observer and regulator design. Lab experiments on computers connected to mechanical systems. Prerequisites: 105, MATH 103, 113. Recommended: Matlab.

  • Design of linear feedback control systems for command-following error, stability, and dynamic response specifications. Root-locus and frequency response design techniques. Examples from a variety of fields. Some use of computer aided design with MATLAB. Prerequisites: Dynamics systems (EE 102B or ME 161), and ordinary differential equations (CME 102 or Math 53). This course will include...

  • Be part of a unique course about extreme energy efficiency and integrative design! We will meet once a week throughout the quarter. E^3 will focus on efficiency techniques' design, performance, integration, barrier-busting, profitable business-led implementation, and implications for energy supply, competitive success, environment, development, security, etc. Examples will span very diverse...

  • Be part of a unique course about extreme energy efficiency and integrative design! We will meet once a week throughout the quarter. E^3 will focus on efficiency techniques' design, performance, integration, barrier-busting, profitable business-led implementation, and implications for energy supply, competitive success, environment, development, security, etc. Examples will span very diverse...

  • Transportation accounts for nearly one-third of American energy use and greenhouse gas emissions and three-quarters of American oil consumption. It has crucial impacts on climate change, air pollution, resource depletion, and national security. Students wishing to address these issues reconsider how we move, finding sustainable transportation solutions. An introduction to the issue, covering...

  • (Formerly 223B) An introduction to the concepts and applications in computer vision. Topics include: cameras and projection models, low-level image processing methods such as filtering and edge detection; mid-level vision topics such as segmentation and clustering; shape reconstruction from stereo, as well as high-level vision tasks such as object recognition, scene recognition, face detection...

  • Analysis and design techniques for multivariable feedback systems. State-space concepts, observability, controllability, eigenvalues, eigenvectors, stability, and canonical representations. Approaches for robust feedback control design, chiefly H2, H-infinity, and mu-synthesis. System identification and adaptive control design. Use of computer-aided design with MATLAB. Prerequisite: ENGR 105,...

  • Visual computing tasks such as computational photography, image/video understanding, and real-time 3D graphics are key responsibilities of modern computer systems ranging from sensor-rich smart phones, autonomous robots, and large data centers. These workloads demand exceptional system efficiency and this course examines the key ideas, techniques, and challenges associated with the design of...

  • Energy is the number one contributor to climate change and has significant consequences for our society, political system, economy, and environment. Energy is also a fundamental driver of human development and opportunity. Students will learn the fundamentals of each energy resource -- including significance and potential, drivers and barriers, policy and regulation, and social, economic, and...

  • Energy is the number one contributor to climate change and has significant consequences for our society, political system, economy, and environment. Energy is also a fundamental driver of human development and opportunity. In taking this course, students will not only understand the fundamentals of each energy resource -- including significance and potential, conversion processes and...

Pages