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CPS Education

Undergraduate and graduate education specializing in Cyber Physical Systems.

The Link Lab aggressively supports state-of-the-art education in Cyber Physical Systems (CPS). The current course offerings specifically related to CPS are listed below with a link to their syllabus. The Lab is also actively developing a complete Masters program in CPS. The need for such a program has been highlighted in a National Academies Study on a 21st Century Cyber Physical Systems Education Report.

For the full report see: "A 21st Century Cyber-Physical Systems Education" - John A. Stankovic, James W. Sturges, and Jon Eisenberg.

NSF Graduate Fellowships now available in CPS!

The Link Lab is seeking graduate students interested in Cyber Physical Systems to join its new NSF funded NRT Program. For more details and to apply for the fellowship please click here.

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Civil and Environmental Engineering

CE 6230 Hydrology - J. Goodall

Stresses the quantitative description and the physical basis of hydrology. Both deterministic and stochastic methodology are applied to the analysis of the hydrologic cycle, namely, precipitation, evaporation, overland flow and stream flow, infiltration, and groundwater flow. The use of compute simulation models, especially microcomputer based models, is emphasized.

CE 6500 Transportation Sustainability - B. Smith
Computer Science

CS 4501 Smart Worlds - J. Stankovic

CS 4501 Smart Homes, Phones, & Beyond - J. Stankovic

CS 4740 Cloud Computing - Haiying Shen

CS 6501 - 013 / SYS 6581 – 005: Principles of Modeling for Cyber-Physical Systems - Madhur Behl

View lectures from this class here

CS 6501 Cyber Physical Systems - J. Stankovic

CS 6501: Model-based Design of Cyber-Physical Systems - Lu Feng

CS 6501: Topics in Wireless Networking - K. Whitehouse

CS 21823 Mobile Security - Yuan Tian
Electrical and Computer Engineering

ECE/CS 4434/6434 - SYS 4582/6582: Dependable Computing Systems (Spring) - Homa Alemzadeh

ECE 4501/6501: Advanced Embedded Systems (Fall) - Homa Alemzadeh

ECE 6501 Autonomous Mobile Robots - N. Bezzo

The objective of this course is to provide the basic concepts and algorithms required to develop mobile robots that act autonomously in complex environments. The main emphasis is put on mobile robot locomotion and kinematics, control, sensing, localization, mapping, path planning, and motion planning

ECE 6501 IoT Sensors and Systems - B. Campbell

ECE 6502 Cooperative Autonomous Systems - L. Barnes

ECE 6502 Inference Methods - F. Farnoud

In this course, we focus on statistical inference techniques and their applications. Inference allows us to learn about unobserved quantities from observed data based on a probability model. For example, we can infer the evolutionary relationships between organisms based on their genomic sequence data and a probability model of evolutionary changes.

ECE 6550 Mobile Robotics Lab - N. Bezzo

Learn about ROS (Robot Operating System) and the basics of practical mobile robotics using the turtlebot ground vehicle and the crazyflie drone. NOTE: This is a 1.5 credits non-graded class.
Mechanical Engineering

Coming Soon
Systems and Information Engineering

Coming Soon

January 18 ESE Colloquium - Sha Yu
January 18 BME Seminar - Atul Butte, MD/PhD (UCSF)
January 18 Medical Device Innovation Meeting Guest Speaker: Dr. John "Fritz" Angle