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Master of Engineering Program

Master of Engineering Program

Visual Computing and Graphics

Learn more about the EECS MEng program here. 

Requirements: All EECS MEng students should expect to complete four (4) technical courses within the EECS department at the graduate level, the Fung Institute’s engineering leadership curriculum, as well as a capstone project that will be hosted by the EECS department.

2020-2021 Capstone Design Experience

Autonomy (advisor Prof. Allen Yang)

Description – One of the fastest growing industries in the past five years is at the intersection of AI, Robotics, and Computer Vision. In particular, Silicon Valley has become a hotbed for research and commercialization of autonomous driving. Leading logistics and retail corporations have started delivering packages via unmanned aerial vehicles. Collaborative robot arms and legs are being experimented in compliant co-working applications. In this Capstone Design Experience Proposal, we will describe the above related topics under the broad umbrella name of Autonomy. 

Due to the multidisciplinary nature of Autonomy and its emerging markets, we believe prospective MEng applicants will have broad interest in selecting Autonomy curriculum and its capstone project. The FHL Vive Center is proposing a concerted effort by its center members to spearhead the creation of a new Capstone Design Experience at the Fung Institute.

Mandatory Courses:

Fall
Spring
Capstone Project
Fall

EE221A. Linear System Theory
Instructors: Shankar Sastry, Claire Tomlin
Course Link

Spring

ME 131. Vehicle Dynamics and Control
Instructor: Francesco Borrelli
Course Link

Capstone Project

Berkeley Robot Open Autonomous Racing (ROAR) Competition
Advisor: Allen Yang
Project Link

Technical Courses:

At least THREE of your four technical courses should be chosen from the list below. The remaining technical courses should be chosen from your own or another MEng area of concentration within the EECS Department.

Fall 2019
Spring 2020
Fall 2019
  • CS 260A, User Interface Design and Development 
  • CS 289A, Introduction to Machine Learning 
  • CS 294-137, Theory and Applications of Virtual Reality and Immersive Computing 
    • *Req’d technical course if you are part of the AR/VR Capstone Design Experience
  • EE 218A, Introduction to Optical Engineering
  • EECS 227AT, Optimization Models in Engineering

(Updated: 7/10/19)

Spring 2020
  • CS 260A, User Interface Design and Development 
  • CS 289A, Introduction to Machine Learning 
  • CS 267, Parallel Computing
  • CS 280, Computer Vision
  • CS 284A. Foundations of Computer Graphics
  • EECS 227AT, Optimization Models in Engineering
  • EE C227C. Convex Optimization and Approximation

(Updated: 10/7/2019)

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