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.
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.
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.
- 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