The Visual Analytics and Computing track is introduced for students who wish to develop skills in developing systems to handle visual data, mainly images, videos, and shapes. The subjects in this track will prepare the students to gain the fundamental knowledge in acquiring, analysing, synthesising and rendering visual data by making use of computers. The aim of this track is to train the students for careers in a wide range of industries that are adopting visual data analytics and computing.
Track Core Courses
- 50.006 User Interface Design and Implementation (Term 7)
- 50.035 Computer Vision (Term 7) OR 50.039 Theory and Practice of Deep Learning (Term 7). Choose One.
- 50.017 Graphics and Visualization (Term 8)
Track Electives from ISTD
- Any ISTD electives listed here.
Core courses and TAEs (except 01.110 Computational Fabrication, 01.116 AI for Healthcare, 01.117 Brain-Inspired Computing and its Applications) are not recognised as track electives. If unsure, please check with the pillar.
(A student who intends to sign up for courses offered by other pillars is required to inform the ISTD Pillar his/her plan one term ahead.)