Course Description

  • Multidiscplinary Artificial Intelligence
  • Fall 2020
  • Fall 2019
  • Core course for undergraduates in UESTC

Course Mission

  • To build a bridge to connect:

    • Artificial Intelligence + Science

  • Artificial Intelligence:

    • Machine Learning
    • Deep Learning

  • Science:

    • Natural Science: Mathematics, Physics, Chemistry, Cosmology…
    • Life Science: Healthcare, Drug Discovery…
    • Social Science: Social Network, Social Structure, Policy Making…
    • Management Science: Planning, Scheduling, Optimization, Supply Chain, Organization…

Course Target

  • Expose to Artificial Intelligence techniques:

    • Machine Learning, Deep Learning
    • To know what we have in the toolbox.

  • Expose to the research frontiers of various sciences:

    • Natural Science, Life Science, Social Science, Management Science etc.
    • To understand what’s going on in these fields.

  • Expose to real, latest researches of techniques applied in these sciences

    • Lots of literature would be used and studied
    • How to use techniques to solve the problems in these fields?

Course Instructors

  • Dr. Yong Tang - School of Computer Science and Engineering, School of Economics and Management, UESTC

Teaching Assistants

  • Fall 2020
  • Wei-Jia Wang - School of Information and Software, UESTC
  • Zi-Yang Jia - Department of Computer Science, Rutgers University
  • Bo-Jia Li - School of Professional Study, Columbia University
  • Lin-Jing Zhou - School of Information and Software, UESTC
  • Fall 2019
  • Wei-Jia Wang - School of Information and Software, UESTC
  • Zi-Yang Jia - Department of Computer Science, Rutgers University
  • Bo-Jia Li - School of Professional Study, Columbia University
  • Xiao-Shuai Yang - School of Information and Software, UESTC

Content