GPA: 4.17/4.3

Notable courses included:

• Artificial Intelligence
  • Deep Learning Theory
  • Optimization for Machine Learning
  • Deep Reinforcement Learning
  • Machine Learning for AI

GPA: 3.84/4.3

Credits Taken: 214

Notable courses included:

• Mathematics
  • Introduction to Artificial Intelligence with Mathematics (MAS473)
  • Topics in Mathematics (MAS499)
  • Optimization Theory (MAS374)
  • Neumerical Analysis (MAS565)
  • Introduction to Numerical Analysis (MAS365)
  • Probability Theory (MAS440)
  • Introduction to Partial Differential Equations (MAS440)
  • Lebesgue Integral Theory (MAS441)
  • Complex Variables (MAS341)
  • Topology (MAS331)
  • Matrix Computation and Application (MAS364)
  • Introduction to Differential Geometry (MAS321)
• Computer Science
  • Special Topics in Computer Science (CS499)
  • Special Topics in Computer Science (CS499)
  • Computation Theory (CS422)
  • Interactive Computer Graphics (CS482)
• Others
  • Convex Optimization (IE539)
  • Advanced Engineering Statistics (IE541)
  • Interactive Software Design (ID316)
  • Idea & Expression (ID202)