Courses to take in graduate school

About My Graduate School
  • Degree program: master’s degree
  • Interdisciplinary program: Interdisciplinary Program in Cognitive Science
  • College: College of Humanities
  • University: Seoul National University

2017-2
  1. Seminar in Cognitive Science (Industrial and Applied Artificial Intelligence), Je-Kwang Ryu [CogSci – AI, machine learning]
  2. Deep Learning, Yoon, Sungroh [Optional – AI, machine learning]
  3. Computational Neuroscience, Byoung-Tak Zhang [CogSci preliminary – neuroscience]

2018-1

  1. Issues in Cognitive Science [CogSci]
  2. Computational Linguistics [CogSci preliminary – linguistics]

 

  1. Probabilistic Brain
  2. Topics on Artificial Intelligence by Kang, U
  3. Topics on VLSL (Machine Learning) by Yoon, Sungroh
  4. Advanced Matrix Computation
  5. Genetic Algorithm
  6. Computer Vision
  7. Convex Optimization by 홍성필
  8. Learning From Data

2018-2

  1. Methodology in Cognitive Science [CogSci]
  2. Probabilistic Graphical Models
  3. Artificial Neural Networks
  4. Dissertation Research

2019-1

  1. Probabilistic Brain
  2. Genetic Algorithm
  3. Pattern Recognition
  4. Dissertation Research

Specifically
  1. Probabilistic graphical model
  2. Principles of neuroscience
  3. Deep learning/artificial neural network
  4. Genetic algorithm
  5. Natural language processing
  6. Optimization

Generally
  • Game physics (physical simulation)
  • Machine learning
  • Data visualization
  • Numerical analysis
  • Advanced algorithm
  • Natural language processing
  • Theory of computation

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