USC-Master-Courses

Upload some of the assignments or projects for record.

2017FALL:

• CSCI 561: Foundations of Artificial Intelligence
  • HW1: Searching algorithms(BFS, DFS, SA) for playing a game alike N-Queens.
  • HW2: Minimax algorithms for playing the Fruit Rage game.
  • HW3: A knowledge base that uses first-order logic and resolution for inference.
• CSCI 571: Web Technologies

2018SPRING:

• CSCI 544: Applied Natural Language Processing
• CSCI 545: Robotics

2018FALL:

• CSCI 567: Machine Learning
  • P1: K nearest neighbor (KNN) and linear regression.
  • P2: Logistic regression and some neural network (mlp, cnn with backprop).
  • P3: Decision trees and boosting (specifically, Adaboost).
  • P4: K means and gaussian mixture models (GMM).
  • P5: Hidden markov model (HMM) and principal component analysis (PCA).