2022F-CS303 Artificial Intelligence

This repository contains all the 2022 Fall CS303 AI Lab practices and projects.

Use as archive, ONLY REFERENCE, DO NOT COPY DIRECTLY.

Final Official Score (总评): 92 (Lab Practice:10% + Project: 40% + Final Exam: 50%)

Lecturer: Prof. Yuan Bo

Lab Instructor: Ms. Zhao Yao

Practice 1: Introduction, 3 relatively easy problem

Practice 2: Learn numpy

Practice 3: DFS, BFS, UCS

Practice 4: A* and GBFS (Greedy best first search)

Practice 5: Adversarial search (tic-tac-toe game, $\alpha-\beta$ pruning)

Practice 6: CSP (Constraint satisfaction problem, implement by n-queen problem)

Practice 7: Genetic Algorithm (String summon, n-queen problem)

Practice 8: Min-conflict (n-queen problem)

Practice 9: Logistic Regression

Practice 10: ANN

In 2022 Fall semester, three near-industrial projects (40%) are included in CS303 AI course:

Project 1: Reversed Reversi (15%)

Code score: 88/100

Phase 1(Usability Test): 100/100

Phase 2(based on round robin ranking): 76/100 (Rank:141 Win:202 Loss:255)

Project 2: Capacitated Arc Routing Problem (CARP) (15%)

Code score: 92/100 (Rank ~25th)

Project 3: Trajectory Design Game, related to machine learning (10%)

Code score: 108/100 (score: 53.35 for final 1000 round test)

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
AI-Project3		AI-Project3
CARP		CARP
LogicCode		LogicCode
Practice1(DDL925)		Practice1(DDL925)
Practice2(DDL930)		Practice2(DDL930)
Practice3(DDL1007)		Practice3(DDL1007)
Practice5(DDL1021)		Practice5(DDL1021)
Practice6(DDL1028and1104)		Practice6(DDL1028and1104)
Practice7(DDL1111)		Practice7(DDL1111)
Practice8(DDL1202)		Practice8(DDL1202)
Practice_ANN(DDL1230)		Practice_ANN(DDL1230)
Practice_LogisticRegression(DDL1209)		Practice_LogisticRegression(DDL1209)
Project1(DDLPhase11014Phase21028)		Project1(DDLPhase11014Phase21028)
LICENSE		LICENSE
README.md		README.md
learnnumpy.ipynb		learnnumpy.ipynb
learnpython.py		learnpython.py

TonyZhang14242/CS303-AI-Lab