📘 Course Overview:
This repository contains my coursework (assignments, & semester exams) for the Artificial Intelligence course at IIIT Delhi in Monsoon 2024.
This course covers search techniques, knowledge representation, reasoning, and learning. Topics include propositional and first-order predicate logic, automated planning, uncertainty modeling (Bayesian networks), and an introduction to machine learning (decision trees, bias-variance tradeoff, and evaluation metrics).
📂 Folder Structure:
/Assignment 1: Implemented search algorithms on the IIITD campus map./Assignment 2: Applied knowledge representation, reasoning, and planning to Delhi’s GTFS transit data./Assignment 3: Modeled uncertainty using Bayesian networks, HMMs, and Kalman filtering for bus routes and Roomba path tracking./Assignment 4: Built a decision tree model for house price prediction./Quizzes: Contains materials related to the quizzes./Midsem: Contains materials related to the midterm examination./Endsem: Contains materials related to the endterm examination.
📅 Semester: 5th Semester (3rd Year)
📚 Course Details:
Instructor's name - Saket Anand (anands@iiitd.ac.in)
Course Code - CSE643
📌 Important: Please make sure to follow the guidelines and policies outlined by the institution regarding the use of shared coursework materials. Use this repository responsibly and avoid any violations of academic integrity. Codes are provided for reference purposes only. It's recommended to understand the codes and implement them independently.