CS170 - Introduction to Artificial Intelligence

Course Logistics

• Instructor: Ioannis Karamouzas 

• Teaching Assistant: Pratyay Dutta

• Class Schedule: Tuesdays and Thursdays (TR) | 2:00 pm - 3:20 pm

• Location: Humanities and Social Sciences, Room 1503

• Instructor Office Hours: Tuesdays | 4 pm - 5 pm | WCH 325 

• TA Office Hours: Wednesdays |3pm - 4pm|, Thursdays |4pm - 5pm| (WCH 461)

• Platforms: Canvas and Slack. 

• Contact Policy: The best way to contact the staff is via Canvas or Slack. 

Course Overview

This course provides an introduction to fundamental concepts in Artificial Intelligence. For a more detailed description, please refer to the syllabus. Specific topics covered include:

• Uninformed and Informed Search Techniques

• Adversarial Games

• Markov Decision Processes

• Reinforcement Learning

• Constraint Satisfaction Problems

• Modern AI Systems

Requirements and Prerequisites

• Assessment: The class involves programming assignments in Python, homework and in-class quizzes, a midterm, and a final exam. 

• Prerequisites: Success in this course requires Python programming experience and knowledge of basic computer science principles.

Lecture Notes Policy

You are free to use and modify any of my slides for academic and research purposes. However, please, do acknowledge the original sources where appropriate.