Intro to Artificial Intelligence - CS 471

Spring 2025, Senior Year §

Professor Raymond Yeh §

Link Hub

• What is AI
• History of AI
• AI Representation
• Search Problems
• Local Search
• Adversarial Search
• CSP

Course Objectives §

• Teach you key facts and skills
  • Core algorithms/data structures
  • Abstract real problems into prototypical tasks
  • Basic AI techniques for prototypical tasks
• Prepare you for the future
  • Learning about new developments and practical applications in AI
  • Understand what’s easy and what’s difficult to achieve algorithmically

Overall §

General Class Info §

• Tues/Thurs 6-7:15
• Lectures recorded to brightspace
• Edstem used for discussion
• cs.purdue.edu/homes/rayyeh/courses/cs47100/sp2025
  • Contains all the lectures, readings, due dates etc for the semester
• Homework released on mondays, due on later Fridays (a few weeks to do it), gets graded within a week
  • Three days for regrade requests after assignment graded
• if late 10% deduction per day no later than 2 days
• Assignments (40%)
  • Four assignments each 10%
    • Written/math exercises
    • Programming questions in python
  • Submitted via GradeScope
• Closed-Book exams (60%)
  • Midterm and Final each worth 30%
• TA’s and office hours on course website
• S. Russel and P. Norvig (2020). Artificial Intelligence: A Modern Approach. Pearson, 4th ed.
  • Book called AIMA for short, site references based on 4th ed.