UVA CS_4710-002

• Table of Content

Course Description

This course will introduce the fundamental concepts and techniques for building artificial intelligence (AI) systems and how AI is applied to problems. Core material includes state space search, probabilistic reasoning, learning from examples, reinforcement learning, and generative AI. Prerequisite: CS 2150 or CS 3100 with a grade of C- or better.

<aside> 💡 NOTE: CS_4710-002 and CS_4710-001 are sharing the syllabus, homework, mid-term, and final project topic. We will cover the same materials in both classes. Content-wise, there is no difference between the two sections. The main differences are the teaching team and time.

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Time and Location

• TuTh 2:00 - 3:15 pm
• Olsson 120

Teaching Team

• Instructor: Yen-Ling Kuo

  • Email: [email protected]
  • Office Hour: Tuesday 3:30-4:30 pm and by appointment, Olsson 261

• TA: Nusrat Jahan Mozumder

  • Email: [email protected]
  • Office Hour: Thursday 10-11am on Zoom (link on Canvas)

• TA: Xuhui (Joshua) Kang

  • Email: [email protected]
  • Office Hour: Friday 5-6pm, Rice 232 and Zoom (link on Canvas)

• TA: Klaus Peng

  • Email: [email protected]
  • Office Hour: Wednesday 3:30-4:30pm, Rice 232 and Zoom (link on Canvas)

Course Format

The course will be delivered through lectures. In addition to two lectures a week, students will have 5 homework (written + programming), a mid-term exam, and a final project to practice the concepts presented in the lectures.

Final project guidelines

• Topic: AI for Social Good
• Details TBA

Communication

• Canvas: https://canvas.its.virginia.edu/courses/104458
  • Course materials (slides)
• Piazza: https://piazza.com/class/lrh1k8t8ya37z/
  • Announcements, Q&A, Discussions