Teaching

COMPSCI
713

Artificial Intelligence Fundamentals, University of Auckland, Semester 1 2024.

Lecture materials, slides, and assessment resources collected in the same editorial language as the homepage.

Overview

Course Material

This page collects the lecture slides and assessment material for COMPSCI 713. The original course page used an older template; this version keeps the content but aligns it with the editorial presentation of the homepage.

Videos are managed separately by the University of Auckland. Where a public video link is not listed below, the slide deck remains available.

At a Glance

Lectures

Slides & Videos

Lecture 1

Symbolic Logic

Video managed externallySlides
Lecture 2

Logic: Case Study

Video managed externallySlides
Lecture 3

Markov Decision Processes and Reinforcement Learning

Video managed externallySlides
Lecture 4

Monte-Carlo Methods and Temporal Difference Learning

Video managed externallySlides
Lecture 5

Deep Reinforcement Learning

Video managed externallySlides
Lecture 6

Large Language Models

Video managed externallySlides
Lecture 7

Case Study: FunSearch

Video managed externallySlides

Assessment

Assignments & Exam

Sample Examination Questions

Representative exam material for revision and preparation.

Notes

Usage & Copyright

Video access

Video lectures are managed by the University of Auckland, where copyright applies.

Shared folder

All of the above material can be viewed collectively in this folder.

License and attribution

All material is made available under CC-BY-NC 4.0. Some reinforcement learning slides adapt content from David Silver's lectures. Some third-party content may not be included in the license.