AI Prof. Chizhi Chris Zhang | Course Materials
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Spring 2026

Artificial Intelligence and Neural Networks

This page provides the course overview and direct access to lecture-note PDFs. Students can use the materials below for lecture preparation, review, and revision throughout the semester.

Course Focus
One integrated course covering AI foundations together with neural-network methods.
Course Structure
Two connected parts: Artificial Intelligence and Neural Networks.
For Students
Download the relevant lecture PDF and follow the sequence of the course materials below.

One course linking intelligent systems and learning methods.

The course introduces major concepts in artificial intelligence together with foundational neural-network methods used in modern prediction and decision systems.

Two parts within the same course.

  • Part I. Artificial Intelligence: intelligent agents, search, representation, and reasoning.
  • Part II. Neural Networks: neural models, training ideas, and data-driven prediction methods.

Download Lecture Notes

The lecture notes below belong to the same AINN course and are organised by teaching part.

Artificial Intelligence

Lecture notes for the first part of the AINN course.

AI Lecture 01
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AI Lecture 02
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AI Lecture 03
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AI Lecture 04
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AI Lecture 05
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AI Lecture 06
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AI Lecture 07
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AI Lecture 08
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AI Lecture 09
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AI Lecture 10
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Neural Networks

Lecture notes for the second part of the AINN course.

NN Lecture 01
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NN Lecture 02
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NN Lecture 03
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NN Lecture 04
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NN Lecture 05
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NN Lecture 06
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NN Lecture 07
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NN Lecture 08
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NN Lecture 09
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NN Lecture 10
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