Programming for Artificial Intelligence (STA3042), Fall 2025.

Lecture Material

• [Lecture 1] Introduction

• [Lecture 2] PythonBasics1 - DataType

• [Lecture 3] PythonBasics2 - Control&Function

• [Lecture 4] PythonBasics3 - Class

• [Lecture 5] PythonBasics4 - Numpy

• [Lecture 6] Machine Learning Basics

• [Lecture 7] Neural Networks

• [Lecture 8] Autoencoder

• [Lecture 9] Convolutional Neural Network (CNN)

• [Lecture 10] Training CNN and CNN Architectures

• [Lecture 11] Variational Autoencoder (VAE)

• [Lecture 12] Team Project - Proposal

• [Lecture 13] Generative Adversarial Network (GAN)

• [Lecture 13-2] Evaluating Generative Models

• [Lecture 14] Recurrent Neural Network

• [Lecture 15] Team Project - Final Presentation