Experiential Learning "Active" learning opportunities

This page collects together all of the “experiences” associated with individual modules.

In this site, experiences represent “active” learning opportunities, as opposed to readings, which represent “passive” learning opportunities. In many courses, readings and experiences together constitute the “assignments”.

Module: Introduction

Introductions

ECE 645 Discord server

13 Jan 12:00 AM

Module: Soft start: Linear methods

Simple Linear Neural Networks

Single Neuron networks, autoencoders

Optional 08 Jan 12:00 AM

Linear Regression: Geometry

Background (lecture from ECE 345)

Optional 08 Jan 12:00 AM

Linear Regression: Regularization

Background (lecture from ECE 345)

10 Jan 12:00 AM

Linear Regression: Classification

Background (lecture from ECE 445)

10 Jan 12:00 AM

Linear methods: overview

Lecture from Jan 15

15 Jan 12:00 AM

Module: Kernel methods

Kernel methods: Lectures

Lectures

29 Jan 12:00 AM

Module: High dimensional Gaussians

High-d Gaussians: Lectures

Lectures

04 Mar 12:00 AM

Module: Large Language Models

NLP: Lectures

Lectures

25 Mar 12:00 AM

Understanding SVD

Singular value decompositions

25 Mar 12:00 AM

Module: Learning Theory

Lectures

Recordings

10 Apr 12:00 AM