IAML-DL: Schedule

Note: Days and times for the live Class, Tutorial and Lab sessions will be shown on the Live Sessions Schedule page on Learn.

Week
start
Study TopicsLab activitySmall group tutorial activityClass meeting
1
13/1

Probability
- math preliminaries
- videos/slides

Thinking about Data
- videos/slides
- quiz
- answers

Lab 0 (self): Intro to Python and ML packages

Lab 1: get started

 Course overview and activities 
Probability Q&A 
Thinking about Data Q&A
2
20/1
Naive Bayes
- videos/slides
- quiz
- answers
Decision Trees
- videos/slides
- quiz
- answers
Lab 1 Collaborate: Data Analysis &Visualisation & Multinomial Naive BayesTutorial 1: get startedNaive Bayes Q&A 
Decision Trees Q&A
3
27/1

Generation
- videos/slides
- quiz
- answers

Evaluation
- videos/slides
- quiz
- answers

Lab 2: get startedTutorial 1: Naive Bayes and Feature EngineeringGeneralisation and Evaluation Q&A
4
3/2

Linear Regression 
- videos/slides
- quiz
- answers

Logistic Regression
- videos/slides
- quiz
- answers

Lab 2 Collaborate: Decision Trees and Linear RegressionTutorial 2: get startedLinear Regression Q&A 
Logistic Regression Q&A 

 
5
10/2

Optimisation and Regularisation 
- videos/slides Optimisation Regularisation
- quiz Optimisation Regularisation
- answers Optimisation Regularisation

Support Vector Machines I & II
- videos/slides
- quiz
- answers

Lab 3: get startedTutorial 2: Decision Trees and Gaussian Naive Bayes Optimisation and Regularisation Q&A 
Support Vector Machines Q&A

FLW

----
6
24/2

Ethics and ML
- videos/slides

Nearest Neighbour Methods
- videos/slides
- quiz
- answers

Lab 3 Collaborate:  SVMs, EvaluationTutorial 3: get startedEthics & ML Q&A 
Nearest Neighbour Q&A 
7
2/3

K-Means 
- videos/slides
- quiz
- answers

Gaussian Mixture Models
- videos/slides
- quiz
- answers

Lab 4: get startedTutorial 3: Logistic RegressionK-Means Q&A 
Gaussian Mixture Models Q&A
8
9/3

Principal Components Analysis 
- videos/slides
- quiz
- answers

Hierarchical Clustering
- videos/slides
- quiz
- answers

Lab 4 Collaborate: Clustering, PCA and EvaluationTutorial 4: get startedPCA Q&A 
Hierarchical Clustering Q&A
9
16/3
Neural Networks
- videos/slides
Lab 5: get startedTutorial 4: SVMs and Gaussian Mixture ModelsNeural Networks Q&A
10
23/3
  Lab 5 self-study: Neural Networks Review and Revision Q&A
Exam

The exam will be sometime during the period shown here.

The exact exam time and date will be published on the date shown here.

The exam date/time is set:
Date: Tuesday, 29th April 2025
Time: 2:30 p.m. to 4:45 p.m.
Duration: 2:15

   

 

 

 

License
All rights reserved The University of Edinburgh