Merge pull request #46 from tristan-myles/main

Reduces programme further

content/ms_ml_short_course/programme/_index.md

@@ -16,54 +16,34 @@
 <img src="../resources/ammi.png" width="200" style="display:inline-block;margin:-3px"/>
 </center>
 
-# Full programme
+# Course programme
 
 #### 24 March, Day 1
-***Refresher***
-1. Recap python basics and Bayesian inference
-
-2. Lecture: Statistical learning
-
-3. Lecture: Intro to Stan
-
-4. Hands-on: Introduction to statistical learning with Stan in python
+***Intro to Stan***
+- Recap: python basics and Bayesian inference
+- Statistical learning with Stan
 
 #### 25 March, Day 2
-***Scalable Gaussian process regression models in Stan***
-1. Lecture: Intro to Gaussian processes
-
-2. Lecture/hands-on: Scalable Gaussian process regression models in Stan
-
-3. Hands-on: Scalable Gaussian process regression models
-
-4. Inspirational Lecture: Two research talks from the Machine Learning and Global Health Network
+***Scalable Gaussian process regression models***
+- Intro to Gaussian processes
+- Scalable Gaussian process regression models in Stan
+- Insight into the application of methods with research talks from the Machine Learning and Global Health Network
 
 #### 26 March, Day 3
-***Gaussian processes continued***
-1. Lecture/Hands-on: Scalable Gaussian process regression models
-
-2. Group project analysing real-world datasets e.g. of Malaria cases, HIV drug resistance
-
-3. Groups present
+***Application of methods to real-world data***
+- Synthesising material with a group project analysing real-world datasets from Africa
+- Communicating findings and sharing insights with peers through group presentations
 
 #### 27 March, Day 4
-***Infectious Disease Modelling with Stan***
-1. Lecture: Introduction to Infectious Disease Modelling and Compartmental Modelling
-
-2. Practical: Deriving simple SIR type models with pen and paper
-
-3. Practical: SIR models in Stan
+***Infectious Disease Modelling***
+- Introduction to Infectious Disease Modelling and Compartmental Modelling
+- Implementing SIR compartmental models in Stan
+- Research talks on work happening in South Africa in Statistics, Machine Learning, and population health
 
-4. Inspirational Lecture: Local research talks
 
 #### 28 March, Day 5
 ***Phylogenetics***
-1. Lecture: Introduction to phylogenetics
-
-2. Practical: Running a phylogenetic pipeline
-
-3. Guided practical: More phylogenetics
-
-4. Introduction to take-home assignment
+- Introduction to phylogenetics
+- Running a phylogenetic pipeline
+- Social event to celebrate the end of the course
 
-5. Social: BBQ or similar