From a37adea71879085d1820d6aaddf3ae5702a40ece Mon Sep 17 00:00:00 2001 From: tristan-myles Date: Tue, 17 Dec 2024 11:18:34 +0000 Subject: [PATCH] Reduces programme further --- .../ms_ml_short_course/programme/_index.md | 56 ++++++------------- 1 file changed, 18 insertions(+), 38 deletions(-) diff --git a/content/ms_ml_short_course/programme/_index.md b/content/ms_ml_short_course/programme/_index.md index ea36ee62c6..7acab5f0d2 100644 --- a/content/ms_ml_short_course/programme/_index.md +++ b/content/ms_ml_short_course/programme/_index.md @@ -16,54 +16,34 @@ -# 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