diff --git a/index.html b/index.html
index 65ad073..b9a83a3 100644
--- a/index.html
+++ b/index.html
@@ -91,13 +91,33 @@ <h2 class="anchored" data-anchor-id="learning-objectives">Learning Objectives</h
 <section id="course-schedule-subject-to-change" class="level2">
 <h2 class="anchored" data-anchor-id="course-schedule-subject-to-change">Course Schedule (subject to change)</h2>
 <ul>
-<li><p>9:00 AM - 10:30 AM: Introduction to Infectious Disease Modeling (1 hour 30 mins)</p>
+<li><p>9:00 AM - 10:30 AM: Overview of Infectious Disease Modelling (1 hour 30 mins)</p>
 <ul>
-<li>Overview of infectious disease dynamics</li>
-<li>Introduction to mathematical modelling in epidemiology</li>
-<li>Basics of compartmental modelling (SIR models)</li>
+<li>Introduction to mathematical modelling in epidemiology
+<ul>
+<li>What are infectious disease (mathematical and statistical) models?</li>
+<li>The role of models in public health decision-making</li>
+<li>Types of models:
+<ul>
+<li>deterministic vs.&nbsp;stochastic</li>
+<li>individual-based vs.&nbsp;population-based</li>
+<li>compartmental vs.&nbsp;network models</li>
+</ul></li>
+</ul></li>
+<li>Introduction to deterministic compartmental modelling
+<ul>
+<li>The general compartmental model framework
+<ul>
+<li>Adding compartments: susceptible, infected, and recovered</li>
+<li>Incorporating disease transmission and recovery processes</li>
+</ul></li>
+<li>Overview of the SIR model:
+<ul>
+<li>structure and assumptions</li>
+</ul></li>
 <li>Understanding model parameters: rates, proportions, and probabilities</li>
 </ul></li>
+</ul></li>
 <li><p>10:30 AM - 10:45 AM: Short Break (15 mins)</p></li>
 <li><p>10:45 AM - 12:15 PM: Extending compartmental models (1 hour 30 mins)</p>
 <ul>
diff --git a/index.qmd b/index.qmd
index a087759..eb90ef1 100644
--- a/index.qmd
+++ b/index.qmd
@@ -4,8 +4,8 @@ title: Intro to Infectious Disease Modelling
 
 ### Lecture Overview
 
-This lecture introduces participants to the theory and philosophy behind
-modelling infectious diseases, focussing on compartmental models, and especially
+This lecture introduces participants to some foundational concepts in infectious
+disease modelling, focussing on the basics of compartmental models, and especially
 the SIR model and its extensions (SEIR, SEIRV), and developing an understanding
 of the derivation and interpretation of the basic reproduction number, $R0$.
 
@@ -32,19 +32,30 @@ equations, as well as some familiarity with the R programming language.
 
 - 9:00 AM - 10:30 AM: Overview of Infectious Disease Modelling (1 hour 30 mins)
   - Introduction to mathematical modelling in epidemiology
-    - The role of models in public health
-    - Types of models: deterministic vs. stochastic
-    - Basics of compartmental modelling (SIR models)
-  - Understanding model parameters: rates, proportions, and probabilities
+    - What are infectious disease (mathematical and statistical) models?
+    - The role of models in public health decision-making
+    - Types of models:
+        - deterministic vs. stochastic
+        - individual-based vs. population-based
+        - compartmental vs. network models
+  - Introduction to deterministic compartmental modelling
+    - The general compartmental model framework
+      - Adding compartments: susceptible, infected, and recovered
+      - Incorporating disease transmission and recovery processes
+    - Overview of the SIR model:
+      - structure and assumptions
+    - Understanding model parameters: rates, proportions, and probabilities
 
 - 10:30 AM - 10:45 AM: Short Break (15 mins)
 
 - 10:45 AM - 12:15 PM: Extending compartmental models (1 hour 30 mins)
     - The SEIR Model: Adding the Exposed (E) compartment
+      - Incorporating an incubation period
+      - Understanding the role of the exposed compartment in disease transmission
 - The Basic Reproduction Number, $R0$
   - Definition and significance of $R0$
-  - Methods for calculating $R0$
-  - Understanding $R0$ in the context of control measures
+  - Methods for deriving/calculating $R0$
+  - Not a magic number: Understanding $R0$ in the context of control measures
 
 - 12:15 AM - 13:15 PM: Lunch Break (1 hour)
 
@@ -64,8 +75,13 @@ equations, as well as some familiarity with the R programming language.
 
 - 15:30 PM - 17:00 - Exercises (1 hour 30 mins)
 
-  - Implementing compartmental models in R
-  - Calculating R0 for various models
+  - Describe a disease scenario and ask students to formulate a simple
+  compartmental model, explaining the rationale for their choices.
+  - Derive the R0 for the model
+  - More advanced exercises for students who are comfortable with the basics
+  of compartmental models and R:
+   - [TB elimination](https://www.reconlearn.org/post/practical-tb)
+   - 
 
 ![](https://i.creativecommons.org/l/by/4.0/88x31.png) This work is licensed
 under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).