Updated markdown files to look better after converting to latex files.

1 files changed, 9 insertions, 9 deletions

diff --git a/tutorials/module_2/problem_solving_strategies.md b/tutorials/module_2/problem_solving_strategies.md
index 1a50aec..50216ab 100644
--- a/tutorials/module_2/problem_solving_strategies.md
+++ b/tutorials/module_2/problem_solving_strategies.md
@@ -8,8 +8,8 @@ By the end of this lesson, students will be able to:
 - Translate engineering problems into structured programming logic.
 - Use software tools to implement, test, and refine engineering solutions.
 
----
-## 1. Define the Problem
+
+## Define the Problem
 
 Like many other classes we need to frame the problem before working it. So before jumping straight into coding or building models, clearly define the engineering problem.
 
@@ -17,8 +17,8 @@ Like many other classes we need to frame the problem before working it. So befor
 - **Establish system constraints and assumptions.** Identify physical laws, design requirements, and performance limits.
 - **Clarify computational objectives.** What are you trying to calculate, simulate, or optimize?
 
----
-## 2. Think Algorithmically
+
+## Think Algorithmically
 
 Since we are going to use computers to calculate our solution we first need to break the problem into logical steps that a computer can follow.
 
@@ -33,8 +33,8 @@ Since we are going to use computers to calculate our solution we first need to b
 3. Plot the stress-strain curve.
 4. Identify the yield point or modulus.
 
----
-## 3. Write & Execute the Code
+
+## Write & Execute the Code
 
 - **Choose the right tools.** Are there libraries I can use to get to my objective more effectively?
 - **Write modular code.** Use functions to separate different tasks (e.g., reading data, computing values, plotting).
@@ -42,8 +42,8 @@ Since we are going to use computers to calculate our solution we first need to b
 
 **Example:** Write a Python script that uses NumPy and Matplotlib to load a CSV file, compute stress and strain, and generate plots.
 
----
-## 4. Test and Validate
+
+## Test and Validate
 
 - **Assess the feasibility of your results.** Do the values align with expected physical behavior?
 - **Compare against established benchmarks.** Validate solutions using experimental data, literature values, or known theoretical limits.
@@ -51,7 +51,7 @@ Since we are going to use computers to calculate our solution we first need to b
 
 **Example:** If your plot shows stress values in the thousands when you expect hundreds, check unit conversions in your formula.
 
----
+
 ## Case Study: Simulating a Spring-Mass System
 
 **Scenario:** Model the motion of a mass-spring-damper system using a numerical solver.