Update README.md

Added learning outcomes

Author: kathyz95

Classroom Challenge Projects/Projects/README.md

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 <td><img src="https://gist.githubusercontent.com/robertogl/e0115dc303472a9cfd52bbbc8edb7665/raw/suspension.png"  width=500 /></td>
 <td><p><h2><a href="https://github.com/mathworks/MATLAB-Simulink-Challenge-Project-Hub/blob/main/Classroom%20Challenge%20Projects/Projects/Quarter-Car%20Suspension%20Modeling%20and%20Simulation%20with%20Simscape%20Multibody">Quarter-Car Suspension Modeling and Simulation with Simscape Multibody</a></h2></p>
-<p>Build and tune a Simscape Multibody quarter-car suspension model using an automated road test suite.</p></td>
+<p>Build and tune a Simscape Multibody quarter-car suspension model using an automated road test suite.</p>
+<strong>Learning Outcomes:</strong>
+<ul><li>Build a physics‑based quarter‑car suspension model using Simscape Multibody, including sprung/unsprung masses, spring–damper suspension, and tire compliance.</li>
+<li>Create and run an automated road‑test harness capable of executing multiple road profiles and logging key dynamic signals.</li>
+<li>Compute objective performance metrics for ride comfort, road holding, and packaging (e.g., RMS acceleration, suspension travel, tire deflection).</li>
+<li>Perform suspension tuning using parameter sweeps to improve performance across road cases.</li>
+<li>Evaluate robustness of suspension performance under parameter variation (mass change, stiffness/damping tolerances).</li>
+<li>Apply a model‑based design workflow, including repeatable testing, metrics‑driven tuning, and before/after comparison.</li></ul></td>
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 <td><img src="https://gist.githubusercontent.com/robertogl/e0115dc303472a9cfd52bbbc8edb7665/raw/BatteryCharge.png"  width=500 /></td>
 <td><p><h2><a href="https://github.com/mathworks/MATLAB-Simulink-Challenge-Project-Hub/tree/main/Classroom%20Challenge%20Projects/Projects/Modeling%20and%20Optimizing%20a%20Battery%20Charging%20Profile">Modeling and Optimizing a Battery Charging Profile</a></h2></p>
-<p>Use MATLAB to model a lithium battery-charging profile</p></td>
+<p>Use MATLAB to model a lithium battery-charging profile</p>
+<strong>Learning Outcomes:</strong>
+<ul><li>Model battery‑charging behavior using RC‑circuit analogs and exponential equations.</li>
+<li>Apply calculus concepts—including derivatives and numerical integration—to real engineering systems.</li>
+<li>Fit experimental or provided charging data using MATLAB curve‑fitting workflows.</li>
+<li>Analyze efficiency, voltage rise, and current behavior in battery‑charging scenarios.</li>
+<li>Use MATLAB to simulate and visualize engineering systems with dynamic, nonlinear behavior.</li></ul></td>
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 <td><img src="https://gist.githubusercontent.com/robertogl/e0115dc303472a9cfd52bbbc8edb7665/raw/SolarPanel.png"  width=500 /></td>
 <td><p><h2><a href="https://github.com/mathworks/MATLAB-Simulink-Challenge-Project-Hub/tree/main/Classroom%20Challenge%20Projects/Projects/Maximizing%20Solar%20Panel%20Output%20for%20a%20Fixed%20Area">Maximizing Solar Panel Output for a Fixed Area</a></h2></p>
-<p>Use MATLAB to optimize solar panel geometry to maximize solar irradiance and energy production.</p></td>
+<p>Use MATLAB to optimize solar panel geometry to maximize solar irradiance and energy production.</p>
+<strong>Learning Outcomes:</strong>
+<ul><li>Formulate a real-world problem as a mathematical optimization problem</li>
+<li>Use MATLAB's `fmincon` for constrained nonlinear optimization</li>
+<li>Visualize and interpret multivariable objective functions</li></ul></td>
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 <td><img src="https://gist.githubusercontent.com/robertogl/e0115dc303472a9cfd52bbbc8edb7665/raw/defectDetection.png"  width=500 /></td>
 <td><p><h2><a href="https://github.com/mathworks/MATLAB-Simulink-Challenge-Project-Hub/tree/main/Classroom%20Challenge%20Projects/Projects/Image-Based%20Defect%20Detection%20for%20Manufacturing%20Inspection">Image-Based Defect Detection for Manufacturing Inspection</a></h2></p>
-<p>Build a MATLAB inspection pipeline to detect manufacturing defects  image processing.</p></td>
+<p>Build a MATLAB inspection pipeline to detect manufacturing defects  image processing.</p>
+<strong>Learning Outcomes:</strong>
+<ul><li>Build a hybrid classical‑vision + AI inspection workflow that mirrors modern manufacturing practice (preprocess → evidence → AI decision → test → report).</li>
+<li>Implement traceable defect‑evidence generation, including segmentation masks, measurable features, and overlays for explanation and debugging.</li>
+<li>Perform transfer learning using a MathWorks‑provided pretrained network (recommended: ResNet‑18) for part‑quality classification.</li>
+<li>Design a fully automated inspection function that produces PASS/FAIL decisions, confidence scores, defect evidence, and rule‑based fallbacks.</li>
+<li>Evaluate inspection performance and robustness via a batch test suite, confusion matrix, yield/defect statistics, and perturbation tests (lighting, blur, noise).</li>
+<li>Understand the relationship between classical preprocessing, evidence metrics, and AI decisions, and how hybrid logic increases stability and interpretability.</li></ul></td>
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 <td><img src="https://gist.githubusercontent.com/robertogl/e0115dc303472a9cfd52bbbc8edb7665/raw/QuadcopterDrone.jpg"  width=500 /></td>
 <td><p><h2><a href="https://github.com/mathworks/MATLAB-Simulink-Challenge-Project-Hub/tree/main/Classroom%20Challenge%20Projects/Projects/Drone%20Payload%20Structure%20Design%20and%20Analysis">Drone Payload Structure Design and Analysis</a></h2></p>
-<p>Design a lightweight but strong drone payload structure by applying core statics principles such as equilibrium, moments, trusses, and center‑of‑mass analysis.</p></td>
+<p>Design a lightweight but strong drone payload structure by applying core statics principles such as equilibrium, moments, trusses, and center‑of‑mass analysis.</p>
+<strong>Learning Outcomes: </strong>
+<ul><li>Apply statics concepts (equilibrium, free‑body diagrams, trusses, and moments) to a real engineering system.</li>
+<li> Estimate structural loads and evaluate design tradeoffs between strength and weight.</li>
+<li> Use MATLAB to compute forces, moments, and center‑of‑mass positions, and to generate structural diagrams.</li>
+<li> Validate and compare structural design concepts through simulation</li>
+<li> Understand how payload placement and structural design influence drone stability and performance.</li></p></ul></td>
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