Update README.md

update skills gains

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>
-<strong>Learning Outcomes:</strong>
-<ul><li>Understand and apply physics‑based suspension behavior through quarter‑car modeling and simulation, including sprung/unsprung mass dynamics, suspension elements, and tire compliance. </li>
-<li>Evaluate performance metrics and 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>
+<strong>Skills Gained:</strong> Quarter-car suspension modeling, vehicle dynamics simulation, road disturbance modeling, suspension parameter tuning, ride comfort and road-holding analysis, robustness evaluation</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>
-<strong>Learning Outcomes:</strong>
-<ul><li>Understand battery-charing dynamics through RC-circuit analogs and exponential models.</li>
-<li>Apply calculus-based reasoning, including derivatives, numerical integration, and model fitting, to characterize charging behavior in a real engineered system. </li>
-<li>Analyze efficiency, voltage rise, current behavior, and braoder nonlinear system behavior through MATLAB-support simulation and visualization.</li></ul></td>
+<strong>Skills Gained:</strong> Battery charging modeling, RC-circuit dynamics, exponential curve fitting, energy computation, charging efficiency analysis</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 for maximum solar irradiance and energy production.</p>
-<strong>Learning Outcomes:</strong>
-<ul><li>Formulate a real-world problem as a mathematical optimization problem</li>
-<li>Apply constrained nonliner optimization principles with computational tools, such as MATLAB's `fmincon` </li>
-<li>Analyze and interpret multivariable objective functions through visualization</li></ul></td>
+<strong>Skills Gained:</strong> Solar energy modeling, geometry of solar irradiance, constrained nonlinear optimization, objective function visualization, energy output maximization</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 with image processing.</p>
-<strong>Learning Outcomes:</strong>
-<ul><li>Apply understanding of integrated classical-vision and AI inspection workflows and their role in modern manufacturing practice to design a fully automated inspection function.</li>
-<li>Analyze different forms of visual evidence to implement traceable defect‑evidence generation, with a design emphasis on the system's transparency, interpretability, and diagnostic insight.</li>
-<li>Evaluate inspection performance and robustness via a batch test suite, confusion matrix, yield/defect statistics, and perturbation tests (lighting, blur, noise).</li></ul></td>
+<strong>Skills Gained:</strong> Automated visual inspection, image preprocessing, image segmentation, feature extraction, deep learning–based image classification, model evaluation and robustness testing</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>
-<strong>Learning Outcomes: </strong>
-<ul><li>Apply statics concepts (equilibrium, free‑body diagrams, trusses, and moments) to a real engineering system.</li>
-<li> Analyze structural loads, material choices, and design tradeoffs with MATLAB-based computation of forces, moments, and center-of-mass positions.</li>
-<li> Evaluate structual design concepts through simulation, with an emphasis on understanding how payload placement and structural design influence drone stability and performance.</li></p></ul></td>
+<strong>Skills Gained: </strong>Drone structural design, statics and equilibrium analysis, structural load analysis, center-of-mass and stability analysis, payload capacity estimation</td>
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