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Hello Guys,  Here we be covering all topic and syllabus of "Artificial Intelligence and Machine Learning in Civil Engineering"  as Latest AKTU Syllabus  BCE071
Unit 1: Foundations of AI and ML in Civil Engineering (8 Hours)
- Introduction to Artificial Intelligence and Machine Learning
- Differences and relationships: AI, ML, Deep Learning
- Supervised, Unsupervised, and Reinforcement Learning
- Applications of AI/ML in Civil Engineering: planning, risk prediction, BIM
- Tools Overview: Python, Jupyter, Pandas, Scikit-learn
Unit 2: Regression and Classification Models (8 Hours)
- Regression: Linear, Polynomial, Ridge, Lasso
- Classification: Decision Tree, Random Forest, SVM
- Evaluation Metrics: MAE, RMSE, R², Accuracy, Precision, Recall
- Overfitting, Cross-validation, Regularization
Unit 3: AI-Based Optimization Tools in Civil Engineering (8 Hours)
- Optimization in design: problem formulation and motivation
- Basics of Neural Networks (NN): input-output structure, practical use
- Basics of Genetic Algorithms (GA): natural selection and evolution in design
- Case studies: concrete strength prediction, foundation cost optimization
- Visual tools: Teachable Machine, Excel GA demos, Python examples
Unit 4: Construction and Infrastructure Applications (8 Hours)
- ML for project delay and cost prediction
- AI for construction planning and resource optimization
- Sensor-based infrastructure health monitoring
- Case Studies: traffic flow forecasting, bridge safety prediction
Unit 5: Interpretation, Deployment & Ethics (8 Hours)
- SHAP, LIME, and PDP: Model interpretation and visualization
- Simple deployment with Streamlit/Flask (conceptual overview only)
- Ethics in AI/ML: bias, transparency, fairness, and privacy
- Emerging trends: AI + FEM integration, Digital Twins in infrastructure


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Unique Series - Civil Mantraa

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Hey! I’m learning with Unique Series - Civil Mantraa and you can too. Here’s a course you might like: PDF ONLY : Artificial Intelligence and Machine Learning in Civil Engineering : BCE071 by Unique Series
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