About this class
1.To teach students the design and application of numerical methods for solving mathematical models of problems in engineering.
2.To enable students to formulate and solve engineering problems that are not amenable to analytical methods.
3.To demonstrate the application of numerical methods to data analysis and optimal design.
4.To prepare the students for reading and adding to existing code.
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Learning Material
Title
Volume
Unit 1: Multiscale Modeling and Simulation
5.89 MB
<p>Multiscale Modeling and Simulation</p>
Unit 2: Computational Fluid Dynamics (CFD) in Engineering
5.89 MB
<p>Computational Fluid Dynamics (CFD) in Engineering</p>
Unit 3: Finite Element Analysis (FEA) for Complex Structures
5.89 MB
<p>Finite Element Analysis (FEA) for Complex Structures</p>
Unit 4: Optimization Techniques in Engineering
5.89 MB
<p>Optimization Techniques in Engineering</p>
Unit 5: Machine Learning Applications in Engineering
5.89 MB
<p>Machine Learning Applications in Engineering</p>
Unit 6: High-Performance Computing for Engineering Simulations
5.89 MB
<p>High-Performance Computing for Engineering Simulations</p>
Unit 7: Uncertainty Quantification in Computational Engineering
5.89 MB
<p>Uncertainty Quantification in Computational Engineering</p>
Unit 8: Computational Materials Science and Engineering
5.89 MB
<p>Computational Materials Science and Engineering</p>
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