Applied Mechanical Design: Detail Design

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Covers the formulation of optimization programs for minimizing piecewise linear cost functions.

Demonstrates dynamic programming to find the number of ways to make change using different coin denominations.

Covers the computational environment for Molecular Dynamics and Monte Carlo exercises, emphasizing theoretical understanding over coding skills.

Covers the simulation of an antenna cornet, focusing on field overlays and radiation patterns.

Covers necessary optimality conditions for optimization with constraints and discusses cones and polar sets.

Focuses on designing and optimizing integration procedures for the SP80 boat.

Explores the simulation of the 2004 Indian Ocean tsunami and the WKB method for analytical solutions.

Explores approximate convergence, optimization theorems, and mirror descent in mathematical algorithms.

Explores the Spark ecosystem's architectural choices, including RDDs and fault tolerance.

Explores autonomy in mobile robotics, high-fidelity simulation, control architectures, and real-time emulation.

Explores the reflection principle in martingales and Brownian motion, simplifying probability calculations.

Covers modeling response surfaces in Matlab, including building the model, defining the domain, computing values, and analyzing residuals.

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