Scripts and Algorithms: MATLAB and Octave Basics

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Theory of Computation: Problems Definition and Counting (Denumerability)

Explores the theory of computation, emphasizing problems definition, counting, and the limits of algorithmic computation.

Manopt: Optimization on Manifolds

Introduces Manopt, a toolbox for optimization on manifolds, covering gradient and Hessian checks, solver calls, and manual caching.

Programming for Engineers: Advanced MATLAB Techniques

Explores advanced MATLAB techniques, emphasizing vectorization, 'find' function, and plot manipulation.

Variance Reduction Techniques

Covers variance reduction techniques in optimization, focusing on gradient descent and stochastic gradient descent methods.

Solving Parity Games in Practice

Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.

Matlab 2: Vectorisation and Functions

Covers vectorisation, functions, and flow control in Matlab, emphasizing the importance of avoiding global variables and providing examples of simple plots and debugging techniques.

Elements of computational complexity

Covers classical and quantum computational complexity concepts and implications.

Matlab: Interactive Mode and Project Steps

Introduces Matlab basics, error handling, and billiards project concepts.

Double Descent Curves: Overparametrization

Explores double descent curves and overparametrization in machine learning models, highlighting the risks and benefits.

Theory of Computation: Complexity of Problems

Explores the theory of computation, undecidable problems, complexity measurement, and the P complexity class.