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Lecture
Support Vector Machines: Formulation and Complexity
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Algorithmic Complexity: Definition and Examples
Explores algorithm correctness, worst-case complexity analysis, and efficiency comparison based on input size.
Algorithmic Complexity: Travel Time Analysis
Covers algorithmic complexity and travel time analysis, focusing on measuring the time taken by algorithms and evaluating their performance.
Solving Parity Games in Practice
Explores practical aspects of solving parity games, including winning strategies, algorithms, complexity, determinism, and heuristic approaches.
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Delves into the complexity and interdependencies of transitioning to smart cities, emphasizing the importance of a holistic approach.
Computation & Algorithms II: Sorting and Recursive Algorithms
Explores sorting and recursive algorithms, including complexity analysis, maximal value, and binary search.
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Covers Dijkstra's algorithm and its application to the all-pairs shortest path problem.
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Theory of Computation: Countability and Undecidable Problems
Explores countability and undecidable problems in the theory of computation.
Simon Problem 4: Quantum State and Complexity Analysis
Explores the Simon Problem 4, analyzing quantum states and algorithm complexity.
Algorithmic Complexity: Visualization and Analysis
Explores algorithmic complexity, visualization of functions, and algorithm efficiency analysis using Python.