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A broad survey of the computer science discipline, focusing on the computer's role in representing, storing, manipulating, organizing and communicating information. Topics include hardware, software, ...
Textbook: Introduction to Algorithms, 3rd Edition (The MIT Press) 3rd Edition, by Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, and Clifford Stein. A supplemental textbook is also ...
Algorithm design and analysis is fundamental to all areas of computer science and gives a rigorous framework for the study optimization. This course provides an introduction to algorithm design ...
Introduction to algorithms, machine learning and AI The difference between the latest terms being bandied around the industry.
Introduction to theory of algorithms guided by basic Python programming. Algorithmic thinking: Do you know how to multiply integers? Basic toolkit for the design and analysis of algorithms, and an ...
Quantum Computation and Quantum Information by Nielsen and Chuang is the foundational text, covering algorithms, cryptography, and computational complexity. Qua ...
Introduction to programming in Python. Introduction to the theory of algorithms: running time and correctness of an algorithm. Recursion. Data structures: arrays, linked lists, stacks, queues, binary ...
Introduction to methodologies for program design, development, testing, and documentation. Topics include program design, algorithm design, number systems, classes and objects, methods (functions), ...
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