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Such algorithms are often quite efficient and provide useful bounds on the optimal solutions. The learning will be supported by instructor provided notes, readings from textbooks and assignments.
Cross-listed with DTSA 5503. Course Type: Pathway | Breadth Specialization: Foundations of Data Structures and Algorithms Instructor: Dr. Sriram Sankaranarayanan, Professor of Computer Science Prior ...
This course covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP ...
GCSE Computer Science Computational thinking, algorithms and programming learning resources for adults, children, parents and teachers.
Jeremy Johnson: Computer algebra, design and analysis of algorithms, programming languages and compilers, automated performance tuning, algorithms for DSP, parallel processing, and high-performance ...
COMP_SCI 396, 496: Advanced Algorithm Design through the Lens of Competitive Programming VIEW ALL COURSE TIMES AND SESSIONS Prerequisites CS 336 or Permission of Instructor ... This course examines ...
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