CIT 596 Algorithms and Computation
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This CIT 596 Algorithms and Computation course is mainly devoted to the design and analysis of algorithms. He starts with sorting and search algorithms and then learns algorithms on graphs. Then, general algorithmic design patterns were introduced, such as dynamic programming and the greedy algorithm. Part of this course is also about understanding NP-completeness.
This course has three parts:
- Basic Difficulty-Excellent, sort by array, search, recursion
- Graphic Algorithm - Shortest Path, Minimum Spanning Tree
- P vs NP (hard for computers). Resolvability (not possible for computers).
There will be an intermediate (or end) associated with each of the three parts.
Upon successful completion of this course, you should also have a deeper understanding of some basic computer science topics:
- What tasks do the calculations solve?
- How difficult is it to calculate the solution?
- How to express calculations?
You will also learn about some specific answers to these and related basic computer science questions, the reasons why certain questions in this area will never be answered and you are still looking for answers.
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