Course Details
Course Code: CSCI345 Course ID: 5311 Credit Hours: 3 Level: Undergraduate
The course will present advanced concepts related to hashes, trees, graphs, linear programming, and multithreading. Students study techniques for designing algorithms and for analyzing the time and space efficiency of algorithms. The course will introduce students to computational models and computational complexity like NP-Completeness, as well as how to develop key algorithms for advanced types of trees, analyze NP-Completeness, apply advanced concepts related to graphs, analyze topics related to multithreaded algorithms, and compare different algorithm strategies. The algorithm design techniques include divide-and-conquer, greedy algorithms, dynamic programming, randomized algorithms, and parallel algorithms. (Prerequisite: CSCI240)
- CSCI240 - Algorithms and Data Structures I
Prerequisites
Course Schedule
Registration Dates | Course Dates | Start Month | Session | Weeks |
---|---|---|---|---|
Registration11/28/2024 - 05/02/2025 | Course Dates05/05/2025 - 08/24/2025 | Start Month May | SessionSpring 2025 Session K | Weeks16 Week session |
Registration03/31/2025 - 08/29/2025 | Course Dates09/01/2025 - 12/21/2025 | Start Month September | SessionSummer 2025 Session C | Weeks16 Week session |