CS-5040: Intermediate Data Structures and Algorithm Analysis
Description: Data structures and analysis of data structure and algorithm performance. Sorting, searching, hashing, and advanced tree structures and algorithms. File system organization and access methods. Course projects develop advanced problem-solving, design, testing, and implementation skills. Pre: Graduate standing in Computer Science and coursework in object-oriented design and introductory data structures.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 15
Average GPA: 3.59 (A-)
Strict A Rate (No A-) : 63.53%
Average Withdrawal Rate: 0.27%
| Kenneth R Edmison | 2022 | 75.5% | 15.3% | 4.8% | 0.0% | 3.7% | 0.7% | 3.60 | 6 |
| Tessema M Mengistu | 2023 | 74.4% | 19.2% | 4.6% | 0.0% | 1.8% | 0.0% | 3.63 | 3 |
| Clifford A Shaffer | 2023 | 59.5% | 31.9% | 3.8% | 1.6% | 3.3% | 0.0% | 3.40 | 2 |
| Mohammed F Farghally | 2021 | 75.8% | 19.8% | 4.5% | 0.0% | 0.0% | 0.0% | 3.71 | 2 |
| Mohamed Farag | 2024 | 85.7% | 8.1% | 4.0% | 0.0% | 2.0% | 0.0% | 3.71 | 1 |
| Sally Hamouda | 2022 | 80.0% | 0.0% | 20.0% | 0.0% | 0.0% | 0.0% | 3.54 | 1 |