CMDA-2006: Integrated Quantitative Sciences
Description: 2005: Integrated topics from quantitative sciences that prepare students for advanced computational modeling and data analytics courses. Topics include: probability and statistics, infinite series, multivariate calculus, linear algebra. 2006: Intermediate linear algebra, regression, differential equations, and model validation.
Pathways: N/A
Course Hours: 6 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 17
Average GPA: 2.93 (rounds to B)
Strict A Rate (No A-) : 21.36%
Average Withdrawal Rate: 3.50%
| Jason R Wilson | 2023 | 34.9% | 50.4% | 12.4% | 1.0% | 1.2% | 0.0% | 3.13 | 3 |
| Christian Lucero | 2022 | 29.5% | 36.9% | 21.6% | 6.1% | 2.4% | 3.5% | 2.86 | 4 |
| Russell J Hewett | 2019 | 16.2% | 21.6% | 45.9% | 5.3% | 2.7% | 8.1% | 2.49 | 1 |
| Staff Cazeaux | 2024 | 23.5% | 64.7% | 11.7% | 0.0% | 0.0% | 0.0% | 3.07 | 1 |
| Eric Ufferman | 2024 | 30.7% | 36.0% | 23.6% | 3.4% | 1.2% | 5.0% | 2.92 | 5 |
| Jyotishka Datta | 2023 | 29.5% | 31.9% | 31.8% | 2.3% | 4.5% | 0.0% | 2.74 | 1 |
| Hamdy F Mahmoud | 2022 | 34.0% | 32.1% | 20.1% | 2.0% | 6.0% | 6.0% | 2.90 | 1 |
| Staff Pasha | 2024 | 41.6% | 33.3% | 15.0% | 1.7% | 1.7% | 6.7% | 3.15 | 1 |