CMDA-2005: 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: MATH-2114
Crosslist: N/A
Repeatability: N/A
Sections Taught: 18
Average GPA: 2.88 (B)
Strict A Rate (No A-) : 22.05%
Average Withdrawal Rate: 6.66%
| Jason R Wilson | 2022 | 27.6% | 31.5% | 21.5% | 4.5% | 5.6% | 9.2% | 2.76 | 10 |
| Eileen R Martin | 2019 | 18.4% | 39.4% | 23.7% | 7.9% | 2.7% | 7.9% | 2.65 | 1 |
| Eric Ufferman | 2019 | 26.2% | 28.9% | 21.0% | 13.2% | 5.3% | 5.3% | 2.57 | 1 |
| Joshua Clemons | 2023 | 46.2% | 26.9% | 19.3% | 2.0% | 3.8% | 1.9% | 3.12 | 1 |
| Sierra N Merkes | 2024 | 55.0% | 25.1% | 15.6% | 1.1% | 1.1% | 2.2% | 3.32 | 2 |
| Mark Y Liu | 2023 | 42.3% | 30.8% | 17.3% | 3.8% | 1.9% | 3.8% | 3.12 | 1 |
| Christian Lucero | 2020 | 50.3% | 27.8% | 10.9% | 5.5% | 3.3% | 2.2% | 3.14 | 2 |