Majid Bani-Yaghoub, Ph.D.

I enjoy teaching a variety of Applied Mathematics and Computational Courses. My favorite courses include Mathematical Modeling, Mathematical Methods in Data Science, Numerical Analysis, and Partial Differential Equations. Below is a list of the courses taught since fall 2010. See also the list of courses developed or redesigned.

Graduate Courses
1. Advanced Numerical Analysis I – Math 5532, (Fall 2017)
2. Advanced Numerical Analysis II – Math 5542, (Spring 2018)
3. Differential Equations – Math 5521 (Spring 2016, 2017 & 2020)
4. Mathematical Methods in Data Science – Math 5545 (Spring 2021)
5. Math Methods in Sci. & Eng. – Math 5545 (Spring 2013, 2014, 2019)
6. Epidemiological Modeling of Infectious Diseases – VIBS 689, Co-Instructed with Dr. Ivanek, (Fall 2010)

Upper-level Undergraduate Courses
7. Partial Differential Equations – Math 406 (Fall 2013, 2015, 2017 & 2019)
8. Ordinary Differential Equations – Math 345 (Spring 2019 & 2020)
9. Differential Equations – Math 308, Sections 101, 102, 510 & 514 (Fall 2011, Summer 2012)
10. Numerical Analysis – Math 417, Section 500 (Fall 2011)
11. Complex Variables – Math 407 (Fall 2016)
12. Mathematical Modeling – Math 469 (Spring 2011, 2014 & 2015)
13. Linear Algebra I– Math 300, (Fall 2012, Spring 2013, Fall 2014, Spring 2018)
14. Linear Algebra II – Math 420 (Fall 2018, Fall 2020)

Undergraduate Courses

15. Calculus I – Math 210 (Summer 2013, 2014, 2021)
16. Calculus II – Math 220 (Summer 2016, 2018, 2020 & 2021, Fall 2020)
17. Calculus III – Math 250 (Summer 2017, 2019 & 2020)
18. Calculus I for Biological Sciences– Math 216 (Fall 2013, 2015 & 2018, Spring 2016 & 2017)
19. Engineering Calculus I – Math 151, Sections 507 – 509 (Spring 2011)
20. Calculus II for Mathematics and Physics Majors – Math 172, Section 503 (Spring 2012)
21. Calculus II for Biological Sciences – Math 148, Sections 507 – 509 (Spring 2012)
22. Brief Calculus & Matrix Algebra – Math 206 (Fall 2014, 2016, Spring 2017, Summer2018)
23. Business Mathematics I (Honors) – Math 141, Section 200 (Fall 2011)
24. Directed studies for Business Mathematics – Math 285, Section 201 (Fall 2011)

Courses Developed or Redesigned
Note abbreviations: New Course (N), Redesigned course (R) and Credit Hours (CH)

1. Numerical Linear Algebra – Math 5532 (R, 3 CH, offered in Fall 2021)
2. Mathematical Methods in Data Science – Math 5545 (R, 3 CH, offered in Spring 2021)
3. Introduction to Data Visualization – Stat 340L (N, 1 CH lab, offered in Fall 2020)
4. Introduction to Diagnostic Analytics –Stat 355L (N, 1 CH lab, offered every spring)
5. Introduction to Predictive Analytics – Stat 360L (N, 1 CH lab, offered every spring)
6. Machine Learning & Statistical Modeling – Stat 400 (N, 3 CH, offered every fall)
7. Data-Driven Modeling – Math 401 (N, 3 CH, offered every other spring semester)
8. Brief Calculus and Matrix Algebra – Math 206 EUReka (R, 3 CH, Experience in Undergraduate Research, offered in Fall 2016)
9. Calculus for Biological Sciences – Math 216 EUReka (R, 3 CH, formerly known as BioMath I, offered in Fall 2015 and Spring 2016)
10. Internship course – Math 496 / Stat 496 Internship and Practical Training in Mathematics or Statistics, N, 1-3 CH, Fall 2015)
11. Mathematical Modeling – Math 469 (N, 3 CH offered every Spring semester)
12. Introduction to Mathematical Biology (Honors) – Math 469H, (R, 3 CH, Texas A & M University, Summer 2012)
13. Epidemiological Modeling of Infectious Diseases – VIBS 689, (N, 3 CH, veterinary students, jointly developed and offered with Dr. Ivanek Spring 2010)