Mathematics, B.A.
Program Learning Outcomes
Graduates of the program will be able to:
- demonstrate facility with analytical and algebraic concepts.
- write proofs.
- apply their mathematical knowledge and critical thinking to solve problems.
- use technology to solve problems.
- speak about their work with precision, clarity, and organization.
- write about their work with precision, clarity, and organization.
- identify, locate, evaluate, and effectively and responsibly use and cite information for the task at hand.
- collaborate effectively in teams.
- understand and create arguments supported by quantitative evidence.
- understand the professional, ethical, and social issues and responsibilities with the implementation and use of mathematical models and technology.
| Code | Title | Units |
|---|---|---|
| Lower-Division Requirements | ||
| CSC 1043 and CSC 1043L | Introduction to Computer Programming and Introduction to Computer Programming Lab | 3 |
| CSC 1054 and CSC 1054L | Objects and Elementary Data Structures and Objects and Elementary Data Structures Lab | 4 |
| MTH 1064 and MTH 1064L | Calculus I (FE) and Calculus I Lab (FE) | 4 |
| MTH 1074 and MTH 1074L | Calculus II and Calculus II Lab | 4 |
| MTH 2033 | Linear Algebra | 3 |
| MTH 2074 | Calculus III | 4 |
| Upper-Division Requirements | ||
| MTH 3012 | Number Theory with Proofs | 2 |
| MTH 3052 | History of Mathematics | 2 |
| MTH 3083 | Mathematical Probability and Statistics | 3 |
| MTH 4081 | Senior Seminar in Computer Science | 1 |
| MTH 4024 | Real Analysis | 4 |
| or MTH 4044 | Abstract Algebra | |
| Choose one (1) course from the following: | 3 | |
| Differential Equations | ||
| Discrete Mathematics | ||
| Mathematical Modeling | ||
| Complex Analysis | ||
| Choose one (1) sequence from the following: | 3 | |
| Honors Project I and Honors Project II | ||
| Independent Research in Mathematics I and Independent Research in Mathematics II | ||
| Service Learning in Mathematics | ||
| Elective Courses | ||
| Choose eight (8) additional units from the following: 1 | 8 | |
| Python and UNIX | ||
| Machine Learning and Multivariate Modeling in R | ||
| Computational Tools | ||
| Data Visualization and Communication with R | ||
| Honors Project I | ||
| Honors Project II | ||
| Differential Equations | ||
| Discrete Mathematics | ||
| Mathematical Modeling | ||
| Topics in Geometry | ||
| Complex Analysis | ||
| Real Analysis | ||
| Abstract Algebra | ||
| Advanced Applied Statistics | ||
| History of Mathematics Study Tour | ||
| Internship in Data Science | ||
| Independent Study in Mathematics | ||
| Special Topics in Mathematics | ||
| Independent Research in Mathematics I | ||
| Independent Research in Mathematics II | ||
| Service Learning in Mathematics | ||
| Project for Data Analytics Minors I | ||
| Project for Data Analytics Minors II | ||
| Total Units | 48 | |
- 1
An elective course may not count as both an upper-division requirement and a required “additional elective.”
Total Non-FE Units for Degree: 44