Credit limitations are restrictions on how credits are granted. These restrictions may be applied between courses if courses are too similar in content or if certain topics must be taken in a specific order (this is also known as course sequencing).
Credit Limitations within Sequences: LOWER DIVISION
Lower division mathematics courses are sequenced with their prerequisites. Students must complete the prerequisites listed in lower division course descriptions before moving forward with a higher-level course. Failure to complete courses in order can result in "No Credit" granted toward the prerequisites.
Credit Limitations within Sequences: UPPER DIVISION
Some upper division mathematics courses are sequenced and must be taken in a specific order. These sequenced courses are:
- MATH #A, #B, #C (E.g., MATH 131A, 131B, and 131C)
- MATH 170E, 170S These are a few diagrams indicating the order in which lower division courses should be completed.
Credit Limitations Among Similar Math Courses
Students can only receive credit for one course in each of the following groups:
- MATH 3A, 31A, 31AL
- MATH 3B, 31B
- MATH 110A, 117
- MATH 118, 164
- MATH 170A, MATH 170E, STATS 100A
- MATH 170S, STATS 100B
- MATH #, #H* (E.g., MATH 32A and 32AH)
* MATH 110A, 110B and MATH 110AH, 110BH (Honors) are a special case. Please see an undergraduate advisor in the Mathematics Department if you find that you have stopped in the middle of one of the algebra sequences and want to finish with the other the following year.
Additional Credit Limitations
Students cannot receive credit for Course A if they already have credit for Course B. However, they may be able to receive credit in the reverse order (check with those respective departments to confirm).
| You may not receive credit for: | If you have already taken: |
|
MATH 32T: Essential Calculus for Mathematical Biologists |
MATH 31A, 31B, 32A, or 32B |
| MATH 132: Complex Analysis for Applications | PHYSICS 132: Mathematical Methods of Physics |
| MATH 151A: Applied Numerical Methods | EC ENGR 133A: Applied Numerical Computing |
| MATH 156: Machine Learning | EC ENGR M146: Introduction to Machine Learning or COM SCI M146: Introduction to Machine Learning |
| MATH 167: Mathematical Game Theory | ECON 106G: Introduction to Game Theory |
| MATH 170A: Probability Theory or MATH 170E: Introduction to Probability and Statistics 1: Probability |
EC ENGR 131A: Probability and Statistics |
| MATH 170S: Introduction to Probability and Statistics 2: Statistics | STATS 100B: Introduction to Mathematical Statistics |
| MATH 174E: Mathematics of Finance | ECON 141: Topics in Microeconomics: Mathematical Finance or STATS C183/C283: Statistical Models in Finance |
| MATH 180: Graph Theory | EC ENGR 134: Graph Theory in Engineering |
| MATH 182: Algorithms | COM SCI 180: Introduction to Algorithms and Complexity |