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Mathematics (MATH)
- https://dornsife.usc.edu/mathematics/
- D class assignments available; URL: https://dornsife.usc.edu/mathematics/registration-faqs/.
- The USC Math Department will now use a form to better organize the flow of registration. Both Lower and Upper Division forms can be found on the website listed above.
Limits; continuity, derivatives and applications; antiderivatives; the fundamental theorem of calculus; exponential and logarithmic functions.
- Prerequisite: MATH 108
- General Education: This course satisfies the university's general education requirement.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39412R | 054 | Lecture-Discussion | 1:00-2:50pm | MTuWThF | 7 of 30 | Nathaniel Emerson | KAP147 |  |
Vectors, vector valued functions; differential and integral calculus of functions of several variables; Green's theorem, Divergence theorem, Stoke's theorem.
- Prerequisite: 1 from (MATH 126 or MATH 127 or MATH 129)
- General Education: This course satisfies the university's general education requirement.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39430R | 054 | Lecture-Discussion | 1:00-2:50pm | MTuWThF | 14 of 30 | Cymra Haskell | KAP163 | |
First-order differential equations; second-order linear differential equations; determinants and matrices; systems of linear differential equations; Laplace transforms.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39435R | 054 | Lecture-Discussion | 10:30-12:20pm | MTuWThF | 4 of 30 | Pranava Jayanti | KAP147 | |
Individual research and readings. Not available for graduate credit.
- Restriction: Registration open to the following class level(s): Junior, Senior
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39439D | 059 | Lecture | TBA | TBA | 0 of 10 | Aaron Lauda | TBA | |
Linear equations and matrices, Gauss elimination, error estimates, iteration techniques; contractive mappings, Newton's method; matrix eigenvalue problems; least-squares approximation, Newton-Cotes and Gaussian quadratures; finite difference methods. Prerequisite: linear algebra and calculus.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39440R | 054 | Lecture | 11:00-1:00pm | MWF | 13 of 30 | Gary Rosen | KAP145 | |
Major parametric and non-parametric statistical tools used in biomedical research, computer packages including SAS. Includes laboratory. Lecture, 2 hours; laboratory, 2 hours.
- Prerequisite: PM 510
- Crosslist: This course is offered by the PM department but may qualify for major credit in MATH. To register, enroll in PM 511a.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 41198D | 407 | Lecture | TBA | TBA | 24 of 25 | Lu Zhang | ONLINE |  | |
| 41194D | 407 | Lab | TBA | TBA | 24 of 25 | Lu Zhang | ONLINE | |
Statistical methods for analysis of categorical data including dichotomous, ordinal, multinomial and count data, using Stata package. Includes laboratory.
- Prerequisite: PM 511A
- Crosslist: This course is offered by the PM department but may qualify for major credit in MATH. To register, enroll in PM 511b.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 41101D | 407 | Lecture | TBA | TBA | 28 of 28 | Sue Ingles | ONLINE | | |
| 41102D | 407 | Lab | TBA | TBA | 28 of 28 | Sue Ingles | ONLINE | |
Research leading to the master's degree. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.
| Section | Session | Units | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|---|
| 39460D | 059 | 1.0-12.0 | Lecture | TBA | TBA | 0 of 20 | Aaron Lauda | OFFICE | | |
| 39461D | 059 | 1.0 | Lecture | TBA | TBA | 1 of 20 | Jin Ma | OFFICE | | |
| 39462R | 057 | 3.0 | Lecture | 2:00-3:50pm | MTuWThF | 13 of 20 | Sami Assaf | KAP138 | |
Credit on acceptance of thesis.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39470D | 059 | Lecture | TBA | TBA | 1 of 20 | OFFICE | |
Part-time or full-time, practical work experience in the students field of study. The internship must be located at an off-campus facility. Students are individually supervised by faculty. May not be taken until the student has completed at least one semester of enrollment in the graduate program with a cumulative 3.0 GPA.
- Restriction: Registration open to the following class level(s): Doctoral Student, Master Student
| Section | Session | Units | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|---|
| 39481D | 059 | 1.0 | Lecture | TBA | TBA | 1 of 10 | Aaron Lauda | OFFICE | |
Theoretic and applied topics of current interest in discrete and continuous time stochastic processes and in stochastic differential equations. Recommended preparation: a graduate level course in probability theory or stochastic processes.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39482R | 054 | Lecture | 9:30-12:30pm | Mon, Wed | 13 of 30 | Sergey Lototsky | KAP163 | PDF (393621 KB) | |
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39483R | 054 | Lecture | TBA | TBA | 6 of 20 | Anne Dranowski | OFFICE | |
Research leading to the doctorate. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39500D | 059 | Lecture | TBA | TBA | 0 of 20 | Aaron Lauda | OFFICE | |
Credit on acceptance of dissertation.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39502D | 059 | Lecture | TBA | TBA | 0 of 20 | OFFICE | |