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Mathematics (MATH)
- https://dornsife.usc.edu/mathematics/
- D class assignments for undergraduates available in KAP; phone (213) 740-2400.
Derivatives; extrema. Definite integral; fundamental theorem of calculus. Extrema and definite integrals for functions of several variables. Not available for credit toward a degree in mathematics. Prerequisites: MATH 108 or MATH 117 or placement exam in MATH.
- Prerequisite: 1 from (MATH 108 or MATH 117)
- General Education: This course satisfies the university's general education requirement.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39400R | 054 | Lecture-Discussion | 10:30-12:20pm | MTuWThF | 26 of 30 | Jared Warner | OFFICE & ONLINE | PDF (310045 KB) |  |
A continuation of MATH 125: trigonometric functions; applications of integration; techniques of integration; indeterminate forms; infinite series; Taylor series; polar coordinates.
- Prerequisite: MATH 125
- General Education: This course satisfies the university's general education requirement.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39410R | 054 | Lecture-Discussion | 1:00-2:50pm | MTuWThF | 16 of 30 | Cymra Haskell | OFFICE & ONLINE | |
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 | 20 of 30 | Nathaniel Emerson | OFFICE & ONLINE | |
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 | Neelesh Tiruviluamala | OFFICE & ONLINE | |
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 | OFFICE & ONLINE | |
Lectures on advanced material not covered in regularly scheduled courses. No more than two registrations allowed. Prerequisite: Departmental Approval.
| Section | Session | Units | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|---|
| Mathematical Reasoning and Problem Solving | ||||||||||
| 39442D | 054 | 4.0 | Lecture | 1:00-2:50pm | MWTh | 13 of 30 | David Crombecque | ONLINE | | |
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 | 12 of 30 | Gary Rosen | ONLINE | PDF (127181 KB) | |
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 | 25 of 33 | Amanda Goodrich | ONLINE |  | |
| 41194D | 407 | Lab | TBA | TBA | 25 of 33 | Amanda Goodrich | 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 |
|---|---|---|---|---|---|---|---|---|---|
| 41199D | 407 | Lecture | TBA | TBA | 22 of 23 | Sue Ingles | ONLINE | | |
| 41201D | 407 | Lab | TBA | TBA | 22 of 23 | 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 | Eric Friedlander | OFFICE & ONLINE | | |
| 39461D | 059 | 1.0 | Lecture | TBA | TBA | 1 of 20 | Jin Ma, Amy Yung | OFFICE & ONLINE | | |
| 39463D | 051 | 1.0-12.0 | Lecture | TBA | TBA | 1 of 10 | Eric Friedlander | ONLINE | |
Credit on acceptance of thesis.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39470D | 059 | Lecture | TBA | TBA | 2 of 20 | OFFICE & ONLINE | |
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 | 0 of 10 | OFFICE & ONLINE | |
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 | TBA | Mon, Wed | 18 of 30 | Sergey Lototsky | OFFICE & ONLINE | |
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39483R | 054 | Lecture | TBA | TBA | Canceled | TBA | |
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39484R | 054 | Lecture | TBA | MWF | 11 of 30 | Guillermo Reyes Souto | OFFICE & ONLINE | |
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39486R | 054 | Lecture | 12:00-2:50pm | Mon, Wed | 9 of 20 | Sheldon Kamienny | ONLINE | |
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 | 5 of 20 | Eric Friedlander | OFFICE & ONLINE | |
Credit on acceptance of dissertation.
| Section | Session | Type | Time | Days | Registered | Instructor | Location | Syllabus | Info |
|---|---|---|---|---|---|---|---|---|---|
| 39502D | 059 | Lecture | TBA | TBA | 2 of 20 | OFFICE & ONLINE | |