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Mathematics (MATH)
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.
Basic probability, discrete and continuous distributions, expectation and variance, independence. Sampling, estimation, confidence intervals, hypothesis testing.
Matrices, systems of linear equations, vector spaces, linear transformations, eigenvalues, systems of linear differential equations. Prerequisites:
MATH 126 or
MATH 127.
| 39425R | 054 | Lecture-Discussion | 10:30-12:20pm | MTuWThF | 24 of 25 | Tuan Nguyen | KAP134 | |   |
A continuation of 126; vectors, vector valued functions; differential and integral calculus of functions of several variables; Green's theorem. Prerequisites:
MATH 126 or
MATH 127.
| 39430R | 054 | Lecture-Discussion | 1:00-2:50pm | MTuWThF | 10 of 25 | Ricardo Mancera | KAP134 | | |
First-order differential equations; second-order linear differential equations; determinants and matrices; systems of linear differential equations; Laplace transforms. Prerequisites:
MATH 226 or
MATH 227.
| 39435R | 054 | Lecture-Discussion | 10:30-12:20pm | MTuWThF | 8 of 25 | Guillermo Reyes Souto | KAP137 | | |
Individual research and readings. Not available for graduate credit.
- Restriction: Registration open to the following class level(s): Junior, Senior
| 39438D | 054 | Lecture | TBA | TBA | 0 of 10 | | OFFICE | | |
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.
| 39440R | 054 | Lecture | TBA | Tue, Thu | 18 of 30 | Gary Rosen | OFFICE | | |
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.
| 41198D | 407 | Lecture | TBA | TBA | 17 of 25 | Jessica Barrington-Trimis | ONLINE | | |
| 41194D | 407 | Lab | TBA | TBA | 17 of 25 | | ONLINE | | |
Exploratory data analysis, detection of outliers, fitting data with linear and nonlinear regression models, computer packages including S-PLUS and SPSS.
- 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 511b.
| 41199D | 407 | Lecture | TBA | TBA | 14 of 25 | Sue Ingles | ONLINE | | |
| 41201D | 407 | Lab | TBA | TBA | 14 of 25 | | 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.
| 39460D | 054 | 1.0-12.0 | Lecture | TBA | TBA | 9 of 20 | Gary Rosen | OFFICE | | |
| 39462D | 402 | 1.0 | Lecture | TBA | TBA | 2 of 5 | Jin Ma | OFFICE | | |
Credit on acceptance of thesis.
| 39470D | 054 | Lecture | TBA | TBA | 0 of 20 | | OFFICE | | |
Credit on acceptance of thesis.
| 39475D | 054 | Lecture | TBA | TBA | 0 of 20 | | OFFICE | | |
Credit on acceptance of thesis. Graded CR/NC.
- Prerequisite: MATH 594B
- Restriction: Registration open to the following class level(s): Master Student
| 39480D | 054 | Lecture | TBA | TBA | 0 of 20 | | 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.
| 39482R | 054 | Lecture | 10:00-11:50am | Mon, Wed | 17 of 25 | Sergey Lototsky | KAP113 | | |
| 39484R | 054 | Lecture | 1:00-2:50pm | Mon, Wed | 24 of 25 | Igor Kukavica | KAP158 | | |
| 39486R | 054 | Lecture | 11:00-12:50pm | Mon, Wed | 6 of 25 | Sheldon Kamienny | KAP414 | | |
Topics to be chosen from the following: Elliptic, Parabolic, Hyperbolic, and Dispersive PDEs, Conservation Laws, Mathematical Fluid Dynamics and Variational Methods. Recommended preparation: Math-555a.
| 39488R | 054 | Lecture | TBA | TBA | 7 of 15 | Guillermo Reyes Souto | OFFICE | | |
Research leading to the doctorate. Maximum units which may be applied to the degree to be determined by the department. Graded CR/NC.
| 39500D | 054 | Lecture | TBA | TBA | 1 of 20 | Gary Rosen | OFFICE | | |
Credit on acceptance of dissertation.
| 39502D | 054 | Lecture | TBA | TBA | 0 of 20 | | OFFICE | | |
Credit on acceptance of dissertation.
| 39504D | 054 | Lecture | TBA | TBA | 1 of 20 | | OFFICE | | |
Credit on acceptance of dissertation.
| 39506D | 054 | Lecture | TBA | TBA | 0 of 20 | | OFFICE | | |
Credit on acceptance of dissertation.
| 39508D | 054 | Lecture | TBA | TBA | 0 of 20 | | OFFICE | | |
Credit on acceptance of dissertation.
- Prerequisite: MATH 794D
- Restriction: Registration open to the following class level(s): Doctoral Student
| 39510D | 054 | Lecture | TBA | TBA | 1 of 20 | | OFFICE | | |
