Math 1499 is a one-credit studio course that may be taken in conjunction with Math 1551 (Differential Calculus) by students who need extra support in the Precalculus topics used in Calculus.
All students in Math 1499 should enroll concurrently in Math 1551.
Some students are required to enroll in Math 1499 based on their Math placement scores, but any student wishing for additional support is welcome to enroll.
This course introduces students to the essential methods and tools important for Mathematics and Computing. It provides a comprehensive introduction to numerical methods fundamental in modeling, simulation and machine learning. This course will help students to establish an understanding of algorithmic approaches to tackle real-life problems involving matrix computations, optimization, and differential equations.
The following table contains a list of all undergraduate special topics courses offered by the School of Math within the last 5 years. More information on courses offered in the current/upcoming semester follows below.
The following table contains a list of all graduate special topics courses offered by the School of Math within the last 5 years. More information on courses offered in the current/upcoming semester follows below.
Modern data science methods and the mathematical foundations: linear regression, classification and clustering, kernel methods, regression trees and ensemble methods, dimension reduction.
This course is a mathematical introduction to probability theory, covering random variables, moments, multivariate distributions, law of large numbers, central limit theorem, and large deviations.
MATH 3215, MATH 3235, MATH 3670, and MATH 3740 are mutually exclusive; students may not hold credit for more than one of these courses.
