This is the course homepage for Math 343 / 643 at Queens College, City University of New York taught by Professor Adam Kapelner. The syllabus can be read here and downloaded here. We use slack for class announcements and discussions (see syllabus for link).

MATH 343. Statistical Models and Methods. 4 Credits. Review of theory and applications of mathematical statistics including estimation and hypothesis testing. Students cannot get credit for both MATH 343 and DSCI 345M/MATH 345M. Requisites: Prereq: MATH 252. Equivalent to: DSCI 345M, MATH 345M Additional Information: BS Math or Science Area

Topics may include the Score and generalized likelihood ratio tests, chi-squaredtests, Kolmogorov-Smirnov test, basic linear model theory, ridge and lasso, Metropolis-within-Gibbs sampling, permutation tests, the bootstrap and survival modeling. Special topics. Not open to students who are taking or who have received credit for MATH 643.

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Introduction to abstract algebraic structures, including groups, rings, and fields. Sets and relations. Congruences and unique factorization of integers. Groups, permutation groups, homomorphisms and quotient groups. Rings and quotient rings, Euclidean rings, …

Learning Outcomes and Course Goals : Students will understand the theory of linear systems, ma- trices, determinants, vector spaces, linear transformations, eigenalues,v and eigenvectors. Students will strengthen their ability to understand and write mathematical proofs, and students will apply the theory to solve computational problems.

Math 343, Fall 2021 . Instructor: Adrian Tudorascu Office: Armstrong Hall 410F e-mail: [email protected] · Lecture Schedule. The class will meet three times a week, on Monday, Wednesday and Friday in Clark Hall 320 from 11:30 a.m. to 12:20 p.m. We will not meet on official holidays and on dates I need to travel for scientific purposes.

6 天之前 · Prerequisite: COSC 110 , MATH 121 or MATH 125 Description: Algorithmic methods for function evaluation, roots of equations, solutions to systems of linear equations, function interpolation, numerical differentiation, and integration and use of spline functions for curve fitting.

2021年2月5日 · Access study documents, get answers to your study questions, and connect with real tutors for MATH 343 : elementary differential equation at Indiana University, Bloomington.