1076
- Subject
- MATH
- Type
- course
- Edition
- 2026-2027
- Source
- catalog.umb.edu
53 courses with the subject MATH, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
1076
Credit(s): 2 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: College Algb-Reduced Enrollment Requirements:
or ENVSCI 261 - Statistics for Environmental Science 200-Level Core
or
Credit(s): 2 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: Mgt Precalc-Reduced Enrollment Requirements:
Electives
Credit(s): 2 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: Preparation for first-year calculus for students who have received credit in a course which covered most (but not all) of the following topics: symmetry, graphs, functions, lines, parabolas and max-min problems, exponential and logarithm functions, exponential growth, and the trigonometric functions and their inverses. Course Note: This course is designed for students who have received credit in a course which covered most (but not all) of the topics of MATH 130, such as MATH 129, but who also need credit for MATH 130. Students will be eligible to take any course which requires the completion of MATH 130. Note: Students with grades lower than B in the pre-requisite course will be dropped from the class. Enrollment Requirements: Prerequisite: Math Department permission and completion of MATH 129. consent required for enrollment: Department Course Catalog ID: 021454 Course Offer Number: 1
Credit(s): 3 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: A one-semester course in calculus, with particular emphasis on applications to economics and management. Topics covered include limits, continuity, derivatives, and integrals. 1080
or
Credit(s): 1 Component(s): Lecture 1081
or
Credit(s): 2 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: The first in the sequence of calculus courses for science and math majors who have received credit in a course which covered most (but not all) of the following topics: limits, continuity, derivatives and their applications, and definite and indefinite integrals with applications to geometric and physical problems. Course Note: This course is designed for students who have received credit in a course which covered most (but not all) of the topics of MATH 140, such as MATH 134 or MATH 135, but who also need credit for MATH 140. Students who complete this course will be eligible to take any course which requires the completion of MATH 140. Note: Students with grades lower than B in the pre-requisite course will be dropped from the class. Enrollment Requirements: Prerequisite: Math Department permission and completion of either MATH 134 or MATH 135. consent required for enrollment: Department Course Catalog ID: 021458 Course Offer Number: 1
or
Credit(s): 2 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: Continuation of MATH 140 for students who have received credit in a course which covered most (but not all) of the following topics: transcendental functions, techniques of integration, applications of the integral, improper integrals, L'Hospital's rule, sequences, and series. Course Note: This course is designed for students who have received credit in a course which covered most (but not all) of the topics of MATH 141, such as MATH 146, but who also need credit for MATH 141. The permission of the Math Department is required to take this course. Students who complete this course will be eligible to take any course which requires the completion of MATH 141. Enrollment Requirements: Prerequisite: Math Department permission and credit in MATH 146 [Inactive] . consent required for enrollment: Department Course Catalog ID: 034670 Course Offer Number: 1
PHYSIC 107 - College Physics I or PHYSIC 113 - Fundamentals of Physics I PHYSIC 108 - College Physics II or PHYSIC 114 - Fundamentals of Physics II PHYSIC 171 - Introductory Physics Lab for Life Sciences I or PHYSIC 181 - Physics Laboratory I PHYSIC 172 - Introductory Physics Lab II for Life Sciences or PHYSIC 182 - Physics Laboratory II Advanced Courses
Credit(s): 2 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: This calculus course presents topics of calculus in the context of the life and environmental sciences for students who have received credit in a course which covered most (but not all) of the following topics: limits, continuity, derivatives and their applications, and definite and indefinite integrals with applications to geometric and physical problems. Course Note: This course is designed for students who have received credit in a course which covered most (but not all) of the topics of MATH 145, such as MATH 134 or MATH 135, but who also need credit for MATH 145. Students who complete this course will be eligible to take any course which requires the completion of MATH 140 or MATH 145. Enrollment Requirements: Prerequisite: Math Department permission and completion of either 1085
PHYSIC 113 - Fundamentals of Physics I PHYSIC 114 - Fundamentals of Physics II PHYSIC 181 - Physics Laboratory I PHYSIC 182 - Physics Laboratory II BIOCHM 383 - Biochemistry I BIOCHM 384 - Biochemistry II BIOCHM 385 - Biochemistry Lab I
Credit(s): 3 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: In this course students will learn important math concepts and techniques they will need to study engineering topics such as circuit analysis, signal processing, electromagnetic fields and wavers, etc. Topics include complex numbers and functions. Laplace transform, Fourier series and transform, first and second order differential equations, partial differential equations, vector differential calculus, matrix algebra, and probability and statistics. For each of these topics, engineering applications will be emphasized, and when appropriate, numerical solutions will be introduced. Course Note: ENGIN 211L and MATH 211L are the same course. This course is cross-listed as: ENGIN 211L Enrollment Requirements: Prerequisite: MATH 141 Course Catalog ID: 038411 Course Offer Number: 2
or
Credit(s): 4 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: Differential and integral calculus of functions of several variables and of vector fields. Topics include Euclidean, polar, cylindrical, and spherical coordinates; dot product, cross-product, equations of lines and planes; continuity, partial derivatives, directional derivatives, optimization in several variables; multiple integrals, iterated integrals, change of coordinates, Jacobians, general substitution rule; curves and surfaces, parametrizations, line integrals, surface integrals; gradient, circulation, flux divergence; conservative, solenoidal vector fields; scalar, vector potential; Green, Gauss, and Stokes theorems. Please note: Because MATH 242 is the final part of a three- semester calculus sequence, it should be taken as soon as possible after MATH 141 . Enrollment Requirements: Prerequisite: MATH 141 Course Catalog ID: 037080 Course Offer Number: 1
Credit(s): 1 Component(s): Lecture Grading Basis: Graded (includes P/F option) 1087
Applied Computer Science Elective
Credit(s): 3 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: This course is an introduction to discrete structures in mathematics. Topics include, 1088
Concentration
Credit(s): 3 Component(s): Lecture Grading Basis: Graded (Includes P/F Option) Repeatable for credit: Not repeatable Description: The course is designed to aid students in making the transition from calculus, differential equations and linear algebra to the more advanced and more abstract mathematics courses, such as abstract algebra and real analysis. The course will cover mathematical logic, 1089
problem solving Credit(s): 3 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: The purpose of this course is to develop a basic skillset in using computer software to approach, analyze, and report on mathematical problems. Students will learn to work collaboratively to investigate both basic problems and advanced mathematical topics via simulation and numerical exploration, and they will prepare professional level reports which compile and communicate their results. The topics and their applications will be illustrated using computer algebra software (e.g. Sage), a modern programming language (e.g. Python), and document creation software (e.g. Latex). Enrollment Requirements: Corequisite or Prerequisite: MATH 260 Course Catalog ID: 040902 Course Offer Number: 1
odeling and problem solving 129
Formerly: MATH 280 Credit(s): 3 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: The course is designed to aid students in making the transition from calculus, differential equations and linear algebra to the more advanced and more abstract mathematics courses, such as abstract algebra and real analysis. The course will cover mathematical logic, mathematical proofs, mathematical induction, set theory, relations, functions, cardinality and applications of proofs in the study of such areas as number theory, calculus and group theory, as time permits. Enrollment Requirements: Prerequisite: MATH 141 Course Catalog ID: 035526 Course Offer Number: 1
Credit(s): 3 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: An introduction to the mathematical structures and concepts used in computing: sets, mathematical induction, ordered sets, Boolean algebras, predicate calculus, trees, relations 1091
Physics Courses (12 Credits) PHYSIC 113 - Fundamentals of Physics I PHYSIC 114 - Fundamentals of Physics II PHYSIC 181 - Physics Laboratory I PHYSIC 182 - Physics Laboratory II Computer Science Electives
Credit(s): 3 Component(s): Lecture 1092
Credit(s): 3 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: Complex numbers; complex functions; power series; trigonometric functions; Moebius transformations; differentiation and integration of analytic functions; Cauchy's theorem; residues; singularities; meromorphic functions. Enrollment Requirements: Prerequisite: MATH 242 Course Catalog ID: 021774 Course Offer Number: 1
o computer assi
Credit(s): 3 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: Introduction to ring and field theory. Topics include: commutative rings, ideals, integral domains, polynomial fields, the theory of extension fields, vector spaces, Galois groups, and the fundamental theorem of Galois theory. Applications include insolvability of certain higher degree polynomials, and other topics as time permits. (Course is offered in the spring only.) Enrollment Requirements: Prerequisite: MATH 360 Course Catalog ID: 031427 Course Offer Number: 1
Credit(s): 3 Component(s): Lecture Grading Basis: Graded (includes P/F option) 1094
Credit(s): 3 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: This course is an introduction to the geometry of affine algebraic varieties, with emphasis on the algebra-geometry dictionary and on computation via Groebner bases and Buchberger's algorithm. Enrollment Requirements: Prerequisite: MATH 260 Course Catalog ID: 038233 Course Offer Number: 1
Credit(s): 3 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Repeatable - total credits: 6 1095
Credit(s): 3 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: This course provides an introduction to numerical analysis and its applications in practical problems in applied mathematics and engineering. In most scientific modeling projects, investigators have to deal with very large systems of linear and nonlinear equations. Understanding of which requires powerful computers and a firm understanding of the vast number of existing pertinent algorithms. The main goal of the course is to provide an instruction to algorithmic and mathematical foundations of high-performance scientific computations. Introductory topics of the course include root finding, fixed point methods, interpolation methods, initial value problems and optimization. Particular emphasis will be on optimization methods, including steepest descent, line search methods, newton methods, quasi-Newton methods, trust regions, theory of constraint optimization and linear programming. Enrollment Requirements: Prerequisite: MATH 242 and MATH 260 and CS 110 or permission of instructor Course Catalog ID: 021786 Course Offer Number: 1
Formerly: Advanced Linear Algebra, Applications and Numerical Methods Credit(s): 3 Component(s): Lecture 1096
Credit(s): 3 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: This course is an introduction to the abstract theory of continuity and convergence, otherwise known as general (or point-set) topology. Topics include metric spaces and topological spaces, continuity, subspaces, product and quotient spaces, sequences, nets and filters, separation and countability, compactness, connectedness, and the fundamental group. Enrollment Requirements: Prerequisite: MATH 260 or permission of instructor Course Catalog ID: 034995 Course Offer Number: 1 1097
Credit(s): 3 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: This is an undergraduate course on probability models with a strong emphasis on stochastic processes. The aim is to enable students to approach realworld phenomena probabilistically and build effective models. Topics include probability spaces, random variables, conditional probability, Markov chains, Poisson processes, Brownian motion, probabilistic simulations. Enrollment Requirements: Prerequisite: MATH 345 Course Catalog ID: 039218 Course Offer Number: 1
Elective (3 Credits) Mathematics for Teaching Concentration
Electives (6 Credits) Pure and Applied Mathematics Concentration
Credit(s): 3 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: This course will provide an introduction to methods in statistical machine learning that are commonly used to extract important patterns and information from data. Topics include: supervised and unsupervised learning algorithms such as generalized linear models for regression and classification, support vector machines, random forests, k-means clustering, principal component analysis, and the basics of neural networks. Model selection, cross-validation, regularization, and statistical model assessment will also be discussed. The topics and their applications will be illustrated using the statistical programming language R in a practical, example/project oriented manner. Enrollment Requirements: or permission of instructor Course Catalog ID: 041972 1099
Credit(s): 3 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Not repeatable Description: This course is an introduction to elementary theory of numbers. Topics include, but are not limited to: divisibility and prime numbers, Euclidean algorithm and applications, congruence arithmetic, primitive roots, quadratic residues, continued fractions, Diophantine linear and quadratic equations, approximations by rationals. Enrollment Requirements: Prerequisites: MATH 291 or CS 110 and MATH 260 or MATH 280 Course Catalog ID: 021799 Course Offer Number: 1
Electives (6 Credits) Queer and Trans Studies Minor Women's, Gender, and Sexuality Studies | College of Liberal Arts
Additional Elective (3 Credits) Capstone
Credit(s): 1-3 Component(s): Lecture Grading Basis: Graded (includes P/F option) Repeatable for credit: Repeatable - total credits: 999 / total completions: 99 Description: Work done by a student or group of students under faculty supervision on material not currently offered in a regularly scheduled course. Students wishing to undertake such work must first find a faculty member willing to supervise it; the work to be completed must be approved by the department chair. Enrollment Requirements: Department consent consent required for enrollment: Department Course Catalog ID: 021806 Course Offer Number: 1
Credit(s): 3 Component(s): Lecture Grading Basis: Graded (includes P/F option) 1101
Credit(s): 1-6 Component(s): Independent Study Grading Basis: Graded (no P/F option) Repeatable for credit: Repeatable - total credits: 6 / total completions: 6 Description: An opportunity for qualified, advanced students wot work on a specialized research project under the guidance of a faculty advisor. Enrollment Requirements: Instructor consent consent required for enrollment: Instructor Course Catalog ID: 038659 Course Offer Number: 1 Modern Languages, Literatures, and Cultures
Source: University of Massachusetts-Boston's catalog, linked per course · table learning_unit · CourseShelf publish 61