This course is the workshop portion of MA 129 Statistical Analysis with Quantitative Reasoning Workshop for Statistics and must be take
- Subject
- MA
- Type
- course
- Edition
- 2022-2023
- Source
- marymount.smartcatalogiq.com
36 courses with the subject MA, 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.
This course is the workshop portion of MA 129 Statistical Analysis with Quantitative Reasoning Workshop for Statistics and must be take
Provides a review of quantitative reasoning topics, including rate, ratios, and percents; perimeter, area, volume, and the units and conversion betwe
This intermediate algebra course provides a review of topics, techniques, terminology, a
A survey of topics in mathematics that develops critical thinking skills, flexibility of thought, appropriate problem-solving strategies,
Further develops students' understanding of elementary mathematics using the history of the subject. Topi
A survey of elementary geometrical topics stressing numerical relations rather than proofs. Emphasis is given to topi
This course is one part of a two-part module and must be taken concurrently with MA 029W Quantitative Reasoning Workshop f
Year Three - Fall HPR 301 Health/Fitness Program Management HPR 302 Fitness and Health Assessment HPR 225
This is the first part of a yearlong sequence that integrates the study of precalculus with the study of calculus. This first semester inc
This is the second part of a yearlong sequence that integrates the study of precalculus with the study of calculus. This second semester begins with an i
Year One - Spring BIO 152 General Biology II * BIO 152L General Biology II Lab * EN 102
Year Two - Spring BIO 262 Genetics for Majors * BIO 262L Genetics for Majors Lab CHM 152 Principles of Chemistry II * CHM 152L Principles of Chemistry II Lab *
This course introduces students to mathematical proofs through the topics of discrete ma
An introduction to proof through the study of real vector spaces, linear transformations, matrices, det
Year Three - Fall ECO 310
A study of multivariable calculus. Topics include elementary three-dimensional geometry, vectors, vector-valued functions, partial di
Introduces the use of computers in mathematics problem solving, including elementary numerical
An introduction to proof techniques using the many methods of proof that arise in number theory. This
Introduces basic discrete mathematical ideas, many of which were developed in the late 20th century to solve problems in computer science. Topics include e
This weekly seminar is intended for mathematics majors and encouraged for mathematics minors. It
Introduces techniques for exploring, analyzing, and visualizing data in R. Intended for students who already have some backgrou
Provides students with a first look at ordinary differential equations that focuses on concepts rather than techniques and equally addresses qualitative, numeric,
Prepares the student to teach mathematics at the secondary level by inte
Students register for an internship with a cooperating employer in the Washington metropolitan area.
This weekly seminar is intended for mathematics majors and encouraged for mathematics minors. It
A survey of real-world phenomena that are modeled using mathematical methods. Focuses on the
An introduction to abstract reasoning in mathematics in the context of algeb
This course is for the independent study of a particular area of
An introduction to proof techniques using the many methods of proof that arise in the
A study of plane geometry based on Euclid's axioms, both with and without the parallel postul
A student in this course will conduct collaborative research (scholarly
This course offers an elective topic of interest for mathematics majors. Topics ma
Introduces the use of computers and numerical methods in mathematics problem solving.
Covers probability theory and statistical inference, including probability laws, probability distribution
Covers techniques for exploring, analyzing, and visualizing data in R. Intended for students who already have a background in
A survey of real-world phenomena that are modeled using statistical methods. Topics include decisi
Source: Marymount University's catalog, linked per course · table learning_unit · CourseShelf publish 59