Montana State University
College of Letters & Science > Department of Mathematical Sciences > Mathematics and Statistics Course Links

Department of Mathematical Sciences

Montana State University
P.O. Box 172400
Bozeman, MT 59717-2400

Tel: (406) 994-3601
Fax: (406) 994-1789
Location: 2-214 Wilson Hall

Department Chair

Dr. Ken Bowers

math@math.montana.edu

Mathematics and Statistics Course Links

 

 

Mathematics Courses - Undergraduate

M-097
Formerly
Math 103
Survey of Algebra (Mastery Learning)
Course information for Tutor Assisted Courses (TAC).

M-121Q

Formerly
Math 105

College Algebra

Course Supervisor: Tom Hayes
Focus is on using previously learned algebra to model and solve problems, and to explore various types of functions such as linear, quadratic, polynomial, exponential, and logarithmic.

M-135

Formerly
Math 130

Math for K-8 Teachers I

Course Supervisor: Elizabeth Burroughs
Introduction to problem solving, sets, functions, logic, numerations systems as a mathematical structure, introductory number theory, rational, and irrational numbers and probability for prospective elementary school teachers.

M-136Q

Formerly
Math 131Q

Math for K-8 Teachers II

Course Supervisor: Brian Lindaman
Introductory coordinate geometry, constructions, congruence and similarity, concepts of measurement, problem solving, probability, and statistics for prospective elementary school teachers.

M-145Q

Formerly
Math 150Q

Math for the Liberal Arts

Course Supervisor: John Lund
Basic skills in applicable mathematics including financial matters (simple and compound interest, annuities and loans), trigonometry and some elementary statistics.

M-147Q

Formerly
Math 1510Q

Language of Mathematics

Course Supervisor: Warren Esty
Basic skills in reading comprehension and writing skills in the language of mathematics; vocabulary, grammar, syntax and logic; emphasis on understanding, expressing, proving, and thinking mathematical thoughts..

M-149Q

Formerly
Math 149Q

Secrets of the Infinite

Instructor: Judy Tucker
Intriguing problems, puzzles, and paradoxes studied from an historical perspective. Hands-on thought experiments follow mathematical ideas as they evolved from ancient beginnings into their modern contexts. Topics vary by semester.

M-151Q

Formerly
Math 160Q

Precalculus

Course Supervisor: Warren Esty
A course designed to produce a deep understanding of algebra and trigonometry so students will be well-prepared for calculus.

M-161Q

Formerly
Math 170Q

Survey of Calculus

Course Supervisor: Russ Walker
A survey of basic calculus including limits, differentiation, and integration with applications to business, biology, and social science problems.

M-165Q

Formerly
Math 175Q

Calculus for Technology I

Course Supervisor: Jack Dockery
Calculus with emphasis on problems of interest to engineering technologists. Includes analytic geometry, differentiation, and introduction to integration.

M-166Q

Formerly
Math 176Q

Calculus for Technology II

Course Supervisor: Jack Dockery
Calculus with emphasis on problems of interest to engineering technologies. Includes analytic geometry, differentiation, and introduction to integration.

M-171Q

Formerly
Math 181Q

Calculus I

Course Supervisor: Marcy Barge
This first semester of calculus concentrates on the fundamentals of the derivative and its applications: tangent lines to curves; optimization problems; velocity and acceleration. There is also an introduction to integration with applications to geometry and physics.

M-172Q

Formerly
Math 182Q

Calculus II

Course Supervisor: Jack Dockery
The second semester of calculus covers integration theory, methods of integration, applications of the integral, Taylor's theorem, infinite sequences and series. The course also includes a brief coverage of parametric and polar equations.

M-182Q

Formerly
Math 191Q

Honors Calculus II

Instructors: Russ Walker and Lisa Davis
Topic coverage parallels M 172 but with a greater emphasis on theory and more difficult problems.

M-221

Formerly
Math 221

Introduction to Linear Algebra

Course Supervisor: Jarek Kwapisz
Matrix algebra, systems of linear equations, determinants, vector algebra and geometry in Euclidean 3-space, eigenvalues, eigenvectors.

M-242

Formerly
Math 256

Methods of Proof

Course Supervisor: David Yopp
Reasoning and communication in mathematics, including logic, generalization, existence, definition, proof, and the language of mathematics. Topics include functions, relations, set theory, recursion, algebra, number theory, and other areas of mathematics.

M-273Q

Formerly
Math 224Q

Multivariable Calculus

Course Supervisor: Lukas Geyer
Topics in two and three dimensional geometry. Manipulation and application of vectors. Functions of several variables, contour maps, graphs, partial derivatives, gradients, double and triple integration, vector fields, line integrals, surface integrals, Green's Theorem, Stoke's Theorem, the Divergence Theorem.


M-274

Formerly
Math 225Q

Introduction to Differential Equations

Course Supervisor: Lisa Davis
An introduction to the qualitative and quantitative methods for ordinary differential equations. Topics include modeling via differential equations, linear and nonlinear first order differential equations, linear second order differential equations, higher order linear equations (limited discussion), Laplace transform techniques, series solutions and first order systems(limited discussion).

M-284Q

Formerly
Math 235

Honors to Differential Equations

Instructor: Tianyu Zhang
Topic coverage parallels M 274 but with a greater emphasis on theory and more difficult problem solving.

M-382

Formerly
Math 362Q

Advanced Calculus II

Course Supervisor: Warren Esty
A rigorous development of multivariate calculus. Differentiable functions, inversion theorem, multiple integrals, line and surface integrals, infinite series.
 
 
Statistics Courses - Undergraduate


STAT 201


Statistics in the World
Course Supervisor: Mark Greenwood
Discusses statistical reasoning and methods as related to today's society.  
Emphasizes ideas rather than specific techniques. Focuses on real examples of the use (and misuse) of statistics. Includes sampling, experimentation, inscriptive statistics, elementary probability and statistical inference.


STAT 216

Introduction to Statistical Concepts

Course Supervisor: Heidi Lindsey
Traditional and robust estimates of location and variability, fundamentals of probability theory, confidence intervals, and tests of hypothesis for normal distributions.

STAT 217

Intermediate Statistical Concepts

Course Supervisor: Mark Greenwood
One-and two sample tests and associated confidence intervals for means and proportions; one-way analysis of variance; F-tests, correlation, regression, contingency tables. Statistical analysis using the computer.
 


Updated: 03/22/2012