2020-2021 Undergraduate Catalog [ARCHIVED CATALOG]
Course Descriptions
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This section of the Catalog includes course descriptions, listed alphabetically by discipline. The descriptions provide information on course numbers, titles, the level of instruction, credit, course sequence, content, and prerequisites as shown in the following example:
CHE 2100 Introduction to Organic and Biological Chemistry
Credits: 5
Prerequisite: CHE 1100
Description: A study of the elements of organic and biological chemistry. This course satisfies requirements for nursing programs and other fields requiring a survey of organic and biological chemistry.
The first two to four letters, called the course subject code, represent the area of study or discipline, e.g., CHE represents chemistry. The course number follows the course subject code, e.g., 2100. The first digit in a four-digit course number designates the level of instruction. Only courses numbered 1000 or above will be included in credits toward a degree. Courses with numbers up to and including 1999 are primarily for freshmen, 2000 through 2999 primarily for sophomores, 3000 through 3999 primarily for juniors, and 4000 through 4999 primarily for seniors. In general, students should not take courses above the level of their class (based upon semester hours earned), but they may do so at one level above if they have the specified prerequisites. In special cases, students may be permitted to take courses more than one level above that designated for their class if they obtain the permission of their advisor and of the faculty member teaching the course and if they meet the prerequisite requirements. Course descriptions provide a summary of the content of the course. If a prerequisite must be met before a student can register for a course, this information is listed above the course description. Attributes, such as Multicultural, General Studies, or Guaranteed Transfer, are listed after the course description. A list of courses being offered in a given semester, instructors, class meeting times, and locations is described in the Class Schedule.
Types of Courses
- Regular courses appear in this section of the University Catalog and are offered on a regular basis.
- Independent study courses provide students the opportunity to pursue in-depth study of a topic of special interest. Independent study courses are specified as 498_ and include an alpha character in the course number. Independent study courses are published in the Class Schedule.
- Special topics or omnibus courses are temporary courses that are not listed in the Catalog. They may be used to pilot-test a course, present a special topic, or provide a unique, experiential-learning opportunity. Omnibus courses use a specified range of course numbers: 190_, 290_, 390_, 490_ and include an alpha character in the course number. Omnibus courses are published in the Class Schedule.
- Variable topics courses allow courses of varying titles under an overall theme or “umbrella” course. Variable topic courses include an alpha character in the course number and are published in the Class Schedule.
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Mathematical Sciences |
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MTH 1400 - Precalculus Mathematics
Credits: 4
Prerequisite(s): Completion of either MTH 1109 or MTH 1110 or MTH 1111, and MTH 1120 with grades of “C-” or better or other evidence showing knowledge of this material or an appropriate score on a department-approved placement test.
Description: This is a course covering the essentials of the algebraic and graphical properties of the polynomial, rational, exponential, logarithmic, and trigonometric functions. It is designed to prepare students for MTH 1410. All sections will integrate the use of a graphing calculator into the course.
Note: A specific calculator will be required.
Guaranteed Transfer: GT-MA1
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MTH 1410 - Calculus I
Credits: 4
Prerequisite(s): Either MTH 1109 or MTH 1110 or MTH 1111, and MTH 1120, with grades of “C-” or better, or MTH 1400 with a grade of “C-” or better
Description: This is a first course in calculus for science and engineering. The topics covered include derivatives of polynomials, trigonometric, exponential and logarithmic functions, applications of the derivative, the definite integral, and the fundamental theorem of calculus. All sections of the course will make integrated use of the software package Mathematica and/or a graphing calculator.
Note: Credit will be granted for only one prefix: HON or MTH.
Guaranteed Transfer: GT-MA1
Cross Listed Course(s): HON 1410
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MTH 1610 - Integrated Mathematics I
Credits: 3
Prerequisite(s): Three semesters of high school algebra or equivalent, and an appropriate score on the mathematics preassessment test or permission of instructor.
Description: This course integrates mathematical topics, including those from algebra, geometry, probability and statistics. Students take a concept-oriented approach to: exploring critical problems from an advanced standpoint; deriving and justifying multiple solutions; and analyzing and communicating the reasoning behind these solutions.
General Studies: Quantitative Literacy
Guaranteed Transfer: GT-MA1
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MTH 2140 - Computational Matrix Algebra
Credits: 2
Prerequisite(s): MTH 1120 or MTH 1400 or equivalent, with a grade of “C-” or better
Description: This course is an introduction to computational matrix algebra. The computations will be done by hand and by using an appropriate software package. The course will include the following topics: matrix operations, determinants, solutions of linear systems of equations, and eigenvalues and eigenvectors.
Note: Only one of the three courses MTH 2140, 3130, 3140 can be counted in the Mathematical Sciences major or minor.
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MTH 2410 - Calculus II
Credits: 4
Prerequisite(s): MTH 1410 with a grade of “C-” or better, or permission of instructor
Description: This is a second course in calculus. The topics covered include techniques of integration, applications of the integral and infinite series, including Taylor’s series. All sections of the course will make integrated use of the software package Mathematica and/or a graphing calculator.
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MTH 2420 - Calculus III
Credits: 4
Prerequisite(s): MTH 2410 with a grade of “C-” or better, or Permission of instructor
Description: This course in the calculus of functions of more than one variable includes the following topics: partial derivatives, definite integrals over plane and solid regions, vectors and their applications, and Green’s Theorem and its generalizations. All sections of the course will make integrated use of the software package Mathematica.
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MTH 2510 - Computer Programming with Mathematica
Credits: 4
Prerequisite(s): MTH 1410 with a grade of “C-” or better; or permission of instructor
Description: This is an introductory programming course using the software package Mathematica for students in mathematics. Programming types will include structured, functional, and rule-based.
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MTH 2520 - R Programming
Credits: 4
Prerequisite(s): MTH 1110 with a grade of “C-” or better, or MTH 1112 with a grade of “C-” or better, or MTH 1310 with a grade of “C-” or better, or permission of instructor
Description: This is an introductory course in scientific programming with applications in statistics and mathematics, as well as the natural, physical and social sciences, using the R programming language. R is a free, open-source tool that is widely used for analyzing and processing data. Students will learn basic programming skills, including writing functions, managing data sets, and creating customized graphics.
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MTH 2620 - Integrated Mathematics II
Credits: 3
Prerequisite(s): MTH 1610 with a grade of “C-” or better, or permission of instructor
Description: This course continues the concept-oriented, integrated study of mathematical topics including those from algebra, geometry, statistics, and combinatorics. Students further deepen their mathematical understanding and their ability to justify solutions and analyze and communicate their reasoning about complex problems.
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MTH 3100 - Introduction to Mathematical Proofs
Credits: 3
Prerequisite(s): MTH 2410 with a grade of “C-” or better, and Permission of the Department of Mathematical and Computer Sciences
Description: This course is designed to introduce the student to mathematical proofs and abstract mathematics with topics in logic, induction, sets, relations, and functions.
Note: Credit will be granted for only one of the two courses MTH 3100 or MTH 3170.
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MTH 3110 - Abstract Algebra I
Credits: 3
Prerequisite(s): MTH 3100 with a grade of “C-” or better; or Permission of instructor
Description: This course is a survey of the principle structures of modern abstract algebra, including introductions to the theories of groups, rings, integral domains, and fields. Each structure is introduced by examples, then basic properties are derived, and the appropriate applications are introduced.
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MTH 3130 - Advanced Matrix Methods for the Physical Sciences
Credits: 4
Prerequisite(s): MTH 2410 with a grade of “C-” or better
Description: This is a course in the principles and application of matrix methods, primarily to problems in science and engineering fields. Topics include solving systems of linear equations, matrix algebra, the vector space R”, eigenvalues and eigenvectors, and orthogonality, with a focus on applications. A software package will be used in this course.
Note: Only one of the three courses MTH 2140, MTH 3130, MTH 3140 can be counted in the Mathematical Sciences major or minor.
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MTH 3140 - Linear Algebra
Credits: 4
Prerequisite(s): MTH 3100 with a grade of “C-” or better, or MTH 3170 with a grade of “C-” or better, or permission of instructor
Description: This course is an introduction to the theory and application of vector spaces, linear transformations, matrix representations, eigenvalues, and eigenvectors. A software package will be used in this course.
Note: Only one of the three courses MTH 2140, MTH 3130, or MTH 3140 may be counted in the mathematics major or minor. Credit will be granted for only one prefix: HON or MTH.
Cross Listed Course(s): HON 3140
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MTH 3170 - Discrete Mathematics for Computer Science
Credits: 4
Prerequisite(s): MTH 2410 and CS 2050 and permission of the Department of Mathematical and Computer Sciences.
Description: This course provides a foundation in mathematical proofs and abstract mathematics in the context of discrete mathematics. Mathematical topics in the course are chosen for their relevance to computer science, and include combinatorics, set theory, graph theory, and recurrence relations. Only one of MTH 3100 and MTH 3170 will count toward graduation.
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MTH 3210 - Probability and Statistics
Credits: 4
Prerequisite(s) or Corequisite(s): MTH 2410 with grade of C- or better or permission of instructor
Description: This is a course in the application and theory of the principles of probability and statistics in the sciences and engineering. It includes descriptive statistics, linear regression, probability, random variables and their distributions, estimation, and tests of hypotheses.
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MTH 3220 - Statistical Methods
Credits: 4
Prerequisite(s): MTH 3210 with a grade of “C-” or better, or permission of instructor
Description: This is a course in the application and theory of statistical inference in science and engineering. It includes two sample inferences, experimental design, analysis of variance, nonparametric statistics, chi-squared tests, and regression analysis.
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MTH 3230 - Stochastic Processes
Credits: 4
Prerequisite(s): MTH 3210, and MTH 2140 or MTH 3130 or MTH 3140, all with a grade of C- or better, or permission of the instructor
Description: This course gives a general introduction to random processes and their applications. It includes Markov chains, Markov processes, random walks, branching processes, the Poisson process, queuing theory, and Brownian motion.
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MTH 3240 - Environmental Statistics
Credits: 4
Prerequisite(s): MTH 1210 and either MTH 1110 or MTH 1112 with grades of “C-” or better, or permission of instructor
Description: This is a course in inferential statistics, sampling techniques, and quality control as they relate to environmental issues. Students will work with data and problems related to the environmental science field of study. This course does not count towards a major or minor in mathematics.
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MTH 3270 - Data Science
Credits: 4
Prerequisite(s): MTH 2520 or CS 2050, and either MTH 1210 or MTH 3210, all with grades of C- or better, or permission of the instructor.
Description: Data science combines elements from statistics, data analysis, computer programming, and machine learning to form a new field concerned with gleaning information from various forms of data. Using real-world data and active learning, this course covers topics that include data visualization, data wrangling and tidying, statistical modeling, statistical learning, and database querying.
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MTH 3400 - Chaos and Nonlinear Dynamics
Credits: 4
Prerequisite(s): MTH 2410 with a grade of C- or better, or permission of instructor.
Description: This course is an introduction to dynamical systems from the extension of Newtonian physics to the modern development of chaos theory and nonlinear dynamics. The dynamics of linear and nonlinear systems are analyzed. Applications to numerous physical systems are studied. Algorithms for generating intricate fractal images and the mathematics behind the images are also developed.
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MTH 3420 - Differential Equations
Credits: 4
Prerequisite(s): MTH 2420 with a grade of “C-” or better, or Permission of instructor
Description: This course includes a study of first, second, and higher order differential equations and systems giving solutions in closed form, by numerical approximations, and through Laplace Transforms. These techniques are applied to problems in the physical sciences and engineering. All sections will integrate the use of the software package Mathematica into the course.
Note: Credit will be granted for only one prefix: HON or MTH.
Cross Listed Course(s): HON 3420
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MTH 3430 - Mathematical Modeling
Credits: 4
Prerequisite(s): MTH 3420 Differential Equations, with a “C-” or better, or permission of the instructor.
Description: In this course, students learn the advanced mathematical modeling process through derivations and analysis of standard mathematical models (deterministic, stochastic, and numerical). This modeling process expands on material from calculus and differential equations. Students also utilize software/programming to implement numerical models. Students translate real-world problems into mathematical models, use these to make predictions, and evaluate the effectiveness of their models. Students reflect on mathematical models and suggest ways to improve them. Upon successful completion of this course, students should be able to effectively communicate to the broader community the meaning and significance of the mathematical models studied as well as the importance of mathematical modeling in general.
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MTH 3440 - Partial Differential Equations
Credits: 4
Prerequisite(s): MTH 3420 with a grade of “C-” or better, or Permission of instructor
Description: This is a course in partial differential equations and their solutions. It includes separation of variables techniques, Fourier series, and applications to the heat equation, the wave equation, and the potential equation. All sections will integrate the use of the software package Mathematica into the course.
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MTH 3470 - Introduction to Discrete Mathematics and Modeling
Credits: 4
Prerequisite(s): MTH 2410 with a grade of “C-” or better, or permission of instructor
Description: This is a problem-solving course, emphasizing (1) the use of cogent arguments to justify solutions to a wide variety of mathematical problems in combinatorics and graph theory and (2) the development of mathematical models to solve problems that arise in the digital world and in the physical, biological, or social sciences.
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MTH 3510 - SAS Programming
Credits: 4
Prerequisite(s): MTH 3210 with a grade of “C-” or better; or permission of instructor
Description: This course covers techniques of data management using SAS programming. It includes reading and manipulating various types of data, creating reports, applying statistical procedures, and the use of SAS Enterprise Miner for data mining. At the end of the course the students take the “SAS BASE PROGRAMMER” certification exam (administered by the SAS Corporation).
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MTH 3650 - Foundations of Geometry
Credits: 3
Prerequisite(s): MTH 3100 with a grade of “C-” or better, or Permission of instructor
Description: This course will reexamine Euclidean geometry via Hilbert’s axioms. This will allow a coherent approach to projective, Euclidean, non-Euclidean, and other related geometries. It is designed for prospective secondary teachers and others interested in modern geometric theories.
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MTH 4110 - Abstract Algebra II
Credits: 3
Prerequisite(s): MTH 3110 or permission of instructor
Description: This course is a continuation of MTH 3110 with emphasis on an in-depth study of the properties of the structures introduced in MTH 3110. Topics include ideals and their properties, factor groups and factor rings, principal ideal domains, and field extensions, and will also include selections from advanced group theory, Galois theory, and finite fields.
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MTH 4150 - Elementary Number Theory
Credits: 3
Prerequisite(s): MTH 3100 with a grade of C- or better, or permission of instructor
Description: This course introduces the basic concepts of number theory including the Euclidean algorithm, congruences, number-theoretic functions, and the Chinese remainder theorem.
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MTH 4210 - Probability Theory
Credits: 4
Prerequisite(s): MTH 3210 with a grade of C- or better or permission of instructor
Prerequisite(s) or Corequisite(s): MTH 2420 with a grade of C- or better
Description: This is a course in the theory of discrete and continuous probability with applications in the sciences and engineering. It includes sample spaces, combinatorial probability, conditional probability, random variables, expectation and higher moments, and joint distributions.
Note: Course Revised 6/24/2020
University Requirement(s): Senior Experience
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MTH 4230 - Regression and Computational Statistics
Credits: 4
Prerequisite(s): MTH 3220 and either MTH 2140, MTH 3130 or MTH 3140, all with grades of “C-” or better, or permission of instructor
Description: This course will cover advanced methods in regression analysis. Topics will include regression with one predictor variable, diagnostics and remedial measures, multiple regression, time series analysis and logistic regression. The students will use a statistical computer package.
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MTH 4250 - Statistical Theory
Credits: 4
Prerequisite(s): MTH 4210 with a grade of “C-” or better; or permission of instructor
Description: This course covers the general mathematical theory that governs statistical inference. This includes a review of distribution theory and sampling distributions, theory of point estimation, theory of hypothesis testing, and theory of confidence intervals. In addition, it introduces decision theory and Bayesian analysis.
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MTH 4290 - Senior Statistics Project
Credits: 1
Prerequisite(s): MTH 3210, MTH 3220, MTH 4210, and Permission of instructor
Description: In this course, students will apply the statistical techniques covered in previous course work to a real-world situation. The students will write a report containing a description of the problem, statistical tools used, design of experiments, analysis, and results of the study.
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MTH 4410 - Real Analysis I
Credits: 4
Prerequisite(s): MTH 2420 and MTH 3100, each with a grade of “C-” or better, and senior standing, or permission of instructor
Description: This course in real analysis provides a rigorous development of the fundamental results from the Calculus of one variable. Topics include the structure of the real number system, sequences, continuous functions, differentiable functions, and the Riemann integral.
University Requirement(s): Senior Experience
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MTH 4420 - Real Analysis II
Credits: 3
Prerequisite(s): MTH 4410 with a grade of “C-” or better, or permission of instructor
Description: This course is a continuation of MTH 4410. It provides a rigorous development of infinite series, sequences & series of functions, and additional analysis topics chosen by the instructor.
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MTH 4450 - Complex Variables
Credits: 4
Prerequisite(s): MTH 2420 with a grade of C- or better, or permission of instructor
Description: This course is an introduction to complex numbers, analytic functions, conformal mapping, contour integrals, and residues and poles.
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MTH 4480 - Numerical Analysis I
Credits: 4
Prerequisite(s): MTH 2510 or MTH 2520 or CS 1050, and MTH 3140 or MTH 2140, and MTH 2410, all with grade of “C-” or better, and Senior standing, or permission of instructor
Description: This course includes numerical solutions of algebraic and transcendental equations, numerical differentiation and integration, numerical linear algebra, and polynomial interpolation. The use of a computer is an essential part of this course.
University Requirement(s): Senior Experience
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MTH 4490 - Numerical Analysis II
Credits: 4
Prerequisite(s): MTH 3420 and MTH 4480 with grades of “C-” or better, or permission of instructor.
Description: This course includes approximation of functions, non-linear systems, numerical solutions of differential equations, and numerical techniques of integration.
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MTH 4600 - Seminar in Problem Solving
Credits: 1
Prerequisite(s): MTH 3100 or MTH 3420 or Permission of instructor
Description: This is a seminar in mathematical problem solving. Students will investigate factors of problem solving, such as belief systems, control mechanisms, heuristics, and mathematical resources. This investigation will be carried out in the context of working on a collection of problems designed to illustrate these factors. Problems from the William Lowell Putnam National Mathematics Examination are included in this collection.
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MTH 4640 - History of Mathematics
Credits: 4
Prerequisite(s): At least two of the following four courses: MTH 3110, MTH 3140, MTH 3210, MTH 3650, with grades of “C-” or better, senior standing, or permission of instructor
Description: In this course, students will learn about the history of mathematics through the discussion of mathematical problems from ancient to modern times and the people who formulated or solved them.
University Requirement(s): Senior Experience
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MTH 4660 - Introduction to Topology
Credits: 3
Prerequisite(s): MTH 3100 or permission of instructor
Description: This course includes topological spaces, functions, mappings and homeomorphisms, continuity, compactness, connectedness, some separation axioms, and metric spaces.
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Mathematics Teaching and Learning |
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MTL 3600 - Mathematics of the Elementary Curriculum
Credits: 3
Prerequisite(s): MTH 1610
Description: This course approaches mathematical concepts outlined in Colorado Model Content Standard for Mathematics (grades K-6) from an advanced perspective. By examining video and written cases of children doing mathematics, students in this course will (1) connect their developing understanding of mathematics to the important mathematical concepts they will be required to teach; (2) turn their attention from understanding their own mathematical thinking, and the thinking of their classmates, to understanding the mathematical thinking of children; (3) lay the foundation for being able to learn mathematics from teaching.
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MTL 3620 - Mathematics of the Secondary Curriculum
Credits: 4
Prerequisite(s): MTH 3100 and at least 12 additional hours of upper-division mathematics, all with grades of “C-” or better, or Permission of instructor
Description: This course, to be taken in the semester immediately prior to MTL 3630, approaches the mathematical concepts outlined in the Colorado Model Content Standards for Mathematics from an advanced perspective. The course uses standards-based curriculum materials as the focus for: (1) exploration of the central ideas of the mathematics curriculum in grades 7 through 12 and the connections among them, and (2) making explicit the connections between content covered in the mathematics courses required for the major and content taught in the school mathematics classrooms.
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MTL 3630 - Teaching Secondary Mathematics
Credits: 3
Prerequisite(s): MTL 3620 or Permission of instructor
Corequisite(s): MTL 3638 or permission of instructor
Description: This course examines teaching practice that supports conceptual understanding of mathematical ideas for all students in diverse classrooms. Prospective teachers enrolled in this course analyze teaching with particular attention to: planning for instruction; selecting and adapting curriculum materials; establishing classroom norms and expectations; fostering mathematical discourse; and assessing students’ developing mathematical understanding. This course must be taken along with MTL 3638 - Secondary Mathematics Field Experience in the semester immediately prior to MTL 4690 - Student Teaching and Seminar: Secondary 7-12 . At the end of this course, students will have intermediate to advanced skills in the selection, operation, and classroom use of technologies including graphing calculators, computers and the Internet.
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MTL 3638 - Secondary Mathematics Field Experience
Credits: 2
Prerequisite(s): MTL 3620 or Permission of instructor
Corequisite(s): MTL 3630 or permission of instructor
Description: Prospective teachers enrolled in this course will spend at least 80 hours with a mentor teacher in a secondary mathematics classroom. During this time, prospective teachers will apply the mathematical knowledge base developed in the mathematics major and in MTL 3620, and the framework for teaching developed in MTL 3630, to the problems of practice that arise in public-school classrooms of diverse learners. Prospective teachers in this course will direct a Secondary Mathematics Lesson Study, a mini teacher work sample.
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MTL 3710 - Number and Operations for Elementary Mathematics
Credits: 3
Prerequisite(s): MTL 3600 with a grade of “C-” or better, or permission of instructor
Description: This course is an in-depth exploration of number and operations concepts that are relevant to elementary education. Topics will include pre-number concepts, place-value notation, decimals, scientific notation, basic number systems, interpretations and representations of numerical operations, and multiplicative reasoning.
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MTL 3720 - Algebra Connections for Elementary Mathematics
Credits: 3
Prerequisite(s): MTL 3600 with a grade of “C-” or better, or permission of instructor
Description: This course is an in-depth exploration of algebra concepts that are relevant to elementary education. Topics will include algebraic axioms as generalizable properties of elementary arithmetic, algebraic notation, equations and inequalities, functions, and algebraic modeling.
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MTL 3730 - Geometry and Measurement for Elementary Mathematics
Credits: 3
Prerequisite(s): MTL 3600 with a grade of “C-” or better, or permission of instructor
Description: This course is an in-depth exploration of geometry and measurement concepts that are relevant to elementary education. Topics will include representation of 3-dimensional objects in two dimensions, composition and decomposition of geometric figures, congruence and similarity, standard and non-standard measurement, basic geometric figures and their properties, plane coordinates, transformations, and an introduction to axiomatic reasoning and proof.
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MTL 3740 - Statistics and Probability for Elementary Mathematics
Credits: 3
Prerequisite(s): MTL 3600 with a grade of “C-” or better, or permission of instructor
Description: This course is an exploration of basic concepts of statistics and probability that are relevant to elementary education, including the application of these concepts to the interpretation of educational research and the assessment of student learning. Topics will include the nature and use of data, types of data, representations of data, basic concepts of probability, conclusions and inference with a focus on educational research, an introduction to qualitative research, and assessment of student learning.
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MTL 3750 - Number and Algebra in the K-8 Curriculum
Credits: 3
Prerequisite(s): MTL 3600 and (MTH 1110 or MTH 1112 or MTH 1108) all with a grade of “C-” or better, or permission of instructor
Description: This course is focused on “Mathematical Knowledge for Teaching” (Hill, Rowan, & Ball, 2005) in the context of number and algebra. It is an in-depth exploration of number and algebra concepts relevant to K-8 education. Topics related to numbers include place value, basic number systems, interpretations and representations of numerical operations, and multiplicative reasoning. Algebra topics include algebraic axioms as generalizable properties of elementary arithmetic, algebraic notation, equations and inequalities, functions, representations of functions (symbolic, tabular, graphical), and algebraic modeling.
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MTL 3760 - Geometry and Statistics in the K-8 Curriculum
Credits: 3
Prerequisite(s): MTH 2620 with a grade of “C-” or better, or permission of instructor
Description: This course is focused on “Mathematical Knowledge for Teaching” (Hill, Rowan, & Ball, 2005) in the context of geometry and statistics. This course is an in-depth exploration of geometry and statistics concepts that are relevant to K-8 education. Geometry topics include congruence and similarity, measurement, basic geometric figures and their properties, plane coordinates, transformations, and an introduction to axiomatic reasoning and proof. Statistics topics include the nature and use of data, types of data, representations of data, basic concepts of probability, conclusions and inference with a focus on educational research, and assessment of student learning.
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MTL 3850 - STEM Teaching and Learning
Credits: 2
Prerequisite(s): MTH 1110 or Permission of the instructor
Description: This course serves as a STEM pedagogy seminar with a focus on conceptual development, conceptual change, collaborative learning, students’ conceptions of various topics in mathematics and science, practical issues encountered in facilitating learning, managing the classroom, formative and summative assessment, and differentiating instruction in a collaborative environment.
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MTL 3858 - STEM Teaching and Learning Practicum
Credits: 1
Prerequisite(s): MTH 1110 or permission of instructor
Corequisite(s): MTL 3650
Description: This course is the attached practicum experience for the STEM Teaching and Learning pedagogy seminar that is required for the Mathematics Major with Education concentration. Students will use the practicum to enhance practical experience and understanding of key concepts from the co-requisite STEM seminar by working with faculty mentors for a focused classroom experience.
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MTL 4690 - Student Teaching and Seminar: Secondary 7-12
Credits: 12
Prerequisite(s): completion of all mathematics course work and all teacher education course work required for licensure; department approval of all GPA requirements; completion of Application for Student Teaching
Description: This course is a 16-week, full-time field experience with a skilled mathematics mentor teacher, supervised by an “MTL mentor,” the official college supervisor, in an accredited secondary school. Prospective teachers who enroll in this course will, with the close and continual support of the mentor-teacher, take on increasing responsibility for, and learn from, all aspects of the work of a full-time mathematics teacher. Prospective teachers and their mentors will participate in two Secondary Mathematics Lesson Studies (which, together, constitute the teacher work sample), and in regular seminars conducted by the MTL mentor and other members of the Department of Mathematical and Computer Sciences.
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MTL 4710 - Issues in Elementary Mathematics Education
Credits: 3
Prerequisite(s): MTL 3600 and at least two of MTL 3710, MTL 3720, MTL 3730, or MTL 3740, all with a grade of “C-” or better, or permission of instructor
Description: This course covers a variety of topics relevant to the role of an elementary mathematics specialist, including issues related to teaching such as equity and diversity, classroom environment, and basic ideas from cognitive psychology and learning theory. It will also cover issues related to mathematics education leadership, such as mathematics coaching, professional development, history of mathematics education, and the interpretation of data from national and international mathematics assessments.
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Mechanical Engineering Technology |
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MET 1000 - Introduction to Mechanical Engineering Technology
Credits: 3
Description: This is an introductory course in mechanical engineering technology. Emphasis is placed on the design and creative process with examples from different areas within engineering technology. Students will learn how to develop the tools necessary to be successful in school and in industry by using theory, computer software, and working realworld problems. The engineering profession and its relation to current national, social, industrial, ethical, and international issues and problems will be discussed.
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MET 1010 - Manufacturing Processes
Credits: 3
Description: Basic fundamentals in the operation of machine tools are studied, including measuring tools, benchwork and layout, and tool grinding. The student performs various machine operations using the engine lathe, milling machine, vertical drills, and surface grinders.
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MET 1040 - Introduction to Engineering
Credits: 3
Prerequisite(s): Minimum performance standard score on math placement test
Description: This course is an introductory engineering course exposing students to a cross section of topics in contemporary civil, electrical and mechanical engineering disciplines to assist them with their education career choices. Students are taught to work in teams, introduced to the design process, utilize math and computer programs to analyze raw data and properly display their results in a presentation to their peers. The history of the engineering profession and its relation to current national, social, industrial, ethical, and international issues and problems will be discussed.
Note: Credit will be granted for only one prefix: CET, EET, or MET.
Course Revised August 12, 2020
General Studies: Natural and Physical Sciences
Guaranteed Transfer: GT-SC2
Cross Listed Course(s): CET 1040, EET 1040
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MET 1050 - Introduction to Space
Credits: 3
Description: This course introduces students to the challenges of working in space. Course activities lead to the design and construction of a working satellite for launch. The course is designed for both engineering and non-engineering students.
Note: Credit will be granted for only one prefix: AES or MET.
Cross Listed Course(s): AES 1050
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MET 1200 - Technical Drawing I
Credits: 3
Description: This is an introductory course in technical drawing. It covers the use of manual drawing instruments, lettering, various geometric constructions, and multi-view orthographic engineering drawings. It introduces 2-D technical drawing using computer-aided design software.
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MET 1210 - 3D Modeling
Credits: 3
Prerequisite(s): MET 1200 or IND 1450 or CET 1215 with a grade of “C” or better; or permission of instructor
Description: This is a basic design course, which is designed to familiarize students with functional 3-D modeling using an appropriate software package. The course covers the basic functions needed to create part models, assemblies, and drawings. Emphasis is on the design philosophy, used in creating parts and assemblies.
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MET 1310 - Principles of Quality Assurance
Credits: 3
Prerequisite(s): Intermediate algebra or equivalent with a grade of “C” or better
Description: The course introduces the scope and function of quality assurance, including basic definitions, statistics, quality policy and objectives, manuals and procedures, concept of variation, inspection and sampling techniques, meteorology process control, methods and the elements of reliability. Current TQM and ISO 9000 standards are reviewed.
Cross Listed Course(s): HON 1310
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MET 2010 - CNC Machining & Inspection
Credits: 3
Description: This course introduces computer numerical control machine tools. Topics include CNC programming for machine setup, operation, and basic applications along with machined part inspection. Upon completion, students should be able to explain a CNC program, data input, and machine tool operation. Student will be able to compare dimension of physical components against technical drawings for quality control.
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MET 2200 - Materials of Engineering
Credits: 3
Prerequisite(s): MTH 1110 or MTH 1400 with grades of “C” or better
Prerequisite(s) or Corequisite(s): CHE 1100 or CHE 1800 with grade of “C” or better
Description: This lecture/laboratory course deals with basic properties of metals and non-metals, including the properties and behavior that govern their selection and design. Materials covered include ferrous and nonferrous metals, composites, plastics, ceramics, glass, wood, rubber and adhesives.
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MET 3000 - Manufacturing Analysis
Credits: 4
Prerequisite(s): MET 1010 or IND 2830, MET 1310, and MTH 1110 or MTH 1400, all with a grade of “C” or better
Description: This course introduces the organizational and functional requirements for effective production. Tolerance charts and work piece control are used to plan the manufacturing sequence, select the preferred manufacturing equipment and the operational sequence.
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MET 3070 - Machine Design
Credits: 3
Prerequisite(s): MET 2200, CET 3135, and MET 3160 with grades of “C” or better
Description: The art of designing machines to accomplish specific purposes is studied. The student is introduced to the fundamental principles required to design the separate machine elements. The economics of design are stressed along with strength and safety considerations. The lab work uses selected software, e.g., ALGOR and AutoCAD, to produce the preferred design.
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MET 3100 - N/C Computer Programming
Credits: 3
Prerequisite(s): MET 1010 or IND 2830, MET 1210, and MTH 1120 with grades of “C” or better
Description: The theory is reviewed to control machines numerically. Algorithms are developed to program NC machines. N/C language and programming emphasizes APT, Compact II and suitable post-processors. The lab work includes operation of machines to demonstrate the programming skills.
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MET 3110 - Thermodynamics
Credits: 3
Prerequisite(s): MTH 1410 and PHY 2311 with grades of C or better, or permission of instructor
Description: The fundamental laws of thermodynamics are studied. Basic concepts of energy, the thermodynamic system, dimensions and units, and the ideal-gas equation of state are studied. The course also covers closed and open systems, heat engines as well as reversible and irreversible processes.
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MET 3125 - Heat Transfer with Laboratory
Credits: 3
Prerequisite(s): PHY 2311 with a grade of “C” or better
Description: The three basic mechanisms of heat transmission are studied. Conduction, convection (free and forced), and radiant transmission are treated for both steady-state and transient conditions. The transient study is aided by computer solutions. The laboratory component provides experimental results for various conduction and convection tests. The student selects and installs thermocouples, calibrates equipment, records transient and steady-state data, analyzes results, compares data to theoretical predictions, and reports findings.
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MET 3160 - Mechanics II-Dynamics
Credits: 3
Prerequisite(s): CET 2150 and MTH 2410 with grades of “C” or better; or permission of instructor
Description: This course covers the principles of dynamics: Students learn about kinematics which is the study of the geometry of motion of a body without reference to the forces that cause the resulting motion. The course also covers kinetics which is the study of the relation existing between the forces acting on the body, the mass of the body, and the motion of the body.
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MET 3185 - Fluid Mechanics
Credits: 3
Prerequisite(s): MET 3160 with a grade of “C” or better or permission of instructor
Description: In this course, the following topics will be covered: physical properties of fluids, hydrostatics, kinematics, energy considerations, momentum, incompressible flow in pipes, compressible internal flow, pneumatic systems, flowloss calculations and flow measurement methods. Laboratory work will include calibration and use of equipment to measure hydrostatic forces on objects, verification of Bernoulli Equation, losses in piping system, flow profiles, and other fluid systems.
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MET 3215 - Composites Manufacturing
Credits: 3
Prerequisite(s): MET 1010 or IND 2830, and MET 2200, or permission of instructor
Description: This course is designed to provide students with working knowledge in design, manufacturing and selection of fiber-reinforced composite materials for engineering applications. The course introduces the various manufacturing methods utilized in modern industries, such as aerospace, automotive, and renewable energy. Topics include inspection, damage control and repair techniques, as well as material handling, safety and environmental requirements. The course contains laboratory modules designed to provide hands-on experience to emphasize practical aspects of the topics covered.
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MET 3250 - Tool Design and Production Tooling
Credits: 3
Prerequisite(s): MET 2200 and MTH 1120 with grades of “C” or better
Description: The course deals with production tooling requirements and tooling cost estimates. Design of tooling for turret lathes, automatic screw machines, multiple spindle lathes, and production milling machines is treated.
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MET 3260 - Direct Digital Manufacturing
Credits: 3
Prerequisite(s): MET 1210 or IND 3660 with a grade of “C” or better
Description: In this combination lab lecture course, students explore the latest applications of digital 3D scanning and direct digital manufacturing. Through this course, students are introduced to current developments and the critical challenges of digital 3D technologies. Emphasis is placed on practical experience in utilizing departmental equipment to produce digital 3D tiles and output them to appropriate direct digital manufacturing equipment. Students will apply knowledge of 3D scanners for reverse engineering and direct digital manufacturing purposes.
Note: Credit will be granted for only one prefix: IND or MET.
Cross Listed Course(s): IND 3260
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MET 3300 - Statistical Process Control
Credits: 3
Prerequisite(s): MET 1310 and MET 3000 with grades of “C” or better
Description: This course focuses on statistical process control with emphasis on process capability, troubleshooting, analysis of variance and hypothesis testing.
Note: Credit will be granted for only one prefix: HON or MET.
Cross Listed Course(s): HON 3303
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MET 3310 - Thermodynamics II
Credits: 3
Prerequisite(s): MET 3110 and MTH 2410 with grades of “C” or better
Description: This, the second course in thermodynamics, deals with the consequence of the Second Law. The TDS equations are studied, as are entropy and efficiencies of some heat power engines. Standard gas and vapor cycles are investigated. The laboratory work includes various calorimetry, gravimetric and volumetric analyses, nozzles and internal combustion engine tests.
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MET 3320 - Instrumentation Laboratory
Credits: 3
Prerequisite(s): MET 3180 with a grade of “C” or better
Description: The student is introduced to standard mechanical tests and measurement techniques, e.g., installing thermocouples, strain gages, positioning static and total probes. ASME and ASTM test codes are studied, as are OSHA standards. Various physical property and system performance tests are set up, conducted and analyzed.
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MET 3330 - Robotics for Manufacturing
Credits: 3
Prerequisite(s): MET 2010 and EET 2000 with grades of “C” or better
Description: The course examines robotic components utilized in robots and automated systems. Manufacturing automation is analyzed as the robot is integrated with other flexible automation equipment. The focus is how to apply and design robotic, integrated, manufacturing systems. The laboratory work supplements the lectures using industrial robots for different applications.
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MET 3410 - Geometric Dimensioning and Tolerancing
Credits: 3
Prerequisite(s): MET 1210 and MET 1310 with grades of “C” or better
Description: Dimensioning practices as defined by ASME National Standards (Y14.5M-1994) are studied. Tolerance of form, tolerances of position, datums, concentricity, symmetry, and functional gaging concepts are also treated to produce low-cost and high-quality products.
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MET 3610 - 3D Modeling
Credits: 3
Prerequisite(s): MET 1200 with a grade of “C” or better
Description: This is a Pro/Engineer basic design course, which is designed to familiarize students with the basic functionality of Pro/Engineer software package. The course covers the basic functions needed to use Pro/E to create part models, assemblies, and drawings. Emphasis is on the Pro/E design philosophy, used in creating parts and assemblies.
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MET 3630 - Lean Manufacturing Systems Engineering
Credits: 3
Prerequisite(s): MET 3000 with a grade of “C” or better
Description: This course introduces the student to production principles, planning, evaluation, deployment, and integration of Lean manufacturing theory and methods. The course covers the concepts of Lean and Six Sigma for both manufacturing and service businesses. Students are provided an overview of Lean, Six Sigma, and the Kaizen problem-solving methodologies.
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MET 3735 - Computer Integrated Manufacturing
Credits: 3
Prerequisite(s): MET 3630 with a grade of “C” or better
Description: This lecture-based course emphasizes the integration of manufacturing enterprise using computer integrated manufacturing (CIM) technologies. It employs CAD/CAM interface and other CIM subsystems, database management, facility layout, product documentation, process planning, production planning and control, Group technology, teamwork, and manufacturing operations and management to bring about a student-designed CIM-oriented enterprise. Results of using CIM on all major elements of product design, and manufacturing production and operational control systems.
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MET 4000 - Project Engineering
Credits: 3
Prerequisite(s): Senior standing
Description: The student is introduced to the project or team effort. The need for planning, control, and communication is stressed. Critical path methods are used to develop schedules. Figure-of merit methods are used to select preferred approaches/designs. Technical writing is stressed with an introduction to competitive proposal writing.
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MET 4010 - Advanced Manufacturing Technology
Credits: 3
Prerequisite(s): Grades of “C” or better in MET 3000, MET 3330 and EET 2000; completion of General Studies requirements; and senior standing.
Description: The course includes micromonitor process control analysis, fiber optics technology, CMOS technology, ultra precision controlled devices with artificial intelligence systems, industrial robots, fiber optics, and imagineering future applications.
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MET 4070 - Computer Aided Design
Credits: 3
Prerequisite(s): MET 3070 and MET 3210 with grades of “C” or better; completion of General Studies requirements; and senior standing.
Description: The student studies combined stresses, gearing, brakes, curved beams, etc., and undertakes the design of a complete machine. This is the second in the two-course machine design series. The analysis includes computer solutions.
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MET 4080 - Computer Aided Manufacturing
Credits: 3
Prerequisite(s): MET 2010, MET 3000, and either MET 3210 or EET 2350 with grades of “C” or better
Description: This is an advanced, computer-aided manufacturing course. Computer applications in configuration control, purchasing, vendor ratings, production control, inventory control and final product acceptance documentation are treated. Appropriate computer and machining software will be used.
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MET 4100 - Senior Project I
Credits: 1
Prerequisite(s): CET 3135, JMP 2610, and MTH 2420 with grades of “C” or better; Senior Standing
Prerequisite(s) or Corequisite(s): MET 3070 or MET 3000, and EET 2000 with grades of “C” or better
Description: In this course, students are required to work on the planning and designing of a team project in consultation with faculty advisors and industry contacts.
University Requirement(s): Senior Experience
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MET 4110 - Senior Project II
Credits: 2
Prerequisite(s): MET 4100 with a grade of “C” or better; Senior Standing
Prerequisite(s) or Corequisite(s): MET 4000
Description: In this course, the students complete the project they started in MET 4100. The project is built, tested, and demonstrated. Written technical reports and oral presentations on the project are required. Part of this course involves the student working with a faculty member who acts as a consultant.
University Requirement(s): Senior Experience
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MET 4280 - Advanced Energy Technology
Credits: 3
Prerequisite(s): MET 3125, PHY 2311, and PHY 2321 with grades of “C” or better
Description: This course focuses on the study of global energy flows, as well as the sources and uses of energy. Biological energy and ecosystems are introduced from the viewpoint of the engineering technologist. Energy-related environmental problems, including air and thermal pollution and radioactivity, are examined.
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MET 4370 - Advanced Composite Structures: Design, Damage, Repair and Testing
Credits: 3
Prerequisite(s): MET 3215 with a grade of “C” or better
Description: This lecture/laboratory course is the introduction of the student to the characterization methods for the anisotropic properties of advanced composite materials consisting of high-performance fibers suspended in polymeric matrices. This course includes study and practical application of design, damage control, composite repair, processes and tooling. Also overviews the concepts, principles, and methods employed for nondestructive evaluation (NDE) of composite structures and materials.
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MET 4480 - Air Conditioning/Refrigeration
Credits: 3
Prerequisite(s): MET 3110 and MET 3125 with grades of “C” or better
Description: In this course, thermodynamics and heat transfer principles to the analysis and design of refrigeration systems and comfort conditioning systems for buildings are introduced. Refrigeration cycles are studied. Operation and rating of system components are evaluated with specific emphasis on heat flow in condensers, evaporators, and cooling towers. Temperature and humidity control, along with air handling equipment and ducting, are studied.
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Military Science (Army ROTC) |
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MILR 1011 - Adventures in Leadership I
Credits: 2
Description: MILR 1011 introduces students to the personal challenges and competencies that are critical for effective leadership and communication. Students will learn how the personal development of life skills such as cultural understanding, goal setting, time management, stress management, and comprehensive fitness relate to leadership, officership, and the Army profession. Students will be introduced to the structure of the ROTC Basic Course program. The focus is on developing basic knowledge and comprehension of Army leadership dimensions, attributes and core leader competencies while gaining an understanding of the ROTC program, its purpose in the Army, and its advantages for the student.
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MILR 1021 - Adventures in Leadership II
Credits: 2
Prerequisite(s): MILR 1011 or permission of instructor
Description: MILR 1021 teaches leadership fundamentals such as setting direction, problem-solving, listening, presenting briefs, providing feedback, and using effective writing skills. Students will explore dimensions of leadership attributes and core leader competencies in the context of practical, hands-on, and interactive exercises. As students become further acquainted with MILR 1021, they will learn the structure of the ROTC Basic Course program. The key objective this semester is to explore (in more detail) the Army’s leadership philosophy and learn fundamental military concepts. Emphasis on Army leadership will provide the learner a better understanding of the ROTC program, its purpose in the Army, and its advantages for the student.
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MILR 2031 - Methods of Leadership and Management I
Credits: 3
Prerequisite(s): MILR 1021 or permission of instructor
Description: MILR 2031 explores the dimensions of creative and innovative tactical leadership strategies and styles by examining team dynamics and two historical leadership theories that form the basis of the Army leadership framework. Aspects of personal motivation and team building are practiced planning, executing and assessing team exercises. While participation in the leadership labs is not mandatory during the MSL II year, significant experience can be gained in a multitude of areas and participation in the labs is highly encouraged. The focus continues to build on developing knowledge of the leadership attributes and core leader competencies through the understanding of Army rank, structure, and duties as well as broadening knowledge of land navigation and squad tactics. Case studies will provide a tangible context for learning the Soldier’s Creed and Warrior Ethos.
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MILR 2041 - Methods of Leadership and Management II
Credits: 3
Prerequisite(s): MILR 2031 or permission of instructor
Description: MILR 2041 examines the challenges of leading teams in the complex operational environment. The course highlights dimensions of terrain analysis, patrolling, and operation orders. Further study of the theoretical basis of the Army Leadership Requirements Model explores the dynamics of adaptive leadership in the context of military operations. MILR 2041 prepares Cadets for MILR 3051. Cadets develop greater self-awareness as they assess their own leadership styles and practice communication and team-building skills. Case studies give insight into the importance and practice of teamwork and tactics in real-world scenarios.
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MILR 3052 - Military Operations and Training I
Credits: 3
Prerequisite(s): MILR 2041 or permission of instructor. Students must be contracted cadets in the Army ROTC to be enrolled in MILR 3052.
Description: In MILR 3052 the student will study, practice, and apply the fundamentals of Army leadership, Officership, Army values and ethics, personal development, and small unit tactics at the team and squad level. At the conclusion of this course, the student will be capable of planning, coordinating, navigating, motivating and leading a team or squad in the execution of a tactical mission during a classroom PE, a Leadership Lab, or during a Situational Training Exercise (STX) in a field environment. Successful completion of this course will help prepare the student for success at the ROTC Leader Development and Assessment Course (LDAC) which the student will attend during the summer. The student will receive systematic and specific feedback on their leader attributes values and core leader competencies from their instructor, other ROTC cadre and MSL IV Cadets who will evaluate skills using the ROTC Leader Development Program (LDP) model.
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MILR 3062 - Military Operations and Training II
Credits: 3
Prerequisite(s): MILR 3052, or permission of instructor. Students must be contracted in the Army ROTC to be enrolled in MILR 3062.
Description: In MILR 3062, the student will study theoretical and practical applications of small unit leadership principles. The student will focus on managing personnel and resources, conducting the military decision making process, the operations order, and oral communications. The student will be exposed to tactical unit leadership in a variety of environments with a focus on preparation for the summer leader development and assessment course experience.
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MILR 3090 - Military Theory and Tactical Leadership
Credits: 1
Prerequisite(s): MILR 1021 and permission of instructor
Description: Students in this course will apply military domain knowledge, engage in small unit leadership skills, and receive instruction on various subjects germane to military operations. Students will examine military tactics, techniques and procedures to better understand how to successfully accomplish multiple military requirements.
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MILR 4072 - Adaptive Leadership
Credits: 3
Prerequisite(s): MILR 3062 or permission of instructor. Students must be contracted in the Army ROTC to be enrolled in MILR 4072.
Description: MILR 4072 transitions the focus of student learning from being trained, mentored and evaluated as an MSL III Cadet to learning how to train, mentor and evaluate underclassmen Cadets. MSL IV Cadets learn the duties and responsibilities of an Army staff officer and apply the Military Decision Making Process, Army Writing Style, and the Army’s Training Management and METL Development processes during weekly Training Meetings to plan, execute and assess battalion training events. Cadets examine management and leadership concepts and techniques associated with planning and executing military training and operations at Company and higher echelons. Cadets learn to safely conduct training by understanding and employing the Composite Risk Management Process. Cadets learn how to use the Comprehensive Soldier Fitness (CSF) program to reduce and manage stress.
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MILR 4082 - Leadership in a Complex World
Credits: 3
Prerequisite(s): MILR 4072 or permission of instructor. Students must be contracted cadets in the Army ROTC to be enrolled in MILR 4082.
Description: In MILR 4082, Cadets explore the dynamics of leading in the complex situations of current military operations in full spectrum operations (FSO). Cadets will examine differences in customs and courtesies, military law, principles of war, and rules of engagement in the face of international terrorism. Cadets will also explore aspects of interacting with non-government organizations, civilians on the battlefield, and host nation support. The course places significant emphasis on preparing cadets for BOLC B, and officers’ first unit of assignment. It uses case studies, scenarios, and exercises to prepare cadets to face the complex ethical and practical demands of leading as a commissioned officer in the United States Army.
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