Apr 25, 2024  
2019-2020 Undergraduate Catalog 
    
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2019-2020 Undergraduate Catalog [ARCHIVED CATALOG]

Course Descriptions

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.
 

Marketing
  

  • MKT 3310 - Consumer Behavior


    Credits: 3

    Prerequisite(s): MKT 3000 and at least junior standing

    Description: This course analyzes the underlying theories and complex variables influencing consumers and their purchase decision-making processes. The marketing strategy implications of consumer behavior concepts are studied.
  

  • MKT 3350 - Social Selling


    Credits: 3

    Prerequisite(s): MKT3250

    Description: Social Selling is a key resource for sales and marketing professionals seeking a better way to connect with today’s customer where they’re conducting due diligence - online. This course will show students how to capture the mindshare of business leadership and turn relationships into sales. Students will learn the online techniques used to be seen as a helpful resource that can guide the buyer toward their ideal solution. This course will provide essential guidance on selling to the modern buyer.
  

  • MKT 3410 - Marketing Channels


    Credits: 3

    Prerequisite(s): MKT 3000 and junior standing

    Description: This course is a comprehensive examination of the theories and practice of marketing channels. The course covers the essential concepts, principles, and strategies of marketing distribution systems with the aid of extensive real-life examples. The various forms of intermediaries are studied. Students examine the basic decision areas of designing, selecting, and managing marketing channels. Attention is also given to logistics and international distribution.
  

  • MKT 3500 - Sports Marketing


    Credits: 3

    Prerequisite(s): At least junior standing

    Description: This course is a study of how the principles of marketing are applied in the sports industry. The course examines the marketing of sports, teams, athletes, etc., as well as the use of sports to market products (e.g., sponsorship and promotional licensing).
  

  • MKT 3550 - Sport Sales


    Credits: 3

    Prerequisite(s): MKT 3250 or MKT 3500, and at least junior standing

    Description: This course focuses on creating skills necessary for success in sport sales.  Areas covered include cold calling on the telephone, setting appointments, sales presentations, overcoming objections, closing the deal, and obtaining referrals.
  

  • MKT 3610 - Business-to-Business Marketing


    Credits: 3

    Prerequisite(s): MKT 3000 and At least junior standing

    Description: In this course, students will investigate the activities involved in marketing goods and services to businesses, institutions, resellers, and government, with primary emphasis on business-to-business marketing.
  

  • MKT 3710 - International Marketing


    Credits: 3

    Prerequisite(s): BUS 1950, MKT 3000 and At least junior standing

    Description: The primary objective of this course is to introduce students to the complexities involved in the international marketing process. This course will sensitize students to the economic, political, and cultural differences among nations as they affect marketing; introduce students to the framework of organizations, laws, and business practices as they affect marketing; and develop a student’s ability to identify and evaluate marketing opportunities in the international marketplace.

    Note: Credit will be granted for only one prefix: HON or MKT.

    Cross Listed Course(s): HON 3712
  

  • MKT 3750 - Multicultural Marketing


    Credits: 3

    Prerequisite(s): Junior or Senior Standing

    Description: This course examines consumer behavior as an expression of race, ethnicity and gender. It is designed to cultivate an awareness and appreciation of consumer diversity in the United States. Students will develop an understanding of marketing management strategies and practices within a multicultural society. Market opportunities created by consumer diversity in the U.S. is a central theme. Drawing from the social science and marketing literature, the course broadens the student’s knowledge of the significance of consumer behavior from within a given culture.

    University Requirement(s): Multicultural
  

  • MKT 3810 - Electronic Marketing


    Credits: 3

    Prerequisite(s): MKT 3000, CIS 2010 or equivalent, and At least junior standing

    Description: This course is designed to introduce students to the cutting-edge technologies that are necessary to perform effectively as marketing professionals. The primary focus of this course is marketing uses of the worldwide network of computers known as the Internet including Web site design and maintenance, marketing research, e-mail, and advertising. The course will also provide limited coverage of other electronic technologies including fax-on-demand, CDROM, and database marketing.
  

  • MKT 3910 - New Product Development


    Credits: 3

    Prerequisite(s): MKT 3000 or MKT 8900

    Description: This course introduces students to the issues related to developing new products.  These issues include creativity and innovation, idea generation, product design, prototyping, market testing, financial analysis, and managing the process for productivity, efficiency, and success.  Through classroom and experiential learning activities, students will learn the concepts and skills of new product development and complete a new product project.
  

  • MKT 3980 - Internship in Marketing


    Credits: 1-15

    Prerequisite(s): Major in Marketing; junior or senior status; permission of instructor

    Description: Supervised by a faculty member within the major department, internships provide practical, hands-on experience in a professional field related to the major. Internship placements must be established prior to enrollment in this course in consultation with the Applied Learning Center.

     

    Internship requirements vary by department. For information and instructions on finding and enrolling in an internship, contact the Applied Learning Center at 303-615-1333 or internships@msudenver.edu.

    Note: Variable Credit
  

  • MKT 4110 - Brand Management


    Credits: 3

    Prerequisite(s): MKT 3000 and junior standing

    Description: This course will cover brand management in-depth, demonstrate how marketing activities impact the power of an organization’s brand, and examine the strategic importance of effectively managing a brand. Students will develop an ability to assess brands and implement action plans based on a strategic marketing orientation.
  

  • MKT 4250 - Advanced Selling


    Credits: 3

    Prerequisite(s): MKT 3250 and at least junior standing

    Description: This course builds on the skills developed in MKT 3250 and focuses on relationship selling with an emphasis on value-added selling, major account selling, team selling, negotiating, proposal writing, and business-to-business selling.  Complex selling situations that involve multiple decision makers will be evaluated. 
  

  • MKT 4300 - Social Media Marketing


    Credits: 3

    Prerequisite(s): MKT 3000 and junior standing

    Description: This course covers advertising, marketing, and communication strategies in the new media landscape where traditional media (e.g. television, print) and the online social media (e.g. Web 2.0, online social networks, usergenerated content, blogs, forums) co-exist. The primary focus of this course will be on understanding social media, how to build social media marketing strategies, and how to track their effectiveness. Students taking Social Media Marketing will learn the applications of social media to the fulfillment of marketing objectives, particularly those related to the promotion function of the marketing mix. In particular, students will be able to analyze the social context in which a brand operates and audit a brand’s social media positioning, as well as develop strategies for marketing using the zones of social media.
  

  • MKT 4520 - Seminar in Marketing Management


    Credits: 3

    Prerequisite(s): MKT 3000, 6 additional hours of completed marketing credits, and Senior standing

    Description: This course is the culminating final course required of all Marketing minor students (and a marketing elective for Marketing majors). In this final course, the student will develop and apply marketing strategies and policies in solution to problems related to the consumer and the business environment.

    Note: Credit will be granted for only one prefix: HON or MKT.

    Cross Listed Course(s): HON 4521
  

  • MKT 4560 - Marketing Strategy


    Credits: 3

    Prerequisite(s): MKT 3010, MKT 3310, and Senior standing

    Description: This culminating course for all marketing majors emphasizes the case approach to the study of marketing problems. Problem areas to be studied include market and profitability analysis, marketing planning, strategy, and control.

Mathematical Sciences
  

  • MTH 1080 - Mathematics for Liberal Arts


    Credits: 3

    Prerequisite(s): One and one-half years of high school algebra or the equivalent and an appropriate score on the mathematics preassessment placement test.

    Description: This course is an introduction to the spirit and methods of mathematics. It includes problem-solving strategies, introductory financial mathematics, probability, statistics, and other topics demonstrating the interdisciplinary applicability of mathematics.

    General Studies: Quantitative Literacy

    Guaranteed Transfer: GT-MA1
  

  • MTH 1101 - College Algebra Laboratory


    Credits: 1

    Corequisite(s): MTH 1111

    Description: This one-hour lab provides supplemental academic instruction with an emphasis on building algebraic and study skills needed in College Algebra for Calculus.
  

  • MTH 1108 - College Algebra Stretch, Part I


    Credits: 4

    Prerequisite(s): An approved score on the mathematics pre-assessment placement test

    Description: This course is the first half of a two-semester sequence (consisting of MTH 1108 followed by MTH 1109); the two-semester course is equivalent to MTH 1110 (College Algebra) and is a prerequisite for MTH 1120 and the calculus sequence. The topics covered in MTH 1108 include equations and inequalities, the function notation and a detailed study of linear and quadratic functions and their properties; in addition, students enrolled in MTH 1108 review basic algebraic skills, such as factoring methods, properties for rational and root expressions, and geometrical formulas.

    Note: All sections will integrate the use of a graphing calculator into the course. A specific calculator will be required. A student cannot receive credit for both MTH 1110 or MTH 1111 and MTH 1108.
  

  • MTH 1109 - College Algebra Stretch, Part II


    Credits: 4

    Prerequisite(s): MTH 1108 with a grade of “C-” or better

    Description: This course is the second half of a two-semester sequence (consisting of MTH 1108 followed by MTH 1109); the two-semester course is equivalent to MTH 1110 (College Algebra) and is a prerequisite for MTH 1120 and the calculus sequence. The topics covered in MTH 1109 include exponential and logarithmic functions, conic sections, systems of equations and the binomial theorem; in addition, students enrolled in MTH 1109 will review algebraic skills, such as solving linear and quadratic equations, graphing techniques and mathematical modeling.

    Note: All sections will integrate the use of a graphing calculator into the course. A specific calculator will be required. A student cannot receive credit for both MTH 1110 and MTH 1109.

    General Studies: Quantitative Literacy

    Guaranteed Transfer: GT-MA1
  

  • MTH 1110 - College Algebra for Calculus


    Credits: 4

    Prerequisite(s): An intermediate algebra course or one and one-half years of secondary school algebra or equivalent and appropriate score on the mathematics preassessment placement test.

    Description: The topics covered include equations and inequalities, functions and graphs, exponents and logarithms, conic sections, linear systems, and the binomial theorem. Basic algebraic skills are essential as a prerequisite to this course. All sections integrate the use of a graphing calculator into the course.

     

    Note: Only one of MTH 1109, MTH 1110, MTH 1111 and MTH 1112 will count toward graduation. Credit will be granted for only one prefix: HON or MTH.

    General Studies: Quantitative Literacy

    Guaranteed Transfer: GT-MA1

    Cross Listed Course(s): HON 1110
  

  • MTH 1111 - College Algebra for Calculus with Laboratory


    Credits: 4

    Prerequisite(s): An intermediate algebra course or one and one-half years of secondary school algebra or equivalent and appropriate score on the mathematics preassessment placement test.

    Corequisite(s): MTH 1101

    Description: This course is equivalent to MTH 1110 - College Algebra for Calculus , but with a co-requisite lab that provides supplemental academic instruction. The topics covered include equations and inequalities, functions and graphs, exponents and logarithms, conic sections, linear systems, and the binomial theorem. Basic algebraic skills are essential as a prerequisite to this course. All sections integrate the use of a graphing calculator into the course.

    General Studies: Quantitative Literacy
  

  • MTH 1112 - College Algebra Through Modeling


    Credits: 4

    Prerequisite(s): An intermediate algebra course or one and one half years of secondary school algebra or equivalent and an appropriate score on the mathematics preassessment placement test.

    Description: This course places a greater emphasis on applications and data analysis than MTH 1110, College Algebra. The topics covered include: deriving functions to model situations; linear, exponential and logarithmic, power, quadratic functions and their properties and graphs; exponents and logarithms; data analysis and regression; rates of change; and linear systems and equations. Basic algebraic skills are essential as a prerequisite to this course. All sections integrate the use of a graphing calculator into the course. A specific calculator is required.

    Note: Only one of MTH 1109, MTH 1110, MTH 1111 and MTH 1112 will count toward graduation.

    General Studies: Quantitative Literacy

    Guaranteed Transfer: GT-MA1
  

  • MTH 1120 - College Trigonometry


    Credits: 3

    Prerequisite(s): MTH 1109 or MTH 1110 or MTH 1111 or MTH 1112, each with a grade of “C-” or better or an appropriate score on the mathematics preassessment placement test.

    Description: The topics covered include trigonometric functions, equations, and identities, solution of triangles, and complex numbers. A specific graphing calculator will be required.

    Guaranteed Transfer: GT-MA1
  

  • MTH 1210 - Introduction to Statistics


    Credits: 4

    Prerequisite(s): Two years of high school algebra or equivalent and an appropriate score on the mathematics preassessment test, or one of MTH 1080 or MTH 1109 or MTH 1110 or MTH 1112 or MTH 1610 with a “C-” or better.

    Description: This course is an introduction to the principles and techniques of descriptive statistics, probability, regression analysis, and statistical inference (estimation and tests of hypotheses). Students work with data on problems related to their own interest or field of study.

    Note: Credit will not be given for both MTH 1210 and MTH 1230.

    General Studies: Quantitative Literacy

    Guaranteed Transfer: GT-MA1
  

  • MTH 1310 - Finite Mathematics for the Management and Social Sciences


    Credits: 4

    Prerequisite(s): One and one-half years of high school algebra or equivalent and an appropriate score on the mathematics preassessment placement test.

    Description: This course stresses the application of mathematics to business and the social sciences. The topics covered include evaluation and graphing of functions, the geometry of straight lines, operations on matrices, solving systems of equations, and an introduction to set theory and probability theory. All sections integrate the use of a graphing calculator into the course.

    Note: A specific calculator will be required.

    General Studies: Quantitative Literacy

    Guaranteed Transfer: GT-MA1
  

  • MTH 1320 - Calculus for the Management and Social Sciences


    Credits: 3

    Prerequisite(s): MTH 1310 with a grade of “C-” or better (MTH 1109, MTH 1110, MTH 1112, or MTH 1400 with a grade of “C-” or better will be accepted, if necessary). Graphing calculator experience is expected.

    Description: This course is an introduction to calculus emphasizing applications in business and social sciences. Topics include differentiation, partial differentiation, indefinite and definite integration. All sections will integrate the use of a graphing calculator into the course. A specific calculator will be required.

    Guaranteed Transfer: GT-MA1
  

  • 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
  

  • 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
  

  • 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
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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
  

  • 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.
  

  • MTH 3210 - Probability and Statistics


    Credits: 4

    Prerequisite(s) or Corequisite(s): MTH 2410; 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.

     
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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).
  

  • 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.
  

  • 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. It includes Sylow theory, ideals and their properties, principal ideal domains, field extensions and finite fields.
  

  • 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.
  

  • MTH 4210 - Probability Theory


    Credits: 4

    Prerequisite(s): MTH 3210 with a grade of C- or better and senior standing, 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.

    University Requirement(s): Senior Experience
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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
  

  • 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.
  

  • 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.
  

  • 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
  

  • 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.
  

  • 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.
  

  • MTH 4640 - History of Mathematics


    Credits: 4

    Prerequisite(s): MTH 3110, MTH 3140, MTH 3210, MTH 3650, all 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
  

  • MTH 4660 - Topology


    Credits: 3

    Prerequisite(s): MTH 3100 or Permission of instructor

    Description: This course will include topological spaces, functions, mappings and homeomorphisms, continuity, compactness, and metric spaces.

Mathematics Teaching and Learning
  

  • MTL 3600 - Mathematics of the Elementary Curriculum


    Credits: 3

    Prerequisite(s) or Corequisite(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.

    Note: Course Revised June 28, 2019
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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. 
  

  • 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.
  

  • 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.

Mechanical Engineering Technology
  

  • 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.
  

  • 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.
  

  • 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.

    General Studies: Natural and Physical Sciences

    Cross Listed Course(s): CET 1040, EET 1040
  

  • 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
  

  • 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.
  

  • 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.
  

  • 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
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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.
  

  • 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
  

  • 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
  

  • 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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