Apr 19, 2024  
Undergraduate Catalog 2014 - 2015 
    
Undergraduate Catalog 2014 - 2015 [ARCHIVED CATALOG]

Course Descriptions


 

Marketing

  
  • MKT 490 - Marketing Internship

    [3 credit(s)]
    Prerequisites: Junior standing, MKT 420, MKT 431, minimum overall GPA of 2.5, and permission of Department Chair. Designed to provide marketing students with practical experience in career paths in marketing management, marketing research, sales, retailing, advertising, and related fields. Student must submit a written proposal to be approved by a faculty advisor of the student’s choosing and IB Program Director before registration. Students must work under the supervision of marketing professionals. Internship credits will be based on hours worked: a minimum of 10 hours per week (or 150 hours) for two credits; 15 hours per week (or 225 hours) for three credits. A term report must be submitted, incorporating theory, marketing tools, and practical applications to the sponsoring organization and the student’s faculty advisor. Contact Department Office for application packet and instructions.


    Click here for the schedule of courses

  
  
  • MKT 493 - Current Topics

    [3 credit(s)]
    Prerequisites: MKT 301. A study of current topics in marketing. Emphasis will be placed on exploring current literature, advanced topics, and research tools applicable to the topic.


    Click here for the schedule of courses

  
  • MKT 495 - Consulting

    [3 credit(s)]
    Prerequisites: Senior standing, MKT 420, and MKT 431. The learning philosophy in this course can be summed up as follows: theory informs practice. The marketing consulting course emphasizes the integration of strategy, business processes, technology, and management through a group project conducted for a “real-world” company or non-profit, organization. The course centers around student teams working with clients to conduct analysis, determine managerial priorities, and provide a series of deliverables that enable the client to operate more efficiently and grow. Students will follow a systematic business consulting methodology The course features close work with clients and ends with a report for client managers.


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  • MKT 496 - Independent Study

    [3 credit(s)]
    Prerequisite: MKT 301, senior standing, permission of Department Chair. Written proposal approved before registration by sponsoring professor and chairperson. A flexible content/structure course designed to enable qualified students to pursue special areas of interest and competency; opportunity for independent study, field research, or other special assignments.


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  • MKT 499H - Honors Thesis in Marketing

    [3 credit(s)]
    Requires the honors student to conduct a piece of original research in marketing under the supervision of a Markeing faculty member. The thesis will be presented orally and submitted as a written report.


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Math Technology

  
  • MTT 168 - Math for Engineering Technology I

    [3 credit(s)]
    Prerequisite: MTH 115 or equivalent or placement test. This course is designed to meet the needs of engineering technology students as they encounter problems that occur in the world of work. Topics include a review of algebraic concepts and operations from basic equations through systems of equations, quadratic equations, right triangle trigonometry and an introduction to vectors. Topics introduced are graphing trigonometric functions, exponents, radicals, exponential and logarithmic functions, complex numbers, higher degree equations, systems of equations and inequalities, matrix algebra, and ratio, proportion, and variation. Students must supply a graphing calculator for this course and be familiar with the use of computers. The recommended calculator type is the TI-84 Plus or TI-89.


    Click here for the schedule of courses

  
  • MTT 169 - Math for Engineering Technology II

    [3 credit(s)]
    Prerequisite: MTT 168 or equivalent or placement test. This course introduces students to plane analytic geometry and calculus, with an emphasis on applications to engineering technology. Topics include sequences and series; lines; conic sections; translation and rotation of axes; limits; derivatives and their applications; integration and its applications; and a basic introduction to statistics, probability and empirical methods. Students must supply a graphing calculator for this course and be familiar with the use of computers. The recommended calculator type is the TI-84 Plus or TI-89.


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  • MTT 300 - Applied Math

    [3 credit(s)]
    Prerequisites: associate-degree-level of algebra, trigonometry, and introductory calculus. Applications of differential and integral calculus including advanced differentiation and integrations techniques as applied to engineering problems.


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  • MTT 301 - Advanced Applied Math

    [3 credit(s)]
    Prerequisite: MTT 300 or equivalent. Differential equations, transient analysis, Laplace transform methods. S-plane poles and zeros are applied specifically toward program applications.


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Mathematics

  
  • MTH 084 - Math Skills Workshop

    [0 credit(s)]
    Intensive workshop begins with a review of pre-algebra, and then to a review of algebra topics such as, solving and graphing linear equations and inequalities, solving and graphing linear systems. The workshop is part Viking Academic Boot Camp which is designed to prepare students for college-level coursework.


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  • MTH 087 - Basic Algebra

    [0 credit(s)]
    MTH 87 begins with a pre-algebra review. It then proceeds to basic algebra topics such as linear equations and inequalities, rectangular coordinate system, graphs of linear equations, linear systems, polynomials, exponents, and factoring with emphasis on graphing and applications through problem-solving. This course makes extensive use of online software for computer assisted instruction and assessment. Class meetings will be held in a computer laboratory setting and students are expected to use the software on an out-of-class basis to supplement regular in-class meetings. Pass/fail system of grading, but students receive modified letter grades: S(A), S(B), S(C), U(D), U(F). The letter grades in parentheses are not computed in the students’ GPAs. No credit toward graduation. This course does not fulfill the university general education requirement in quantitative literacy. MTH 087 requires class contact time of 3 credit hours and will be applied both toward financial aid and term billing as the fee for 3 credits. As no credit for this course applies toward graduation, the credits for MTH 087 are listed on the course schedule and the payment receipt as 0 credits.


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  • MTH 115 - Applied Algebra

    [3 credit(s)]
    Prerequisite: Grade of “SC” or better in MTH 87 or suitable placement-test score. Extension of basic algebra techniques, linear equations, and linear inequalities, an introduction to functions, roots, radicals, exponents, quadratic equations, solution of second degree equations and applications, and the analysis and solution of word problems. Class meetings will be held in a computer laboratory setting and students are expected to use the software on an out-of-class basis to supplement regular in-class meetings.This course does not fulfill the university general education requirement in quantitative literacy.


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  • MTH 116 - Foundations of Quantitative Literacy

    [3 credit(s)]
    Prerequisite: Grade of SC or better in MTH 87 or suitable placement-exam score. This course is designed to develop quantitative reasoning skills as applied to personal and social issues. Students will learn mathematics and basic statistics needed for success in other college courses, advancement of ones career, and understanding of major issues in life. This course is for students not planning to major in a field requiring advanced mathematical skills.

    This course may fulfill a General Education Requirement.  Click here for more information about General Education Requirements.


    Click here for the schedule of courses

  
  • MTH 117 - Mathematical Applications in the Real World

    [3 credit(s)]
    Prerequisite(s): MTH 116. This course continues the development of quantitative reasoning skills as started in MTH 116. Topics in this course include the mathematics used in voting, including weighted voting systems; mathematics of touring (The Traveling Salesman Problem); as well as the mathematics of networks and scheduling. This course is for students not planning to major in a field requiring advanced mathematical skills.

    This course may fulfill a General Education Requirement.  Click here for more information about General Education Requirements.


    Click here for the schedule of courses

  
  • MTH 127 - Mathematics for Elementary School Teachers I

    [3 credit(s)]
    Prerequisite: A grade of ‘SC’ or better in MTH 87 or suitable placement-test score. Topics needed to teach elementary school mathematics, including numeration systems and whole number arithmetic, integers and number theory, rational and real numbers, problem solving, and applications. This course does not fulfill the university General Education Requirement in quantitative literacy.


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  • MTH 129 - Mathematics for Elementary School Teachers III

    [3 credit(s)]
    Prerequisite: Grade of “C” or better in MTH 127. Additional topics for the elementary curriculum, including measurement, probability and statistics. The course will incorporate the use of appropriate technology for the elementary school classroom such as the TI-73 calculator with the CBR and computer software Fathom and Excel.

    This course may fulfill a General Education Requirement.  Click here for more information about General Education Requirements.


    Click here for the schedule of courses

  
  • MTH 147 - Statistical Concepts with Applications

    [3 credit(s)]
    Prerequisite: A grade of ‘SC’ or better in MTH 087 or 22 MATH on ACT / 520 MATH on SAT or suitable placement-test score. A first course in statistics that emphasizes statistical methodology as applied in the biological, social, and behavioral sciences, education, and business; topics include descriptive statistics, elementary probability, elementary sampling theory, estimation, hypothesis testing, regression and correlation.

    This course may fulfill a General Education Requirement.  Click here for more information about General Education Requirements.


    Click here for the schedule of courses

  
  • MTH 148 - Mathematics for Business Majors I

    [3 credit(s)]
    Prerequisite: a grade of SC or better in MTH 087 or 22 MATH on ACT / 520 MATH on SAT or suitable placement-exam score. The topics for this course include equations of lines, graphs of functions, word problems, polynomial models, and mathematical applications. The course shows how to use exponential and logarithmic functions to study mathematical finance applications such as simple interest, discount, compound interest, present and future values, annuities, and amortization. The course also covers systems of linear equations, and matrices.

    This course may fulfill a General Education Requirement.  Click here for more information about General Education Requirements.


    Click here for the schedule of courses

  
  • MTH 149 - Mathematics for Business Majors II

    [4 credit(s)]
    Prerequisite: a grade of C or better in MTH 148. The topics for this course include probability as it relates to computing empirical probability, conditional probability, and understanding independent events. Other topics include counting topics related to the multiplicative principle, permutations, and combinations. The course also includes material on the techniques of single and multivariate calculus that include methods and applications regarding rates of change, derivatives, anti-derivatives, integration, differential equations, partial derivatives and extrema of functions of several variables.

    This course may fulfill a General Education Requirement.  Click here for more information about General Education Requirements.


    Click here for the schedule of courses

  
  • MTH 158 - Business Calculus I

    [2 credit(s)]
    Prerequisite: A grade of C or better in MTH 150 or suitable placement test score; limits, continuity, derivatives, techniques of differentiation, related rates.


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  • MTH 159 - Business Calculus II

    [4 credit(s)]
    Prerequisite: A grade of C or better in MTH 158. Curve sketching, application to optimization, antiderivatives, definite integrals, Fundamental Theorem of Calculus, area between curves, integration by parts, partial derivatives, Lagrange multipliers, double integrals, differential equations, improper integrals, probability and calculus.


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  • MTH 161 - Introductory Statistics

    [3 credit(s)]
    Prerequisite: A grade of C or better in MTH 115 or suitable placement-exam score. Not open to students who have previously earned credit for or are currently taking MTH 147. This course is an introduction to statistical concepts and methodology. Students will learn methods of describing, organizing, and exploring data, and be introduced to probability concepts that form the foundation of statistical inference. An emphasis is estimation and inference procedures for means and proportions. Students will also study correlation and regression.

    This course may fulfill a General Education Requirement.  Click here for more information about General Education Requirements.


    Click here for the schedule of courses

  
  • MTH 167 - Precalculus Mathematics I

    [3 credit(s)]
    Prerequisite: A grade of ‘C’ or better in MTH 115 or suitable placement test score. Detailed study of functions including linear, quadratic, polynomial, rational, root/radical/power, exponential, logarithmic and piecewise-defined functions; graphing techniques; solutions of a variety of equations and of systems of linear equations; solutions of polynomial and rational inequalities . This course makes extensive use of online software for computer assisted instruction, assessment, and testing. Some class meetings will be held in a computer laboratory setting and students are expected to use the software on a self-paced, out-of-class basis to supplement regular in-class meetings.

    This course may fulfill a General Education Requirement.  Click here for more information about General Education Requirements.


    Click here for the schedule of courses

  
  • MTH 168 - Precalculus Mathematics II

    [3 credit(s)]
    Prerequisite: A grade of ‘C’ or better in MTH 167 or suitable placement-test score. Detailed study of angles, trigonometric, and inverse trigonometric functions, identities, trigonometric equations, triangles and vectors. This course makes extensive use of online software for computer assisted instruction and assessment. Some class meetings will be held in a computer laboratory setting and students are expected to use the software on an out-of-class basis to supplement regular in-class meetings.

    This course may fulfill a General Education Requirement.  Click here for more information about General Education Requirements.


    Click here for the schedule of courses

  
  
  • MTH 181H - H: Honors Calculus I

    [4 credit(s)]
    Topics to be covered includes limits, derivatives, continuity, applications of the derivative, antiderivatives and the definite integral. Covers the same basic topics as MTH 181, but with greater emphasis on rigorous treatment of the underlying mathematical ideas and real world applications. Course includes an introduction to the use of a computer algebra system, such as Maple or MATLAB. This course may fulfill a General Education Requirement.


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  • MTH 182H - H: Honors Calculus II

    [4 credit(s)]
    Topics to be covered include applications of integration, techniques of integration, improper integrals, infinite series, power series, polar coordinates, conic sections, and vectors. This course covers the same basic topics as MTH 182, but with greater emphasis on rigorous treatment of the underlying mathematical ideas and real world applications. Course includes an introduction to the use of a computer algebra system, such as Maple or MATLAB. This course may fulfill a General Education Requirement.


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  • MTH 201 - Functions and Modeling

    [3 credit(s)]
    Prerequisite or co-requisite: EUT 215. Enrollment is restricted to students seeking teaching licensure in the CSUTeach program. This course is designed to engage prospective secondary mathematics teachers in explorations and laboratory activities that will expand and strengthen knowledge and understanding of topics in the secondary mathematics curriculum. Connections between secondary and college mathematics will be illuminated; extensive use of technology will be integrated into solving non-routine problems and applying mathematics in real-world situations, which will be the primary focus. Explorations will involve the use of multiple representations, transformations, data analysis techniques (such as curve fitting) and interconnections among topics in algebra, analytic geometry, statistics, trigonometry, and calculus. No credit toward the mathematics major or minor.


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  • MTH 220 - Introduction to Discrete Mathematics

    [3 credit(s)]
    Prerequisites: A grade of ‘C’ or better in MTH 149 or MTH 182. Topics include sets, relations, and functions; the concept of algorithm and mathematical induction and recursive definition. Applications of these fundamentals are chosen at the instructor’s discretion from graph theory, Boolean algebra, lattice theory, finite-state automata, elementary grammars, and the theory of recurrence relations.


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  • MTH 281 - Multivariable Calculus

    [4 credit(s)]
    Prerequisite: A grade of ‘C’ or better in MTH 182. Multivariate and vector calculus, including three-dimensional analytic geometry, partial derivatives, multiple integrals, vector calculus, line integrals, Green’s Theorem. Only 2 of the 4 credits may be counted toward graduation by students who have passed MTH 283.


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  • MTH 283 - Multivariable Calculus For Engineers

    [2 credit(s)]
    Prerequisite: A grade of ‘C’ or better in MTH 182. Multivariate calculus including three-dimensional analytic geometry, partial derivatives, multiple integrals. Students who have passed MTH 281 may not register for MTH 283. A student who attempts to do so will be given a grade of W.


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  • MTH 284 - Matrices For Engineers

    [2 credit(s)]
    Prerequisite: A grade of ‘C’ or better in MTH 182. Matrix algebra, including matrices and systems of linear equations, determinants, inverses, eigenvalues and eigenvectors. Students who have passed MTH 288 may not register for MTH 284. A student who attempts to do so will be given a grade of W.


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  • MTH 286 - Introduction To Differential Equations

    [3 credit(s)]
    Prerequisite: A grade of ‘C’ or better in MTH 182. First-order differential equations, linear differential equations, first order systems, Laplace transform techniques, and applications. Course includes an introduction to the use of a computer algebra system, such as Maple or MATLAB.


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  • MTH 288 - Linear Algebra

    [3 credit(s)]
    Prerequisite: A grade of ‘C’ or better in MTH 182. Systems of linear equations, matrices, determinants, vector spaces, linear transformations, eigenvalues, and eigenvectors. Only two of the 3 credits may be counted toward graduation by students who have passed MTH 284.


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  • MTH 301 - Introduction to Number Theory

    [3 credit(s)]
    Prerequisite: A grade of “C” or better in MTH 220 or permission of instructor. This course is an introduction to number theory and its applications. Topics covered include divisibility, greatest common divisor and Euclid’s algorithm, congruences and the algebra of congruence classes, the theorems of Fermat, and Euler, the Chinese Remainder Theorem, quadratic residues and primitive roots. Applications include cryptography, computer security and coding theory.


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  • MTH 311 - Numerical Analysis

    [3 credit(s)]
    Prerequisites: Grades of “C” or better and at least 6 credits chosen from the following six courses: MTH 220, MTH 281, MTH 283, MTH 284, MTH 286 and MTH 288. Course covers numerical methods for solving nonlinear equations, systems of linear equations, interpolation problems, integration problems, and differential equations.


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  • MTH 323 - Statistical Methods

    [3 credit(s)]
    Prerequisites: A grade of “C” or better in MTH 182. Course covers issues of data collection, graphical and numerical summary techniques, basic probability, discrete random variables, continuous random variables, central limit theorem, confidence intervals, hypothesis testing of a proportion, hypothesis testing of a mean, 2 sample hypothesis testing, chi square testing, regression. Appropriate statistical software used extensively. MTH 323 counts toward the statistics minor; one course from MTH 323 or MTH 347 counts toward the mathematics minor, but not both.


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  • MTH 325 - Patterns, Reasoning, & Proof for Middle School Teachers

    [3 credit(s)]
    Prerequisite: Grade of C or better in MTH 115, or ACT Math Score of 22 or higher, or SAT Math score of 520 or higher, or suitable placement test score (MTH 167 level or higher). Enrollment is restricted to students seeking middle childhood licensure with mathematics as one of their two areas of concentration or by permission of Mathematics Department Chairperson. This course will be an in-depth study of mathematical topics in middle school curricula in the area of mathematical ways of thinking via patterns, reasoning, and proof. Topics include patterns and sequences, proof by induction, proof by contradiction, direct proof, and problem solving strategies. Goals include developing deep understandings of these topics as appropriate for middle school teachers. No credit toward the mathematics major or minor.


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  • MTH 326 - Number Systems and Operations for Mid Sch Teachers

    [3 credit(s)]
    Prerequisite(s): Prerequisite: Grade of C or better in MTH 115, or ACT Math Score of 22 or higher, or SAT Math score of 520 or higher, or suitable placement test score (MTH 167 level or higher). Enrollment is restricted to students seeking middle childhood licensure with mathematics as one of their two areas of concentration or by permission of Mathematics Department Chairperson. This course will consist of an in-depth study of mathematical topics in middle school curricula in the area of numbers and operations. Topics include numeration concepts, study of rational and irrational numbers, algebraic systems, estimation and operations. Goals include developing deep understandings of these topics as appropriate for middle school teachers. No credit toward the mathematics major or minor.


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  • MTH 327 - Algebra and Functions for Middle School Teachers

    [3 credit(s)]
    “Prerequisite: Grade of C or better in MTH 115, or ACT Math Score of 22 or higher, or SAT Math score of 520 or higher, or suitable placement test score (MTH 167 level or higher). Enrollment is restricted to students seeking middle childhood licensure with mathematics as one of their two areas of concentration or by permission of Mathematics Department Chairperson. Emphasis on algebra as a powerful symbolic language for studying patterns, relations, and variation; for solving linear and quadratic equations and inequalities; and for modeling real life situations. Emphasis is on variables and functions in symbolic and graphical forms, especially linear, quadratic, exponential, logarithmic, and inverse functions. Goals include developing deep understandings of these topics as appropriate for middle school teachers. No credit toward the mathematics major or minor. “


    Click here for the schedule of courses

  
  • MTH 328 - Measurement and Geometry for Middle School Teachers

    [3 credit(s)]
    Prerequisite: Grade of C or better in MTH 115, or ACT Math Score of 22 or higher, or SAT Math score of 520 or higher, or suitable placement test score (MTH 167 level or higher) or by permission of Mathematics Department chairperson. This course is designed to increase the conceptual understanding of geometry for middle school teachers. Topics will include dynamic geometry integrating use of computer software; basic geometry theorems and constructions; similarity, proportion, scaling and geometric growth; tessellations; simple trigonometric relationships. No credit toward the mathematics major or minor.

    This course may fulfill a General Education Requirement.  Click here for more information about General Education Requirements.


    Click here for the schedule of courses

  
  • MTH 329 - Data Analysis and Probability for Middle School Teachers

    [3 credit(s)]
    Prerequisite: Grade of C or better in MTH 115, or ACT Math Score of 22 or higher, or SAT Math score of 520 or higher, or suitable placement test score (MTH 167 level or higher). Enrollment is restricted to students seeking middle childhood licensure with mathematics as one of their two areas of concentration or by permission of Mathematics Department Chairperson. Ratios, fractions, percentages, data collection, graphical experimentation, basic strategies of data analysis, some statistical methods to analyze data, inference based on data and simulation. Goals include developing deep understandings of these topics as appropriate for middle school teachers. No credit toward the mathematics major or minor. This course may fulfill a General Education Requirement.”

    This course may fulfill a General Education Requirement.  Click here for more information about General Education Requirements.


    Click here for the schedule of courses

  
  • MTH 330 - Conversational Calculus for Middle School Teachers

    [3 credit(s)]
    “Prerequisites Grades of C or better in MTH 325, 326, 327, 328 and 329. Enrollment is restricted to students seeking middle childhood licensure with mathematics as one of their two areas of concentration or by permission of Mathematics Department Chairperson. An introduction to the concepts of calculus. Pictures and hands-on experiments are used to develop an overview of the big ideas and an appreciation of how calculus helps us understand the real world. Includes differentiation, integration and applications of calculus to the real world. Goals include developing deep understandings of these topics as appropriate for middle school teachers. No credit toward the mathematics major or minor. “


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  • MTH 333 - Geometry

    [3 credit(s)]
    Prerequisite: A grade of “C” or better in MTH 284 or MTH 288. The main focus is on two-dimensional Euclidean geometry. Basic topics covered include congruence, parallelism, area, and similarity. These are discussed from the axiomatic point of view. Other topics include transformation geometry, non-Euclidean geometry, vectors in geometry and some three-dimensional Euclidean geometry. Many applications are given, such as analysis of repeating patterns, computer graphics, cartography, and robot arm motion. Dynamic geometry software, and physical models and manipulatives will be used.


    Click here for the schedule of courses

  
  • MTH 347 - Applied Statistics

    [3 credit(s)]
    Prerequisite: A grade of “C” or better in MTH 147, MTH 323, PSY 311, COM 303, ECN 322, ESC 310, OMS/OSM 201, PSC 351, SOC 353, SWK 305, or UST 404. Topics include simple linear regression, analysis of variance, nonparametric statistics, multiple and logistic regression, statistical process control, and basic time series analysis. This course will emphasize the applied nature of statistical analysis and require using a statistical analysis software package. MTH 347 counts toward the statistics minor; one course from MTH 323 or MTH 347 counts toward the mathematics minor, but not both; no credit toward the mathematics major

    This course may fulfill a General Education Requirement.  Click here for more information about General Education Requirements.


    Click here for the schedule of courses

  
  
  • MTH 386 - Differential Equations

    [3 credit(s)]
    Prerequisites: A grade of “C” or better in MTH 281 or MTH 283, MTH 288 or MTH 284, and MTH 286 or permission of instructor. Series solutions of second-order linear equations, qualitative behavior of linear and almost linear systems of first-order differential equations, boundary value problems, introduction to partial differential equations. Course includes use of a computer algebra system, such as Maple or MATLAB.


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  • MTH 396 - Junior Seminar

    [2 credit(s)]
    Prerequisites: MTH 182; three of MTH 220, MTH 281, MTH 286 and MTH 288, all grade “C” or better; or departmental approval. Weekly meetings introduce students to a wide range of mathematical topics and also include workshops on various aspects of writing cogent and well-formulated technical reports in mathematics. A primary goal of this course is to prepare the student for MTH 496, Senior Project. Successful completion of the course requires the student having an approved topic and supervisor for MTH 496.


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  • MTH 401 - Mathematical Modeling

    [3 credit(s)]
    Prerequisites:A grade of “C” or better in MTH 284 or MTH 288, MTH 286, and at least one mathematics course numbered 300 or above (MTH 301 recommended) or permission of instructor. Deterministic and probabilistic models chosen from the areas of linear optimization, Markov chains, game theory, graphs and networks, axiom systems, growth processes, and queuing systems. Course includes use of a computer algebra system, such as Maple or MATLAB.


    Click here for the schedule of courses

  
  • MTH 415 - Real Analysis

    [3 credit(s)]
    Prerequisite: A grade of “C” or better in MTH 281 or MTH 283, a grade of “C” or better in at least one mathematics course numbered 300 or above, or permission from the instructor. This course gives a rigorous introduction to the real numbers. Topics include sequences and series, basic topology of the real numbers, functional limits and continuity, the derivative, sequences and series of functions.


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  • MTH 416 - Complex Analysis

    [3 credit(s)]
    Prerequisite: A grade of “C” or better in MTH 281 or MTH 283, a grade of “C” or better in a least one mathematics course numbered 300 or above, or permission of instructor. This course deals with the fundamentals of complex analysis, including basic properties of complex numbers, analytic functions, harmonic functions, integration, Taylor and Laurent series.


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  • MTH 420 - Combinatorial Mathematics

    [3 credit(s)]
    Prerequisite: Grade of “C” or better in MTH 220 and a grade of “C” or better in a 300-level mathematics course or permission of instructor. A study of combinatorial methods for enumeration, analysis and optimization of discrete structures, such as arrangements, partially ordered sets, graphs, and polytopes. The methods include binomial coefficients and other combinatorial functions, recurrence relations, and generating functions.


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  • MTH 421 - Time Series Analysis

    [3 credit(s)]
    Prerequisite: MTH 347 with a grade of “C” or better or permission of instructor. The course will cover techniques of modeling data that are collected sequentially. Topics to be covered include a review of basic ideas of modeling a continuous variable, time series regression, autocorrelation, decomposition methods, exponential smoothing, and ARMA (Autoregressive Moving Average) models. The course will use statistical programming language. Data from a variety of fields will be studied. Counts toward the statistics minor; does not count toward the minor, BA or BS in Mathematics.


    Click here for the schedule of courses

  
  • MTH 424 - Probability Theory and Applications

    [3 credit(s)]
    Prerequisite: A grade of “C” or better in MTH 281 or MTH 283, MTH 284 or MTH 288, and a 300-level mathematics course or permission of instructor. General probability (set functions, basic axioms, independence); Bayes theorem; univariate probability distributions (probabilities, moments, variance, mode, percentiIes, transformations); multivariate probability distributions (central limit theorem, joint conditional and marginal distributions -probabilities, moments, variance, covariance); discrete and continuous time Markov chains; selected applications. Course makes extensive use of appropriate software.


    Click here for the schedule of courses

  
  • MTH 431 - Categorical Data Analysis

    [3 credit(s)]
    Prerequisite: MTH 347 with a grade of “C” or better or permission of instructor. The course will cover techniques of modeling data for data that are categorical rather than continuous in nature. Topics to be covered include joint, marginal, and conditional probabilities, relative risk, odds ratios, generalized linear models, logistic regression, multi-category logit models, and log linear models. The course will utilize data examples from the fields of biology, medicine, health, epidemiology, environmental science, and psychology. The course will use a statistical programming language. Counts toward the statistics minor; does not count toward the minor, BA or BS in Mathematics..


    Click here for the schedule of courses

  
  • MTH 434 - Differential Geometry

    [3 credit(s)]
    Prerequisites: A grade of “C” or better in MTH 281 or MTH 283, MTH 286, and at least one mathematics course numbered 300 or above or permission of instructor. This course focuses on the calculus, linear algebra, and geometry of curves and surfaces, as well as applications to engineering and science. Material covered will include the curvature and torsion of curves, Gaussian and mean curvatures of surfaces, minimal surfaces, and geodesics, Course makes extensive use of a computer system, such as Maple.


    Click here for the schedule of courses

  
  • MTH 435 - Statistical Consulting and Programming

    [3 credit(s)]
    Prerequisite: MTH 347 with a grade of “C” or better, or permission of instructor. This course will have students work in consulting teams with university or community partners on real-world case studies of statistical methods learned in previous courses. Students will prepare written reports and oral presentations that discuss the findings of the analysis. In addition, students will learn data manipulation and graphics skills involving the SAS and R software packages. Counts toward the statistics minor; does not count toward the minor, BA or BS in Mathematics.


    Click here for the schedule of courses

  
  • MTH 436 - Design and Analysis of Experiments

    [3 credit(s)]
    Prerequisites: A grade of C or better in MTH 347 or permission of instructor. This course provides a review of basic statistical concepts and a comprehensive introduction to statistical methods of designing experiments and analyzing data. A variety of experimental designs are covered, and analysis of variance is presented as the primary technique for analyzing data from designed experiments, and in discriminating between various possible statistical models. Students will learn how to use Statistical Software for data manipulation and data analysis.


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  • MTH 467 - Applied Regression Models

    [3 credit(s)]
    Prerequisite(s): A grade of C or better in MTH 347 or permission of instructor. An applied data analysis course focused on regression. A review of simple linear regression will progress into using more than one predictor variable to predict another. Topics will include model checking, variable selection methods, dummy variables, and diagnostic measures. Instruction will include the use of a statistical programming language.


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  • MTH 482 - Topics in Number Theory

    [3 credit(s)]
    Prerequisites: A grade of C or better in MTH 301 or permission of instructor. This course presents advanced topics in number theory. Topics may include primality testing, prime number generation, integer factorization, discrete logarithms, elliptic curves and advanced cryptographic protocols, and other topics chosen by the instructor.


    Click here for the schedule of courses

  
  • MTH 487 - Dynamical Systems

    [3 credit(s)]
    Prerequisites: A grade of C or better in MTH 284 or MTH 288, MTH 286, and at least one mathematics course numbered 300 or above, or permission of instructor. Systems of differential equations, local and global behavior of a vector field in the plane, discrete dynamical systems, structural stability, the Poincare-Bendixon theorem, bifurcations, chaos, and strange attractors. Course includes use of a computer algebra system, such as Maple or MATLAB.


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  • MTH 491 - Financial Mathematics

    [3 credit(s)]
    Prerequisites: A grade of “C” or better in MTH 281 or 283, or permission of the instructor. Basic mathematical interest theory and time value of money, annuities, loan repayment, bonds, equations of value and yield rates, interest rate sensitivity, stocks and financial markets, arbitrage, term structure of interest rates and derivatives. It is designed to prepare for the SOA Exam FM/CAS Exam 2 (Financial Mathematics Exam).


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  • MTH 493 - Special Topics In Mathematics

    [3 credit(s)]
    Prerequisite: A grade of “C” or better in at least one mathematics course numbered 300 or above, or permission of instructor. Detailed study of a selected topic in advanced mathematics. Topic will vary, depending on instructor. May be repeated for credit for a total of 18 credit hours with a change of topic. Consult Mathematics Department for current information.


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  • MTH 493H - Special Topics in Mathematics Honors

    [3 credit(s)]
    Detailed study of a selected topic in advanced mathematics.Topics will vary, depending on instructor.May be repeated for credit for a total of 20 credit hours with a change of topic. This course will demand mathematical rigor to a degree beyond regular mathematics courses.In addition, students will play a more active role in the discovery and exploration of mathematical truth.Consult the Mathematics Department for current information.


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  • MTH 496 - Senior Project

    [3 credit(s)]
    Prerequisites: MTH 396 (grade of S) and at least two other mathematics courses numbered 300 or above, or departmental approval. Prerequisite or corequisite: At least one other mathematics course numbered 400 or above, or departmental approval. Working individually with a faculty supervisor, each student will read papers in technical journals, make an oral presentation, and write a technical report.

    This course may fulfill a General Education Requirement.  Click here for more information about General Education Requirements.


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  • MTH 496H - Honors Project

    [3 credit(s)]
    Students will work individually with a mathematics faculty investigating a mathematical or statistical topic of mutual interest. Students will be required to read articles assigned by the faculty member. A student’s work will consist of a written pre-proposal, and a final paper complete with Abstract, Introduction, Methods, Results, Discussion, and References. In addition, students will give an oral presentation of their work to department faculty and students. This course may fulfill a General Education Requirement.


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  • MTH 497 - Readings In Mathematics

    [4 credit(s)]
    Prerequisite: Departmental approval. Topics studied under supervision of an advisor. May be repeated for credit for a total of 20 credit hours with a change of topic.


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Mechanical Egr Tech

  
  • MET 201 - Statics for Engineering Technology

    [3 credit(s)]
    Prerequisite: MTH 149 or equivalent, PHY 221 or equivalent. Introductory level statics. Analysis of static equilibrium of trusses and frames including forces in members and joints. Section and mass properties, friction, centroids, moment of inertia, radius of gyration and virtual work. Laboratory work will consist of experiments that reinforce the theory (lectures).


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  • MET 202 - Dynamics for Engineering Technology

    [3 credit(s)]
    Prerequisite: MET 201 or equivalent. Statics for Engineering Technology. Introductory level dynamics. Dynamic of particles and bodies in translation or rotation; the kinematics of plane motion, relative motion, the concept of force, mass, and acceleration; work and energy, impulse and momentum. Laboratory work will consist of experiments that reinforce the theory (lectures).


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  • MET 320 - Mechanics Of Materials

    [3 credit(s)]
    Prerequisites: associate-degree-level calculus and statics, or MTH 149 or equivalent and MET 201 or equivalent. Stress under combined loading, stress concentration factors, design stresses, Mohr’s circle, endurance limit and fatigue life, and deflection of variable section beams, method of superposition, bucking. Temperature changes and press fits. Combined stress failure theories. Selection and processing of engineering metals, plastics, and composites. Heat-treating, cold working, and residual stresses. Temperature effects on strength, creep, and ductility.


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  • MET 330 - Advanced Dynamics & Vibrations

    [3 credit(s)]
    Prerequisites: associate-degree-level calculus and statics, or MTH 149 or equivalent and MET 201 or equivalent. Displacement, velocity and acceleration of particles and rigid bodies with combined translation and rotation. Reaction and inertia forces and mass and polar moments of inertia. Analysis by equations of motion, force-acceleration, work-energy, and impulse-momentum. Conservative and non-conservative forces and moments. Free and forced vibrations, natural frequency, and fundamentals of damping and vibration isolation.


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  • MET 345 - Thermodynamics

    [3 credit(s)]
    Prerequisites: associate-degree-level calculus, physics, and dynamics; or MTT 169 or equivalent, PHY 221 or equivalent, and MET 202 or equivalent. Co-requisites: MTT 300. The study of the classical thermodynamics approach to control volumes and control masses; properties and processes of liquids and gases; the zeroth, first, and second laws applied to control volumes and control masses. Fluid power systems. Refrigeration and heat pump systems. Power and refrigeration cycles.


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  • MET 350 - Fluid Mechanics

    [3 credit(s)]
    Prerequisite: MTT 300 or equivalent, PHY 221 or equivalent. The fundamentals of fluid mechanics, including the properties of fluids, pressure, hydrostatics and dynamics of fluid flow. Laminar and turbulent flow, friction losses, and sizing of pipes. Pump section and application. Selected course topics are included as computer programming projects.


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  • MET 351 - Thermal Fluid Lab

    [2 credit(s)]
    Prerequisite: MET 345 or equivalent, MET 350 (as a prerequisite or corequisite) or equivalent. Co-requisite: MET 350. Laboratory experiments in selected topics in fluids flow, heat transfer, and thermodynamics. Introduction to validity of measurements, statistical analysis, error and uncertainty analysis.


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  • MET 410 - Design Of Machine Elements

    [3 credit(s)]
    Prerequisites: MET 320 or equivalent, MET 330 or equivalent, MTT 301 or equivalent. Design, analysis, and selection of components used in machines, including shafts, gears, clutches, brakes, bearings, fasteners, springs, and bolted and welded frames. Determination of appropriate design stresses and deflections for strength, durability, and function. Selection of materials and processing and manufacturing considerations.


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  • MET 411 - Mechanical Measurement Laboratory

    [1 credit(s)]
    Prerequisites: MET 320 or equivalent, MET 330 or equivalent, MTT 301 or equivalent. Principles and application of mechanical instrumentation and experimentation. Sensing elements, signal conditioning, data acquisition, statistical analysis of data, and instrumentation system design.


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  • MET 420 - Heat Transfer

    [3 credit(s)]
    Prerequisites: MET 320 or equivalent, MET 330 or equivalent, MTT 301 or equivalent. The mechanisms of heat transfer, including conduction in one and two dimensions, forced and free convection, internal and external flows, heat exchangers, and introduction to radiation.


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  • MET 445 - Solid Modeling Applications

    [3 credit(s)]
    Prerequisites: Associate-degree-level CAE design course, and MET 410 or equivalent (as a prerequisite or corequisite). Development and application of solid models of components and assemblies in engineering design and analysis. Use of solid models in problems related to component design, stress analysis, fluid flow, heat transfer, machine dynamics, and assembly interference. Production of engineering drawings, visual representations, and data files for machining and rapid prototyping. Accuracy and validity considerations of solid models.


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  • MET 450 - Mechanical System Design

    [3 credit(s)]
    Prerequisites: MET 330 or equivalent, MET 410 or equivalent. Design and analysis of mechanical systems made up of gears, clutches, brakes, bearings, bolted and welded frames, considering interactions among components. Use of standard components. Determination of appropriate design stresses and deflections for strength, durability, and function. Optimization of assembly for cost, weight, durability, etc. Consideration of professional responsibilities in design.


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  • MET 470 - Senior Design A

    [1 credit(s)]
    Prerequisites: Senior standing and all required 300-level program courses. Planning for the capstone course, MET 480 Senior Design B, to demonstrate the ability to define a problem in engineering terms and develop a realistic plan to complete an engineering project. A comprehensive written plan including budget, equipment requirements, time schedule, problem description, design alternatives, and tentative design will be prepared. Students are expected to extend their knowledge through self-study and research in developing and assessing design options. Ethical, legal, and environmental considerations are included. Students are encouraged to propose team projects.


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  • MET 480 - Senior Design B

    [3 credit(s)]
    Prerequisite: MET 470 in previous semester, or permission of instructor. Capstone course to demonstrate mastery of analysis and design techniques and engineering judgment applied to a realistic engineering problem. A comprehensive report including research, testing, and analysis results will be required along with an oral presentation. Professional, ethical, social, and legal considerations will be considered


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  • MET 497 - Special Topics Met

    [6 credit(s)]
    Prerequisite: Senior standing or permission of instructor. Independent study on a special topic or project under the guidance of a faculty member. May be repeated for credit for a total of 9 credit hours with a change of topic. Technical Elective.


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Mechanical Engineering

  
  • MCE 180 - CAE Lab I

    [2 credit(s)]
    Use of rendering software to represent mechanical components; mechanical drawings; geometric dimensioning and tolerancing; introduction to assemblies.


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  • MCE 181 - CAE Lab II

    [2 credit(s)]
    Prerequisite: MCE 180. Advanced features of rendering software to represent mechanical components and assemblies; top-down modeling; bill of materials; sheet metal assembly; mold design; surface generation; file export for rapid prototyping; introduction to FEA.


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  • MCE 260 - Kinematics

    [3 credit(s)]
    Prerequisite: ESC 152, ESC 202, MTH 281. Determination of the displacement, velocity, and acceleration of planar mechanisms; synthesis of linkages for specified positions and motion; analysis and design of cams.


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  • MCE 276 - Eng Materials & Manuf Processes

    [3 credit(s)]
    Prerequisite: MCE 181. Co-requisite: MCE 286. Material properties and their modification through material processing; manufacturing processes utilized in the production various products and components.


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  • MCE 286 - Manufacturing Processes Lab

    [1 credit(s)]
    Prerequisite: MCE 181. Co-requisite: MCE 276. Application of the manufacturing process to the transformation of parts. Use of simple production equipment to the production of simple parts.


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  • MCE 324 - Introduction to Heat Transfer

    [3 credit(s)]
    Prerequisites: ESC 250, ESC 301. Steady and unsteady conduction in one- and two-dimensions; forced convection, internal and external flows; elements of thermal system design.


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  • MCE 362 - Machine Analysis

    [3 credit(s)]
    Prerequisites: ESC 211, MCE 181, MCE 276. Review of multidimensional stress, strain, and resulting deflection for various geometries and loading conditions; stress concentation; contact stress; static failure theories for ductile and brittle materials; column/strut loading and failure prediction; fracture mechanics. Use of modern analysis tools and comparison to classical equation-based solutions.


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  • MCE 365 - Machine Design I

    [3 credit(s)]
    Prerequisite: MCE 362. Design of machine components within the framework of realistic constraints such as cost, size, weight, materials, and safety; fatigue failure analysis. Design and analysis of components subjected to static and dynamic loads: clutches, brakes, springs, shafts & shaft components, welded joints, screws, fasteners & non-permanent joints.


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  • MCE 371 - Vibrations

    [3 credit(s)]
    Prerequisites: ESC 202, ESC 250. Single- and multi- degree of freedom system analysis; free and forced excitation; transient and steady state response; applications of vibration analysis for isolation and absorption; case studies in application of vibration analysis; term project.


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  • MCE 403 - Modeling and Simulation of Mechatronic Systems

    [3 credit(s)]
    Co-requisite: MCE 441. Unified approach to modeling of dynamic systems using bond graphs, with emphasis in electromechanical systems; object-oriented and automated modeing concepts; computer simulation.


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  • MCE 421 - Applied Thermodynamics

    [3 credit(s)]
    Prerequisite: ESC 321. Co-requisite: MCE 481. Entropy,irreversibility, second law efficiency, combined gas-vapor power cycles, cogeneration; air power, refrigeration, and heat pump cycle and system analysis; gas mixtures and psychrometrics; combustion fundamentals, chemical reactions, chemical and phase equilibrium; energy conversion systems analysis and design.


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  • MCE 424 - Applied Heat Transfer

    [3 credit(s)]
    Prerequisite: ESC 321, MCE 324. Convective heat and mass transfer analogies; free and forced convection; phase change; radiation in enclosure and gaseous media; thermal systems analysis and design of heat exchangers, heat pipes, solar systems, humidifiers.


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  • MCE 425 - Heating, Ventilation & Air Conditioning

    [3 credit(s)]
    Prerequisites: MCE 324. Design of heating, air-cpnditioning, and total- energy systems to provide thermal environments for building structures ranging in scope from single residence to integrated commercial, apartment, or industrial complexes. Course includes factors affecting human comfort, psychometrics, heating and air-conditioning systems, heat pumps, geothermal systems, and utilization of solar energy; computer simulation of transient and steady-state heating and cooling loads in buildings; the selection of controls and appropriate equipment size.


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  • MCE 430 - Applied Fluid Mechanics

    [3 credit(s)]
    Prerequisite: ESC 301, ESC 321. Navier-Stokes equations; scaling; boundary layer analysis; momentum-integral techniques; friction and pressure drag and lift; applications to aerodynamics; compressible flow; turbomachinery; complex piping systems.


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  • MCE 441 - Linear Control Systems

    [3 credit(s)]
    Prerequisites: ESC 350, MCE 371. Introduction to mathematical modeling and design of engineering dynamic systems; controller design; stability analysis; root-locus techniques; Bode diagrams; transient and steady-state response; design of closed-loop control systems.


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