2022-2023 Academic Catalog [Archived Catalog]
Courses
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Prerequisites:
A “C-” or higher is required for all prerequisite courses. |
Course Numbering:
100-299 - Lower division Undergraduate
300-499 - Upper division Undergraduate
500-699 - Graduate
700-799 - Doctoral |
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Search Tip: Use the asterisk (*) key as a wild card.
Example: Select “Prefix” NURS and enter 6* in the “Code or Number” field to return all Nursing courses at the 600 level.
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Cross-listed courses have the same educational outcome and the course can be used interchangeably for degree requirements. (Ex. HUM-118 and ENGL-118) Related courses have shared attributes, but because they have different expectations and educational outcomes, may not be utilized interchangeably for degree requirements. (Ex. DSCI-303 and DSCI-503) Both types of courses can be offered at the same times, dates, share a classroom and instructors, etc.
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MATH 102 - Everyday Data
Credits: 3
Everyday Data course gives a foundation to the world of data science and Excel. No computer science background is required from students. The sections under study include data collection, data organization, data description, data presentation using Excel and statistical analysis using Excel. The course is designed to help students to gain an understanding on data and statistical analysis using Excel.
Note: If students finish MATH-102, then they can take MATH-116 without MATH-100.
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MATH 115 - Contemporary Mathematics
Credits: 3
A survey of topics in modern mathematics designed for the liberal arts/social science student, the emphasis is on concepts, applications and critical thinking rather than manipulative skills. Technology will be used as a tool in this course. Mathematical topics, with historical perspectives, will include reasoning, probability, statistics, graph theory, geometry, consumer mathematics, and number systems.
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MATH 116 - Intermediate Algebra
Credits: 3
This course assumes that the student is familiar with elementary algebra. Topics include real numbers and their properties; linear equations and inequalities; polynomial expressions; radical expressions; quadratic equations; graphs of linear and quadratic equations; systems of equations and word problems.
Prerequisite: MATH-100 or MATH-102
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MATH 117 - College Algebra
Credits: 3
This course assumes that the student is familiar with the fundamentals of algebraic concepts, expressions, equations, and inequalities. Topics include functions and their graphs; polynomial and rational functions; exponential and logarithmic functions; systems of equations and inequalities; partial fractions; operations with matrices; arithmetic and geometric sequences and series.
Prerequisite: MATH-116
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MATH 125 - College Algebra and Trigonometry
Credits: 3
This course meets the math needs of students who major in science, physical therapy, pre-engineering and mathematics. This is a fast-paced course. In addition to all the topics of college algebra, this course includes topics from trigonometric functions. Topics include polynomial and rational functions, exponential and logarithmic functions, systems of equations and inequalities, partial fractions, sequences and series, trigonometric functions, trigonometric identities and equations, applications of trigonometry.
Prerequisite: MATH-116
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MATH 135 - Mathematics for Scientists
Credits: 3
This course is required for the students who are acquiring degrees in sciences. The topics that will be covered ranges from elementary algebra to trigonometry. Students will learn to apply math skill in real world science applications.
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MATH 141 - Elementary Statistics
Credits: 3
This course is an introduction to the basic concepts of both descriptive and inferential statistics. The topics include data collection and sampling techniques, frequency distributions and graphs, data descriptions and boxplots, addition, multiplication, conditional probability and counting rules, discrete probability distributions, binomial distributions, normal distributions and applications, central limit theorem, confidence intervals and sample size, testing of hypotheses.
Prerequisite: MATH-117
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MATH 151 - Calculus I
Credits: 4
Topics include concepts of limit and continuity; derivatives and their applications; chain rule; implicit differentiation; linearization and differentials; extreme values of functions; monotony and concavity of functions; the mean value theorem; indefinite integrals and substitution method; fundamental theorems of calculus; definite integrals and applications.
Prerequisite: MATH-125
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MATH 152 - Calculus II
Credits: 4
This course is the second course in the calculus course (I, II, III) sequence. Topics include functions; techniques of integration including integration by parts, partial fractions method, and trigonometric substitutions; improper integrals; sequences, series, and Taylor’s formula; and parametrizations of curves, polar coordinates.
Prerequisite: MATH-151
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MATH 202H - Honors Everyday Data
Credits: 4
Data is important and is effectively changing the world we live in. We can use data to help us make good decisions and take advantage of new opportunities. This seminar course gives students a foundation to the world of data and statistical skills. By the end of the course students will be familiar with data collection, processing, analysis, visualization, and interpretation.
General Education Area: Sciences
Prerequisite: Membership in Bascom Honors Program
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MATH 207 - Algebra for Educators
Credits: 3
This course is designed only for elementary and middle school/secondary math education majors. Topics include rational number representations, algebraic expressions & equations, linear equations, and systems of linear equations. Problem solving and application problems will be incorporated throughout the course.
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MATH 208 - Geometry and Statistics for Educators
Credits: 3
This course is designed only for elementary and middle school education majors. This course includes the study of geometry and data analysis. Geometry topics include measurement, geometric concepts, right triangle geometry, formal & informal proofs, and coordinate geometry. Data analysis topics include random sampling, central tendency, variability, and graphs. Problem solving and application problems will be incorporated throughout the course.
Prerequisite: MATH-100
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MATH 220 - Finite Mathematics
Credits: 3
This course meets the needs of students who are majoring in education, business and various majors in the College of Arts and Sciences. Topics included in this course are probability and set theory, permutations and combinations, matrices, linear programming, finance, logic and statistics. Students will apply principles to real world problems.
Prerequisite: MATH-125
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MATH 239 - Fund Secondary Teaching
Credits: 3
The course offers an introduction to lesson planning, assessment, pedagogy and curricular standards needed to teach secondary students. It builds the capacity for becoming a secondary teacher through the exploration of curricular and pedagogical practices that foster teaching for conceptual understanding, inquiry skills, 21st century skills of communication, collaboration, critical thinking and creativity.
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MATH 245 - Analytics of Baseball
Credits: 3
The course will focus on the different statistical aspects associated with constructing a baseball team. Focus will look at the areas of gathering, analyzing and communicating statistical data for use in determining players for a roster, looking at player performance, in-game strategy and day to day team operations. There will be an emphasis on establishing a personally customized framework for optimum performance to produce a successful team.
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MATH 251 - Calculus III
Credits: 4
This is the third course of the calculus sequence. Topics include vector-valued functions; partial derivatives and applications; multiple integrals and applications; double integrals in polar form; substitutions in multiple integrals; line integrals; Green’s Theorem in the plane; surface integrals; Stoke’s Theorem.
Prerequisite: MATH-152
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MATH 297 - Special Studies
Credits: 1-4
These courses are offered periodically based on the interests of our students and faculty. More information can be requested from the department.
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MATH 300 - Algebraic Structures and Proofs
Credits: 3
This course introduces the basic mathematical theory and proofs of the fundamental theorems and formulas in preparation for further studies in mathematics, data science, and mathematics education. The course prepares students for the demand of advanced courses while giving students an opportunity to witness and participate in the intrinsic beauty of formal mathematical thought. Topics include logic; set theory and related topics, mathematical induction and recursion; fundamental counting principles; combinatorics; basic study of number theory; and complex numbers.
Prerequisite: MATH-151 or AP Calculus AB
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MATH 301 - Math Modeling- VBA
Credits: 3
This course complements and continues the technical computer training offered in DSCI-201. The content focuses on business applications including finance, statistics, and mathematical modeling. The applications provide the context for developing programming skills, using the Visual Basic Applications language as the programming vehicle and potential application in automation.
Prerequisite: DSCI-201
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MATH 311 - Discrete Mathematics
Credits: 3
This course introduces students to basic discrete mathematics concepts. Topics include logic, elementary number theory methods, number systems, sets, functions and relations, counting and probability, theories of graphs and trees, and analysis of algorithm efficiency.
Prerequisite: MATH-117
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MATH 312 - Number Theory with Applications
Credits: 3
This course covers fundamental principles of number theory. Topics include primes and composites; divisors and multiples, divisibility, remainders; the Euclidean Algorithm; the fundamental theorem of arithmetic; congruencies and applications of congruencies; and continued fractions.
Prerequisite: MATH-125
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MATH 316 - Applied Linear Algebra
Credits: 3
This one semester course is designed to introduce the students to the fundamental concepts underlying the study of linear algebra. Topics include matrix algebra; systems of linear equations; vector spaces and subspaces; basis and dimensions; orthogonality; determinants; eigenvalues and eigenvectors; diagonalization of matrices; and linear transformations.
Prerequisite: MATH-151
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MATH 320 - Applied Differential Equations
Credits: 3
This course introduces the use of mathematical modeling based on calculus and differential equations. Topics include first-order differential equations; Euler’s method and Runge-Kutta method; linear equations of higher order; non-linear differential equations; systems of equations; transforms; and numerical methods. Practical applications are emphasized and computers will be employed to illustrate the underlying mathematical principles.
Prerequisite: MATH-251
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MATH 330 - College Geometry
Credits: 3
This course is required for Secondary Education students specializing in math. It is also taken by math majors who are interested in geometry or who want to gain experience in writing proofs before they attempt more advanced math courses. Topics include triangles congruence, polygons, Pythagorean Theorem, formal/informal proofs, coordinate systems, conic sections, and transformations.
Prerequisite: MATH-151
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MATH 333 - Introduction to Probability and Statistics
Credits: 3
This course provides an introduction to probability and statistics with applications. Topics include: basic counting methods, random variables, discrete and continuous probability distributions, Bayesian inference, hypothesis testing, confidence intervals, and linear regression.
Prerequisite: MATH-152
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MATH 351 - Advanced Calculus
Credits: 3
This course covers the differential calculus in the setting of normed vector spaces, and the calculus of differentiable manifolds of the calculus sequence. Topics include normed vector spaces, differential calculus, differential equations, integration theory, differential manifolds, and integral calculus on manifolds.
Prerequisite: MATH-251
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MATH 370 - Probability I
Credits: 3
This is the first in a sequence of two one-semester courses on probability. Topics include basic probability concepts, conditional probability, Bayes Theorem, distribution of random variables; moments, moment generating functions, percentiles, mode, skewness, univariate transformations, discrete distributions (binomial, uniform, hypergeometric, geometric, negative binomial, Poisson), and continuous distributions (uniform, exponential). This course is calculus—based.
Related Courses: MATH-570
Prerequisite: MATH-151
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MATH 371 - Probability II
Credits: 3
This is the second in a sequence of two one-semester courses on probability. Topic includes probability function and probability density function of one continuous random variable such as exponential distribution, normal distribution, Gamma distribution, beta distribution, and log normal distribution; mixed distributions; joint probability functions and joint probability density functions; conditional probability and marginal probability distributions; central limit theorem; joint moment generating and transformations; covariance and correlation coefficients. This course is calculus based.
Related Courses: MATH-571
Prerequisite: MATH-370
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MATH 372 - Mathematical Statistics
Credits: 3
This course introduces students to basic concepts of inference and main methods of estimation. Topics include statistical inferences such as point and interval estimation of parameters, statistical hypotheses and statistical tests; inferences for single samples; inference for two samples; inferences for proportion and count data; and advance estimation methods including Moment, percentile matching and Maximum Likelihood. This course emphasizes the applications of the theory to statistics and estimation. This is a calculus-based one semester course. Project based learning is used to help students develop effective problem solving skills and effective collaboration skills. Students who receive a B- or higher in this course are eligible to receive VEE (Validation by Education Experience) credit from the Society of Actuaries in Mathematical Statistics.
Related Courses: MATH-572
Prerequisite: MATH-371
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MATH 397 - Special Studies
Credits: 3
These courses are offered periodically based on the interests of our students and faculty. More information can be requested from the department.
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MATH 405 - Statistical Modeling I
Credits: 3
This course focuses on model development, interpretation, understanding assumptions and evaluation of competing models. Topics include the basics of statistical learning, linear models, and time series models. This course covers a majority of the learning objectives for the Society of Actuaries (SOA) examination SRM (Statistics for Risk Modeling).
Related Courses: MATH-505
Prerequisite: DSCI-302 and MATH-372
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MATH 406 - Statistical Modeling II
Credits: 3
MATH-406 and ACSC-407 cover the learning objectives from Examination STAM (Short-Term Actuarial Models) of the Society of Actuaries. Topics include constructing empirical models; estimating the parameters of failure time and loss distribution using different methods such as maximum likelihood method of moments, Kaplan-Meier estimator, Nelson- Aalen estimator and kernel density estimators; determining the acceptability of a fitted model; comparing models using graphical procedures, Kolmogorov-Smirnov test, Chi-square goodness of fit test, likelihood ratio test, Schwarz Bayesian criterion, and Akaike Information criterion.
Related Courses: MATH-506
Prerequisite: MATH-372
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MATH 420 - Experimental Design for the Life Sciences
Credits: 3
This course covers research methods, design and statistical analysis for Biology, Chemistry, Physics and other sciences research questions. Topics includes the analysis of variance, regression models, factorial designs, fractional factorial designs, response surface methodology, nested and split-plot designs, the non-normality of response and the Box-Cox method for selecting the form of a transformation.
Cross-listed: BIOL-420
Prerequisite: MATH-141
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MATH 430 - Fundamental Analysis
Credits: 3
The fundamental analysis course will cover topics both in real analysis and complex analysis. Topics covered in real analysis include sets, properties of the real numbers, compactness of closed intervals, the countability compact property of closed intervals, continuous functions, completeness of the real number line. Topics in complex analysis will cover complex numbers, complex plane, Cauchy Reimann equations, and Cauchy’s Integral theorem, concept of the periodic function, Fourier series, Fourier transformation.
Prerequisite: MATH-251
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MATH 450 - Matrix Applications
Credits: 3
Matrix and Data frames are essential components of Data analysis and Machine Learning. This course provides a nice head start to students with concepts of matrix computations. Topics covered: Matrix multiplication, Matrix Analysis such as Vector Norms, Matrix Norms, Subspace Matrices and Finite Precision Matrix Computation. Other topics includes Triangular systems, Guassian Elimination, Pivoting, Topics in Special Linear Systems, and Functions. Every chapter is supported by intuitive practice problems. The pseudo codes are available in Matlab.
Prerequisite: MATH-316
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MATH 460 - Optimization
Credits: 3
Optimization is an essential and important technique for solving problems in many disciplines. Topics covered in the course will be Introduction to Modeling, Linear Programming, The Simplex Method, Network Models, Integer Programming, and Non-Linear Programming. Modern, real-world examples motivate the theory throughout the course.
Prerequisite: MATH-316
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MATH 470 - Introduction to Abstract Algebra
Credits: 3
A first introduction to abstract algebra through group theory with an emphasis on concrete examples. The course will introduce groups, subgroups, homomorphisms, quotients groups and prove foundational results including Lagrange’s theorem, Cauchy’s theorem, orbit-counting techniques and the classification of finite abelian groups. The concepts of ring and field will be introduced.
Prerequisite: MATH-316
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MATH 497 - Special Studies
Credits: 1-4
These courses are offered periodically based on the interests of our students and faculty. More information can be requested from the department.
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MATH 498 - Seminar
Credits: 3
The course covers the historical development of mathematics involves some degree of understanding of the mathematics. Students will be expected to read more than traditional mathematics courses in order to gain insight into several areas of mathematics and relevant historical perspectives. Projects and presentations will be required for the courses.
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MATH 505 - Statistical Modeling I
Credits: 3
This course focuses on model development, interpretation, understanding assumptions and evaluation of competing models. Topics include basics of statistical learning, generalized linear models, time series models, principal components analysis and decision trees.
Related Courses: MATH-405
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MATH 506 - Statistical Modeling II
Credits: 3
MATH-506 and ACSC-607 cover the learning objectives from Examination STAM (Short-Term Actuarial Models) of the Society of Actuaries. Topics include constructing empirical models; estimating the parameters of failure time and loss distribution using different methods such as maximum likelihood method of moments, Kaplan-Meier estimator, Nelson- Aalen estimator and kernel density estimators; determining the acceptability of a fitted model; comparing models using graphical procedures, Kolmogorov-Smirnov test, Chi-square goodness of fit test, likelihood ratio test, Schwarz Bayesian criterion, and Akaike Information criterion.
Related Courses: MATH-406
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MATH 509 - Mathematics for Artificial Intelligence
Credits: 3
This course provides students with the necessary mathematical background to understand algorithms encountered in machine learning, artificial intelligence, and related fields. Topics covered include probability theory, statistics, calculus, calculus, linear algebra, and optimization.
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MATH 520 - Statistics for Science Research
Credits: 3
This course covers research methods, design and statistical analysis for Biology, Chemistry, Physics and other sciences research questions. Topics includes the analysis of variance, regression models, factorial designs, fractional factorial designs, response surface methodology, nested and split-plot designs, the non-normality of response and the Box-Cox method for selecting the form of a transformation.
Prerequisite: MATH-141
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MATH 571 - Probability II
Credits: 3
This is the second in a sequence of two one-semester courses on probability. Topic includes probability function and probability density function of one continuous random variable such as exponential distribution, normal distribution, Gamma distribution, beta distribution, and log normal distribution; mixed distributions; joint probability functions and joint probability density functions; conditional probability and marginal probability distributions; central limit theorem; joint moment generating and transformations; covariance and correlation coefficients. This course is calculus based.
Related Courses: MATH-371
Prerequisite: MATH-570
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MGMT 321 - Principles of Management
Credits: 3
This course studies the basic theories and concepts of management including the evolution of management, ethics, decision making, organizational structure, motivation, communication, group dynamics and team building, planning, job design, leadership and organizational change.
Prerequisite: BUS-150 and ISYS-100
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MGMT 388 - Training and Development
Credits: 3
A robust training and development strategy and infrastructure create, promote, and foster individual and organizational effectiveness. This course is designed to help human resource professionals use a systematic approach to identify training needs, and develop and conduct an array of innovative and diverse programs in support of an organization’s commitment to employee development, partnerships, and organizational enrichment to maintain its competitive position in today’s business environment. It will address training needs, instructional objectives, learning preferences, training design and delivery, and evaluation of workshops. Instruction will emphasize active training and learning by doing.
Cross-listed: HRMG-388
Prerequisite: HRMG-330
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MGMT 470 - Interpersonal Management Skills
Credits: 3
Focusing on students’ preparedness to enter the workforce, this course concentrates on helping them develop a broader and deeper understanding of human relations principles and practices. The ability to understand and cope effectively with today’s work and life issues and problems is an important skill to master. Trends such as globalization, increasing workforce diversity, teamwork, and flat organizational structures require a more nuanced and current understanding of the complexities associated with human relations. Students will explore topics related to attitude, motivation, individual approach to work, communication, personal performance management, job satisfaction, conflict management, individual differences and personality, decision-making, workplace change, and stress and health.
Prerequisite: MGMT-321
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MGMT 472 - Organizational Behavior
Credits: 3
Students in this course will study the behavior of people in work situations and learn major theories and concepts pertaining to organizational behavior, applying these theories and concepts to organizational problems and change management. The enhancement of the effectiveness of an organization’s human resources is the primary focus of the course.
Cross-listed: ORGL-472
Prerequisite: MGMT-321 or ORGL-374
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MGMT 487 - Leadership
Credits: 3
This course studies the relationship of strategic leadership and decision making to organizational effectiveness.
Prerequisite: MGMT-321
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MGMT 493 - Cooperative Education
Credits: 1-4
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MGMT 496 - Independent Study
Credits: 1-4
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MGMT 497 - Special Topics
Credits: 1-3
These courses are offered periodically based on the interests of our students and faculty. More information can be requested from the department.
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MGMT 499 - Management Internship
Credits: 1-4
Note: A maximum of 3 credit hours of internship credit can count towards the major or minor requirements/electives. Students may take additional hours (up to 18 total) of internship credit, however, remaining credits will be applied to general electives.
Related Courses: ACCT-499, BUS-499, FIN-499, HRMG-499, ISYS-499, and MKT-499
Prerequisite: Permission of supervising faculty
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MGMT 597 - Special Studies
Credits: 1-4
These courses are offered periodically based on the interests of our students and faculty. More information can be requested from the department.
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MGMT 631 - Entrepreneurship
Credits: 3
This course examines the challenges of bringing a new business and/or product to the marketplace and the strategies involved in obtaining financing. The focus is on the design of a business plan; obtaining financing from outside sources, and creating the appropriate marketing mix for success.
Prerequisite: MGMT-647
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MGMT 647 - Organizational Behavior and Development
Credits: 3
Course topics include the history of management, perception and communication, motivation theory, leadership and power, group dynamics, conflict management and work design theory.
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MGMT 670 - Interpersonal Management Skills
Credits: 3
This course will focus on further preparing the student to enter the workforce by concentrating on a greater understanding of human relations principles and practices. (Career success is a function of many facets.) The ability to understand and cope effectively with todays work and/or life issues and problems is a skill that is valued by most employers. Many trends, such as workforce diversity, flatter organizations, globalization, teamwork, workplace violence, require a greater understanding of human relations.
Prerequisite: MGMT-647
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MGMT 687 - Leadership
Credits: 3
This course examines the current leadership literature and traces the development of leadership theory. It stresses the strategic nature of leadership and its role in contemporary organizations. Students conduct self assessments of their personal leadership skills and participate in many activities designed to develop leadership and skills in team building.
Prerequisite: MGMT-647
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MGMT 691 - Management Policies (Capstone)
Credits: 3
This capstone course summarizes prior required curriculum in ethics, information technology, accounting and management. Using primarily a case study approach, the course integrates the components into a strategic decision-making model.
Prerequisite: BUS-643, MGMT-647, MGMT-670, ISYS-650, BUS-640, MGMT-687, MGMT-640, and ACCT-610
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MGMT 697 - Special Studies
Credits: 3 Please note that effective Spring 2023 this course will be variable credit (.5-3 cr hrs)
These courses are offered periodically based on the interests of our students and faculty. More information can be requested from the department.
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MHA 500 - Graduate Preparation Course
Credits: 0.00
This course provides all graduate students an opportunity to review essential content prior to starting a graduate program in the Walker College of Health Professions. This course consists of exercises involving paraphrasing, citing, avoiding plagiarism, and online student handbook review. Taken concurrently with MHA-610.
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MHA 502 - Statistics
Credits: 0
This course is designed to offer students the skills necessary to interpret and critically evaluate statistics commonly used to describe, predict, and evaluate data in an information driven environment. The focus is on the conceptual understanding of how statistics can be used and how to evaluate statistical data.
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MHA 610 - Healthcare Industry and its Impact on Healthcare Management
Credits: 3
The course provides an extensive overview of leadership in the U.S. health services system. The focus of the course will be on the role health services leadership plays in the delivery of healthcare services, including financial management, services utilization, regulatory compliance issues, etc. The student will explore the key theoretical and practical elements of leadership as well as current issues clarifying how the U.S. health services system is organized, managed, and financed.
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MHA 615 - Healthcare Operations
Credits: 3
In this course, students examine operational concepts related to delivering quality, consistent and cost-effective patient care across the healthcare system. Students gain an understanding of the major functions of operations management, governance and organizational structures. The course will address specific concepts related to understanding how to perform an operational assessment; taking a systems perspective on the organization and delivery of services; identifying problems and improvement opportunities using analytical techniques; and monitoring performance data to identify trends and variation based on current operations and those resulting from changes and improvements.
Prerequisite: MHA-610
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MHA 630 - Healthcare Human Resources & Organizational Behavior
Credits: 3
This course provides a systematic application of the principles of organizational behavior to understanding professional roles in health services organizations. Students will explore governance theory and structures in a healthcare setting, medical staff structures and its relationship to facility operation (credentialing, privileging, and disciplinary processes). Students will also examine topics in human resources including recruiting, hiring, compensation, incentives, and performance-based evaluations, as well as reviewing the legal and regulatory environment of human resources management and a discussion of healthcare labor markets.
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MHA 631 - Healthcare Quality and Performance Improvement
Credits: 3
Quality and performance improvement is critical to the success of every healthcare organization. Students will explore quality improvement techniques with an emphasis on the roles of patient and health professional in improving healthcare delivery, outcomes tracking, analysis, and impact on practice performance and patient care. Specific topics include clinical care, patient safety, waste and cost reduction and delivery of the most cost-effective care possible.
Prerequisite: MHA-615
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MHA 651 - Healthcare Law, Ethics and Risk Management
Credits: 3
This course explores the legal, policy and ethical challenges found in the healthcare system, and investigates the role of the healthcare administrator as decision-maker, leader and ethical steward of the healthcare administration profession.
Prerequisite: MHA-610
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MHA 655 - Healthcare Financial Management
Credits: 3
This course applies financial principles to management within various organizations in the healthcare industry. Topics include resource allocation, cost analysis, budgeting and funding sources. Students will learn how financial decisions are made, reported, and implemented in health care organizations.
Prerequisite: MHA-615
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MHA 656 - Population Health Management
Credits: 3
In this course, students will be exposed to management principles of healthcare quality and the origin, distribution and control of disease. Theories of health behavior relevant to individual and community health promotion program planning will also be explored. Students will examine formal and informal programs and strategies used to enhance the healthcare provider’s performance, quality outcomes, and patient satisfaction.
Prerequisite: MHA-615
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MHA 660 - Healthcare Technology & Information Systems
Credits: 3
This course provides explores the fundamentals of information technology in the healthcare industry. It includes an exploration of how information technology supports clinical services, quality improvement, and administrative functions in health services organizations.
Prerequisite: MHA-615
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MHA 670 - Healthcare Marketing
Credits: 3
This course examines the theory, concepts, skills, and principles of marketing applied to health related organizations and networks. Students will analyze marketing theories and methodologies applied to health care marketing, consumer decision making about health, and marketing research techniques. Emphasis is placed on the effective use of social media and digital marketing techinques in healthcare. The course will culminate with the development of a strategic marketing plan for a healthcare product or service.
Prerequisite: MHA-656
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MHA 671 - Health Policy And Economics
Credits: 3
This course provides a holistic review of the application of economics and policy-making process to the roles of markets and government in health care. Students will explore the concepts used by economists to analyze health outcomes, health behaviors, health care markets, health insurance markets, and the role of government.
Prerequisite: MHA-656
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MHA 675 - Healthcare Analytics
Credits: 3
Data is driving change in the healthcare industry. In this course, students will look at the types of available healthcare data, as well as different types of analytic tools to initiate meaningful decisions regarding operations and management, quality, performance improvement, outcomes assessment, and marketing. It builds upon previous knowledge of basic statistics and analytics, concepts, and tools by applying them specifically to the health care system.
Prerequisite: MHA-660 and MHA-656
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MHA 676 - Healthcare Informatics
Credits: 3
This course provides an indepth multi-disciplinary analysis of the strategic management of information technology in healthcare organizations. Specific topics include: electronic health records, health information exchange, the impact of information technology on quality of care and patient safety. Students will focus on information system acquisition and the implementation process including assessing the need for information technology, cost analysis and justification, Request for Proposal (RFP) process and implementation.
Prerequisite: MHA-660
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MHA 677 - Healthcare Analytics II & Project Management
Credits: 3
Informatics and analytics are critical for the healthcare leaders and organizations to thrive in the ever-changing healthcare environment. In this course, students will learn to leverage and maximize health data tools and applications to achieve operational, quality, and research outcomes. Students will learn to understand structured query language, data quality issues, and data mining techniques as well as a working knowledge of the tools necessary to manage projects effectively, shape the data analysis, and report and share healthcare data to make meaningful decisions and operational change.
Prerequisite: MHA-675
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MHA 680 - Introduction To Gerontology
Credits: 3
This course provides a multidisciplinary perspective of the biological, psychological and sociocultural aspects of aging. An overview of the issues that significantly impact the older adult, their family and society is presented. The demographics profile of America’s older adult serves as a basis for explaining issues related to physical and mental health changes, role transitions, care and living arrangements, and the role of the older adult in our society.
Prerequisite: MHA-615 & MHA-656
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MHA 681 - Assisted Living / Senior Services Management
Credits: 3
This course provides an overview of the senior services industry and the different forms of senior health care and living services. Students will learn about the day-to-day management of assisted-living communities, including resident care, operations, finance and budgeting, human resources and staffing, and successful marketing and community relations. Students will also examine the future of the industry and approaches to creating next generation of assisted-living services.
Prerequisite: MHA-615
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MHA 685 - Managerial Epidemiology
Credits: 3
This course focuses on core epidemiological concepts including measures of occurrence of health events and methods of data collection. Students will explore practical applications of epidemiology to health services planning, quality monitoring, planning, policy development, system development, finance, and underwriting.
Prerequisite: MHA-656
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MHA 686 - Community Health
Credits: 3
This course provides an overview of the concepts and methods of community health assessment and improvement in the USA today. This course will examine political, social, environmental and economic factorsas well as access to care– that affect health outcomes across populations. Students will examine community health topics and their relation to community health improvement including: the nature of health and its determinants; the use of quantitative and qualitative methods; community mobilization and capacity building; the organization and structure of community health agencies and their myriad roles; the evidence-base for community health improvement interventions and the impact of current national policy, including the Affordable Care Act .
Prerequisite: MHA-656
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MHA 690 - Leadership And Professionalism In Healthcare
Credits: 3
This class will address fundamental leadership principles through the introduction of leadership styles, techniques, theory and models and prepare students to practice ethical leadership in a healthcare setting. Students will examine identifying, monitoring and maintaining codes of professional conduct and procedures to ensure needs of staff are met. Students will also focus on understanding the implications of ethical, financial and operational decisions, providing procedures to monitor the standards of behavior and accountability procedures.
Prerequisite: Completion of 30 credits of MHA courses
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MHA 691 - Strategic Healthcare Management Capstone
Credits: 3
As the culminating course in the MHA program, students will review the business and leadership fundamentals of healthcare administration plus further examination of the compelling issues defining the industry today and in the future. Through integration and application of prior course work, students will to develop a strategic plan for a health services organization.
Prerequisite: Students must complete 33 credit hours (including the concentration courses) prior to taking this course.
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MIL 101 - Intro to Leadership I
Credits: 1-6
Military Science credits earned in partnership with Washington University’s ROTC Program.
Examine the challenges and competencies that are critical for effective leadership. You will learn how the personal development of life skills such as cultural understanding, goal setting, time management, mental/physical resiliency, and stress management relate to leadership, officership, and the Army profession. MSL-101 is open to all students and enrollment does not require a commitment to join the US Army.
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MIL 102 - Intro to Leadership II
Credits: 2
Military Science credits earned in partnership with Washington University’s ROTC Program.
Investigate leadership fundamentals such as problem-solving, listening, presenting briefs, providing feedback, and using effective writing skills. You will explore dimensions of leadership attributes and core leader competencies in the context of practical, hands-on, and interactive exercises. Learn fundamental military concepts and explore the Army’s leadership philosophy. MSL-102 is open to all students and enrollment does not require a commitment to join the US Army.
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MIL 201 - Innovative Team Leadership
Credits: 3
Military Science credits earned in partnership with Washington University’s ROTC Program.
Explore the dimensions of creative and innovative tactical leadership strategies and styles by examining team dynamics and leadership theories. The course continues to build on developing knowledge of leadership attributes and core leader competencies through the understanding of Army rank, structure, and duties as well as broadening knowledge of land navigation and squad tactics. Enrollment in MSL-201 does not require a commitment to join the US Army.
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MIL 202 - Foundations of Tactical Leadership
Credits: 3
Military Science credits earned in partnership with Washington University’s ROTC Program.
Develop greater self-awareness as you assess your own leadership styles and practice communication and team building skills. Examine and practice the challenges of leading teams in the complex operational environment. Study dimensions of terrain analysis, patrolling, and operation orders. Explores the dynamics of adaptive leadership in the context of military operations. Enrollment in MSL-202 does not require a commitment to join the US Army.
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MIL 301 - Adaptive Team Leadership
Credits: 3
Military Science credits earned in partnership with Washington University’s ROTC Program.
This is an academically challenging course where you will study, practice, and apply the fundamentals of Army leadership, officership, Army values and ethics, and small unit tactics. At the conclusion of this course you will be capable of planning, coordinating, navigating, motivating and leading a team or squad in the execution of a tactical mission during a classroom practical exercise (PE), a leadership lab, or during a military situational training exercise (STX) in a field environment.
Prerequisite: MIL-101 through MIL-202; OR attendance at the Leader’s Training Course (LTC)
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MIL 302 - Applied Team Leadership
Credits: 3
Military Science credits earned in partnership with Washington University’s ROTC Program.
Continue to learn and apply the fundamentals of Army leadership, officership, Army values and ethics as you hone your leadership abilities in a variety of tactical environments and the classroom. Successful completion of this course will help prepare you for success at the ROTC Leader Development and Assessment Course (LDAC) which you will attend the summer following this course at Fort Lewis, WA. You will receive systematic and specific feedback on your leadership attributes, values and core leader competencies from your instructors, other ROTC cadre, and senior cadets.
Prerequisite: MIL-301
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MIL 401 - Adaptive Leadership
Credits: 3
Military Science credits earned in partnership with Washington University’s ROTC Program.
This course focuses on practical application of adaptive leadership. Throughout the semester, students will apply the fundamentals of principles of training, the Army writing style and military decision making. Students will study the special trust reposed to Army Officers by the US Constitution and the President of the United States–a special trust given to no other civilian professions. Students will also study the Army officer’s role in the Uniform Code of Military Justice, and the counseling and development of subordinates.
Prerequisite: Successful completion of the ROTC Leadership Development and Assessment Course (LDAC) or permission of the instructor
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MKT 360 - Principles of Marketing
Credits: 3
An introduction to the concepts of marketing and their application to those engaged in marketing consumer and industrial goods and services; pricing, product planning, distribution and promotion.
Prerequisite: ENGL-104 OR ENGL-204H, ISYS-100, or ADGD-265
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MKT 361 - Consumer Behavior
Credits: 3
An understanding of the psychological processes, individual differences, and environmental influences that shape consumers’ purchasing decisions is fundamental to the development of marketing strategy and tactics. This course covers the knowledge, concepts and applications of consumer behavior modeling for the purposes of developing effective communication, positioning, pricing, product development, social media, and location decisions needed for an effective marketing strategy in a competitive environment.
Prerequisite: MKT-360
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MKT 364 - Professional Selling
Credits: 3
This course explores the numerous dimensions of selling - as a profession and as an integral part of the global free enterprise system. This course focuses on the history and the role of influence in professional selling. Students will analyze and research persuasive communication and negotiation skills while also applying sound selling principles such as attention, interest, desire, points of proof, and closing technique. This course will also cover procurement and contract understanding. Students will use text materials to enhance learning experiences while also practicing and delivering sales presentations to enhance educational principles.
Cross-listed: SALS-364
Prerequisite: MKT-360
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MKT 365 - Marketing and Digital Media
Credits: 3
Data-driven digital media strategies provide crucial information for modern brands to make marketing decisions supported by new technologies. Students will learn how to measure the effectiveness of digital media strategies including online listening and monitoring, website traffic analytics, search engine optimization, search and display ads, affiliates, email marketing, and social media. Students will develop, evaluate, and execute a comprehensive strategy-driven digital marketing plan and justify the effectiveness of the marketing plan as indicated by return on marketing investment (ROMI) data. This course is a pre-requisite for MKT-491 Marketing Analytics.
Prerequisite: MKT-360 (or ADGD-265 for Digital Media majors only)
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MKT 370 - Marketing the St Louis Region
Credits: 3
This course leaves the classroom to discover the great region of St. Louis by visiting civic leaders in their offices and learning from them first hand about marketing St. Louis to tourists, business and conventions.
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MKT 373 - Interactive Marketing
Credits: 3
Interactive marketing uses database marketing technology to manage customer acquisition and relationships on a one-to-one basis.The devising of integrated marketing plans that use sales calls, web-based technology, social media, telemarketing, and direct mail to find, recruit, and support customers. This course provides knowledge and skills in the use of database marketing, direct mail copy and graphics design, segmentation, mailing list construction and acquisition, and web-based marketing strategies.
Prerequisite: MKT-360
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MKT 375 - Services Marketing
Credits: 3
Services dominate the world economy and technology evolves in dramatic ways. This course responds to the demand for new strategies and tactics. This course develops the all-important skills in marketing and managing services.
Prerequisite: MKT-360
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MKT 393 - Cooperative Education
Credits: 1-4
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MKT 461 - Social Media Marketing
Credits: 3
Marketers use a wide range of proprietary social media - Facebook, YouTube, Twitter, LinkedIn, Pinterest, Digg, etc . - to communicate with customers and prospects. This course explores both paid and unpaid methods of communication to identify prospects, build brand image, and find new customers.
Prerequisite: MKT-360
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