| |
| |
-
ISYS 675 - Mobile Device Hacking and Forensics
Credits: Three (3)
Prerequisite: ISYS-600
This course will familiarize students with mobile devices and technology used by industry. Students will identify and analyze data that can be retrieved from mobile devices, such as cell phones, tablets, smart phones and GPS devices.
|
| |
-
ISYS 680 - Security Log Management and Analysis
Credits: Three (3)
Prerequisite: ISYS-600
This course allows students to interact with security information and event management tools (SIEM) to analyze data and construct queries that allow for data analysis and event triage.
|
| |
-
ISYS 681 - Designing and Implementing Cloud Security
Credits: Three (3)
Prerequisite: ISYS-600
This course covers security issues as they apply to cloud technology and network-based computing systems such as clusters, datacenters, peer to peer, social networking and the Internet of things.
|
| |
-
ISYS 684 - Forensic Examination And Analysis
Credits: Three (3)
Prerequisite: ISYS-600
This course provides students with an overview of digital forensics and analysis to include acquiring, authenticating and analyzing digital evidence. Technical and managerial topics will be explored, providing students with both theoretical and practical hands-on experience using forensic equipment and software.
|
| |
-
ISYS 685 - Incident Handling and Breaches
Credits: Three (3)
Prerequisite: ISYS-600
This course examines the industry standard Computer Emergency Response Team (CERT) processes, including incident response, vulnerability assessment, incident investigation and malicious code analysis.
|
| |
-
ISYS 690 - Cyber Fusion Center
Credits: Three (3)
Prerequisite: ISYS-670, ISYS-671
In this course, you will be a senior member of a team that provides real-world cyber security services to local non-profits and schools. You will work as a consultant, helping clients of the CFC improve their cyber security defenses, with an emphasis on performing vulnerability scans and penetration tests and delivering professional results. Students at the graduate level will be expected to take a leadership role in managing client engagements and drafting deliverables.
Cross-listed: ISYS-490
|
| |
-
ISYS 691 - Legal Issues of Privacy and Compliance
Credits: Three (3)
Prerequisite: ISYS-600
This course explores fundamental questions the digital age raises regarding how existing legal rules/guidelines should be applied to new technologies. This course explores various legal issues that arise in cyberspace, including jurisdiction, regulation of online speech, issues of privacy and security, and intellectual property protection.
|
| |
-
ISYS 696 - Independent Study
Credits: One (1) to Three (3)
|
| |
-
ISYS 697 - Special Studies
Credits: One (1) to Four (4)
|
| |
-
ISYS 699 - Internship
Credits: One Half (0.5)
|
| |
-
LAT 101 - Elementary Latin I
Credits: Three (3)
This course introduces structures of Latin with emphasis on grammar and reading of basic Latin texts.
|
| |
-
LAT 102 - Elementary Latin II
Credits: Three (3)
Prerequisite: LAT-101; Minimum grade C-
This course is a concentrated study of Latin grammar for the purpose of acquiring a reading knowledge of Latin.
|
| |
-
LAT 497 - Special Studies
Credits: One (1) to Four (4)
These courses are offered periodically based on the interests of our students and faculty. For more information and a listing of current offerings, please see additional descriptions at www.maryville.edu/specialstudies.
|
| |
-
LEGL 215 - Law, Ethics and Testimony
Credits: Three (3)
This course introduces students to the American legal system, ethics in both the legal and forensic science fields, and courtroom testimony. The course will survey the organization of the federal and state court systems, procedural and substantive criminal law, some aspects of civil law, and how to find the law. The course will also survey the ethical rules promulgated for the practice of law and their application to those working in the forensic science field together with some of the ethical codes within the forensic science field itself. The course will include a survey of forensic science professionals’ courtroom testimony, as well as eyewitness statements and testimony.
|
| |
-
LEGL 460 - Environmental Law And Policy
Credits: Three (3)
A survey of local, state and federal laws regulating air, water and
pesticide pollution, and hazardous materials; an examination of the
laws related to the development of environmental standards and
environmental impact statements; a discussion of local, state and
federal policies for protecting natural resources.
Cross-listed: ENV-460
|
| |
-
LEGL 470 - Juvenile Legal Experience
Credits: Four (4)
Prerequisite: Junior or Senior status and Selection by interview with faculty
Students will be trained to work with attorneys in the role of Guardian Ad Litem. The class will be assigned real cases from the court. They will work under the direct supervision of an attorney.
Note: This course requires a flexible schedule.
|
| |
-
LIBR 197 - Special Studies
Credits: One (1)
This course introduces students to the skills needed to use the
Maryville University Library effectively for course research. It
includes instruction on using the catalog, MOBIUS, periodical
databases, and the Internet. Evaluation of the quality and
appropriateness of sources for academic coursework is also
included.
|
| |
-
MATH 100 - Elementary Algebra
Credits: Three (3)
The course is for students who need to refresh basic mathematical skills and elementary algebraic concepts including signed numbers, algebraic laws and operations, linear equations and inequalities and the graphs, exponents, operations of polynomials, factoring, scientific notation, and quadratic equations.
Note: This course does not satisfy the General Education requirement.
|
| |
-
MATH 102 - Everyday Data
Credits: Three (3)
We live in a world that is driven by data. People read data, share and analyze data, run businesses and companies using data, and make major decisions based on data. This course gives a foundation to the world of data science and R Commander. There will be no computer science background or mathematics skills assumed from students. The sections under study include data collection, data organization, data description, data presentation using R Commander and statistical analysis using R Commander. The course is designed in such a way that students will gain an understanding on data and statistical analysis using R Commander to make and obtain valuable insights.
|
| |
-
MATH 115 - Contemporary Mathematics
Credits: Three (3)
Prerequisite: MATH-100
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, linear programming, graph theory, geometry, consumer mathematics, and number systems.
|
| |
-
MATH 116 - Intermediate Algebra
Credits: Three (3)
Prerequisite: MATH-100
This course assumes that the student is familiar with elementary algebra. Topics include rational expressions and their operations; complex fractions, applications of rational expressions; systems of linear equations and word problems; compound inequalities in one and two variables; absolute value equations and inequalities; operations of radicals and rational exponents; quadratic equations and applications; functions and graphs.
|
| |
-
MATH 117 - College Algebra
Credits: Three (3)
Prerequisite: MATH-116
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.
|
| |
-
MATH 125 - College Algebra and Trigonometry
Credits: Three (3)
Prerequisite: MATH-116
This course meets the math needs of students who major in science, physical therapy, pre-engineering and mathematics. This fast-paced course, in addition to presenting all the features of college algebra, develops the 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.
|
| |
-
MATH 135 - Mathematics for Scientists
Credits: Three (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.
|
| |
-
MATH 141 - Elementary Statistics
Credits: Three (3)
Prerequisite: MATH-117
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 and 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.
|
| |
-
MATH 151 - Calculus I
Credits: Four (4)
Prerequisite: MATH-125
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.
|
| |
-
MATH 152 - Calculus II
Credits: Four (4)
Prerequisite: MATH-151
This course should be taken in sequence with MATH 151. Topics include advanced 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.
|
| |
-
MATH 207 - Algebra for Educators
Credits: Three (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.
|
| |
-
MATH 208 - Geometry and Statistics for Educators
Credits: Three (3)
Prerequisite: MATH-100
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.
|
| |
-
MATH 220 - Finite Mathematics
Credits: Three (3)
Prerequisite: MATH-125
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.
|
| |
-
MATH 239 - Fund Secondary Teaching
Credits: Three (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.
|
| |
-
MATH 245 - Analytics of Baseball
Credits: Three (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.
|
| |
-
MATH 251 - Calculus III
Credits: Four (4)
Prerequisite: MATH-152
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.
|
| |
-
MATH 297 - Special Studies
Credits: One (1) to Four (4)
|
| |
-
MATH 300 - Foundations of Mathematics
Credits: Three (3)
Prerequisite: MATH-151
This course introduces the basic mathematical theory and proofs of the fundamental theorems and formulas in calculus applications. 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; mathematical inductions; properties of real numbers; theory of functions; set theory; basic study of calculus theory; further discussions of power series and Taylor’s theorem.
|
| |
-
MATH 311 - Discrete Mathematics
Credits: Three (3)
Prerequisite: MATH-117
This course is the logic foundation of mathematics, data science, computer science, (computer) software engineering, electrical engineering, business and economics applications. This course is suitable for those who intend to use computer technology, advanced programming languages, and advanced database knowledge in applications such as data science, business, economics, and variety of science research. This course covers mostly formal logic, algorithms, relational databases, graphs and trees, and mathematical modeling, computations, and other related topics.
|
| |
-
MATH 312 - Number Theory with Applications
Credits: Three (3)
Prerequisite: MATH-125
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.
|
| |
-
MATH 316 - Applied Linear Algebra
Credits: Three (3)
Prerequisite: MATH-117
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.
|
| |
-
MATH 320 - Applied Differential Equations
Credits: Three (3)
Prerequisite: MATH-251
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.
|
| |
-
MATH 330 - Euclidean and Non-Euclidean Geometry
Credits: Three (3)
Prerequisite: MATH-125
This course covers more advanced mathematics in the area of Euclidean and non-Euclidean geometries. Topics include neutral geometry, Euclidean plane geometry, non-Euclidean geometry, and projective geometry.
|
| |
-
MATH 351 - Advanced Calculus
Credits: Three (3)
Prerequisite: MATH 251
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.
|
| |
-
MATH 370 - Probability I
Credits: Three (3)
Prerequisite: MATH-151 or AP Calculus
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). MATH 370 and MATH 371 (along with Calculus) cover all of the learning objectives contained in Examination P (Probability) of the Society of Actuaries.
|
| |
-
MATH 371 - Probability II
Credits: Three (3)
Prerequisite: MATH-370
This course should be taken in sequence with MATH 370. Topics include continuous distributions and their applications; uniform distribution, exponential distribution, Gamma distribution, normal distribution and others; central limit theorem; order statistics; mixed distributions; multivariate distributions; marginal distributions; conditional distributions; joint moment generating functions; double expectation theorems. MATH 370 and MATH 371 (along with Calculus) cover all of the learning objectives contained in Examination P (Probability) of the Society of Actuaries.
|
| |
-
MATH 372 - Mathematical Statistics
Credits: Three (3)
Prerequisite: MATH-371
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.
|
| |
-
MATH 397 - Special Studies
Credits: Three (3)
|
| |
-
MATH 405 - Statistical Modeling I
Credits: Three (3)
Prerequisite: MATH 371
This course focuses on model development, interpretation, understanding assumptions and evaluation of competing models. Topics include simple and multiple linear regressions, hypothesis testing, confidence intervals in linear regression models, testing of models, data analysis and appropriateness of models, linear time series models, moving average, autoregressive and ARIMA models, estimation, data analysis and forecasting with time series models, forecast errors and confidence intervals. This course is intended to cover a majority of the learning objectives for Society of Actuaries (SOA) examination SRM (Statistics for Risk Modeling).
|
| |
-
MATH 406 - Statistical Modeling II
Credits: Three (3)
Prerequisite: MATH-371
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.
|
| |
-
MATH 420 - Statistics for Science Research
Credits: Three (3)
Prerequisite: MATH-141
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: MATH-520
|
| |
-
MATH 450 - Matrix Applications
Credits: Three (3)
Prerequisite: MATH-316
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.
|
| |
-
MATH 460 - Optimazation
Credits: Three (3)
Prerequisite: MATH-316
Optimization is an essential and important technique for solving problems in many disciplines. Topics covered will be linear programming, infeasible linear programming, unbounded linear programming, pivoting and tableaus, integer programming, solving optimization problems on graphs, shortest path problem, minimum cost perfect matching, understanding the formulation of nonlinear programming, traveling salesmen problem. Modern, real-world examples motivate the theory throughout the course. Students will use MATLAB and work on projects to better understand concepts learned.
|
| |
-
MATH 497 - Special Studies
Credits: One (1) to Four (4)
|
| |
-
MATH 498 - Seminar
Credits: Three (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.
|
| |
-
MATH 505 - Statistical Modeling I
Credits: Three (3)
This course focuses on model development, interpretation, understanding assumptions and evaluation of competing models. Topics include simple and multiple linear regressions, hypothesis testing, confidence intervals in linear regression models, testing of models, data analysis and appropriateness of models, linear time series models, moving average, autoregressive and ARIMA models, estimation, data analysis and forecasting with time series models, forecast errors and confidence intervals. This course is intended to cover a majority of the learning objectives for Society of Actuaries (SOA) examination SRM (Statistics for Risk Modeling).
Note: This course is for graduate students only.
|
| |
-
MATH 506 - Statistical Modeling II
Credits: Three (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.
Note: This course is for graduate students only
|
| |
-
MATH 520 - Statistics for Science Research
Credits: Three (3)
Prerequisite: MATH-141
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.
Note: This course is for graduate students only.
Cross-listed: MATH-420
|
| |
-
MATH 570 - Probability I
Credits: Three (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). MATH 370 and MATH 371 (along with Calculus) cover all of the learning objectives contained in Examination P (Probability) of the Society of Actuaries.
Note: This course is for graduate students only.
Cross-listed: MATH-370
|
| |
-
MATH 571 - Probability II
Credits: Three (3)
This course should be taken in sequence with MATH 370. Topics include continuous distributions and their applications; uniform distribution, exponential distribution, Gamma distribution, normal distribution and others; central limit theorem; order statistics; mixed distributions; multivariate distributions; marginal distributions; conditional distributions; joint moment generating functions; double expectation theorems. MATH 370 and MATH 371 (along with Calculus) cover all of the learning objectives contained in Examination P (Probability) of the Society of Actuaries.
Note: This course is for graduate students only.
Cross-listed: MATH-371
|
| |
-
MATH 572 - Mathematical Statistics
Credits: Three (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.
Note: This course is for graduate students only.
Cross-listed: MATH-372
|
| |
-
MGMT 321 - Principles of Management
Credits: Three (3)
Prerequisite: BUS-150 or ISYS-100
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.
|
| |
-
MGMT 330 - Human Resource Management
Credits: Three (3)
Prerequisite: MGMT-321 with a minimum grade of C-
This course provides an overview of the policies and procedures on personnel administration including the role of human resource professionals in organizations. It focuses on such topics as equal employment, job design, recruitment, selection, training, performance management, retention, termination and compensation.
|
| |
-
MGMT 386 - Negotiations
Credits: Three (3)
Prerequisite: MGMT-321 with a minimum grade of C-
Course studies negotiation as a basic, generic human activity; a process used in labor-management relations, in business mergers and sales, in international affairs and in everyday activities.
|
| |
-
MGMT 388 - Training and Development
Credits: Three (3)
Prerequisite: MGMT-321 with a minimum grade of C-
This course is designed to help managers and trainers to develop a systematic approach to training and development in organizations. It will address training needs, instructional objectives, learning styles, adult learners, training design and delivery, and evaluation of workshops. The process of active training or learning by doing is emphasized.
|
| |
-
MGMT 470 - Interpersonal Management Skills
Credits: Three (3)
Prerequisite: MGMT-321 with a minimum grade of C-
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. The ability to understand and cope effectively with today’s work and/or life issues and problems is a an important skill to master. Trends such as globalization, increasing workforce diversity, teamwork, and flat organizational structures require a greater understanding of human relations.
|
| |
-
MGMT 472 - Business Organizational Behavior
Credits: Three (3)
Prerequisite: MGMT-321 with a minimum grade of C-
This course studies the behavior of people in work situations; includes major theories and concepts pertaining to organizational behavior, and applying these theories and concepts to organizational problems.
|
| |
-
MGMT 473 - Global Human Resources Management
Credits: Three (3)
Prerequisite: MGMT-321 with a minimum grade of C-
The focus of this course is to develop students’ global mindset to prepare them to effectively manage human capital and to lead global teams in an increasingly interconnected business environment. The course also examines differences between countries to equip students with global cultural competency critical for successful international business relationships.
|
| |
-
MGMT 487 - Leadership
Credits: Three (3)
Prerequisite: MGMT-321 with a minimum grade of C-
This course studies the relationship of strategic leadership and decision making to organizational effectiveness.
|
| |
-
MGMT 493 - Cooperative Education
Credits: One (1) to Three (3)
|
| |
-
MGMT 496 - Independent Study
Credits: One (1) to Four (4)
|
| |
-
MGMT 497 - Special Topics
Credits: One (1) to Three (3)
|
| |
-
MGMT 499 - Internship
Credits: One (1) to Three (3)
|
| |
-
MGMT 597 - Special Studies
Credits: One (1) to Four (4)
|
| |
-
MGMT 631 - Entrepreneurship
Credits: Three (3)
Prerequisite: MGMT-647
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.
|
| |
-
MGMT 640 - Human Resource Management
Credits: Three (3)
Prerequisite: MGMT-647
This course is the study of human resource management (HRM) related to managing equal opportunity and diversity, personnel planning, recruiting and talent management, testing and selecting employees, training and development, performance management, compensation, ethics, retention, labor relations, collective bargaining, and safety.
|
| |
-
MGMT 647 - Organizational Behavior and Development
Credits: Three (3)
Course topics include the history of management, perception and
communication, motivation theory, leadership and power, group
dynamics, conflict management and work design theory.
|
| |
-
MGMT 650 - Workforce Management
Credits: Three (3)
Prerequisite: MGMT-647
This course develops students’ understanding of recruitment and selection strategies, hiring aligned with organization-specific competencies, and training and recruitment methods. Students will learn to measure the costs of hiring and training, and turnover rate, all of which are central for an organization’s strategic plan.
|
| |
-
MGMT 655 - Employment Law and Compliance
Credits: Three (3)
Prerequisite: MGMT-647
This course focuses on the study of employment law regulations and how to plan and reduce legal exposure in the area of human resources. Employment laws are extensive and vary based on many factors, including the size of an organization, its location and the type of industry in which the business operates. The laws that apply to the majority of employers are discussed.
|
| |
-
MGMT 660 - Compensation and Benefits
Credits: Three (3)
Prerequisite: MGMT-647
This course examines the total compensation package with a special emphasis on employee benefits - both legally required such as workers’ compensation insurance and optional benefits such as retirement plans. The course provides students the guidelines for establishing job and pay structures while taking into account legal requirements. Other topics include compensable and economic factors influencing pay decisions, incentive pay plans, executive compensation, and compa-ratio calculation.
|
| |
-
MGMT 670 - Interpersonal Management Skills
Credits: Three (3)
Prerequisite: MGMT-647
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.
|
| |
-
MGMT 687 - Leadership
Credits: Three (3)
Prerequisite: MGMT-647
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.
|
| |
-
MGMT 691 - Management Policies (Capstone)
Credits: Three (3)
Prerequisite: BUS-643, MGMT-647, MGMT-670, ISYS-650, BUS-640, MGMT-687, MGMT-640, and ACCT-610
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.
|
| |
-
MGMT 697 - Special Studies
Credits: Three (3)
|
| |
-
MHA 502 - Statistics
Credits: Zero (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.
|
| |
-
MHA 610 - Healthcare Industry and its Impact on Healthcare Management
Credits: Three (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.
|
| |
-
MHA 615 - Healthcare Operations
Credits: Three (3)
Prerequisite: MHA 610
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.
|
| |
-
MHA 630 - Healthcare Human Resources & Organizational Behavior
Credits: Three (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, priviledging, and discinplinary processes). Students will also examine topics in human resources including recruiting, hiring, compensation, incentives, and performance-based evaluations.
|
| |
-
MHA 631 - Healthcare Quality and Performance Improvement
Credits: Three (3)
Prerequisite: MHA 615
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.
|
| |
-
MHA 651 - Healthcare Law, Ethics and Risk Management
Credits: Three (3)
Prerequisite: MHA 615
Students will examine legal and regulatory compliance strategies from the business perspective of health administration. Course concepts include: licensing, certification, and accreditation requirements of health care professionals; healthcare-related criminal law and torts, consent, legal reporting, and professional liability, as well as federal and state statutes and regulations and specific mandates. Business considerations related to privacy and security standards related to HIPAA, requirements and implementing management software, will be discussed . Students will also examine basic ethical frameworks and understand how these constructs can assist health management professionals dealing with current medical ethics and related business ethics issues.
|
| |
-
MHA 655 - Healthcare Financial Management
Credits: Three (3)
Prerequisite: MHA 615
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.
|
| |
-
MHA 656 - Population Health Management
Credits: Three (3)
Prerequisite: MHA 615
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.
|
| |
-
MHA 660 - Healthcare Technology & Information Systems
Credits: Three (3)
Prerequisite: MHA 615
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.
|
| |
-
MHA 670 - Healthcare Marketing
Credits: Three (3)
Prerequisite: MHA 656
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.
|
| |
-
MHA 671 - Health Policy And Economics
Credits: Three (3)
Prerequisite: MHA 656
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.
|
| |
-
MHA 675 - Healthcare Analytics
Credits: Three (3)
Prerequisite: MHA 660 & 656
Big data is driving changes in healthcare industry. In this course, students will look at the types of available healthcare data, as well as different types of analytic tools to help make 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.
|
| |
-
MHA 676 - Healthcare Informatics
Credits: Three (3)
Prerequisite: MHA 660
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.
|
| |
-
MHA 680 - Introduction To Gerontology
Credits: Three (3)
Prerequisite: MHA 615 & 656
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.
|
| |
-
MHA 681 - Assisted Living / Senior Services Management
Credits: Three (3)
Prerequisite: MHA 615
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.
|
| |
-
MHA 685 - Managerial Epidemiology
Credits: Three (3)
Prerequisite: MHA 656
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.
|
| |
-
MHA 686 - Community Health
Credits: Three (3)
Prerequisite: MHA 656
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 factors—as 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 .
|
| |
-
MHA 690 - Leadership And Professionalism In Healthcare
Credits: Three (3)
Prerequisite: This class must be taken following completion of 30 Credit Hours
This class will 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 decisions, providing procedures to monitor the standards of behavior and accountability procedures.
|
| |
-
MHA 691 - Strategic Healthcare Management Capstone
Credits: Three (3)
Prerequisite: MHA 690
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.
|
| |
Page: 1 <- Back 10 … 7
| 8
| 9
| 10
| 11
| 12
| 13
| 14
| 15
| 16
| 17
-> 19 |
Print this Page