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ISYS 660 - Data Analytics 1
Credits: Three (3)
This course serves as an introduction to data analytics. Data analytics is generally defined as the use of data, quantitative analysis, and modeling to drive business decisions. An overview of different analytics techniques (descriptive, predictive and prescriptive) with a focus on descriptive analytics technique to illustrate business decision-making situations is discussed.
Cross-listed: ACCT-660, BDAT-600
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ISYS 670 - Ethical Hacking
Credits: Three (3)
This hands-on course applies a penetration testing framework to ethical hacking. Emphasis is placed on penetrating testing methodologies for various types of penetration tests, including Reconnaissance, Social Engineering, and Network Penetration Testing. This course in conjunction with ISYS 671 prepares you for the EC-Council CEH exam.
Prerequisite: ISYS-600
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ISYS 671 - Ethical Hacking II
Credits: Three (3)
This hands-on course builds on ethical hacking and penetration techniques learned in ISYS-670. With emphasis on SQL injection, Wireless, Mobile, Web server and Web Application hacking. This course and prereq ISYS 670 will prepare you for the Certified Ethical Hacker CEH exam.
Prerequisite: ISYS-670
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ISYS 672 - Auditing of Cybersecurity
Credits: Three (3)
This course will cover the principles of cybersecurity auditing which include a recommended set of examination methodologies to provide specific methods and practices to audit a virtual enterprise. Discussion will focus on how organizations and individuals can use these practices to define responsible auditing practices for proper cyber defense, evaluation and response that are inherent in today’s ever changing technology landscape. This course will provide the student with skills necessary to take the CISA Industry Certification Examination.
Prerequisite: ISYS 600, ISYS 670, and one of the following: ISYS 684 or 685 or 686
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ISYS 673 - Data Security and Analysis
Credits: Three (3)
This course will cover data security and analysis. Focusing on the tools, process and analysis practices that can be used to monitor and protect the enterprise. Discussion will focus on how organizations and individuals can leverage analysis practices to develop and implement responsible actions for proper defense directing their resources effectively to mitigate potential cyber risk.
Prerequisite: ISYS 600, ISYS 670, and one of the following: ISYS 684 or 685 or 686
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ISYS 674 - Network Security
Credits: Three (3)
This course is intended as an overview of network security principles. The material covered will include various models of encryption - symmetric and asymmetric, pseudo-randomness, digital signatures, and network security.
Prerequisite: ISYS-600
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ISYS 675 - Mobile Device Hacking and Forensics
Credits: Three (3)
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.
Prerequisite: ISYS-600
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ISYS 676 - Risk Metrics and Analysis
Credits: Three (3)
This course will cover cybersecurity risk metrics and analysis. Focusing on the tools, process and analysis practices that can be used to monitor and protect the enterprise. Discussion will focus on how organizations and individuals can leverage risk metrics to develop and implement responsible actions for proper defense directing their resources effectively to mitigate potential cyber risk.
Prerequisite: ISYS 600, ISYS 670, and one of the following: ISYS 684 or 685 or 686
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ISYS 677 - Cybersecurity Governance
Credits: Three (3)
This course will cover the facets of cybersecurity governance. Emphasis on developing and implementing effective policies for mitigating cybersecurity risk. Discussion will focus on how organizations and individuals can responsibly implement responsible governance policies to effectively manage information security risk. The course also covers many compliance programs under cybersecurity and privacy mandates such as GLBA, HIPAA, FISMA, and PCI-DSS.
Prerequisite: ISYS 600, ISYS 670, and one of the following: ISYS 684 or 685 or 686
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ISYS 680 - Security Log Management and Analysis
Credits: Three (3)
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.
Prerequisite: ISYS-600
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ISYS 681 - Cloud Migration and Security
Credits: Three (3)
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.
Prerequisite: ISYS-600
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ISYS 684 - Forensic Examination And Analysis
Credits: Three (3)
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.
Prerequisite: ISYS-600
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ISYS 685 - Incident Handling and Breaches
Credits: Three (3)
This course examines the industry standard Computer Emergency Response Team (CERT) processes, including incident response, vulnerability assessment, incident investigation and malicious code analysis.
Prerequisite: ISYS-600
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ISYS 686 - Cybersecurity Incident Response and Examination
Credits: Three (3)
This course will cover the principles of cybersecurity incident response and forensics which include a recommended set of forensic principles to provide specific methods to identify and the management of security related events. Discussion will focus on how to leverage practices used by industry to identify and analyze forensic data received from devices and the responsible actions to manage a security incident. Students will learn proper cyber defense, evaluation and response methods that are inherent in today’s ever changing technology landscape.
Prerequisite: ISYS-600
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ISYS 687 - Management of Information Security
Credits: Three (3)
This course will cover the management of information security. Emphasis on managing security-related risk, as well as the process of developing, implementing, and maintaining organizational policies, standards, procedures, and guidelines. Discussion will focus on how organizations and individuals can responsibly identify and evaluate information assets, threats, and vulnerabilities to effectively manage information security risk.
Prerequisite: ISYS 600, ISYS 670, and one of the following: ISYS 684 or 685 or 686
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ISYS 690 - Security Operations Management
Credits: Three (3)
This course will cover cybersecurity operations management. Emphasis on developing and implementing responsible information security operations, access control, risk management, systems and application life cycle management, physical security, business continuity planning, telecommunications security, disaster recovery, software piracy, investigations, ethics and more. Discussion will focus on how organizations and individuals can responsibly implement responsible management practices to effectively manage information security risk.
Prerequisite: ISYS 600, ISYS 670, and one of the following: ISYS 684 or 685 or 686
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ISYS 691 - Legal Aspects of Privacy and Compliance
Credits: Three (3)
This course explores the laws and policies governments, organizations, and individuals leverage to protect the confidentiality, integrity, and availability of information and technology. This course explores various legal issues that arise in cyberspace, including contracting online, common and tort law, cybercrime, jurisdiction, security and privacy issues and practices, and intellectual property protection. It delves into industry-specific legal, privacy, and ethical considerations in the areas of healthcare, financial reporting, government information, and protecting children online. Lastly, the course provides students with tools for ethical-decision making in a security and privacy context.
Prerequisite: ISYS-600
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ISYS 692 - Information Security and Research
Credits: Three (3)
This course will allow a student to independently explore a cybersecurity topic of interest under the close supervision of a faculty member. The course may include directed readings, applied work, assisting a faculty member with a research project, carrying out an independent research project, or other activities deemed appropriate.
Prerequisite: ISYS 600, ISYS 670, and one of the following: ISYS 684 or 685 or 686
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ISYS 693 - Practical Applications of Cybersecurity – Partnerships
Credits: Three (3)
This course will focus on developing and completing a practical business cybersecurity project developed in collaboration with industry. This will allow the student to explore and develop a project of interest under the guidance of an industry partner. The course may include applied work, developing a research project, or other activities deemed appropriate to allow the student to develop practical business expertise in partnership with an industry sponsor.
Prerequisite: ISYS 600, ISYS 670, and one of the following: ISYS 684 or 685 or 686
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ISYS 694 - Domains of Cybersecurity
Credits: Three (3)
This course will cover the domains of cybersecurity which include a recommended set of methodologies to provide specific and actionable practices to protect the virtual enterprise. Discussion will focus on how organizations and individuals can identify and implement responsible steps to define methods for proper defense, directing their resources effectively and focusing attention on cyber risk issues that are unique to their business or mission. This course will provide the student with skills necessary to take the CISSP Industry Certification Examination.
Prerequisite: ISYS 600, ISYS 670, and one of the following: ISYS 684 or 685 or 686
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ISYS 695 - Emerging Topics in Cybersecurity
Credits: Three (3)
This course will cover emerging cybersecurity topics including current trends, landscapes, vulnerabilities and tools that can be used to monitor and protect the enterprise. Discussion will focus on how organizations and individuals can leverage the practices to define responsible methods for proper defense and direct their resources effectively to focus attention on cyber risk.
Prerequisite: ISYS 600, ISYS 670, and one of the following: ISYS 684 or 685 or 686
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ISYS 696 - Independent Study
Credits: One (1) to Three (3)
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ISYS 697 - Special Studies
Credits: One (1) to Four (4)
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ISYS 699 - Internship
Credits: One Half (0.5)
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LAT 101 - Elementary Latin I
Credits: Three (3)
This course introduces structures of Latin with emphasis on grammar and reading of basic Latin texts.
General Education Area: Foreign Language
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LAT 102 - Elementary Latin II
Credits: Three (3)
This course is a concentrated study of Latin grammar for the purpose of acquiring a reading knowledge of Latin.
General Education Area: Foreign Language
Prerequisite: LAT-101; Minimum grade C-
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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.
General Education Area: Foreign Language
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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.
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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.
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MATH 102 - Everyday Data
Credits: Three (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.
General Education Area: Quantitative Reasoning
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MATH 115 - Contemporary Mathematics
Credits: Three (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.
General Education Area: Quantitative Reasoning
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MATH 116 - Intermediate Algebra
Credits: Three (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.
General Education Area: Quantitative Reasoning
Prerequisite: MATH-100
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MATH 117 - College Algebra
Credits: Three (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.
General Education Area: Quantitative Reasoning
Prerequisite: MATH-116
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MATH 125 - College Algebra and Trigonometry
Credits: Three (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.
General Education Area: Quantitative Reasoning
Prerequisite: MATH-116
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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.
General Education Area: Quantitative Reasoning
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MATH 141 - Elementary Statistics
Credits: Three (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.
General Education Area: Quantitative Reasoning
Prerequisite: MATH-117
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MATH 151 - Calculus I
Credits: Four (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.
General Education Area: Quantitative Reasoning
Prerequisite: MATH-125
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MATH 152 - Calculus II
Credits: Four (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.
General Education Area: Quantitative Reasoning
Prerequisite: MATH-151
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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.
General Education Area: Quantitative Reasoning
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MATH 208 - Geometry and Statistics for Educators
Credits: Three (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.
General Education Area: Quantitative Reasoning
Prerequisite: MATH-100
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MATH 220 - Finite Mathematics
Credits: Three (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.
General Education Area: Quantitative Reasoning
Prerequisite: MATH-125
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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.
General Education Area: Quantitative Reasoning
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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.
General Education Area: Quantitative Reasoning
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MATH 251 - Calculus III
Credits: Four (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.
General Education Area: Quantitative Reasoning
Prerequisite: MATH-152
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MATH 297 - Special Studies
Credits: One (1) to Four (4)
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MATH 300 - Algebraic Structures and Proofs
Credits: Three (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.
General Education Area: Quantitative Reasoning
Prerequisite: MATH-151 or AP Calculus AB
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MATH 301 - Math Modeling- VBA
Credits: Three (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: Three (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.
General Education Area: Quantitative Reasoning
Prerequisite: MATH-117
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MATH 312 - Number Theory with Applications
Credits: Three (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.
General Education Area: Quantitative Reasoning
Prerequisite: MATH-125
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MATH 316 - Applied Linear Algebra
Credits: Three (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.
General Education Area: Quantitative Reasoning
Prerequisite: MATH-151
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MATH 320 - Applied Differential Equations
Credits: Three (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.
General Education Area: Quantitative Reasoning
Prerequisite: MATH-251
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MATH 330 - College Geometry
Credits: Three (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.
General Education Area: Quantitative Reasoning
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: Three (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.
General Education Area: Quantitative Reasoning
Prerequisite: MATH 251
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MATH 370 - 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). This course is calculus—based.
General Education Area: Quantitative Reasoning
Prerequisite: MATH-151
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MATH 372 - 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.
General Education Area: Quantitative Reasoning
Prerequisite: MATH-371
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MATH 397 - Special Studies
Credits: Three (3)
General Education Area: Quantitative Reasoning
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MATH 405 - Statistical Modeling I
Credits: Three (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).
General Education Area: Quantitative Reasoning
Cross-listed: MATH-505
Prerequisite: DSCI-302 and MATH-372
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MATH 406 - Statistical Modeling II
Credits: Three (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.
General Education Area: Quantitative Reasoning
Cross-listed: MATH-506
Prerequisite: MATH-372
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MATH 420 - Statistics for Science Research
Credits: Three (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.
General Education Area: Quantitative Reasoning
Cross-listed: MATH-520
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 properties of the real numbers, ideas of sets, functions, theory of limits, metric spaces, continuous functions, differentiation, Riemann integration, the method of successive approximations, partial differentiation, and multiple integrals. Topics in complex analysis will cover complex numbers, complex plane with particular emphasis on Cauchy’s Theorem and the calculus of residues.
Prerequisite: MATH-251
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MATH 450 - Matrix Applications
Credits: Three (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.
General Education Area: Quantitative Reasoning
Prerequisite: MATH-316
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MATH 460 - Optimization
Credits: Three (3)
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.
General Education Area: Quantitative Reasoning
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: One (1) to Four (4)
General Education Area: Quantitative Reasoning
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MATH 505 - Statistical Modeling I
Credits: Three (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.
Note: This course is for graduate students only.
Cross-listed: MATH-405
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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
Cross-listed: MATH-406
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MATH 520 - Statistics for Science Research
Credits: Three (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.
Note: This course is for graduate students only.
Cross-listed: MATH-420
Prerequisite: MATH-141
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MGMT 321 - Principles of Management
Credits: Three (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 or ISYS-100
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MGMT 388 - Training and Development
Credits: Three (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 develop and conduct an array of innovative and diverse programs in support of an organization’s commitment to employee development, partnerships, and organizational enrichment and 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: Three (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 - Business Organizational Behavior
Credits: Three (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. The enhancement of the effectiveness of an organization’s human resources is the primary focus of the course.
Prerequisite: MGMT-321
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MGMT 487 - Leadership
Credits: Three (3)
This course studies the relationship of strategic leadership and decision making to organizational effectiveness.
Prerequisite: MGMT-321 with a minimum grade of C-
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MGMT 493 - Cooperative Education
Credits: One (1) to Three (3)
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MGMT 496 - Independent Study
Credits: One (1) to Four (4)
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MGMT 497 - Special Topics
Credits: One (1) to Three (3)
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MGMT 499 - Internship
Credits: One (1) to Three (3)
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MGMT 597 - Special Studies
Credits: One (1) to Four (4)
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MGMT 631 - Entrepreneurship
Credits: Three (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 640 - Human Resource Management
Credits: Three (3)
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.
Prerequisite: MGMT-647
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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.
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MGMT 650 - Workforce Management
Credits: Three (3)
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.
Prerequisite: MGMT-647
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MGMT 655 - Employment Law and Compliance
Credits: Three (3)
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.
Prerequisite: MGMT-647
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MGMT 660 - Compensation and Benefits
Credits: Three (3)
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.
Prerequisite: MGMT-647
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MGMT 670 - Interpersonal Management Skills
Credits: Three (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: Three (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: Three (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: Three (3)
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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: 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.
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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.
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MHA 615 - Healthcare Operations
Credits: Three (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: 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, 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: Three (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: Three (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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