2016-2017 Academic Catalog 
    
    Nov 12, 2019  
2016-2017 Academic Catalog [Archived Catalog]

Courses


Undergraduate Prerequisites Course Numbering
A “C-” or higher is required in all prerequisite courses 100-299 - Lower division undergraduate
  300-499 - Upper division undergraduate
  500-699 - Graduate
Search Tip 700-799 - Doctoral
Use the asterisk (*) key as a wild card.
Example: Select “Prefix” NURS and enter 6* in the “Code or Number” field to return all Nursing courses at the 600 level.

 

 
  
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    ISYS 109 - Techtools: Exploring Agile


    Credits: One (1)
    Agile is a popular new methodology for project management often applied to software development that emphasizes flexibility to emerging requirements, frequent deliverables, and early testing. This one credit hour, on-line Tech Tools course is designed to introduce you to the technology, expose you to the on-line resources that support the technology and provide an opportunity for hands-on exercises to develop the basic skills to implement the technology.
  
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    ISYS 120 - Storyboarding Apps


    Credits: Three (3)
    Storyboarding is a visual way of developing an application’s user interface prior to undergoing any development activities.  This course serves as an introduction to the technique of storyboarding, including organizing a project’s content and arranging it in a visual format utilizing standard tools.

     

  
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    ISYS 220 - Application Development for iOS


    Credits: Three (3)
    Prerequisite: ISYS-120
    Students will become familiar with Objective C and the new SWIFT development language. Students will compile and debug sample applications that illustrate iPhone/iPad features and focus on User Interface Implementation.
  
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    ISYS 230 - Advanced Application Development for iOS


    Credits: Three (3)
    Prerequisite: ISYS-220
    Students will practice generating an interface and become more familiar with Objective C and SWIFT code, the graphical user interface builder, and overall XCode project integration. Students will also learn how to incorporate device specific features such as the accelerometer, touch screen, GEO positioning, sound, and web access.
  
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    ISYS 241 - Business Statistics


    Credits: Three (3)
    Prerequisite: ISYS-100 and MATH-116.
    This course develops business data analysis skills and statistical techniques using spreadsheets. Topics include data collection storage and analysis using descriptive statistics, tables and charts; probability and data distributions, statistical tests, correlation, regression, forecasting, and quality control analysis.


  
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    ISYS 250 - Business Processes and Information Systems


    Credits: Three (3)
    Prerequisite: ISYS-100
    This course covers analysis and documentation of business processes and the design and use of information systems to automate these processes on the desktop, web and mobile platforms.


    Note: This course is recommended for students considering a minor or major in Information Systems or as an elective course for those students who successfully completed the ISYS 100 competency exam.

  
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    ISYS 280 - Critical Security Controls


    Credits: Three (3)
    This course will allow students to implement and audit the Critical Security Controls as documented by the Council on Cyber Security. These Critical Security Controls are rapidly becoming accepted as the highest priority list of what must be done and proven at nearly all organizations.


  
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    ISYS 307 - Business Data and Databases


    Credits: Three (3)
    Prerequisite: ISYS-100
    This course covers the business data analysis using spreadsheets and databases. Topics include Excel tables and Pivot tables and the development, administration and management of relational databases. The course uses Microsoft SQLServer and/or MySQL as the primary database management systems with a focus on database design and interaction with other applications.
  
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    ISYS 320 - Application Development with Java


    Credits: Three (3)
    Prerequisite: ISYS-100
    The course provides an introduction to the use of the Java programming language and Eclipse development environment for application development, programming, testing, debugging and documentation common to business applications on the desktop, web, cloud and mobile platforms.


  
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    ISYS 325 - Operating Systems/Application Security


    Credits: Three (3)
    This course will expose students to Windows, Linux, and Unix operating systems. This also includes a review of popular applications on these platforms and scripting with PowerShell.


  
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    ISYS 390 - Advanced Web Site Design


    Credits: Three (3)
    Prerequisite: ISYS-100
    This course will help students develop websites that are functional and attractive. It will combine an artistic design approach with programming contents to enhance students’ abilities to design, create, develop and publish websites.

     

  
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    ISYS 470 - Ethical Hacking


    Credits: Three (3)
    Prerequisite: ISYS-250
    This course will involve assessing target networks and hosts for security vulnerabilities. Specific penetration testing and ethical hacking methodologies will be discussed and used on network devices, client machines, and mobile devices.


  
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    ISYS 471 - Advanced Ethical Hacking


    Credits: Three (3)
    Prerequisite: ISYS-470
    This course builds on ethical hacking and penetration testing techniques learned in ISYS-470. Specific attention is paid on examining web application security.


  
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    ISYS 474 - Network and Wireless Security


    Credits: Three (3)
    Prerequisite: ISYS-280
    This course will examine both network device security and wireless security issues. For wireless security, specific attention will be paid on WiFi and Bluetooth technologies.


  
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    ISYS 475 - Mobile Security


    Credits: Three (3)
    Prerequisite: ISYS-280
    This course is designed for students to secure their mobile devices by designing, deploying, operating and assessing a well-managed and safe mobile environment. You will learn how to capture and evaluate mobile device network activity, disassemble and analyze mobile code, recognize weaknesses in common mobile applications and conduct full-scale mobile penetration tests.


  
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    ISYS 480 - Security Information and Event Management


    Credits: Three (3)
    Prerequisite: ISYS-280
    This course will examine SIEM capabilities to facilitate the management of security-related events, by assessing log data and correlating information coming from various sources.


  
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    ISYS 481 - Virtualization and Cloud Security


    Credits: Three (3)
    Prerequisite: ISYS-280
    Virtualization technologies require planning with regard to access controls, user permissions and traditional security controls. Virtualized infrastructure is being located in the cloud which will dictate policies and processes that will need to be adapted to work within a cloud structure.


  
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    ISYS 484 - Digital Forensics


    Credits: Three (3)
    Prerequisite: ISYS-280
    This course will focus on digital forensic practices, tools, and exercises for the collection of electronic evidence on network, client, and mobile devices. Specific discussion will also include the introduction process of this electronic evidence in civil and criminal cases.
  
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    ISYS 485 - Incident Response and Malware Analysis


    Credits: Three (3)
    Prerequisite: ISYS-280
    This course explores malware analysis tools and techniques that target and infect Windows systems. Knowing the capabilities of malware is critical to an organization’s ability to derive threat intelligence, respond to information security incidents, and establish defenses.


  
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    ISYS 491 - Cyber Law, Policy, and Compliance


    Credits: Three (3)
    This course will discuss information security and policies in the private sector related to privacy, incident response, computer crime, intellectual property, and pending/recently decided cases.


  
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    ISYS 493 - Cooperative Education


    Credits: One (1) to Four (4)
  
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    ISYS 495 - Certification Bootcamp


    Credits: Three (3)
    Prerequisite: ISYS-280
    This course serves as a boot camp for information security certifications for the cybersecurity professional.


  
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    ISYS 496 - Independent Study


    Credits: One (1) to Four (4)
  
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    ISYS 497 - Special Studies


    Credits: One (1) to Three (3)
  
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    ISYS 499 - Internship


    Credits: One (1) to Four (4)
  
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    ISYS 600 - Controls for Effective Cyber Defense


    Credits: Three (3)
    This course will cover the Controls for Effective Cyber Defense which are a recommended set of actions that will provide specific and actionable ways to deter potential attacks. Discussion will focus on how organizations can use these controls to define the starting point for their defenses, direct their resources on actions with immediate payoff, and focus their attention on additional risk issues that are unique to their business or mission.


  
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    ISYS 605 - Database Principles


    Credits: Three (3)
    This course examines the design, development and management of relational databases and the integration of these databases with applications across the enterprise. Topics include database tools, basic Structured Query Language, design trade-offs, middleware, database server architectures, web-enabled technologies, security issues and emerging database technologies.
  
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    ISYS 620 - Agile Systems Analysis and Design


    Credits: Three (3)
    Previous system analysis and design methodologies are being replaced with iterative approaches such as agile. This approach leads to faster product deployment at a lower cost with less rework due to missed requirements. This course reviews the development of well written requirements, analysis and design in an agile environment, and enhances student critical thinking skills.


  
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    ISYS 631 - Web Page Design


    Credits: Three (3)
    This course will be primarily oriented toward E- commerce, examining ways to set up and manage an intranet, extranet or the use of the Internet. A variety of tools will be examined for the creation and publication of Web pages.
  
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    ISYS 650 - Information Technology Management


    Credits: Three (3)
    This course presents the concepts needed to effectively manage information technology resources. This course specifically focuses on the role a CIO plays, the planning, scheduling and risk considerations, along with the strategic role that information technology systems play in an organization.


  
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    ISYS 660 - Data Analytics


    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. Specific data mining techniques to illustrate business decision-making situations is discussed.


  
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    ISYS 670 - Pen Testing


    Credits: Three (3)
    Prerequisite: ISYS-600
    This course will involve assessing target networks and hosts for security vulnerabilities. Specific penetration testing and ethical hacking methodologies will be discussed and used on network devices, client machines, and mobile devices.

     

  
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    ISYS 671 - Advanced Pen Testing


    Credits: Three (3)
    Prerequisite: ISYS-670
    This course builds on ethical hacking and penetration testing techniques learned in ISYS-670. Specific attention is paid on examining web application security.


  
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    ISYS 674 - Cryptography and Network Security


    Credits: Three (3)
    Prerequisite: ISYS-600
    This course is intended as an overview of cryptography and network security principles. The material covered will include various models of encryption - symmetric and asymmetric, pseudo-randomness, digital signatures, and network applications to cryptography and security.


  
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    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.


  
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    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.


  
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    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.


  
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    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.


  
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    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.


  
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    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.


  
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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.
  
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    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.
  
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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.

  
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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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    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
  
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    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.
  
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    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.
  
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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, polynomials and factoring, exponents and radicals, scientific notation, and metric system.
    Note: This course does not satisfy the General Education requirement.
  
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    MATH 115 - Contemporary Mathematics


    Credits: Three (3)
    Prerequisite: MATH-100; Minimum grade C-
    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.
  
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    MATH 116 - Intermediate Algebra


    Credits: Three (3)
    Prerequisite: MATH-100; Minimum Grade C-
    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; system of equations and word problems.
  
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    MATH 117 - College Algebra


    Credits: Three (3)
    Prerequisite: MATH-116; Minimum Grade C-
    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; analytic geometry; systems of equations and inequalities; quadratic inequalities matrices; sequences and series.
  
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    MATH 120 - Informal Geometry


    Credits: Three (3)
    The course is for undergraduate students who plan a teaching career at the elementary or middle-school level. Topics include polygons and their properties, polyhedra, motions, translations, rotations, reflections, congruence, similarity, and measurement.
  
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    MATH 125 - College Algebra and Trigonometry


    Credits: Three (3)
    Prerequisite: MATH-116; Minimum Grade C-
    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 polynomials, equations and inequalities and coordinates; functions and their graphs; exponential and logarithmic functions; conic section; trigonometric functions; trigonometric identities and equations; applications of trigonometry.
  
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    MATH 141 - Elementary Statistics


    Credits: Three (3)
    Prerequisite: MATH-117; Minimum grade C-
    An introduction to the basic tools and elementary methods of statistics, the topics include descriptive statistics, basic probability and various types of distributions; and testing of hypotheses.
  
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    MATH 151 - Calculus I


    Credits: Four (4)
    Prerequisite: MATH-125; Minimum Grade C-
    Topics include concepts of limit and continuity, rate of change of a function, derivatives and their applications, integration and applications of the definite integral.
    Cross-listed: ACSC-151
  
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    MATH 152 - Calculus II


    Credits: Four (4)
    Prerequisite: MATH-151; Minimum grade C-
    This course should be taken in sequence with MATH 151. Topics include transcendental functions, techniques of integration, sequences and series, parametrizations of curves, polar coordinates, functions of multiple variables, directional derivatives, Lagrange multi-pliers and Taylors formula.
  
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    MATH 201 - Math Models with Tech I


    Credits: Three (3)
    Prerequisite: MATH-151, and ISYS-100; Minimum grade C-
    Students receive basic training in standard office software. A variety of real-life math models will provide the context for developing spreadsheet proficiency, including functions and formulas, statistical analysis, numerical solutions, optimization, and graphical output. Other areas to be covered include database applications and basic application programming techniques.
  
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    MATH 207 - Algebra for Educators


    Credits: Three (3)
    Prerequisite: EDUC-200, EDUC-201, Placement test or grade of C- or better in MATH-100
    This course is designed only for elementary and middle school/secondary math education majors. Topics include rational number representations, algebraic expressions & equations, linear equations, and systems of linear equations. Problem solving and application problems will be incorporated throughout the course.
  
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    MATH 208 - Geometry and Statistics for Educators


    Credits: Three (3)
    Prerequisite: EDUC-200, EDUC-201,Placement test or grade of C- or better in 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.
  
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    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 areprobability and set theory, permutations and combinations, matrices, linear programming, finance, logic and statistics. Students will apply principles to real world problems.

  
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    MATH 251 - Calculus III


    Credits: Four (4)
    Prerequisite: MATH-152; Minimum grade C-
    This is the third course of the calculus sequence. Topics include multiple integrals, vectors and analytic geometry in space, vector-valued functions, line integrals, Greens Theorem in the plane, surface area and surface integrals, Stokes Theorem and differential equations.
  
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    MATH 293 - Cooperative Education


    Credits: One (1) to Four (4)
    Cooperative education courses may be taken before a students major, minor and General Education requirements are completed, but they are not counted as part of those requirements.
    Cross-listed: ACSC-293, MATH-393
  
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    MATH 296 - Independent Study


    Credits: One (1) to Four (4)
  
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    MATH 297 - Special Studies


    Credits: One (1) to Four (4)
  
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    MATH 300 - Algebraic Structure and Proofs


    Credits: Three (3)
    Prerequisite: MATH-151
    This course introduces predicate logic, mathematical rigor, and proofs. The course prepares students for the demands of advanced courses while giving students an opportunity to witness and participate in the intrinsic beauty of formal mathematical thought and algebraic structure. Topics include: logic, induction, set and functions, matrices, rings, groups, fields, properties of integers, real numbers, and complex numbers.
  
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    MATH 301 - Math Models with Tech II


    Credits: Three (3)
    Prerequisite: MATH-201
    This course complements and continues the technical computer training offered in ACSC/MATH 201. The content is focused 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.
    Cross-listed: ACSC-301
  
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    MATH 312 - Number Theory with Applications


    Credits: Three (3)
    Prerequisite: MATH-151
    This course covers fundamental principles of number theory. The topics including primes and composites, divisors and multiples, divisibility, remainders, the Euclidean Algorithm, the fundamental theorem of arithmetic, congruences, application of congruences, and continued fractions.
  
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    MATH 316 - Applied Linear Algebra


    Credits: Three (3)
    Prerequisite: MATH-152
    This one semester course is designed to introduce the students to the fundamental concepts underlying the study of linear algebra. Topics include matrix algebra and systems of linear equations, basis and dimensions, orthogonality, eigenvalues and eigenvectors, diagonalization of matrices and linear transformations.
  
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    MATH 320 - Applied Differential Equations


    Credits: Four (4)
    Prerequisite: MATH-251; Minimum grade C-
    This course introduces the use of mathematical modeling based on calculus and differential equations. Topics include non-linear constrained optimization, linear and non-linear differential equations, stability of solutions, transforms, numerical methods and systems of equations. Practical applications are emphasized and computers will be employed to illustrate the underlying mathematical principles.
  
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    MATH 330 - Euclid and Non-Euclidean Geometry


    Credits: Three (3)
    Prerequisite: MATH-152; Minimum grade C-
    The course deals with Euclidean, projective, hyperbolic and other non-Euclidean geometries.
  
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    MATH 351 - Advanced Calculus


    Credits: Three (3)
    Prerequisite: MATH 251, Minimum grade C-
    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.
  
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    MATH 370 - Mathematical Statistics I


    Credits: Three (3)
    Prerequisite: MATH-152
    Corequisite: MATH-152

    This is the first in a sequence of two one-semester courses on mathematical statistics. Topics include distribution of random variables; conditional probability and marginal distributions; stochastic independence; distributions of functions of random variables; and sampling theory.
    Note: The course is calculus-based.
    Cross-listed: ACSC-370
  
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    MATH 371 - Mathematical Statistics II


    Credits: Three (3)
    Prerequisite: MATH-370; Minimum grade C-
    This course should be taken in sequence with MATH 370. Topics include order statistics and maximum likelihood estimators; sampling distributions of estimators; point and interval estimation of parameters; statistical hypotheses; and statistical tests, including uniformly most powerful tests.
    Cross-listed: ACSC-371
  
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    MATH 372 - Mathematical Statistics III


    Credits: Three (3)
    Prerequisite: MATH-371
    Topics include classical basic concepts of inference, inference for single samples, inference for two samples, inferences for proportion, simple linear regression and advance estimation methods including Moment, Maximum Likelihood, and Bayesian Estimation. This course is calculus - based. See ACSC 372

    Cross-listed: ACSC-372
  
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    MATH 405 - Statistical Modeling I


    Credits: Three (3)
    Prerequisite: ACSC-372 or MATH-372
    This course covers the following topics, Evaluation data for estimation and goodness-0f-fit to models, least square estimates of parameters, Single linear regression, multiple linear regressions, Hypothesis testing, confidence intervals in linear regression models. Topics also include Testing of models, data analysis and appropriateness of models, Linear time series models, Moving average, autoregressive and/or ARIMA models, Estimation, data analysis and forecasting with time series models, Forecast errors and confidence intervals.
    Note: This course has been approved by VEE Administration Committee of Society of Actuaries to fulfill the requirements of topics in Applied Statistical Methods. To receive credit for the subject from the Society of Actuaries, students will need a grade of B- or better.
    Cross-listed: ACSC-405
  
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    MATH 406 - Statistical Modeling II


    Credits: Three (3)
    Prerequisite: MATH-405
    This course covers the materials on the professional actuarial exam C. Topic includes Construction of Empirical Models, Estimate failure time and loss distributions using Kaplan-Meier estimator, including approximations for large data sets, Nelson-Aalen estimator. Kernel density estimators, Estimate the variance of estimators and confidence intervals for failure time and loss distributions, Estimate failure time and loss distributions with the Cox proportional hazards model and other basic models with covariates. The course will also cover the topics, Unbiasedness, Consistency, Mean squared error, Estimate the parameters of failure time and loss distributions using, Maximum likelihood, Method of moments, Percentile matching, Bayesian procedures, Estimate the parameters of failure time and loss distributions with censored and/or truncated data.
    Cross-listed: ACSC-406
  
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    MATH 496 - Independent Study


    Credits: One (1) to Four (4)
  
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    MATH 497 - Special Studies


    Credits: One (1) to Four (4)
  
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    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.


  
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    MATH 501 - Excel Data Analytics I


    Credits: Three (3)
    Prerequisite: ISYS 100
    The course aims at exploring Excel skills to manage, organize, and summarize data. Students will learn the skills and features in Excel, including sort, filter, PivotTable, Data Table, loading data into Excel, editing data, etc. The students will work on simplified real work-environment projects to gain some feeling of the real world. The students will also need to choose their own project, in which they can apply the learned skills.
  
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    MATH 502 - Introduction to R


    Credits: Three (3)
    Prerequisite: ISYS 100
    The course covers practical issues in statistical computing which includes programming in R, reading data into R, accessing R packages, writing R functions, debugging, profiling R code, and organizing and commenting R code. Topics in statistical data analysis will provide working examples
  
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    MATH 503 - Introduction to Python


    Credits: Three (3)
    Prerequisite: ISYS-100
    The course covers practical issues in statistical computing which includes programming in Python, reading data into Python, accessing Python packages, writing Python functions, debugging, profiling R code, and organizing and commenting Python code. Topics in statistical data analysis will provide working examples.
  
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    MATH 504 - Introduction to SQL


    Credits: Three (3)
    Prerequisite: ISYS-100
    The course covers practical issues in managing data held in a relational database management system (RDBMS) and writing complex queries in SQL.
  
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    MATH 505 - Statistical Modeling I


    Credits: Three (3)
    Prerequisite: ACSC-372 or MATH-372
    This course covers the following topics, Evaluation data for estimation and goodness-0f-fit to models, least square estimates of parameters, Single linear regression, multiple linear regressions, Hypothesis testing, confidence intervals in linear regression models. Topics also include Testing of models, data analysis and appropriateness of models, Linear time series models, Moving average, autoregressive and/or ARIMA models, Estimation, data analysis and forecasting with time series models, Forecast errors and confidence intervals.
    Note: This course has been approved by VEE Administration Committee of Society of Actuaries to fulfill the requirements of topics in Applied Statistical Methods. To receive credit for the subject from the Society of Actuaries, students will need a grade of B- or better.
    Note: This course is for graduate students only.
    Cross-listed: ACSC 405
  
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    MATH 506 - Statistical Modeling II


    Credits: Three (3)
    Prerequisite: MATH 405
    This course covers the materials on the professional actuarial exam C. Topic includes Construction of Empirical Models, Estimate failure time and loss distributions using Kaplan-Meier estimator, including approximations for large data sets, Nelson-Aalen estimator. Kernel density estimators, Estimate the variance of estimators and confidence intervals for failure time and loss distributions, Estimate failure time and loss distributions with the Cox proportional hazards model and other basic models with covariates. The course will also cover the topics, Unbiasedness, Consistency, Mean squared error, Estimate the parameters of failure time and loss distributions using, Maximum likelihood, Method of moments, Percentile matching, Bayesian procedures, Estimate the parameters of failure time and loss distributions with censored and/or truncated data.
    Note: This course is for graduate students only
    Cross-listed: ACSC 406
  
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    MATH 510 - Risk Theory


    Credits: Three (3)
    Prerequisite: MATH 371
    This course introduces the students to risk theory as it applies, under specified assumptions, to insurance. Topics include individual and collective risk models for single and extended periods, expense loaded premiums, liabilities and asset shares, Markov chains.
    Cross-listed: ACSC 510
  
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    MATH 512 - Predictive Modeling


    Credits: Three (3)
    Statistical modeling will be a powerful (and critical) tool for the next generation of actuarial scientists, as well as professionals working in other fields that deal with large amounts of data (e.g. health care, bioinformatics, biotechnology and chemical engineering). Many disciplines have developed tools that allow the generation of massive amounts of data, and the ability to use statistical modeling to analyze this data is in high demand. This course will prepare students with the fundamental statistical techniques and real life examples. Generalized linear model will be the main focus, but advanced models, such as CART and data clustering, will be discussed as well. Students will gain a thorough understanding of predictive modeling and its applications (in particular in the field of insurance), and will be well prepared for professional work.
    Cross-listed: ACSC 512
  
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    MATH 514 - Theory of Interest


    Credits: Three (3)
    Prerequisite: MATH-251, Permission of Program Director
    This course covers the mathematical theory of compound interest with applications to investments. Topics include accumulation of interest in discrete and continuous time, nominal and effective interest, present and future values, and annuities. This course, along with Financial Mathematics I, will cover all of the topics mentioned in the most recent Basic Education Catalog of Society of Actuaries under Exam FM Learning Objectives. A presentation of one project is required for the course.
    Note: This course is for graduate students only
    Cross-listed: ACSC 514
  
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    MATH 515 - Financial Mathematics I


    Credits: Three (3)
    Prerequisite: MATH 514
    This course covers the mathematical theory of compound interest with applications to investments and corporate finance. Topics include accumulation of interest in discrete and continuous time, nominal and effective interest, present and future values, annuities and variable cash flows, loans, valuation of stocks, bonds and other securities, and the assessment of corporate financial performance using standard financial models. A presentation of one project is required for the course.
    Note: This course is for graduate students only
    Cross-listed: ACSC 515
  
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    MATH 516 - Financial Mathematics II


    Credits: Three (3)
    Prerequisite: MATH 514
    This course covers financial theory, with emphasis on mathematical models, topics include the value of common stocks, risk and return, portfolio theory, capital budgeting issues, capital structure, strategic long-term financing decisions, financial statement ratio analysis and the valuation of options including the Black-Scholes formula. A project on portfolio design and analysis is required for the course. Students who get a grade of B- or better will receive credit for Corporate Finance from the Society of Actuaries. A presentation of one project is required for the course.
    Note: This course is for graduate students only
    Cross-listed: ACSC 516
  
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    MATH 521 - Actuarial Modeling I


    Credits: Three (3)
    Prerequisite: ACSC-371 or MATH-371; ACSC-414 or MATH-414; and Permission of Program Director
    This course is the first part of the sequential courses in actuarial modeling to develop the student’s knowledge of the theoretical basis of actuarial models and the application of those models to insurance and other financial risks. Topics include survival models, life tables, mortality rates, life insurance, life annuities, benefit premiums, and benefit reserves. A presentation of one project is required for the course.
  
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    MATH 522 - Actuarial Modeling II


    Credits: Three (3)
    Prerequisite: MATH-521
    This course is the second part of the sequential courses in actuarial modeling to develop the student’s knowledge of the theoretical basis of actuarial models and the application of those models to insurance and other financial risks. Topics include analysis of benefits reserves, multiple life functions, multiple decrement models, frequency and severity models, compound distribution models, Poisson process models, insurance models including expenses and Markov chain models. A project on the above topics and presentation is required for the course. A presentation of one project is required for the course.
    Cross-listed: ACSC 522
  
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    MATH 572 - Mathematical Statistics III


    Credits: Three (3)
    Prerequisite: Permission of Program Director, Graduate students only
    Topics include classical basic concepts of inference, inference for single samples, inference for two samples, inferences for proportion, simple linear regression and advance estimation methods including Moment, Maximum Likelihood, and Bayesian Estimation. This course is calculus-based. A presentation of one project is required for the course.
    Note: This course is for graduate students only.
    Cross-listed: MATH-372
  
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    MATH 597 - Thesis/Research


    Credits: One (1) to Four (4)
  
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    MATH 599 - Internship


    Credits: Three (3)
  
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    MATH 607 - Credibility and Simulation


    Credits: Three (3)
    Prerequisite: ACSC-506 or MATH-506 (previous or concurrent enrollment allowed)
    The student is expected to identify steps in the modeling process. Specifically, the candidate is expected to be able to perform the tasks such as; apply limited fluctuation (classical)credibility including criteria for both full and partial credibility, perform Bayesian analysis using both discrete and continuous models, apply B, hlmann and B, hlmann-Straub models and understand the relationship of these to the Bayesian model, apply conjugate priors in Bayesian analysis and in particular the Poisson-gamma Model, apply empirical Bayesian methods in the nonparametric and semi-parametric Cases, simulate both discrete and continuous random variables using the inversion Method, estimate the number of simulations needed to obtain an estimate with a given error and a given degree of confidence, use simulation to determine the p-value for a hypothesis test, use the bootstrap method to estimate the mean squared error of an estimator, and apply simulation methods within the context of actuarial models. A presentation of one project is required for the course.

     
    Note: This course combined with ACSC 506 will cover the materials for Actuarial Professional exam C. One presentation will be needed for this course.
    Cross-listed: ACSC 607

  
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    MATH 610 - Enterprise Risk Mgmt Exam


    Credits: Three (3)
    Prerequisite: Exam P or Exam FM or ACSC-522 or MATH-522
    This course covers part of the syllabus of the Enterprise Risk Management exam offered by Society of Actuaries. The course serves as an introduction to Enterprise Risk Management. It will define and categorize different types of risks an entity faces, and define an ERM framework. Ways to measure and quantify the risk, such as (principle based) Economic Capital, Value at Risk (VaR), and stress scenarios will be analyzed and compared. The course will conclude with applications of these methods in a case study of an insurance company and recent regulatory developments such as ORSA (Own risk solvency assessment).
    Cross-listed: ACSC 610
 

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