Department of Mathematical, Computing, and Information Sciences

Department Head: Dr. Jan Case

119 Ayers Hall

Computer Science and Computer Information Systems Programs
Accredited by the Computing Accreditation Commission of ABET, Inc.

Three majors are available:

Mathematics with one of three concentrations—Data Science, General, and Traditional
Computer Science with one of five concentrations—Data Science, Game Development, General, Information Assurance, and Web Development
Computer Information Systems with one of four concentrations—Data Science, General, Information Assurance, and Web Development

To satisfy the general studies curriculum, general courses from the areas listed in the “Plan of Study” for each major and concentration must be completed. All students, especially transfer students, must note the specific courses required in their “Plan of Study.” For specific requirements in each major/minor see the department head or an advisor.

Mathematics

MS 100 Intermediate Algebra for Precalculus (3)

Operations and properties of real numbers, rates and proportions, units and measurement, elementary plane geometry, linear equations and inequalities, exponents and polynomials, factoring algebraic expressions, graphing in the cartesian plane, systems of equations and inequalities, rational and radical expressions, and functions. Institutional credit only. Grades: A, B, C, NC.

MS 107 Intermediate Algebra for Finite Mathematics (3)

Operations and properties of real numbers, rates and proportions, units and measurement, elementary plane geometry, linear equations and inequalities, exponents, graphs, and radicals. (May not be repeated. Institutional credit only.) Grades: P, NC.

MS 110 Finite Mathematics (3)

Prerequisite(s): Satisfactory score on the departmental placement test, or satisfactory performance in the appropriate developmental course, or MS 112 or higher.

This course gives an overview of topics in finite mathematics with applications, including set theory, logic, proportional reasoning, statistics, and finance. Credit will not be given for both MS 110 and MS 111.

MS 111 Honors Finite Mathematics (3)

Prerequisite(s): Admission to the honors program and at least one of the following

Advanced study of topics in finite mathematics with applications, including set theory, logic, proportional reasoning, statistics, and finance with an emphasis on writing, projects, and technology. Credit will not be given for both MS 110 and MS 111.

MS 112 Precalculus Algebra (3)

Prerequisite(s): Satisfactory score on the departmental placement test, or satisfactory performance in the appropriate developmental course.

First and second degree equations and inequalities; linear and quadratic functions and graphs; polynomial and rational functions; exponential and logarithmic functions; conic sections, and systems of equations.

MS 113 Precalculus Trigonometry (3)

Prerequisite(s): MS 112 with a "C" or better or satisfaction of MCIS Department placement criteria (see the MCIS Department website).

Trigonometric functions and inverses, applications, graphs, identities and equations, laws of sines and cosines, vectors and complex numbers.

MS 115 Precalculus Algebra and Trigonometry (4)

Prerequisite(s): MS 112 with a "C" or better or MS 113 with a "C "or better or satisfaction of the MCIS Department placemnt criteria (see the MCIS Department website).

The course is an algebra-trigonometry composite providing the student with a mathematical foundation required for calculus or other courses requiring a similar mathematical background.

MS 120 Calculus and Its Applications (3)

Prerequisite(s): MS 112 with a "C" or better or satisfaction of MCIS Department placement criteria (see the MCIS Department website).

An introduction to the ideas and techniques of the differential and integral calculus, matrix computations, probability theory, and Markov chains. Graphical, numerical, analytical, verbal, and coding representations and analyses of selected applications of these topics relevant to business, industry, management, life, and social sciences. Does not count towards a mathematics major or minor.

MS 125 Calculus I (4)

Prerequisite(s): MS 113 with a "C" or better or MS 115 with a "C" or better or satisfaction of MCIS Departmental placement criteria (see MCIS Department website).

Introduction to analytic geometry, functions and limits, differentiation with applications, indeterminate forms, antiderivatives, definite integrals, numerical integration, calculus of transcendental functions.

MS 126 Calculus II (4)

Prerequisite(s): MS 125 with a "C" or better.

Applications of integration, techniques of integration, improper integrals, infinite series, vectors in the plane and in 3-space.

MS 133 Mathematical Concepts I (3)

Prerequisite(s): MS 112 with a "C" or better.

One of three mathematics courses designed for prospective elementary teachers. Problem solving, set theory, number theory, real number operations, historical development and structure of number systems. (Enrollment by advisement only.)

MS 134 Mathematical Concepts II (3)

Prerequisite(s): MS 133 with a "C" or better.

One of three mathematics courses designed for prospective elementary teachers. A thorough study of geometry, measurement, and statistics. Problem solving and application are emphasized. (Enrollment by advisement only.)

MS 135 Mathematical Concepts III (3)

Prerequisite(s): MS 133 with a "C" or better.

One of three mathematics courses designed for prospective elementary teachers. Logic, probability, principles of counting, algebraic reasoning and representation. (Enrollment by advisement only.)

MS 204 Basic Statistics (3)

Prerequisite(s): Satisfactory score on the departmental placement test, or satisfactory performance in the appropriate developmental course, or MS 110 or higher.

Numerical descriptive methods, axioms of probability, random variables, statistical inference, point and interval estimation of mean, and hypothesis testing.

MS 205 Honors Basic Statistics (3)

Prerequisite(s): Satisfactory score on the departmental placement test, or satisfactory performance in the appropriate developmental course, or MS 110 or higher.

Numerical descriptive methods, axioms of probability, random variables, statistical inference, point and interval estimation of mean, and hypothesis testing. Concepts are reinforced with multiple hands-on experiences throughout the course. A final project serves as a comprehensive evaluation of statistical skills and knowledge.

MS 227 Calculus III (4)

Prerequisite(s): MS 126 with a "C" or better.

Polar coordinates, parametric equations, vector-valued functions, multivariate functions, multiple integrals, vector analysis.

MS 250 Introduction to Linear Algebra (3)

Prerequisite(s): MS 113 or 115.

Basic theory of linear equations, matrices, real vector spaces, bases, dimension, linear transformations, determinants, eigenvalues, eigenvectors, inner product spaces, and the diagonalization of symmetric matrices.

MS 300 Introduction to Advanced Mathematics (WI) (3)

Prerequisite(s): MS 126 with a "C" or better; and EH 102, EH 104, or EH 106.

Mathematical writing, including methods of proof, and fundamentals of sets and functions. May also include selected topics in algebra, analysis, number theory, or discrete mathematics. Students will be required to demonstrate mastery of selected precalculus material by independently completing a mastery-based tutorial and testing program with a satisfactory score. (Writing Intensive Course)

MS 302 Applied Probability and Statistics (3)

Prerequisite(s): MS 120 with a "C" or better or MS 125 with a "C" or better.

Provides a summary of introductory probability and statistics centered around data analysis examples and computer simulations. Includes discrete and continuous probability distributions, estimation, and hypothesis testing.

MS 304 Mathematical Statistics I (3)

Prerequisite(s): MS 126 with a "C" or better.

Probability rules, discrete and continuous random variables and their probability distributions, expected value, variance, moment generating functions, multivariate probability distributions, and covariance.

MS 305 Number Theory (3)

Prerequisite(s): MS 125 with a "C" or better.

An introduction to the principal topics of elementary number theory, including divisibility, linear Diophantine equations, distribution of primes, congruences, Fermat's Theorem, and number theoretic functions.

MS 309 Combinatorics (3)

Prerequisite(s): MS 125 with a "C" or better.

An introduction to counting techniques such as permutations and combinations, the inclusion-exclusion principle, recurrence relations, and generating functions. May also include topics from graph theory, combinatorial design, and discrete probability.

MS 322 Selected Survey of Secondary School Mathematics (3)

Prerequisite(s): MS 112 and 113 or equivalents.

For students pursuing certification in mathematics. Overview of secondary school mathematics for prospective and inservice teachers of mathematics. Department credit not given for mathematics majors or minors.

MS 323 College Geometry (3)

Prerequisite(s): MS 125.

Euclidean geometry including synthetic and analytic proofs, geometric constructions, properties of the triangle and circle; an introduction to non-Euclidean geometry.

MS 331 Peer Educator (1)

Academic credit given to advanced undergraduate students who provide tutorial assistance in the mathematics department. Students will work under the guidance of an experienced mathematics instructor. Permission of department head required. Department credit not given for mathematics majors or minors. MS 331 and MS 332 may be repeated up to a maximum combined total of six semesters. GRADE: Pass/Fail.

MS 332 Peer Educator (2)

Academic credit given to advanced undergraduate students provide tutorial assistance in the mathematics department. Students will work under the guidance of an experienced mathematics instructor. Permission of department head required. Department credit not given for mathematics majors or minors. MS 331 and MS 332 may be repeated for credit up to a maximum combined total of six semester hours. GRADE: Pass/Fail.

MS 344 Differential Equations (3)

Prerequisite(s): MS 126 with a "C" or better.

The methods of solving differential equations of first or second order and higher order linear equations, including series solutions and selected applications.

MS 352 Linear Algebra (3)

Prerequisite(s): MS 126 with a "C" or better.

Matrices, linear systems, vector spaces with emphasis on algebraic structures.

MS 390 Numerical Analysis (3)

Prerequisite(s): MS 352 and CS 230 (or a higher numbered computer science programming course) with a "C" or better in both.

Numerical analysis and computing with emphasis on methods adaptable to electronic computing machinery.

MS 397 Directed Readings in Undergraduate Mathematics (1)

Prerequisite(s): Advanced standing and approval of instructor.

This course may be repeated for credit up to a maximum of three hours.

MS 399 Study Tour (3)

Topics, excursions, and requirements determined by department. May be duplicated for credit; however, only three (3) credits may be applied toward any major or minor. Infrequently scheduled and subject to minimum and maximum numbers. Advanced deposit required.

MS 403 Vector Analysis (3)

Prerequisite(s): MS 227.

Algebra and calculus of vectors, Stokes theorem, and divergence theorem; applications to geometry, mass potential functions, electricity, and fluid flow.

MS 404 Mathematical Statistics II (3)

Prerequisite(s): MS 227 and 304.

Continuation of MS 304. The Central Limit Theorem, order statistics, functions of random variables, properties of estimators, confidence intervals, hypothesis testing, and least squares regression models.

MS 415 Advanced Calculus I (WI) (3)

Prerequisite(s): MS 227 and 300.

Real number system, elementary point set theory, limits, theory of continuous functions, differentiable functions. (Writing Intensive Course)

MS 416 Advanced Calculus II (3)

Prerequisite(s): MS 415.

Selected topics from advanced calculus, elements of partial differentiation including the general theorems, Jacobians, topics on the theory of integration. This course is eligible for Faster Master's.

MS 423 Survey of Geometries (3)

Prerequisite(s): MS 323.

Selected topics from advanced Euclidean geometry, finite geometries, non-Euclidean geometry, and other geometries.

MS 441 Abstract Algebra I (WI) (3)

Prerequisite(s): MS 300 and 352.

Introduction to ring theory and related topics: elementary number theory (integer divisibility, congruence, and modular arithmetic), rings, integral domains, fields, ring homomorphisms and isomorphisms, polynomial rings, and if time permits, ideals and factor rings. (Writing Intensive Course)

MS 442 Abstract Algebra II (3)

Prerequisite(s): MS 300 and 352.

Introduction to group theory and related topics: groups, cyclic groups, subgroups, cosets and Lagrange's theorem, group homomorphisms and isomorphisms.

MS 444 Applied Statistical Methods (3)

Prerequisite(s): MS 204 or MS 302 or ST 261.

Fundamental concepts of descriptive and inferential statistics, probability distributions, estimation and hypothesis testing. Statistical software and/or scripting used to facilitate analysis and interpretation of results. Emphasis on statistical techniques to analyze data.

MS 451 Functions of a Complex Variable (3)

Prerequisite(s): MS 415.

Fundamental operations with complex numbers, differentiation and integration theorems, mapping, series, and residues. This course is eligible for Faster Master's.

MS 475 Seminar in Mathematics (WI) (3)

Prerequisites or corequisites for undergraduate: MS 415 or MS 441 or MS 451. Prerequisites for graduate: See Prerequisites for All Graduate Mathematics Courses. Goals include examining deeply the fundamental ideas of mathematics and connections among various branches of mathematics, exploring the historical development of major concepts, and further developing the habits of mind that define mathematical approaches to problems. This course is eligible for Faster Master's. (Writing Intensive Course)

MS 480 Introductory Topology (3)

Prerequisite(s): MS 415.

Basic topological concepts to include topological spaces, mapping, compactness, connectedness, and separation axioms. This course is eligible for Faster Master's.

MS 484 Partial Differential Equations (3)

Prerequisite(s): MS 227 and 344.

Standard methods of solution; separation of variables, Fourier Series, Laplace Transforms; selected applications. This course is eligible for Faster Master's.

MS 488 Mathematics Internship (1-6)

Prerequisite(s): Requires a faculty recommendation and permission of the department head.

(1-6). This course allows the student to gain experience in a job involving mathematics. The department head will approve the number of credit hours based on the scope of the project. Repeatable up to a total of 6 credit hours. Grades: Pass/Fail.

MS 499 Undergraduate Research in Mathematics (3)

Prerequisite(s): MS 302 or 304 or 415 or 441, senior standing, and approval of instructor.

A guided independent investigation of a topic outside the department's normal course offerings, to culminate in a written paper and oral presentation to the faculty.

Computer Science

CS 201 Introduction to Information Technology (3)

A brief exposure to theory and operations of information technology. Concepts presented include computer systems, hardware and software. Hands-on experience with selected productivity software packages. (Department credit not given for CS/CIS majors and/or minors.)

CS 202 Honors Introduction to Information Technology (3)

Prerequisite(s): ACT score of 24 or above or SAT of 520 or above and basic computer proficiency.

Advanced coverage of the theory and operations of information technology. Hands-on experience with selected popular software packages for Web and program design. (Department credit not given for CS/CIS majors or minors.)

CS 230 Fundamentals of Computing (3)

Lecture 1 hour, Lab 2 hours. Sets, functions, propositional logic, number systems, data representation, binary arithmetic. Problem solving tools and techniques. Control structures. Data structures. Implementation using a high-level language. (Open to any major, but required for CS/CIS majors.)

CS 231 Computer Programming I (3)

Prerequisite(s): CS 230 with a grade of C or better, MS 112 or higher level mathematics with a grade of C or better, and an overall GPA of 2.0 or higher.

Algorithmic problem solving. Modular programming. Strings, multi-dimensional arrays, records, dynamic linked lists. Documentation. Testing and debugging. Developing robust, user-friendly programs. Integral, scheduled laboratory. Lecture 2 hours, Lab 1 hours.

CS 232 Computer Programming II (3)

Prerequisite(s): CS 231.

Advanced problem solving. Efficiency and reuse. Abstract Data Types. Object-Oriented programming. Dynamic data structures: linked lists, queues, stacks. Recursive functions and procedures. Integral, scheduled laboratory. Lecture 2 hours, Lab 1 hour.

CS 234 Discrete Computational Structures (3)

Prerequisite(s): CS 230 and MS 112 or higher.

Introduction to concepts, terminology and manipulative skills associated with combinatorial structures and logic. Sets and functions, partially ordered sets, trees and graphs, algorithms and induction. Boolean algebra and introduction to symbolic logic.

CS 300 Microcomputing (3)

Prerequisite(s): CS 231.

Examination of micro-computers and their role in small to medium firms. Emphasis on applications, I/O operations and file handling in a laboratory environment.

CS 302 Database Applications (3)

Prerequisite(s): CS 231.

Introduction to database management systems using a current DBMS package; development of menu-driven database applications.

CS 304 Technical Writing for Computer Science (WI) (3)

Prerequisite(s): CS 230 and either EH 102 or EH 106.

Introduction to the writing tasks necessary of computer technology professionals. Covers skills necessary to prepare the technical reports, presentations, and documentation specific to the information technology environment. (Writing Intensive Course)

CS 305 Spreadsheet Modeling (3)

Prerequisite(s): MS 112 or higher and CS 201.

The use of spreadsheet software in modeling business problems. Extensive hands-on use of spreadsheets is required. (Department credit not given for CS/CIS majors or minors.)

CS 306 Introduction to Data Science (3)

An overview of how data science is used in organizations to solve problems and to create new opportunities. Provides an introduction to the tools and methods used to manage data and instruction in the analytics scripting language, R.

CS 307 Management of Information Security and Forensics (3)

Prerequisite(s): CS 201.

Study of information security and digital forensics using practical case studies. Emphasis is on developing security policies, security management and practices, utilization of digital forensic tools and techniques, risk management, security project management, and protection mechanisms. Major components of the course are hands-on projects on digital forensic investigation and security management case studies. (CS 307 is cross-listed with EM 325, but only one course can be counted for credit.)

CS 308 Embedded and Control Systems Security (3)

Prerequisite(s): CS 231.

A study of embedded system architectures, security, and digital forensics, the role of hardware abstraction layers and middleware, real-time OS issues such as concurrency, synchronization, and resource management, and the components and applications of industrial control systems. Laboratory activities include: ladder logic programming, embedded systems programming, and digital forensics for microcontrollers, mobile computing platforms, and industrial control systems.

CS 309 Introduction to E-Commerce (3)

Prerequisite(s): CS 201.

This course focuses on a rich variety of models and strategies for connecting individuals, businesses, governments, and other organizations to each other. The topics covered in the course will span value and supply chain concepts, varying business relationship types, as well as obligations for protection of individual privacy and organizational security.

CS 310 Software Engineering I (3)

Prerequisite(s): CS 232.

Introduction to the systems development life cycle, software development models, analysis and design techniques and tools, and validation and verification testing. Emphasis and experience will be on software engineering within a team environment.

CS 311 Management Information Systems (WI) (3)

Prerequisite(s): CS 309.

Study of the systems concept and its relationship to information requirements for decision making and management in traditional and e-commerce environments. (Writing Intensive Course)

CS 312 Software User Documentation (3)

Prerequisite(s): CS 310 and EH 102.

Introduction to writing, analyzing, and evaluating effective software documentation. Exposure to proposal writing. Emphasis on writing software user manuals.

CS 315 Intro to Web Design (3)

Prerequisite(s): CS 201.

Step-by-step process of creating a well-designed website. Emphasizes web design techniques resulting in fast-loading and well-placed graphics, cohesive color and typography across platforms and browsers, clear navigational interface, and appropriate use of sound and video. Includes studio component where students analyze, design, and implement websites.

CS 325 Web Scripting (3)

Prerequisite(s): CS 315 or CS 231.

A practical hands-on introduction to web scripting for writing client-side scripts. Topics include fundamentals of scripting as a web programming language, scripting techniques and programming concepts such as control structures, data structure, objects, event handling, and functions. Multiple scripting languagaes will be used for the hands-on projects.

CS 331 Data Structures and Algorithms (3)

Prerequisite(s): CS 232.

Design, analysis, and implementation of fundamental data structures: trees, heaps, and graphs. Basic algorithmic analysis and strategies. Basic computability and introduction to distributed algorithms.

CS 333 Computer Organization and Architecture (3)

Prerequisite(s): CS 232.

Digital logic; instruction set architecture and computer organization; memory systems; functional organization; interfacing and communication; multiprocessing and alternative architectures.

CS 339 Game Design I (3)

Prerequisite(s): One of (EH 102, EH 104, or EH 106) and one of (CS 201 or CS 230).

Principles of game design. Covers analysis of genres; gameplay; conceptual design; story and character development, effects of art, lighting, and sound; interface design; level design; and the business of game development.

CS 340 Discovering Genomics and Bioinformatics (3)

Prerequisite(s): CS 230.

The course provides a fundamental background in bioinformatics, both theoretical (bioinformatics algorithms) and practical (databases and web-based tools used to study problems in biology), to students in computer science or in biological sciences. Introduction to the biological problems addressed in this course will be provided, as well as a formal definition of the computational problems and a deep exploration of the algorithms for solving these problems. Practical use of topics introduced in class is demonstrated by laboratory exercises and homework problems. Students are grouped for class projects such that each group contains at least one life scientist and one computer scientist. (CS 340 is cross listed with BY 340, but only one course may be taken for credit.)

CS 350 Fundamentals of Computer Operating Systems (3)

Prerequisite(s): CS 232.

Overview of operating system concepts and structures. Study of process management including synchronization techniques for cooperating processes, main memory management including virtual memory systems, system resource allocation and deadlocks, file system implementation, secondary storage management and input/output subsystems.

CS 372 Information Systems Project Management (3)

Prerequisite(s): CS 232 and CS 304, each with a grade of C or better.

Information Systems project management theories, fundamentals, methods, tools, practices including process groups and project life cycle development methodologies. Project planning and execution topics include management of Project Integration, Scope, Schedule, Cost, Quality, Risk, and Procurement. Human behavioral topics include management of Human Resources, Communications, and Stakeholders.

CS 399 Study Tour (3)

Topics, excursions and requirements determined by department. May be duplicated for credit; however, only three (3) credits may be applied toward any major or minor. Infrequently scheduled and subject to minimum and maximum numbers. Advanced deposit required.

CS 400 Business Information Management (3)

Prerequisite(s): CS 201 or equivalent.

Study of terminology and concepts of computer-based management information systems. Emphasis on applications for developing and managing World-Wide Web page information. (Department credit not given for CS/CIS majors and/or minors.)

CS 408 Mobile Application Development (3)

Prerequisite(s): CS 310.

A study of application development for popular mobile computing platforms, such as smartphones and tablets. Topics and laboratory activities include: responsive screen layout and spacing; the use of sensors, cameras, and other mobile input devices; mobile resource management and optimization; and best practices for mobile security.

CS 412 Disaster Response & Recovery (3)

Prerequisite(s): CS 201.

How people, groups, organizations, communities and governments manage disasters in the immediate aftermath and recover from their effects, including social, physical, business, and infrastructure problems as well as intra and inter-organizational issues. (CS 412 is cross-listed with EM 411, but only one course can be counted for credit.)

CS 415 Dynamic Web Application (3)

Prerequisite(s): CS 488.

The course will present dynamic web based application architecture, web scripting languages syntax, principles and techniques for developing database driven web applications using multiple web scripting languages. Students will gain the experience in web scripting programming via the completion of a series of practical dynamic website projects.

CS 420 Algorithms Design/Analysis (3)

Prerequisite(s): CS 331.

Survey of design and analysis of efficient algorithms. Introduces methods of describing algorithm time and space complexity and various problem-solving techniques.

CS 425 Web Application Development Using Web Services (3)

Prerequisite(s): CS 310 or equivalent.

Undergraduate Prerequisite: CS 310. Graduate Introduction to technologies and tools for developing Web applications using Web Services, emphasizing organizational issues, challenges, and security concerns related to the effective deployment of those applications.

CS 430 Human-Computer Interaction (3)

Prerequisite(s): CS 232.

Human-computer interface, human performance, diversity, and mental models, interaction devices, dialog styles, interface styles, error handling, documentation, and evaluation of software interface designs.

CS 432 Computer Graphics (3)

Prerequisite(s): CS 232 and MS 113 or equivalent.

Hardware and software components of computer graphic systems, input representation, and transformation of graphic information. Two-dimensional and three-dimensional transformations; perspective, hidden-line algorithms, shading. Interactive graphics. Survey of applications.

CS 439 Game Design II (3)

Prerequisite(s): CS 232 and CS 339.

Principles of game development. Covers relevant game mathematics and data structures; selected Al topics common to game development; programming techniques and optimization techniques; game engines; and software engineering and project management for game development.

CS 444 Artificial Intelligence (3)

Prerequisite(s): CS 331 or permission of instructor.

Introduction to the principles and methods used in artificial intelligence programs with a focus on autonomous agents.

CS 445 Predictive Analysis (3)

Prerequisite(s): MS 444.

An overview of the principles and techniques used in Predictive Modeling. Modeling techniques will include, but not be limited to prediction (regression, decisions trees, neural networks), association rules (market basket analysis), segmentation (clustering, K-Means algorithm), and text mining.

CS 450 Computer Networking (3)

Prerequisite(s): CS 350. Graduate Prerequisite

Study of the computer interconnection and protocols with emphasis on network layers, error detection/correction, and topologies; project approach utilized. Graduate Prerequisite: Undergraduate operating systems course or equivalent.

CS 453 Theory of Languages and Automata (3)

Prerequisite(s): CS 232.

Formal representations for language syntax and semantics, underlying language theory. Study of automata theory: finite automata, pushdown automata, and Turing machines.

CS 461 Critical Infrastructures (3)

Prerequisite(s): CS 201.

Identifies what constitutes critical infrastructure including cyber as well as physical infrastructure. Evaluation of strategies for promoting vulnerability assessments and risk reduction, and protection of critical infrastructures are examined. (CS 461 is cross-listed with EM 461, but only one course can be counted for credit.)

CS 462 Ethics and Legal Issues (WI) (3)

Prerequisite(s): CS 310 or approval of instructor.

An overview of legal, ethical, global and professional issues in computing. (Writing Intensive Course)

CS 464 Honors Ethics and Legal Issues (3)

Prerequisite(s): Completion of CS 310 (B or above) or permission of the instructor.

This course is an advanced (honors) course that provides an overview of the legal, ethical, global and professional issues in computing. This course will enable students to identify ethical issues in technology, perform ethical analyses using a variety of ethical theories, and to critically read professional literature in the field. Students will develop an awareness of ethical issues in technology, including, but not limited to, the Internet (e.g. freedom of expression on the Internet), Intellectual Property rights, Privacy, Security, Reliability, Professional ethics, Employment issues and technology, and Plagiarism, and apply ethical theories to issues in those domains.

CS 470 Computer Security (3)

Prerequisite(s): Undergraduate operating systems course or equivalent.

Undergraduate Prerequisite: CS 350. Graduate Study of network security architectures and models, cryptography, authentication and authorization protocols, secure application and systems development, federal regulations and compliance. Emphasis is on security professional certification.

CS 480 Special Topics in Data Science (3)

Prerequisite(s): CS 445.

Current topics such as Big Data, Project Management, Simulation and Optimization. Includes a capstone project where students implement methodologies and practices of data science to create competitive advantage. This course may take the form of an internship upon approval of the MCIS department head.

CS 488 Database Systems (3)

Prerequisite(s): CS 232.

Concepts and terminology associated with data structure, file organization, access methods, packaged systems, database design and database systems.

CS 489 Business Intelligence (3)

Prerequisite(s): CS 488.

Exposure to principles and techniques of business intelligence. Topics include, but are not limited to, data warehouse development using dimensional data modeling, extraction transformation loading (ETL), methodologies and implementation, reports, and dashboards.

CS 491 Software Engineering II (3)

Prerequisite(s): CS 310.

This course is a continuation of software engineering that emphasizes the entire software process, developing and using process and product metrics, and managing software projects. Both individual and team projects will develop student expertise.

CS 494 Computer Science Internship (1-6)

Prerequisite(s): Requires a faculty recommendation and permission of the department head.

(1-6). Limited to CS or CIS majors with junior or senior standing. This course allows the student to gain experience in a job involving computer science. The department head will approve the number of credit hours based on the scope of the project. May be duplicated for credit for a total of six (6) semester hours.

CS 499 Special Topics (1-6)

Prerequisite(s): Senior status and approval of department head.

Exposes student to current or developing topics in computer science or computer information systems. Projects/topics are jointly selected by student and computer science instructor. This course can be taken multiple times of variable credit hours up to a total maximum of six credit hours, provided each course covers a different topic.