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Computing & Information Systems Department


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CIS Course Descriptions

Note that course descriptions and when courses are offered are subject to revision when needed.

CS 102 Fundamentals of IT and Computing

This course is for the student who wishes to be fluent in information technology (IT) and computer concepts. It is an introduction to the wide range of concepts, techniques, and applications of computer and network technologies. Emphasis is on the possibilities and limitations of Computer Science/Information Systems/Information Technology in personal, commercial, and organizational activities. Topics include history of computing, computer types, computer structure and operation, computer languages, human/computer interaction, program development, computer applications, basic networking, security, and computers in society. Three credits.

CS 106 Linux System Administration

This course provides an introduction to the use and administration of the Linux operating system. Operating system concepts will be covered as well as how Linux implements these concepts. The course will explore the main areas of the operating system, including the file system, process execution in a multitasking, multi-user environment, basic networking, and security functionality. Two credits.

CS 110 C++ Programming I

An introduction to problem-solving and computer programming. Topics include algorithms, program structure, input/output, modularity and parameters, control structures, data abstraction, arrays, text files, and structured techniques. Three credits.

CS 111 C++ Programming II

A study of advanced programming techniques and applications continuing from the point where CS 110 ended. Elementary data structures and associated algorithms are examined. Topics covered include arrays, strings, file processing, classes, stacks, queues, linked lists, and recursion. Prerequisite: CS 110. Three credits.

CS 170 Discrete Structures I

This course is an introduction to the topics in discrete mathematics that are of particular use in computing. Discrete mathematics is especially concerned with counting techniques and finite or infinite sets of integers (discrete numbers), instead of a continuous range of numbers (such as the real numbers used in calculus). Topics to be covered include logic, sets, functions, simple proof techniques, algorithms, running time analysis, basics of number theory, RSA encryption, graphs and trees, finite state machines, parsing, and grammars. Prerequisite: CS 110. Three credits.

Programming Language Lab: Python

A laboratory that covers an introduction to the Python programming language including fundamental programming techniques including syntax, control statements, and libraries used in data science and data analytics. One credit.

CS 171 Introduction to Computability

This course emphasizes the mathematical and theoretical foundations of computer science. The primary topics are computability theory and Turing machines, complexity theory (including the classes P, NP, NP-complete, and NP hard), grammars and parsing, push-down automata, and running time analysis (especially using recurrence relations and generating functions). Important fundamental questions will be answered, such as whether all functions are computable and the existence of unsolvable problems. Also included is an introduction to proofs of program correctness and some running time analysis for algorithms to solve the traveling salesperson problem. Prerequisite: CS 170. Three credits.

CS 205 Web Site Design and Programming

This introduction to web development and web programming is intended for both CIS majors and non-majors. Topics include basic aspects of good web design and introductions to technologies that add functionality such as HTML 5, cascading style sheets, JavaScript, the document object model, XML, PHP, Ajax, and the MySQL database. Prerequisite: CS 111. Three credits.

CS 214 Introduction to Mobile Application Programming

This course will cover the basics of developing applications for mobile platforms such as the Apple iOS and Android devices. Differences between mobile and desktop computing will be discussed. Programming languages for the development of mobile software will be introduced along with integrated development environments such as Xcode for iOS and Eclipse for Android. Students will complete projects in small groups and must pass exams individually. Prerequisite: CS 221. Three credits.

CS 221 Data Structures

The study of data structures and associated algorithms is developed in an object-oriented fashion. This course attempts to show the value of object-oriented design. Various implementations of data structures and the efficiency of the associated algorithms are discussed. Topics to be covered include stacks, queues, keyed tables, recursion, linked lists, binary search trees, sorting, searching, and hash functions. Prerequisite: CS 111. Three credits.

CS 225 Cybersecurity

This course examines both the theory and practices that serve as the foundations of cybersecurity. Utilizing the CISSP Common Body of Knowledge as a foundation, fundamentals of access control, network security, risk management, cryptography, business continuity/disaster planning, environmental security, software development security, and security architecture and design are introduced. Prerequisite: CS 102. Three credits.

CS 226 Mobile Forensics

This course covers areas of mobile forensics, including topics from the legal and technical aspects of the discipline. Software based forensics tools will be utilized to examine mobile communication and computing devices. Removable storage mediums will also be addressed. A focus will be placed on recovering data that could be used to identify users and their actions. Supporting topics will also cover the basics of the investigative process, issues regarding privacy, incident response policies and procedures, evidence gathering, exhibit handling, and differences between private and criminal investigations. The course will also cover the essentials of mobile phone networks and differences with traditional data/communication networks. Prerequisite: CS 225. Three credits.

CS 250 User Interface Design

Good decisions involving the design of a user interface can lead to programs that are easier for end users to execute. Code that is written by programmers who are sensitive to ergonomic issues will execute faster, have fewer errors, require less training time and ultimately give its end user a greater sense of satisfaction. This course will discuss the many issues involving such human-computer interaction. A group project involving the design or re-design of a site or application will be completed. Prerequisite: CS 111. Three credits.

CS 255 Introduction to Artificial Intelligence

This course will present overviews of the roots of artificial intelligence, predicate calculus, search techniques, knowledge representation and knowledge-based problem-solving. In addition to other assignments, students will be required to complete projects using languages and techniques which will be introduced during the course. Prerequisite: CS 221, CS 170. Three credits.

CS 265 Information Systems Management

This course provides an introduction to management information systems, e-commerce, planning, and decision support systems explaining how information is used in organizations, the role of information technology professionals, and how information systems are used to an advantage in business settings. Social and ethical issues related to the design, implementation and use of information systems will be addressed. Basic information technology project management skills will be covered as well as the issues and challenges involved in managing an information services department and navigating organizational structures in the corporate world. Prerequisite: CS 102. Three credits.

CS 270 Introduction to Numerical Computation

An introduction to the algorithms of scientific computation and their application to problems in engineering, algebra and calculus. Topics covered include number representation, error analysis, programming techniques, function evaluation, solutions of nonlinear equations, solutions of linear systems, numerical integration, eigenvalues/eigenvectors, and solutions of differential equations. Prior programming experience is not required. Prerequisite: MA 109 or MA 111. Three credits.

CS 292 Engineering and Computer Ethics

Study of ethical issues in the fields of engineering and computing: Topics include professional responsibility to clients and employers, whistle-blowing, codes of ethics, legal issues that relate to privacy, intellectual property rights, and cybercrime. Prerequisite ENGR CS 110. Three credits.

CS 305 Web Technologies

This course focuses on more complex web technologies than are covered in CS 205, especially ASP.NET. The majority of the course involves building an ecommerce site and using webpages as front-ends to server-based databases. Prerequisite: CS 221. Three credits.

CS 310 Programming Languages

This course examines the features, implementation, and design of programming languages. Various high-level programming languages representing different programming paradigms will be covered. Java will be used as the primary example of an object-oriented programming language. Programming language translation and runtime features such as storage allocation will be among the topics that are considered. Prerequisites: CS 170 and CS 335. Three credits.

CS 312 Algorithms

This course covers the design, operation, and running time analysis of a wide array of algorithms. This includes the study of algorithms that follow these paradigms: divide-and-conquer, dynamic programming, randomized algorithms, and greedy algorithms. Algorithms examined include many for searching and sorting; insertions, lookups, and deletions in various data structures; and common graph algorithms. Prerequisites: CS 171 and CS 221. Three credits.

CS 315 Server-Side Programming

This course concentrates on designing, writing, installing, and configuring software for Linux and Windows servers. Possible languages to be used include C++, PowerShell, Node.js, and bash. Server-based software projects often provide a service that many users can access simultaneously, often over the network. Also covered is the use of git and GitHub in managing projects and installing software. Prerequisite: CS 221. Three credits.

CS 321 Data Communications and Computer Networks

This course covers the major areas of data communications and networking. It uses the OSI layered approach and focuses especially on the TCP/IP protocols and the Internet. LAN technologies and the configuration of routers and switches are also included. Prerequisite: CS 225. Three credits.

CS 322 Advanced Networking

This course will address computer networking beyond the OSI model framework. Current industry techniques and technologies are explored in areas of voice, mobile, wireless, and remote technologies. Issues in system security, performance, and maintenance will also be examined. Current research and evolving trends will be discussed to highlight the ever-changing nature of the field and to identify the skills necessary in evaluating new technologies. Students will be expected to build functioning networks during hands on activities beginning with basic wiring through router and VPN configurations. Prerequisite: CS 321. Three credits.

CS 325 Advanced Topics in Cybersecurity

This course explores advanced topics in cybersecurity such as computer forensics, malware analysis, secure coding, and penetration testing of web applications and networks. Building upon the theoretical foundations of CS 225, students will participate in multiple lab and practical exercises to gain experience with current field techniques. The course requires a basic knowledge of cybersecurity issues, networking, and programming background. Prerequisite: CS 225. Three credits.

CS 330 Operating Systems

This course covers basic computer hardware, processes, CPU scheduling, virtual memory and main memory management, caching, interrupts, processes and threads, system calls, synchronization, I/O, deadlock, disk scheduling, real time scheduling, operating systems security, file systems, interprocess communications, multiprocessor systems, storage management, virtualization, the user interface, and performance. In addition, it uses Linux as a case study, emphasizing system administration tasks, Linux utilities, pipes, and bash scripts. Offered spring semester. Prerequisite: CS 335. Three credits.

CS 335 Computer Organization

This course introduces fundamental concepts of how computers process instructions and data. Hardware organization, instruction and addressing-mode processing, computer arithmetic, and translation of high-level language constructs to assembly code are discussed. Prerequisite: CS 221. Three credits.

CS 350 Database Concepts and Information Structures

This is a first course in modeling complex organizations of data. It includes a review of logical file structures and access methods. Information structures and databases are studied, with detailed work in personal and enterprise database systems. Prerequisite: CS 102. Three credits.

CS 351 Information Systems Analysis and Design

An investigation of the discipline of systems analysis in relation to the information system life cycle. Structured and object-oriented techniques of analysis and design applicable to current system documentation and the development of general systems solutions are presented. Topics include process and data flows, I/O designs, and systems modeling. Problem solving and communication skills employed in the transition from analysis to design are stressed. Cannot substitute for CS 355 Software Engineering. Prerequisite: CS 221. Three credits.

CS 355 Software Engineering

This course will cover methodologies for program construction which will allow software of high quality to be constructed, where high quality software is defined as software which is reliable and reasonably easy to understand, modify, and maintain. The course covers the software development life cycle, from requirements (elicitation, modeling, analysis and specification), to design specifications, to implementation, testing and delivery. Also included are project management, project documentation and the development of communications skills through written documentation. Cannot substitute for CS 351 Information Systems Analysis and Design. Prerequisite: CS 221. Three credits.

CS 357 Computing Science Project I

Using principles and techniques developed in CS 351 Systems Analysis and Design or CS 355 Software Engineering, a capstone senior project is researched, designed, documented, implemented and tested over two semesters. Projects are typically completed individually, but a team approach may be used at the discretion of the instructor. Projects may be done for actual clients. Each project should be done in an area related to one's concentration. Prerequisite: CS 351 or CS 355. One credit.

CS 358 Computing Science Project II

Using a design developed in CS 357 Computing Science Project I, a software system is implemented and tested. Projects are done in teams. Projects may be done for actual clients. Prerequisite: CS 357. Two credits.

CS 365 Computer Game Design and Development

This course covers concepts and methods for the design and development of computer games. Topics include: graphics and animation, sprites, software design, game design, user interfaces, game development environments. Prerequisite: CS 221. Three credits.

CS 366 Advanced Computer Game Design and Development

This course is a continuation of CS 365 and is focused on the development of 3D games and other advanced game programming techniques. Students design and implement several games during the semester. Prerequisite: CS 365. Three credits.

CS 367 Multiplayer Networked Games

This course is focused on the development of networked games with emphasis on both hardware and software design issues. The course will explore sophisticated programming techniques and advanced algorithms. This course may be repeated. Prerequisite: CS 366. Three credits.

CS 375 Applied Cryptography

This course presents sufficient number theory and finite field algebra to describe common cryptographic systems. Course topics include the German Engima machine, DES, AES, the RSA cryptosystem, discrete logarithms, the ElGamal cryptosystem, elliptic curve cryptography, quantum cryptography, and lattice-based cryptography. Students will use computer software to solve cryptography problems and will write their own software to handle some types of cryptography, do cryptanalysis, etc. using C++ and the bigint package in Linux. Common applications of cryptography such as key distribution, digital signatures, and cryptocurrencies will also be studied, as well as some of the methods of attacking cryptosystems. Prerequisites: CS 170 and CS 221. Three credits.

CS 450 Independent Study -- Computing

An independent study may be possible by arrangement with an individual faculty member. Course may be repeated with a different topic. Variable credit.

CS 550 Computing Internship

An internship involves practical work experience, typically with a local business. Course may be repeated. Variable credit, but any such credit cannot be applied to CIS electives. Internships may be done for no credit.