Apr 28, 2024  
Undergraduate Catalog (ARCHIVED) 2020-2021 
    
Undergraduate Catalog (ARCHIVED) 2020-2021 [ARCHIVED CATALOG]

Course Descriptions


 

Computer Information Systems

  
  • CIS 206 - Advanced Applications:

    1 credit
    The use of specific computer applications such as operating systems, word processing, spreadsheets, databases, graphics, integrated packages, communications packages and hardware topics. Prerequisite(s): CSC 105  
  
  • CIS 207 - Advanced Applications: Spreadsheets

    1 credit
    This course covers use of advanced features in a common spreadsheet application. Prerequisite(s): CSC 105  
  
  • CIS 208 - Advanced Applications: Database

    1 credit
    This course covers use of advanced features in a common database application. Prerequisite(s): CSC 105  
  
  • CIS 209 - Advanced Applications: SAS

    1 credit
    This course covers use of advanced features in a common statistics application. Prerequisite(s): CSC 105  
  
  • CIS 210 - QuickBooks I

    1 credit
    This course is designed to teach students how to use many of the features available in QuickBooks Financial software for Windows.  The main focus of the course is to learn how to utilize the various functions of QuickBooks to record daily business transactions and ultimately to prepare financial statements. Prerequisite(s): CSC 105  
  
  • CIS 211 - QuickBooks II

    1 credit
    An advanced course that is designed to teach students how to use many of the features available in QuickBooks Financial Software for Windows.  The main focus of the course is to learn how to utilize the various functions within QuickBooks to record daily transactions and ultimately to prepare financial statements. Prerequisite(s): CIS 210  
  
  • CIS 251 - Business Applications Programming

    3 credits
    Emphasis on logical design and structured programming techniques. Writing, debugging and testing business programs. Prerequisite(s): CSC 150  
  
  • CIS 275 - Web Application Programming I

    3 credits
    An introduction to the languages used to develop web applications with focus on client-side technologies.  Topics include, but are not limited to, web programming practices, HTML, CSS, JavaScript, and modern frameworks to support client-side web development. Prerequisite(s): CIS 123   or CIS 130  or CSC 150  
  
  • CIS 277 - OS Interfaces and Utilities

    3 credits
    Concepts and techniques of interfacing programs with an operation system using Job Control Language. Use of storage devices using vendor supplied utilities. Prerequisite(s): CIS 330  Corequisite(s): CIS 331 
  
  • CIS 291 - Independent Study

    1-5 credits


    Students complete individualized plans of study which include significant one-on-one student-teacher involvement.  The faculty member and students negotiate the details of the study plans.  Enrollments are usually 10 or fewer students.  Meetings depend upon the requirements of the topic.

     

  
  • CIS 292 - Topics

    1-5 credits


    A course devoted to a particular issue in a specified field. Course content is not wholly included in the regular curriculum. Guest artists or experts may serve as instructors. Enrollments are usually limited with significant one-on-one student-teacher involvement.

     

  
  • CIS 325 - Management Information Systems

    3 credits
    Introduction to the application of information technology in organizations, roles of managers and staff professionals in developing and using information systems with current and future technology.
  
  • CIS 330 - COBOL I

    3 credits
    Introduction to structured COBOL programming: input, output, and reformatting; arithmetic program design; report writing; intrinsic functions; conditional branching; condition-name; iteration; control breaks; program maintenance; validity checking; and interactive programming. Prerequisite(s): CIS 251  or CSC 150  or CSC 250 
  
  • CIS 331 - COBOL II

    3 credits
    Advanced structured COBOL programming with arrays; table look-ups; subprograms; sequential file processing; sorting and merging; indexed file processing; text manipulations; debugging; and on-line applications. Prerequisite(s):  
  
  • CIS 332 - Structured Systems Analysis and Design

    3 credits
    The study of the Systems Development Life Cycle, including strategies and techniques of structured analysis, planning and design, testing and implementation is stressed.  Case studies will be used along with hands-on application of concepts. Prerequisite(s): CIS 130  or CIS 123  or CSC 150  
  
  • CIS 338 - Project Management

    3 credits
    A study of the principles and techniques used in management project. Project management software will be used.
  
  • CIS 340 - Java Programming

    3 credits
    An in-depth exploration of the Java programming language that will include the graphical user interfaces, multi-threaded programs, and Android development. Prerequisite(s): CSC 260 
  
  • CIS 350 - Computer Hardware, Data Communications and Networking

    3 credits
    An introduction to computer hardware, data communications, and networking fundamentals and theory. Computer design, components, voice and data communications and LAN design and operation issues are addressed in both lecture and hands-on formats. Emphasis is given to network design using the OSI model as well as network operations and setup issues.
  
  • CIS 361 - Advanced Programming for Business Applications

    3 credits
    This course will emphasize advanced topics of business programming using contemporary development tools. Additional topics may include: objects, databases, multithreading, error trapping and web-based applications. Prerequisite(s): CIS 251 
  
  • CIS 368 - Predictive Analytics

    3 credits
    This course provides a broad understanding of the role of predictive analytics for decision-making in different application domains.  Students will be exposed to a number of predictive analytics techniques such as regression, neural networks, support vector machines, clustering and association rules. Prerequisite(s): CIS 372  and BADM 220  or MATH 281  
  
  • CIS 372 - Programming for Analytics

    3 credits


    An introduction to programming for data analysis with an emphasis on the analysis of large datasets.  A programming language common to the analytics industry will be utilized.

      Prerequisite(s): CIS 123  or CIS 130  or CSC 150  

  
  • CIS 375 - Web Application Programming II

    3 credits


    An introduction to the languages used to develop web applications with focus on server-side technologies.  Topics include issues common to the development of web applications, such as data-driven content, security, and architecture.

      Prerequisite(s): CIS 275  or MCOM 351  

  
  • CIS 384 - Decision Support Systems

    3 credits
    A study of the decision process, including the gathering, analysis, and application of data. Prerequisite(s): CIS 325  
  
  • CIS 424 - Software Development with Agile Methodologies

    3 credits
    Agile methodologies are alternate means of managing the development of software systems.  Agile methodologies include but are not limited to Scrum, Extreme Programming, Lean programming and Kanban.  This course is a survey of agile methodologies and processes that will be encountered in the software development environment. Prerequisite(s): CIS 332  and CIS 251  or CSC 250  
  
  • CIS 427 - Information Systems Planning and Management

    3 credits
    A study of financial, technical and strategic information systems planning process. Emphasis will be placed on the relationship of information systems to the overall business planning. Prerequisite(s): CIS 332  or CIS 325 
  
  • CIS 438 - Advanced Project Management

    3 credits
    Advanced Project Management involves the application of knowledge, skills, tools and techniques for completing a project on time, within budget, and meeting quality requirements.  The course will integrate concepts and techniques to identify, understand and propose solutions to the problems encountered in Project Management.  The course emphasizes the Project Management Institutes Body of Knowledge as it provides project managers with the fundamental practices needed to achieve organizational results and excellence in the practice of project management. Prerequisite(s): CIS 338 
  
  • CIS 447 - Artificial Intelligence

    3 credits
    Concepts in Artificial Intelligence: programming in languages such as Prolog or LISP; knowledge representation; search algorithms. Prerequisite(s): CSC 250 
  
  • CIS 474 - Business Intelligence and Big Data

    3 credits
    This course introduces the main concepts, components, and various architectures of business intelligence systems.  It also provides a broad understanding of the principles underlying Big Data analytics and its applications in different domains using a hands-on approach with a state-of-the-art Big Data platform. Prerequisite(s): CIS 251  or CSC 250  
  
  • CIS 476 - Web Development Environments

    3 credits
    This course will study modern web development environments.  Emphasis will be placed on alternatives to the environments covered in CIS 375 . Prerequisite(s): CIS 375 
  
  • CIS 484 - Database Management Systems

    3 credits
    The study of formalized database design. This course will focus on relational model design and the use of SQL. Students will use a modern relational database to implement designs and learn the basics of data management.
  
  • CIS 487 - Database Programming

    3 credits
    Provides hands-on experience with procedural extensions to SQL. Topics include data control languages, control structures, exception handling stored procedures, triggers, cursors, and cursor processing. Prerequisite(s): CIS 484 
  
  • CIS 491 - Independent Study

    1-4 credits


    Students complete individualized plans of study which include significant one-on-one student-teacher involvement.  The faculty member and students negotiate the details of the study plans.  Enrollments are usually 10 or fewer students.  Meetings depend upon the requirements of the topic.

     

  
  • CIS 492 - Topics

    1-5 credits
    A course devoted to a particular issue in a specified field. Course content is not wholly included in the regular curriculum. Guest artists or experts may serve as instructors. Enrollments are usually limited with significant one-on-one student-teacher involvement.
  
  • CIS 494 - Internship

    1-8 credits
    Applied, monitored and supervised, field-based learning experience for which the student may or may not be paid. Students gain practical experience; they follow a negotiated and or directed plan of study. A higher level of supervision is provided by the instructor in these courses than is the case with field experience courses. Prerequisite(s): Consent of the instructor
  
  • CIS 498 - Undergraduate Research/Scholarship

    1-6 credits
    Independent research problems/projects or scholarship activities.  The plan of study is negotiated by the faculty member and student.  Contact between the two may be extensive and intensive.  Does not include research courses which are theoretical.

Computer Science

  
  • CSC 105 - Introduction to Computers

    3 credits
    Overview of computer applications with emphasis on word processing, spreadsheets, database, presentation tools and internet-based applications.
  
  • CSC 134 - Introduction to Cyber Operations

    3 credits
    This course will introduce students to cyber operations principles including, but not limited to, wireless communications, legal issues, applied cryptography, and user experience.  Special attention will be paid to the legal authorities necessary when conducting a cyber operation from the military and government perspectives, and how they differ from consumer-level legal ramifications of cyber attacks.
  
  • CSC 145 - Information Security Fundamentals

    3 credits
    Introductory course in which students explore the principles of information assurance, with emphasis on current threats and vulnerabilities to develop an information security plan to mitigate risk. Information security and assurance issues are explored and a multidisciplinary approach is discussed that examines security policies, models, and mechanisms for confidentiality, integrity, and availability. Theory/Lab.
  
  • CSC 150 - Computer Science I

    3 credits
    An introduction to computer programming. Focus on problem solving, algorithm development, design, and programming concepts. Topics include sequence, selection, repetition, functions, and arrays.
  
  • CSC 163 - Hardware, Virtualization, and Data Communication

    3 credits
    This course will provide students with a broad understanding of computer hardware, computer architecture, virtualization, and data communications.
  
  • CSC 230 - Tech Foundations: Ethics

    1 credit
    A study of the importance of ethics in the computer security field. Topics will include vulnerability disclosure, differences between black-hat and white-hat hacking, legal ramifications of computerized system exploitation, security inspection, and best practices for ethical hacking.
  
  • CSC 231 - Tech Foundations: Linux

    1 credit
    A study of the Linux operating system to introduce commands and uses. Special attention will be paid to choosing, installing, and configuring a Linux distribution. Command line input, differences between Linux and Windows operating systems, and installing software will be stressed.
  
  • CSC 232 - Tech Foundations: Scripting

    1 credit
    A study of the role of scripting programming as a mechanism to control several aspects of a technology infrastructure. Special attention will be paid to optimization and customization of scripts related to users, network storage and access, and roles within the enterprise.
  
  • CSC 234 - Software Security

    3 credits
    This course will make use of hands-on exercises in compiled and web-based software to illustrate attack methodologies and techniques that lead to software vulnerabilities that violate fundamental security principles.  Attacks and mitigation strategies related to filter evasion, session management, input validation, buffer overflows, and related areas will be emphasized. Prerequisite(s): CSC 250  
  
  • CSC 249 - Computer Science I Revisited

    1 credit
    An accelerated coverage of the topics from Computer Science I.  Focus on problem solving, algorithm development, design, and programming concepts.  Topics include sequence, selection, repetition, functions, and arrays.  Designed for students with previous credit for CSC 150 or equivalent that need a bridge course to be prepared for CSC 250. Prerequisite(s): CSC 150  
  
  • CSC 250 - Computer Science II

    3 credits
    Problem solving, algorithm design, standards of program style, debugging and testing. Extension of the control structures and data structures of the high-level language introduced in CSC 150 . Elementary data structures and basic algorithms that include sorting and searching. Topics include more advanced treatment of functions, data types such as arrays and structures, and files. Prerequisite(s): CSC 150 
  
  • CSC 260 - Object Oriented Design

    3 credits
    This course emphasizes object-oriented programming methodologies. An object-oriented language will be used to illustrate these OO concepts. The Unified Modeling Language (UML) will be introduced. Prerequisite(s): CSC 250  or CIS 251  
  
  • CSC 274 - Creative Coding

    3 credits
    This course explores fundamental programming concepts and provides students with the tools they need to apply programming to their own creative practice.  It examines ways in which coding can be used artificially to create something expressive rather than only functional.  Students will investigate how they can utilize programming to open new opportunities and adapt to changing technologies. Prerequisite(s): CSC 150  
  
  • CSC 285 - Networking I

    3 credits
    LAN topologies, media choices, protocols and transmission techniques are addressed. Overview of LAN planning and installation considerations. LAN hardware and software offerings and problem determination procedures are presented.
  
  • CSC 291 - Independent Study

    1-5 credits
    Students complete individualized plans of study which include significant one-on-one student-teacher involvement.  The faculty member and students negotiate the details of the study plans.  Enrollments are usually 10 or fewer students.  Meetings depend upon the requirements of the topic.
  
  • CSC 292 - Topics

    1-5 credits
    A course devoted to a particular issue in a specified field. Course content is not wholly included in the regular curriculum. Guest artists or experts may serve as instructors. Enrollments are usually limited with significant one-on-one student-teacher involvement.
  
  • CSC 300 - Data Structures

    3 credits
    A systematic study of data structures and the accompanying algorithms used in computing problems; structure and use of storage; methods of representing data; techniques for implementing data structures; linear lists; stacks; queue; trees and tree traversal; linked lists; and other structures. Prerequisite(s): CSC 250 
  
  • CSC 310 - Advanced Data Structures

    3 credits
    Describe and implement a variety of new and advanced data structures not studied in typical introductory courses on data structures and algorithms. Prerequisite(s): CSC 300  
  
  • CSC 314 - Assembly Language

    3 credits
    A thorough introduction to assembly language programming and processor architecture. A study of low-level programming techniques, and the layout of a typical computer. The student will gain insight into the memory layout, registers run-time stack, and global data segment of a running program. Prerequisite(s): CSC 250 
  
  • CSC 317 - Computer Organization and Architecture

    3 credits
    A course in computer organization with emphasis on the hierarchical structure of computer systems. Covers such topics as: components of computer systems and their configuration, design of basic digital circuits, the microprogram level, the conventional machine level, the operating system level, assembly language, address modes, interpreters/translators, computer arithmetic. Prerequisite(s): CSC 314  
  
  • CSC 321 - Information Security Management

    3 credits
    Students will learn the fundamental concepts in managing information protection in an organization.  The course will review information security programs, security policies and procedures, as well as investigate disaster recovery, security awareness and I.T. auditing concepts.  In addition, students will understand and interpret current regulatory bodies that influence businesses from an IT security standpoint.  This is a writing-intensive course which will provide students multiple opportunities to document information security decisions for an organization to operationalize.  Prerequisite(s): Completed 30 credit hours.
  
  • CSC 328 - Operating Environments

    3 credits
    This course examines the role of the operating system in computer operations.  Current operating environments include Windows, UNIX/Linux, and similar operating environments are studied from a theoretical and hands-on perspective.
  
  • CSC 333 - Tech Foundations: Emerging Topics

    1 credit
    A study of current and noteworthy topics within the technology domain that will further prepare students for a professional career. Prerequisite(s): CSC 250  
  
  • CSC 364 - Virtualization

    1 credit
    A study of the virtualization of computer systems at home and in an enterprise through a hands-on exploration of common hypervisors and containerization implementations including interaction with cloud-based resources.
  
  • CSC 374 - Interdisciplinary Coding

    3 credits
    This collaborative project-based course challenges students to apply programming to their primary field of study.  As part of an interdisciplinary team, students will complete several projects mentored by a group of faculty from computer science as well as the application discipline. Prerequisite(s): CSC 274  
  
  • CSC 385 - Networking II

    3 credits
    This course takes an in-depth look at TCP/IP’s layered architecture and the role its various protocols play in network communication.  Protocol analyzers are used to examine the operation and message sequences for all key data-link, network, and transport layer protocols.  Fundamental networking issues such as connection establishment/teardown and handshaking, congestion and flow control, and multiplexing are addressed.  The course also includes a significant IPv6 component: IPv6 addressing, automatic addressing facilities, IPv6 header architecture, MTU and packet handling, IPv6 routing, ICMPv6, and NDP in IPv6. Prerequisite(s): CSC 285  
  
  • CSC 386 - Machine Learning Fundamentals

    3 credits


    This course will provide students with an understanding of algorithms and computational techniques associated with machine learning by studying their structure and applying that knowledge to examples.  A wide variety of topics from supervised, unsupervised, and reinforcement learning will be covered.

      Prerequisite(s): CSC 250  

  
  • CSC 387 - Routing and Switching

    5 credits
    Students will learn to design, configure, implement and troubleshoot multiple LAN/WAN network technologies using enterprise routers, switches, and firewalls.  In addition, students will demonstrate an in-depth understanding of the underlying protocols.  The class will incorporate lectures and hands-on lab projects using modern routing and switching equipment from varying vendors.  Students will learn to analyze business needs and recommend appropriate network and routing solutions regardless of the network size or complexity. Prerequisite(s): CSC 385  
  
  • CSC 388 - Computer Forensics Fundamentals

    3 credits
    This course introduces students to the foundation of public and private computer forensic investigations.  Forensic tools will be used to demonstrate the steps of a complete forensic investigation of a NTFS system. Prerequisite(s): CIS 350  or CSC 163  
  
  • CSC 402 - Mathematical Foundations of Artificial Intelligence

    3 credits
    This course will cover fundamental mathematical and computational objectives and knowledge units necessary for a student to successfully study artificial intelligence and machine learning.  Material may be taken from the included topics: partial derivatives, optimization, probability theory, linear algebra, principal component analysis, Markov chains, information theory, Bayes theory, iterative techniques, and Monte Carlo simulations. Prerequisite(s): CSC 250 , MATH 123  and MATH 281  
  
  • CSC 403 - Programming Graphical User Interface

    3 credits
    A course dealing with the issues of programming in a graphical user interface environment. In-depth programming will be done in a graphical operating system environment. Issues such as design of user interfaces, object-oriented programming and networking will be covered along with examples of other environments. Prerequisite(s): CSC 260  
  
  • CSC 404 - Foundation of Computation

    3 credits
    An overview algorithms and approaches to solving cyber operations problems, which include essential underlying concepts drawn from discrete mathematics, algorithms analysis, and finite automaton.  Topics may include, but not limited to, searching and sorting algorithms, complexity theory, regular expressions, computability, mathematical foundations of cryptography, and entropy. Prerequisite(s): CSC 300  and MATH 201  
  
  • CSC 407 - Advanced Routing and Switching

    3 credits
    Students will learn to extend basic routing and switching knowledge into applied networking applications.  The class will leverage a combination of hands on labs, lecture, and real-world problem solving.  Students will be exposed to a variety of practical applications including the implementation of large scale wireless LAN management, voice over internet protocol implementation, storage area networking technologies, IPv6, firewalling strategies, and and advanced routing protocols. Prerequisite(s): CSC 387  
  
  • CSC 410 - Parallel Computing

    3 credits
    The fundamental ideas and issues involved in programming and using parallel computers. This course will cover topics in the design, analysis, and implementation of parallel algorithms.  Environments discussed and used may include a variety of shared-memory and message passing models, cluster computing, and GPU computing.  Prerequisite(s): CSC 300  
  
  • CSC 418 - Advanced Computer Forensics

    3 credits
    This course will analyze the impact that portable devices have in a digital forensic investigation.  Current portable devices, such as mobile phones and tablets will be forensically analyzed.  Prerequisite(s): CSC 388  
  
  • CSC 419 - Advanced Windows Forensics

    3 credits
    The course provides an advanced examination of the forensic artifacts found on NTFS file system using a variety of commercial and open source methods and tools to investigate any event for the workplace.  The course focuses on methods that ensure maximum evidence capture without altering key forensic evidence found in memory and disk space.  Special attention will be placed on RAM analysis, Internet Artifacts and the Windows Registry. Prerequisite(s): CSC 388  
  
  • CSC 420 - Cellular and Mobile Communications

    3 credits
    As more communications are conducted via mobile and cellular technologies, these technologies have become critical to both industry and private life.  This course covers how data is processed and transmitted using mobile and wireless devices.  Topics include but are not limited to: an overview of smart phone technologies, embedded operating systems, wireless and mobile specific protocols, mobile identifiers, location based services and more. Prerequisite(s): CSC 285  and MATH 114  or MATH 104  or MATH 115  or MATH 120  or MATH 121  or MATH 123  or MATH 201  
  
  • CSC 428 - Reverse Engineering

    3 credits
    This course provides fundamental knowledge of secure software development methodologies and applied security topics related to compiled programs. In-depth coverage of source code auditing, fuzzing, introduction to reverse engineering, and exploitation will be emphasized. Prerequisite(s): CSC 314  
  
  • CSC 430 - Windows Administration

    3 credits
    This course gives students a solid foundation in the operation of Microsoft Windows-based networks. Representative topics include implementing Dynamic Host Configuration Protocol (DHCP); implementing and managing the DNS Service; remote access; routing; security templates; and troubleshooting network connectivity. The course has a significant hands-on component and is designed to provide you with practical skills that you will need as a Microsoft networking professional. Prerequisite(s): CSC 328  and CSC 285  
  
  • CSC 431 - UNIX/Linux Administration

    3 credits
    This course prepares students to perform basic administration, networking, and security-oriented tasks on UNIX/Linux-based servers. This course has a significant hands-on component that utilizes both the command line and graphical user interface (GUI) environments. Topics include the vi editor, shell scripting, process management, file system management, network configuration, user account management, and troubleshooting. Prerequisite(s): CSC 328   and CSC 285  
  
  • CSC 432 - Malware Analysis

    3 credits
    This course provides fundamental knowledge of Malware analysis.  Topics include an introduction to both static and dynamic techniques for analyzing unknown binaries.  Students will be exposed to advanced malware concepts including malware detection as well as the utilization of industry standard tools to analyze, debug, and reverse engineer unknown binaries. Prerequisite(s): CSC 428  
  
  • CSC 433 - Computer Graphics

    3 credits
    Graphical programming concepts. Display media and device characteristics. Point, line. and circle plotting. Coordinating systems and transformations. Polygon clipping and filling. Spline methods, hidden surface elimination, and shading. Prerequisite(s): CSC 300  
  
  • CSC 436 - Offensive Network Security

    3 credits
    This course provides theoretical and practical aspects of Network Penetration Testing. The course includes in-depth details and hands on labs for each of the five distinct phases of an ethical hack including reconnaissance, scanning and vulnerability assessment, gaining access and exploitation, maintaining access, and covering tracks. An applied approach with a focus on current tools and methodologies will be stressed. Prerequisite(s): CSC 328  and CSC 385  
  
  • CSC 437 - Survey of Enterprise Systems

    3 credits
    This course exposes students to a hands-on environment leveraging common platforms. The course will expose students to concepts that relate to enterprise level vitalization which include cloud computing, disaster recovery, virtualization hardware, database, resource planning, and security.  In order to fulfill these areas, students will be exposed to several tools and services that a network administrator would need to be familiar with such as web servers, load balancing, database management and email services.  Students will learn to budget for and evaluate systems as required in order to support an organization’s mission. Prerequisite(s): CSC 385  and CSC 163  
  
  • CSC 438 - Defensive Network Security

    3 credits
    This course provides theoretical and practical aspects to firewalls and intrusion detection systems. Topics include configuration, implementation, rule creation, filtering, and other state-of-the-art developments. Intrusion detection topics will provide both host based and network based exposure while firewalling concepts will include the use of both application and enterprise level devices. Prerequisite(s): CSC 385 
  
  • CSC 439 - Threat Hunting and Incident Response

    3 credits
    This course studies the phases of responding to a cyber security incident which includes detecting how the breach happened, identifying compromised systems, containing incidents, and hunting down additional breaches.  The course will expose students to sate-of-the-art incident response tools and techniques in areas including log-based analysis, network analysis, network forensics, and memory forensics.  Students will develop an effective incident response plan with special focus on the technical components of identifying, containing, and eradicating threats during an active incident. Prerequisite(s): CSC 328  and CSC 385  
  
  • CSC 443 - Scripting for Network Administration

    3 credits
    This course uses current operating environments to teach the basic techniques for scripting administrative tasks that are required over modern computer networks.  Topics include scripting languages, automation of command line utilities, and connecting to remote scripting hosts. Prerequisite(s): CSC 328  
  
  • CSC 447 - Artificial Intelligence

    3 credits
    Concepts in Artificial intelligence: programming in languages such as Prolog or LISP; knowledge representation; search algorithms. Prerequisite(s): CSC 250  
  
  • CSC 451 - Mobile Development Environments

    3 credits
    This course will examine modern mobile development environments and require students to develop multiple sample applications.  Each term, the course will focus on a specific development paradigm. Prerequisite(s): CSC 260 
  
  • CSC 455 - Software Development Environment & Tools

    3 credits
    A study of tools, methods, and environments that augment or automate the activities comprising the software development cycle, including programming-in-the-large tasks such as configuration management, testing, version control, and deployment and programming-in-the-many tasks such as project and team management.  Programming and other applied projects will be required. Corequisite(s): CSC 300  
  
  • CSC 456 - Operating Systems

    3 credits
    A study of the functions and structures associated with operating systems with respect to process management, memory management, auxiliary storage management, and processor management. Topics include concurrent and distributed computing, deadlock, real and virtual memory, job and processor scheduling, security and protection. Prerequisite(s): CSC 300  and CSC 314 
  
  • CSC 460 - Scientific Visualization

    3 credits
    Topics in the visualization of scientific concepts. The graphical capabilities of the computer will be used to visualize difficult and abstract constructions in mathematics and science. Prerequisite(s): CSC 300 
  
  • CSC 461 - Programming Languages

    3 credits
    This course consists of two parts. The first part introduces how programming languages are designed, including an introduction to the concepts of parsing and compiling. Issues related to implementation such as type checking, binding, and memory management are discussed. Secondly, the course will survey the spectrum of programming languages paradigms, including traditional imperative, object oriented, functional, and logic languages. Prerequisite(s): CSC 300  
  
  • CSC 466 - Language Processing

    3 credits
    A study of computer language processing through the activities of language design, specification, and translation. Computer language processing tools (compiler construction tools) will be used to demonstrate many of the concepts. The scanning, parsing, semantic analysis and code generation phases of compilation will be studied. Theoretical concepts including grammars and automata will be introduced. Programming projects will be required. Prerequisite(s): CSC 300 
  
  • CSC 470 - Software Engineering

    3 credits
    An introduction to the software engineering process, including lifecycle phases, problem analysis, specification, project estimation and resource estimations, design, implementation, testing/maintenance, and project management. In particular, software validation and verification as well as scheduling and schedule assessment techniques will be discussed. Prerequisite(s): CSC 300 
  
  • CSC 478 - Generative Deep Learning

    3 credits
    This course aims to discover how to re-create some of the most impressive examples of generative deep learning models, such as variational auto-encoders, generative adversarial networks (GANs), encoder-decoder models, and world models.  It also aims to explore GANs to study important real-world applications, including image/video manipulation and generation, offense attacks and countermeasures, risk and recovery in healthcare and pharmacology, and so on. Prerequisite(s): CSC 386  
  
  • CSC 479 - Reinforcement Learning

    3 credits
    This course will cover the topic of Reinforcement Learning with a focus on application and projects.  Students will review the different algorithms and applicable data structures available in this field.  Following the review, a wide range of scenarios where Reinforcement Learning can be applied will be explored and analyzed in order to give students the ability to identify these situations in the real world and apply their knowledge. Prerequisite(s): CSC 386  and CSC 402  
  
  • CSC 482 - Algorithms and Optimization

    3 credits
    This course will study computer algorithms, their performance, and techniques for optimizing algorithm implementation. A variety of algorithms including search, sorting, and graph algorithms will be examined. Tools and methods for analyzing and measuring both theoretical and practical performance will be studied. Techniques for improving the performance of implementations of the algorithms will be examined. Prerequisite(s): CSC 260 , CSC 300  and MATH 316  (concurrent registration with MATH 316 allowed)
  
  • CSC 486 - Data Mining Methods

    3 credits
    Study of analytic processes which explore data (especially very large data sets) for consistent patterns or systematic relationships, along with the study of methods for preparing data for analysis and validating the results of such analysis. The course will focus on processes, techniques, and algorithms for data mining, rather than applications. Data mining phases will be studied, including: data preparation, initial exploration, model building, model validation, and deployment. Prerequisite(s): CSC 300  and MATH 281  or MATH 381  
  
  • CSC 491 - Independent Study

    1-4 credits


    Students complete individualized plans of study which include significant one-on-one student-teacher involvement.  The faculty member and students negotiate the details of the study plans.  Enrollments are usually 10 or fewer students.  Meetings depend upon the requirements of the topic.

     

  
  • CSC 492 - Topics

    1-5 credits
    A course devoted to a particular issue in a specified field. Course content is not wholly included in the regular curriculum. Guest artists or experts may serve as instructors. Enrollments are usually limited with significant one-on-one student-teacher involvement.
  
  • CSC 494 - Internship

    1-8 credits
    Applied, monitored and supervised, field-based learning experience for which the student may or may not be paid. Students gain practical experience; they follow a negotiated and or directed plan of study. A higher level of supervision is provided by the instructor in these courses than is the case with field experience courses. Prerequisite(s): Consent of the instructor
  
  • CSC 498 - Undergraduate Research/Scholarship

    1-6 credits
    Independent research problems/projects or scholarship activities.  The plan of study is negotiated by the faculty member and student.  Contact between the two may be extensive and intensive.  Does not include research courses which are theoretical.

Cyber Leadership & Intelligence

  
  • CLI 101 - Introduction to Cyber Leadership

    3 credits
    The course will introduce students to concepts, issues, and methods relevant to the Cyber Leadership and Intelligence major.  Students will explore relevant issues and learn how to assess risks, understand threats, and explore fundamental leadership concepts.
  
  • CLI 242 - Disciplinary Analysis and Methods

    3 credits
    Introduces the varied methods of inquiry within the emerging fields of cyber leadership and security management, comparing and contrasting how questions are asked and evidence is weighed.  Also exposes students to primary and secondary source research and proper presentation on topics of cyber leadership and security management.
 

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