A. Prerequisite: Completion of all academic readiness requirements. Introduction to computational thinking through the exploration of code, its place in our lives, and the use of code for problem-solving. A beginning programming language will be used to explore key coding concepts such as making decisions and repetition.

I, II. Prerequisite: a grade of “C” or higher in both CSC 185 and CSC 190. Introduction to computer game design, frame based animation, sound effects, program logic, game scripting, and object oriented programming.

A. Prerequisite: MAT 112 A/B or higher with a grade of "C" or higher, or a minimum score of 22 on the mathematics portion of the ACT, or a minimum score of 530 on the math portion of the SAT, or a passing grade of the math Algebra placement test. Introduction to problem solving with computers and the Internet using an appropriate programming language. Basic concepts include data types, objects, control structures, functions, and input/output features. Gen. Ed. VII (QS).

A. Prerequisite: MAT 112 or 112B or 114 with a grade of “C” or better, or Math ACT score of 23 or higher, or Math SAT score of 560 or higher. Introduction to game programming using Python. Programming concepts including data types, input/output, and control structures will be introduced through the construction of various types of 2-D games. 3 Lecture/Lab.

I, II. Prerequisite: MAT 122 or higher with a minimum grade of C, a minimum score of 25 on the mathematics portion of the ACT, or a minimum score of 590 on the math portion of the SAT. Introductory programming for scientific and engineering applications, input/output, decision, loops, arrays, subroutines, functions, files and simulation. Gen. Ed. VII (QS).

I, II. Prerequisite: MAT 112 A/B or higher with a grade of "C", or a minimum score of 22 on the mathematics portion of the ACT, or a minimum score of 530 on the math portion of the SAT, or a passing score on a math Algebra placement test. Introduction to programming in the event driven/graphical programming language Visual Basic. Topics include forms, common controls/objects, coding, procedures, file management and developing Windows applications. Gen. Ed. VII (QS).

A. Prerequisite: Minimum ACT Math score of 19, Minimum SAT math score of 510, or completion of MAT 105 or higher with a “C” or higher grade. Introduction to selected topics in computer science. May be retaken to a maximum of nine hours, provided the topics are different.

I, II. Prerequisite: MAT 122 or higher with a grade of "C" or higher, or a minimum score of 25 on the mathematics portion of the ACT, or a minimum score of 590 on the math portion of the SAT. Introduce basic mathematical structures and logical principles for computer science. Practice step-by-step problem solving in support of good algorithm design and verification practices. Topics include basic counting, sequences, series and recurrence relations.

(3) A. Prerequisite: MAT 122 or higher (minimum grade of C) or a minimum of 25 on the mathematics portion of the ACT or a minimum of 590 on the mathematics portion of the SAT. Introduction to the computing concepts and programming. Topics include numbering systems, computing system concepts, problem solving with computers using an object-oriented programming language. 2 Lec/2 Lab.

I, II. Prerequisite: MAT 122 or higher with a grade of "C" or higher, a minimum of 25 on the mathematics portion of the ACT or a minimum of 590 on the mathematics portion of the SAT. Introduction to problem solving with computers using an object-oriented programming language. Concepts include data types, input/output, classes, control structures, and arrays. 3 Lec/2 Lab. Gen. Ed. VII (QS).

I, II. Prerequisite: a minimum grade of "C" in both CSC 185 and CSC 190. Object-oriented programming, recursion, arrays, inheritance, file input/output, exception handling, multi-thread programming, GUI, object-oriented analysis and design. 3 Lec/2 Lab.

I, II. Prerequisites: a minimum grade of "C" in both CSC 185 and CSC 190. Develop foundation and analysis technique in mathematical structures for computing. Topicsinclude sets, relations, functions; logic; algorithm design/ analysis, recursive algorithms, recurrence relations, mathematical induction, counting, probability. 3 Lec/2 Lab.

(3) A. Prerequisite: A minimum grade of “C” in CSC 189 or CSC 190. Object-oriented programming, inheritance, arrays, stacks, queues, trees, hashing,recursions, and exception handling. 3 Lec/2 Lab.

A. Prerequisite: CSC 190 with a minimum grade "C". Introduction to multimedia programming and scripting. Topics include frame-based animation, video editing, sound effects, program logic, and object-oriented programming. Credit will not be awarded to student who have credit for for CSC 140.

I, II. Prerequisite: CSC 191 with a minimum of grade of ¿C-¿. Introduction to computer system environments, utilities, system programming, system administration, networking and operating systems.

A. Prerequisite: CSC 191 with a minimum grade of ¿C-.¿ Responsibilities of the computing professional, social implications of computing, privacy, crime and abuse, risk and liabilities, copyright, and patents.

Prerequisite: A minimum grade of "C" in CSC 191 and CSC 195 or in CSC 210. Introduction to developing mobile applications for Apple iOS. Topics include development tools, APIs, user interfaces, mobile-specific technologies and application design.

(3) A. Prerequisite: A minimum grade of "C" in CSC 191 and CSC 195 or in CSC 210. Introduction to developing mobile device web sites and applications for Android. Topics include development tools, APIs, user interfaces, mobile-specific technologies and application design.

I, II. Prerequisites: CSC 191 and CSC 195 with a minimum grade of C in both. The application and implementation of data structures including arrays, stacks, queues, linked lists, and trees. Internal searching and sorting techniques. The analysis of algorithms.

A. Prerequsites: CSC 191, CSC 195, and MAT 234 or MAT 234H with a grade of "C" or better in all three courses. Logic and proof, mathematical induction; order of magnitude, recurrence, relations, analysis of recursivec algorithmns; Boolean algebra and logic networks, networks for adding, merging and sorting; matrices; finite state machines, push-down automata, linear bound automata, Turing machines; formal languages.

I, II. Prerequisite: CSC 310 with a minimum grade of ¿C-.¿ File organization and file storage devices. Topics include external sorting, sequential file processing, hashing, B+ trees, and introduction to databases.

A. Prerequisite: A minimum grade of "C" in CSC 191 and CSC 195 or in CSC 210. Introduction to databases, storage and retrieval of data, report generation, interface and application development, online queries, XML, multimedia database, and database security.

A. Prerequisite: CSC 191 and CSC 195 with a grade of "C" or better in both courses. An introduction to geometric representations in 3D. Topics include polygon and spline modeling, texture mapping, materials, 3D scanning, and topics in animation including character rigging.

A. Prerequisite: A grade of "C" or higher in CSC 310. Introduction to 3D animation and programming. Topics include coordinate systems, vertics, lines, polygons, geometric objects, 3D models, motion control, and interaction design.

A. Prerequisites: CSC 310 and 311 with a minimum grade of "C" in both courses.Fundamental algorithms required in computer science; algorithm design/analysis methods, graph algorithms, probabilistic and parallel algorithms, and computational models.

A. Prerequisite: A minimum grade of "C" in CSC 191 or in CSC 210. Introduction to computer system environments, utilities, system administration, and networking.

A. Prerequisite: a minimum grade of "C" in CSC 210 or CSC 310. Introduction to digital storage forensics. Topics include digital investigation fundamentals, fundamentals of storage devices (hard disk, optical, flash, consumer electronics devices, and mobile devices), disk volume analysis, and file systems analysis (FAT/NTFS, Ext 2/3/4, UFS 1/2, HFS/HFS+/HFSX).

Pre-requisite: A minimum grade of “C” in CSC 210 or CSC 310. This course discusses the fundamentals of cybersecurity. Topics include information security principles, network and Internet basics, hacker techniques, cybersecurity technologies, encryption, security policies, cyber terrorism and information warfare, cyber detective, digital forensics, cybersecurity engineering, and society security.

A. Prerequisite: CSC 310 and 313 with a minimum grade of "C" in both courses. Responsibilities of software professionals, social implications of software such as privacy, crime and abuse, risk and liabilities, copyright, and patents, software project planning, software requirements analysis, software design, and software testing.

I, II; (1-6) SUMMER ONLY. Prerequisite: students must have successfully completed 30 semester hours of course work including six hours of Computer Science major courses. In addition, transfer students must have completed at least one semester of full-time course work at EKU. Work in placements related to academic studies. A maximum of three hours may be applied toward the Computer Science technology option degree only. Credit does not apply to general Computer Science major or minor requirements. Total hours: eight, associate; sixteen, baccalaureate. A minimum of 80 hours of employment is required for each semester hour of academic credit. Credit may only be awarded in the semester in which the work is completed.

I, II; (1-6) SUMMER ONLY. Prerequisite: students must have successfully completed 30 semester hours of course work including six hours of Computer Science major courses. In addition, transfer students must have completed at least one semester of full-time course work at EKU. Work in placements related to academic studies. A maximum of three hours may be applied toward the Computer Science technology option degree only. Credit does not apply to general Computer Science major or minor requirements. Total hours: eight, associate; sixteen, baccalaureate. A minimum of 80 hours of employment is required for each semester hour of academic credit. Credit may only be awarded in the semester in which the work is completed.

Work in placements related to academic studies.

Work in placements related to academic studies.

Work in placements related to academic studies.

Work in placements related to academic studies.

Work in placements related to academic studies.

Work in placements related to academic studies.

Work in placements related to academic studies.

I, II. Prerequisites: CSC 200and 310 with a minimum grade of "C" in both courses. The principles used in the design and implementation of programming languages. Language descriptions, structural implementations, and specialized features of languages.

(3) A. Prerequisite: CSC 191 with a minimum grade of "C" or CSC 210. Information representation, instruction set architevture, assembly language, instruction execution, basic processing units, input/ouput organization, memory and storage organization, overlap and pipeline processing, parallel processing, and performance evaluation. Credit will not be awarded for both CSC 360 and 370.

A. Prerequisite: CSC 191, with a minimum grade of "C." Advanced programming with a selected programming language, with appropriate applications. May be taken to a maximum of six hours, provided the languages are different.

I, II. Prerequisites: CSC 310 and 360 with a grade of "C" or higher in both courses. Overall structure of multiprogramming systems, details of addressing techniques, memory-management, file system design and management, traffic control, interprocess communication, system module design, interfaces.

A. Prerequisites: CSC 302, CSC 370 or EET 254. Technical programming in the UNIX and the Internet environments: shell scripts, TCP/IP, HTML, CGI, and JavaScript. Survey of Internet protocols.

(3) A. Prerequisite: CSC 210 or CSC 310 with a minimum grade of “C”. This course discusses the fundamentals of computer networking and cyber security. Topics include layered protocols of computer network, Internet architecture and applications, cyber security and defense technologies.

A. Prerequisite: A minimum grade of "C" in CSC 340. Techniques and tools for software requirements, software design, software testing, and software project planning as a team project for majors in computer science.

A. Prerequisite: A minimum grade of "C". in CSC 210 CSC 310. Introduction to the subject of computer networks and layered protocols, architecture of data communication systems, point-to-point networks, local networks, end-to-end protocols and internetworking, and server-side technology to create interactive web pages.

A. Prerequisite: departmental approval. For advanced students in computer science. Subject announced when offered. May be retaken to a maximum of 12 hours, provided that the topics are different.

A. Prerequisite: CSC 140 and INF 391 with a grade of "C" or higher. Level design, storyboarding, character modeling, game scripting, game interface design, audio effects, marketing, and ethics. Students will work in groups to develop a computer game term project. May be retaken to a maximum of 6 hours.

Prerequisite: Departmental approval. An individually developed project related to an innovative solution of a problem provided by the software industry. The result is to be presented in open forum. May be retaken to a maximum of 6 hours provided the topics are different.

I, II. Prerequisite: A grade of "C" or higher in ENG 102, 105 (B), or HON 102 and departmental approval. Directed study/ research on a problem or area chosen in consultation with the instructor. Final paper required. Student must have the independent study proposal form approved by faculty supervisor and department chair prior to enrollment. May be retaken to a maximum of twelve hours.

Prerequisite: CSC 340 with a minimum grade of "C". Critically evaluate current issues in computer science and effectively communicate creative ideas with professionals to foster collaborative problem solving.

A. Prerequisite: CSC 310 with a grade of “C” or better. Career preparation for students seeking internship or permanent jobs. Job search, resume creation, interview techniques for application of computer science positions. 2 Lec.

A. Prerequisite: departmental approval. Topics vary with offering. May be retaken to a maximum of six times, with advisor approval, provided the topics are different.

A. Prerequisite: A minimum grade of "C". in CSC 210 CSC 310. Integration of multimedia technologies, signal processing and compression of images, audio, and video, multimedia foresics and message hiding.

A. Prerequisite: At least a “C” in CSC 190 and 191, or equivalent courses. The application and implementation of data structures including arrays, linked lists, stacks, queues, heaps, trees and graphs and their related algorithms, using an object-oriented programming language. Credit does not apply to the B.S. degree in Computer Science or the B.S. degree in Digital Forensics and Cybersecurity.

A. Prerequisite: MAT 112, 114 or equivalent. Corequisite: CSC 530. Logic, sets, functions, Boolean algebra, probability and their applications, number theory, recursion, math induction proofs with application of these topics to computer science.

(3) A. Prerequisite: CSC 410 with a minimum grade of “C”. This course discusses the details of various aspects of cybersecurity incident response. Topics include pre-incident preparation, incident detection and characterization, data collection and analysis, and remediation.

(3) A. Prerequisite: CSC536 with a minimum grade of “C”. This course discusses cybersecurity incident response in the context of various computing platforms. Topics include dead-box analysis, memory analysis, log analysis, and malware analysis in Windows, Linux and MacOS Systems.

A. Introductory course on computer crime and forensics. Computer criminal evidence collection, analysis and handling; computer forensics tools; data acquisition; digital evidence control; Windows and Linux systems investigation; email investigation; network forensics; computer forensic report writing.

(3) A. Prerequisite: INF 322. This course covers the basic knowledge and skills necessary to analyze MAC operating system artifacts for digital evidence recovery. The topics include: MAC OS overview, GPT partitioning system, MAC system acquisition, MAC directory structure and evidence, Property lists, User logon password recovery, Safari and Firefox artifacts, iChat artifacts, Apple mail analysis, and other related topics.

(3) A. Prerequisites: Senior standing and CSC 310 with a grade of "C" or higher. The purpose of this course is to study software testing process, methods, techniques and tools. Topics include black box testing, white box testing, integration testing, acceptance testing, regression testing, performance testing, stress testing, and testing of object-oriented software.

(A). Prerequisite: INF 322 with a minimum grade of "C". This course covers the basic knowledge and skills necessary to analyze Internet-based applications artificats for digital evidence recovery. The topics include popular Web browsers, instant messengers, and social media apps.

(3) A. Prerequisite INF 322. This course covers the basic knowledge and skills necessary to analyze MS Windows operating system artifacts for digital evidence recovery. The topics include: Windows OS overview, System bitlocker, GPT file system, Windows Security Model, Windows registry, USB devices, Windows event logs, Windows recycle bin, and other related topics.

Prerequisite: A minimum grade of "C". in CSC 210 or CSC 310. This course covers database management system concepts, database system architecture, installation and setup, data management, performance monitoring and tuning, backup and recovery, database security models and management, database auditing.

A. Prerequisite: A minimum grade of "C". in CSC 210 or CSC 310. Models and principles of information systems. Database languages. The logical and physical design as well as the implementation and use of database systems.

A. Prerequisite: A minimum grade of "C" in CSC 210 or CSC 310 and STA 270. The use of programming languages to model concepts selected from artificial intelligence. The application of heuristics to problem solving. Perception and pattern recognition.

A. Prerequisites: Senior standing and CSC 400 with a grade of "C" or higher. Introduction to Windows network forensics. Topics include: Windows network structure; Windows password/authentication mechanisms; Windows ports and services; Live-anaylsis techniques; Windows registry sturcture and evidence; Forensic anaylsis of events logs; Network forensics tools and reporting.

A. Prerequisite: CSC 332 with a grade of "C" or higher. Introduction to personal electronic device forensics. Topics include architecture, functionality, operating systems implementation of PEDs (cell phones, PDAs, iPod, MP3 music players, GPS devices), recovering evidence from PEDs, and hostile forensic and booby-trapping techniques.

A. Prerequisite: CSC 332 with a grade of "C" or higher. Project course. Students apply learned digital forensic knowledge, techniques, and software and hardware tools to work on a team project on a case for digital evidence collection, handling, analysis, and reporting.

A. Prerequisites: CSC 316 with a grade of "C" or higher. 3-D geometry, model transformation, matrices, computer algorithms and protocols, texture mapping, camera control, and collision detection.

A. Prerequisite: departmental approval. For advanced students in computer science. Subject announced when offered. May be retaken to a maximum of six hours, provided that the topics are different.

(3) A. Prerequisites: A grade of “C” or higher in CSC 210 or 310 and STA 270. Introduction to Machine Learning and its core models and algorithms. Hands-on R programming experiences of using machine learning/deep learning algorithms to analyze real-world data sets.

(3) A. Prerequisites: A grade of “C” or higher in all CSC 310. Advanced cutting edge and state-of-the-arts knowledge and implementation in big data. Modern deep learning tools for analyzing real-world data sets.

(3) A. Prerequisites: CSC 310. Principles and techniques for data visualization, including visual representation methods and techniques for increasing the understanding of complex data and models. Hands-on visual programming experiences in data collection and demonstration.

A. Prerequisite: departmental approval. Topics vary with offering. May be retaken to a maximum of six hours, with advisor approval, provided the topics are different.

A. Prerequisite: admission to the master's degree program in computer science departmental approval. Integration of multimedia technologies, signal processing and compression of images, audio, and video, multimedia forensics and message hiding.

A. Prerequisites: CSC 801 or departmental approval. The application and implementation of data structures including arrays, linked lists, stacks, queues, heaps, trees and graphs and their related algorithms, using an object-oriented programming language.

A. Prerequisite: MAT 107 or departmental approval. Corequisite: CSC 730. Logic, sets, functions, Boolean algebra, probability and their applications, number theory, recursion, math induction, proofs with application of these topics to computer science. Credit does not apply toward the M.S. degree in Mathematical Sciences.

A. Prerequisites: CSC 801 or departmental approval. This course discusses the details of various aspects of cybersecurity incident response. Topics include pre-incident preparation, incident detection and characterization, data collection and analysis, and remediation.

A. Prerequisites: CSC 801 or departmental approval. This course discusses cybersecurity incident response in the context of various computing platforms. Topics include dead-box analysis, memory analysis, log analysis, and malware analysis in Windows, Linux and MacOS Systems.

A. Study of computer crime and forensics. Computer criminal evidence collection, analysis, and handling; computer forensics tools; data acquisition; digital evidence control; Windows and Linux systems investigation; email investigation; network forensics; computer forensic reporting.

(3) A. Prerequisite: departmental approval. This course covers the basic knowledge and skills necessary to analyze MAC operating system artifacts for digital evidence recovery. The topics include: MAC OS overview, GPT partitioning system, MAC system acquisition, MAC directory structure and evidence, Property lists, User logon password recovery, Safari and Firefox artifacts, iChat artifacts, Apple mail analysis, and other related topics.

(3) A. Prerequisite: CSC 730. The purpose of this course is to study software testing process, methods, techniques and tools. Topics include black box testing, white box testing,integration testing, acceptance testing, regression testing,performance testing, stress testing, and testing of object-oriented software.

(A). Prerequisite: CSC 730 or departmental approval. This course covers the basic knowledge and skills necessary to analyze Internet-based applications artifacts for digital evidence recovery. The topics include popular Web browsers, instant messengers, and social media apps.

(3) A. Prerequisite: departmental approval. This course covers the basic knowledge and skills necessary to analyze MS Windows operating system artifacts for digital evidence recovery. The topics include: Windows OS overview, System bitlocker, GPT file system, Windows Security Model, Windows registry, USB devices, Windows event logs, Windows recycle bin, and other related topics.

A. Prerequisites: CSC 801 or departmental approval. This course covers database management system concepts, database system architecture, installation and setup, data management, performance monitoring and tuning, backup and recovery, database security models and management, database auditing.

A. Prerequisite: CSC 730 or departmental approval. Models and principles of information systems. Database languages. The logical and physical design as well as the implementation and use of database systems.

A. Prerequisites: CSC 801 or departmental approval. The use of programming languages to model concepts selected from artificial intelligence. The application of heuristics to problem solving. Perception and pattern recognition.

A. Introduction to Windows network forensics. Topics include: Windows network structure; Windows password/authentication mechanisms; Windows ports and services; Live-analysis techniques; Windows registry structure and evidence; Forensic analysis of events logs; Network forensics tools and reporting.

A. Prerequisite: CSC 730 or departmental approval. Introduction to personal electronic device forensics. Topics include architecture, functionality, operating systems, and implementation of PEDs (cell phones, PDAs, iPod, MP3 music players, GPS devices), recovering evidence form PEDs, and hostile forensic and booby-trapping techniques.

A. Prerequisite: CSC 730 or departmental approval. Project course. Students apply learned digital forensic knowledge, techniques, and software and hardware tools to work on a team project on a case for digital evidence collection, handling, analysis, and reporting.

A. Prerequisite: CSC 730 or departmental approval. 3-D geometry, model transformation, matrices, computer algorithms and protocols, texture mapping, camera control, and collision detection.

A. Prerequisite: departmental approval. For advanced students in computer science. Subject announced when offered. May be retaken to a maximum of six hours, provided that the topics are different.

A. Prerequisites: CSC 801 or departmental approval. Introduction to Machine Learning and its core models and algorithms. Hands-on R programming experiences of using machine learning/deep learning algorithms to analyze real-world data sets.

A. Prerequisites: CSC 801 or departmental approval. Advanced cutting edge and state-of-the-arts knowledge and implementation in big data. Modern deep learning tools for analyzing real-world data sets.

A. Prerequisites: CSC 801 or departmental approval. Principles and techniques for data visualization, including visual representation methods and techniques for increasing the understanding of complex data and models. Hands-on visual programming experiences in data collection and demonstration.

(3) I, II. Prerequisite: Admission to the Master’s degree program in Computer Science or Departmental approval. The problem solving and algorithm design through object-oriented programming. Topics include core concepts in a high-level programming language (data types, control structures, arrays, and exception handling) as well as object-oriented techniques (classes, objects, methods, inheritance and polymorphism.)

A. Prerequisite: CSC 730 or departmental approval. Topics suitable for a microcomputer laboratory systems manager including IBM PC architecture and assembly language, local area networks, MS DOS, copyright law, viruses.

A. Prerequisites: CSC 801 or departmental approval. Operating system concepts, installation and setup system administration, managing system services, program security, viruses and worms, encryption, information database security, security policies, legal and ethical issues.

A. Prerequisites: CSC 801 or departmental approval. Local Area Networks, TCP/IP, Internet Protocols,Client/Server applications. Dynamic web pages, Internet security, firewalls, virtual private networks, network attacks, Web and E-commerce security, wireless networking and security.

A. Prerequisites: CSC 801 or departmental approval. Models and principles of information systems and database languages. The logical and physical design as well as the implementation and use of database systems.

A. Prerequisite: CSC 831. Pattern matching, graph theory algorithms, computational complexity, and cryptography.

A. Prerequisites: CSC 801 or departmental approval. Planning, organizing, monitoring, and controlling the implementation of a software project.

A. Prerequisites: CSC 801 or departmental approval. A survey of current issues in Software Engineering, software testing, metrics, quality assurance, software reuse, and re-engineering.

Prerequisite: departmental approval. May be retaken with approval to a maximum of three credit hours. Employment with faculty and field supervision in an area related to the student's academic interests. A Minimum of eighty hours of employment is required for each academic credit.

A. Prerequisite: departmental approval. May be retaken with approval to a maximum of three credits. Employment with faculty and field supervision in an area related to the student's academic interests. A minimum of eighty hours of employment is required for each academic credit.

A. Prerequisite: departmental approval. May be retaken with approval to a maximum of three credits. Employment with faculty and field supervision in an area related to the student's academic interests. A minimum of eighty hours of employment is required for each academic credit.

A. Prerequisite: departmental approval. May be retaken with approval to a maximum of three credits. Employment with faculty and field supervision in an area related to the student's academic interests. A minimum of eighty hours of employment is required for each academic credit.

A. Prerequisite: departmental approval. May be retaken with approval to a maximum of three credits. Employment with faculty and field supervision in an area related to the student's academic interests. A minimum of eighty hours of employment is required for each academic credit.

A. Prerequisite: departmental approval. May be retaken with approval to a maximum of three credits. Employment with faculty and field supervision in an area related to the student's academic interests. A minimum of eighty hours of employment is required for each academic credit.

A. Prerequisite: CSC 831. The design and analysis of parallel algorithms. Application to merging, sorting, combinatorics and numerical algorithms.

A. Prerequisite: CSC 730. Operating system concepts, concurrent programming, scheduling, security, recovery, methods and languagesfor operating system management. Layering protocols for computer networks, inter-process communications, TCP/IP Internet protocols, Web programming, and Web server management. Credit does not apply toward the M.S. degree in Mathematical Sciences.

A. Prerequisite: departmental approval. Advanced topics in computer science. May be retaken to a maximum of six hours provided the topics are different.

A. Prerequisite: departmental approval. Independent study on a problem chosen by the student and instructor. Student must have the independent study form and course syllabus approved by faculty supervisor and department chair prior to enrollment. May be retaken to a maximum of nine hours, provided that the topics are different.

A. Prerequisite: departmental approval. An individually developed project related to the solution of a typical problem in an applied computing environment. The result is to be presented in open forum. Credit does not apply towards the M.S. degree in Mathematical Sciences.