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2020-2021 Catalog ARCHIVED CATALOG: Content may no longer be accurate.
Course Descriptions
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CS 1010 CA - Introduction to Interactive Entertainment Credits: (3)
Typically Taught Fall Semester: Full Sem
Typically Taught Spring Semester: Full Sem
Typically Taught Summer Semester: Online
This course examines and analyzes the history, philosophy, and impact of digital entertainment (video and computer games along with simulations) on an individual and society. Students take a critical look at the artistic, but also the cultural, economic and social aspects of this expressive medium. Students imagine and articulate their own ideas and work through a series of projects helping them understand the creative challenges behind interactive entertainment design. Implications of certain values embedded in games will be discussed. Elements of the ethical code of conduct for a game creator will be formulated. The issue of balancing individual creativity vs. socio-cultural impact will also be discussed. Students will be required to play video games outside of the regularly scheduled class times. A lab fee is required for this class.
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CS 1022 - Software Development Credits: (4)
Application of the most recent implementation of a selected programming language to the solution of technical and scientific problems.
Pre-requisite(s): CS 1030 and basic skills in Algebra.
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CS 1023 - Selected Programming Language Credits: (4)
Introduction and application of the most recent implementation of a selected programming language to the solution of technical and scientific problems. The language for a particular instance of this course will be based upon demand.
Pre-requisite(s): CS 1030 and basic skills in Algebra.
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CS 1030 - Foundations of Computing Credits: (4)
Typically Taught Fall Semester: Full Sem, Full Sem Online
Typically Taught Spring Semester: Full Sem, Full Sem Online
Typically Taught Summer Semester: Full Sem, Full Sem Online
Computers are an essential part of every occupation. Having a basic understanding of computers will help students become more confident users. This course is taught at an introductory level and presents a broad overview of topics in computing such as personal digital security, ethical behaviors in education and business, how computers work and communicate with one another, how data is stored and used in a computer, and how to create a website and write a computer program.
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CS 1400 - Programming I Credits: (4)
Variable Title
Typically Taught Fall Semester: Full Sem, Full Sem Online
Typically Taught Spring Semester: Full Sem, Full Sem Online
Typically Taught Summer Semester: Full Sem, Full Sem Online
Most technology, such as airplanes, laptops, smartphones, and appliances, depends on computer programming to function. This course introduces students to computer programming using a modern programming language. Designed for students with little or no programming experience, it covers topics including logical problem solving, basic input/output, conditionals, loops, functions, arrays, classes, utilizing language libraries, development environments, and program debugging. Students will gain a basic understanding of how to create software for all computing environments.
Pre-requisite/Co-requisite: CS 1030 or NET 1300 .
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CS 1410 - Object-Oriented Programming Credits: (4)
Typically Taught Fall Semester: Full Sem, Full Sem Online
Typically Taught Spring Semester: Full Sem, Full Sem Online
Typically Taught Summer Semester: Full Sem, Full Sem Online
An introduction to the C++ language. Topics will include data types, control structures, functions, pointers, arrays, I/O streams, classes, objects, encapsulation, overloading, inheritance and use of these concepts in problem solving.
Pre-requisite(s): CS 1400 or CS 2250 and ENGL 1010 or ENGL 2010 .
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CS 2130 - Computational Structures Credits: (4)
Typically Taught Fall Semester: Full Sem, Online
Typically Taught Spring Semester: Full Sem
Typically Taught Summer Semester: Full Sem, Online
An overview of the fundamentals of algorithmic, discrete mathematics applied to computation using a contemporary programming language. Topics include sets, functions, logic, matrices, relations, graphs, trees, regular expressions, grammars, finite state machines, and data encoding.
Pre-requisite(s): CS 1400 .
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CS 2140 - Computer Systems Administration Credits: (4)
An introduction to managing computer operating systems. Covers installation of the operating system, network, and application software. The course will cover the UNIX operating system. Topics include working with disk drives, allocation of resources, security, administering user accounts, monitoring system performance, tuning concepts, remote mounting of file systems, and setting up systems on networks.
Pre-requisite(s): CS 1400 .
Note: Course not currently being offered.
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CS 2250 - Structured Computing in a Selected Language Credits: (4)
Typically Taught Spring Semester: Full Sem
Introduction to structured problem solving using objects, data enumeration and encapsulation in a selected language. The language for a particular instance of this course will be based upon demand.
Pre-requisite(s): Basic skills in fundamental Algebra.
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CS 2335 - Introduction to User Experience Design for Web & Mobile Credits: (3)
Typically Taught Fall Semester: Full Sem
This course is designed to introduce students to the elements of user experience design for the web and mobile. The following topics will be covered: history of user experience, user centric design, agile development, user interface best practices for web and mobile applications, and analytics. Using current technologies and tools, students will create a basic web or mobile application.
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CS 2350 - Client Side Web Development Credits: (4)
Typically Taught Fall Semester: Full Sem, Online
Typically Taught Spring Semester: Full Sem, Online
Typically Taught Summer Semester: Online
This course provides an introduction to client-side programming and Web page development. Subjects covered include responsive Web page design and dynamic Web page development. The course will explore various technologies such as HTML5, CSS3, JavaScript client-side programming, and an introduction to a JavaScript framework.
Pre-requisite(s): CS 1400 .
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CS 2400 - Project Management Credits: (3)
Strategies and techniques for managing a project from inception to completion to meet all schedule, cost, and technical objectives. Knowledge and skills learned in this course prepare students to perform successfully the role of a project manager in any construction, engineering, health, information technology, business, or research and development project, although emphasis will be on project management applied to Software Engineering. Topics include organizational structures, project planning and evaluation, cost estimating, quantitative methods in schedule and cost management, project information systems, communication skills, and conflict resolution.
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CS 2420 - Introduction to Data Structures and Algorithms Credits: (4)
Typically Taught Fall Semester: Full Sem, Full Sem-Online
Typically Taught Spring Semester: Full Sem, Full Sem-Online
Typically Taught Summer Semester: Full Sem, Full Sem-Online
General principles of common data structures and design of efficient algorithms. Topics include: arrays, linked-lists, stacks, queues, trees, graphs, tables, storage and retrieval structures, searching, sorting, hashing, and algorithmic analysis. Emphasis will be on abstraction, efficiency, re-usable code, and object-oriented implementation.
Pre-requisite(s): CS 1410 .
Pre-requisite/Co-requisite: MATH 1080 or MATH 1050 and MATH 1060 .
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CS 2450 - Software Engineering I Credits: (4)
Typically Taught Fall Semester: Full Sem
Typically Taught Spring Semester: Full Sem, Online
Typically Taught Summer Semester: Online
An Object Oriented Analysis and Design course which provides practical guidance on the construction of object-oriented systems. Its specific goals are to provide a sound understanding of the fundamental concepts of the Software Development Life-Cycle, to teach quality design and development style through applications of object-oriented project development within a variety of problem domains, and provide coverage of current Software Engineering models and diagramming techniques.
Pre-requisite(s): CS 1410 .
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CS 2550 - Introduction to Database Design and SQL Credits: (4)
Typically Taught Fall Semester: Full Sem
Typically Taught Spring Semester: Full Sem, Online
Typically Taught Summer Semester: Online
This course is an introduction to databases, specifically focusing on the relational database model, database design and modeling and the structured query language (SQL). Students will become proficient at formulating data query requests using SQL and will also gain experience in database normalization and entity-relationship modeling.
Pre-requisite(s): CS 1030 or NET 1300 .
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CS 2630 - Client Side Frameworks Credits: (4)
Typically Taught Spring Semester: Full Sem
An introduction to current technologies of modern responsive web design techniques, combining CSS3 and Bootstrap with the popular Angular.js, jQuery and jQuery Mobile utility frameworks, to create rich web sites that adapt to a wide range of client devices. Cross listed with WEB 2630 .
Pre-requisite(s): CS 2350 .
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CS 2705 - Network Fundamentals and Design Credits: (4)
Typically Taught Fall Semester: Full Sem, Online
Typically Taught Spring Semester: Full Sem, Online
Typically Taught Summer Semester: Online
Provide an understanding of the basic networking terminology. This will cover the theory of networking, types of network protocols, and wide and local area networks. The student should have a good understanding of network terminology at the completion of the course.
Pre-requisite(s): CS 1030 and CS 1400 .
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CS 2780 - Windows Application Programming Credits: (4)
This course provides participants with a working knowledge of the Windows Operating System. The students will develop applications to run under Windows, using the C/C++ languages. Concepts of Memory Management, DLLs, Resources, and Child Window development will be emphasized. The course also introduces the student to the use of OLE controls and MFC architecture.
Pre-requisite(s): CS 1410 and basic algebra skills.
Note: Course not currently being offered.
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CS 2800 - Individual Projects & Research Credits: (1-4)
Typically Taught Fall Semester: Full Sem
Typically Taught Spring Semester: Full Sem
Typically Taught Summer Semester: Full Sem
The purpose of this course is to permit Computer Science majors to develop an individual project, program, system, or research paper, with coordination and approval of a faculty mentor. The final grade and amount of credit awarded will be determined by the department, depending on the complexity of the upper division work performed.
Pre-requisite(s): CS 1410 .
Number of Times this Course May Be Repeated: May be repeated 3 times up to 6 credits.
Note: Note: Only 4 credit hours of either CS 2800 or CS 2890 can apply to a CS degree as an elective course, and only a maximum of 6 hours of both CS 2800 and CS 2890 may be taken to satisfy missing credits or to achieve full time academic status.
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CS 2810 - Computer Architecture/Organization Credits: (4)
Typically Taught Fall Semester: Full Sem, Full Sem-Online
Typically Taught Spring Semester: Full Sem, Full Sem-Online
Typically Taught Summer Semester: Full Sem-Online
Computers are essential to modern life, yet most people use them with no understanding of how they accomplish everything they do. This course will explore how computers function from a technical perspective, allowing students to see why they work and are designed the way they are. The course will focus on Von Neumann computers, covering a variety of topics including logic gates, basic digital circuit concepts, number and data representation, the processor implementation, BIOS, buses, interrupts, addressing, memory management, and storage. The practical implementation of this knowledge will be examined by introducing assembly language code.
Pre-requisite(s): CS 1410 or (CS 1400 and NET 2210 ).
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CS 2890 INT - Cooperative Work Experience Credits: (1-4)
Typically Taught Fall Semester: Full Sem
Typically Taught Spring Semester: Full Sem
Typically Taught Summer Semester: Full Sem
The purpose of this course is to permit Computer Science majors who are currently working in a computer related job or internship to receive academic credit for their work, with coordination and approval of a faculty mentor and their supervisor. The amount of upper division credit awarded will be determined by the department, depending on the nature and quantity of work performed.
Pre-requisite(s): CS 1410 .
Number of Times this Course May Be Repeated: May be repeated 3 times up to 6 credits.
Note: Note: Only 4 credit hours of either CS 2800 or CS 2890 can apply to a CS degree as an elective course, and only a maximum of 6 hours of both CS 2800 and CS 2890 may be taken to satisfy missing credits or to achieve full time academic status.
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CS 2899 - Associate Degree Assessment Credits: (0)
This course is to serve as an assessment tool whereby all AAS degree seeking students in the Department of Computer Science demonstrate core knowledge acquired from course studies in the discipline as specified in the AAS degree program.
Number of Times this Course May Be Repeated: May be repeated 11 times.
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CS 2920 - Short Courses, Workshops, Institutes and Special Programs Credits: (1-4)
Variable Title
Typically Taught Summer Semester: Full Sem
Consult the semester class schedule for the current offering under this number. The specific title and credit authorized will appear on the student transcript.
Number of Times this Course May Be Repeated: May be repeated 5 times up to 6 credits.
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CS 3030 - Scripting Languages Credits: (4)
Typically Taught Fall Semester: Full Sem
This course addresses the design of scripting languages and their applications. Scripting languages can be used to manipulate text and data using subtle and complex coding to automate many tasks. Students will learn to write simple scripts to automate system administration tasks using appropriate languages. This course explores the nature of scripting, the role of scripting languages, introduces some of the popular scripting languages and their applications, and provides skills in scripting language design.
Pre-requisite(s): CS 1400 and CS 2705 or CS 1400 and NET 2210 .
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CS 3040 - Windows/Unix/Linux Infrastructure and Administration Credits: (4)
Typically Taught Fall Semester: Full Sem
Typically Taught Summer Semester: Full Sem
This is the second course for understanding Windows operating systems and the first in the Unix/Linux operating system. It includes administration in a client/server directory services environment. Taught in a networking setting, it builds upon complex issues learned in previous courses. Provides the knowledge and skills necessary to install, configure, network and administer both operating systems.
Pre-requisite(s): CS 2705 .
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CS 3050 - Enterprise Computing Credits: (4)
Typically Taught Spring Semester: Full Sem
This course provides an integrated view of using enterprise computing systems. An overview on enterprise hardware concepts, enterprise operating systems concepts, and interactive facilities is covered. Batch applications will be developed, edited, compiled, linked, executed and debugged in enterprise operating systems environments. An introduction to emerging technologies in enterprise computing will be presented. Access to the latest enterprise systems, hands-on exercises, and online support materials are important components of this course.
Pre-requisite(s): CS 2420 and CS 2810 .
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CS 3100 - Operating Systems Credits: (4)
Typically Taught Fall Semester: Full Sem
Typically Taught Spring Semester: Full Sem
Typically Taught Summer Semester: Full Sem
An overview of computer operating system from the programmer’s point of view. Input-output hardware, interrupt handling, properties of external storage devices, associative memories and virtual address translation techniques, optimizing programs for performance, concurrent programming with threads, and network programming.
Pre-requisite(s): CS 2420 and CS 2810 .
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CS 3210 - UNIX System Programming and Internals Credits: (4)
Typically Taught Fall Semester: Full Sem
This course provides hands-on experience with writing programs using UNIX system calls and inter-process Communication mechanisms, from simple file I/O and I/O management subsystems to network client and server programs. The internal design and operation of the UNIX operating systems are studied. A detailed examination of the UNIX SVR4 source code will be included in the course.
Pre-requisite(s): CS 2420 .
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CS 3230 - Object Oriented User Interface Development with Java Credits: (4)
Typically Taught Fall Semester: Full Sem
Typically Taught Spring Semester: Full Sem
An intermediate programming course that covers the “core” features of the Java programming language with the goal of preparing students to focus on specialized uses of Java. Topics include object-oriented programming and polymorphism, graphics, event handling, building graphical user interfaces with Swing, multithreading and synchronization, and error handling.
Pre-requisite(s): CS 2420 .
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CS 3250 - Advanced Object Oriented Programming Credits: (4)
Develop and expand abilities in solving lengthy, advanced problems, multiple parallel tasks, generic packages, and other object-oriented techniques using selected languages.
Pre-requisite(s): CS 2420 .
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CS 3260 - Mobile Development for the iPhone Credits: (4)
Typically Taught Spring Semester: Full Sem
Typically Taught Summer Semester: Full Sem
Introduction to developing applications for mobile iOS devices (iPhone, iPod Touch and iPad) using the iPhone SDK, in conjunction with the Xcode/Cocoa development environment. Students will learn the basics of the Objective-C programming language and use it to develop applications for the iPhone family of devices. Students will also gain experience in working in a team environment.
Pre-requisite(s): CS 1410 , CS 2350 and CS 2550 .
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CS 3270 - Mobile Development for Android Credits: (4)
Typically Taught Fall Semester: Full Sem
Typically Taught Summer Semester: Online
Introduction to developing applications for Android mobile devices. Students will use the Eclipse IDE in conjunction with the Android SDK. Students will gain advanced experience in Java and XML as they develop mobile applications both individually and as members of a development team.
Pre-requisite(s): CS 2350 , CS 2550 and CS 3230 .
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CS 3280 - Object Oriented Windows Application Development Credits: (4)
Typically Taught Spring Semester: Full Sem
Typically Taught Summer Semester: Full Sem
This course is designed to teach students how to write Windows programs in C# using the .NET environment. The student will learn how to develop programs based on Windows Applications and the .NET Framework. They will also be introduced to APIs and MFC/AFX styles of Windows programming and to become familiar with various data sharing methods and .NET services.
Pre-requisite(s): CS 2420 .
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CS 3540 - Database Administration Credits: (4)
Typically Taught Spring Semester: Full Sem
This course describes the role of the Database Administrator in managing an organization’s most valuable asset - its data. Topics covered include DBMS architecture, database layout, database development, data fragmentation, rollback segments, database tuning, database security, backup and recovery, database networking, and distributed databases. Special emphasis is given to working with current database management systems such as Oracle, SQL Server and DB2.
Pre-requisite(s): CS 2550 .
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CS 3550 - Advanced Database Programming Credits: (4)
Typically Taught Fall Semester: Full Sem
Typically Taught Spring Semester: Full Sem
Typically Taught Summer Semester: Full Sem
Students will build upon the basic database knowledge and skills gained in the introductory database course. Advanced database knowledge will be gained through the design and implementation of an enterprise-level database. Students will perform database programming techniques such as stored procedures, user-defined functions, cursors, triggers, and distributed queries. Various database paradigms will be used in the course including RDBMS and NoSQL.
Pre-requisite(s): CS 2550 and CS 1410 .
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CS 3580 - Data Science Algorithms Credits: (4)
Typically Taught Spring Semester: Full Sem
This course introduces students to the data management, storage and manipulation tools common in data science and has students apply those tools to real scenarios. Topics include, but are not limited to, the following: data reduction, scalable algorithms, modern distributed solutions, data visualization, applied statistical models, prediction algorithms, and forecasting.
Pre-requisite(s): ((CS 1400 and CS 2550 ) or CS 2420 ) and (MATH 1040 or MATH 3410 or QUAN 2600 ) and (at least 60 hours of completed credits).
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CS 3610 - Introduction to Game Industry Credits: (4)
Typically Taught Summer Semester: Full Sem
This is course is an introduction to the game industry and the skills and best practices needed in order to become a game developer. The course will evaluate different gaming hardware, genre, skills, tools, and roles. Students will also understand the elements in creating a game including the game design document, story line, vision, virtual worlds, playfields, and the mathematics and physics that are involved with game development.
Pre-requisite(s): CS 1400 .
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CS 3620 - Server-Side Web Architecture Credits: (4)
An introduction to server-side Web development using the most current Web server technologies. General Web development principles such as usability, reliability, maintainability and scalability will be applied to current Web development environments such as ASP.NET, PHP, Python, Ruby and Java. Students will gain real-world experience in creating Websites for multiple Web platforms.
Pre-requisite(s): CS 2350 and CS 2550 .
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CS 3630 - Rich Internet Application Development Credits: (4)
An introduction to developing and deploying rich Internet applications (RIAs) using current technologies. Students will develop engaging websites by incorporating RIAs in the web application development process.
Pre-requisite(s): CS 2350 and CS 2550 .
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CS 3645 - Advanced User Interface Design Credits: (3)
Typically Taught Spring Semester: Full Sem
Students will learn the elements of user interface design as it applies to front-end web development and software engineering. Students will identify best practices in user interface design. The following topics will be covered: wire-framing, color palettes, typography, information architecture, contrast, uniformity, and responsive design techniques. Using current technologies and tools, students will wireframe, design, and program effective interfaces.
Pre-requisite(s): WEB 2500 or CS 2335 , WEB 1400 or CS 1400 , or permission of instructor.
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CS 3650 - Human-Computer Interaction Credits: (4)
Typically Taught Fall Semester: Full Sem, Full Sem Online
This course introduces the skills and concepts of Human-Computer Interaction (HCI) that enable students to design systems that effectively meet human needs. A concrete illustration of the practice of HCI, this course covers usability, user experience, and modern diverse interfaces. This course includes both theoretical and practical best practices. Cross-listed with WEB 3650 .
Pre-requisite(s): CS 2420 , CS 2450 or WEB 3500 .
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CS 3705 - Protocol Analysis Credits: (4)
Typically Taught Fall Semester: Full Sem
This course provides an in depth look at the fundamentals of what protocols do and how they work, how addresses and routing are used to move data through the network, and how information is exchanged over the Internet. In depth analysis of network traffic packets will include normal traffic as well as protocol attack patterns. Topics include: DNS, Apache, email, Samba, PPP, DHCP, TCP, IP, and UDP troubleshooting, and security.
Pre-requisite(s): CS 2705 or NET 2435 .
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CS 3720 - Network Architectures and Protocols Credits: (4)
A practical applications course designed to teach the basic concepts associated with local and wide area networks and protocols. The course will concentrate on the TCP/IP and other protocols in the UNIX and Windows NT environments. Covers TCP/IP extensively, NFS, Sockets, RPC and TLI interfaces. The course also covers the use of Domain Name Servers, remote system calls, ports, services, configuration, IP addressing, and UNIX and Windows NT monitoring commands.
Pre-requisite(s): CS 3705 .
Note: Course not currently being offered.
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CS 3730 - Client/Server Network Programming Credits: (4)
Covers client/server architecture and application development using TCP/IP and other protocols. The course covers client/server operations on a single machine and across an Ethernet network to multiple machines. The course will also cover distributed processing concepts and applications. Applications include the use of STREAMS, Sockets, TLI, network listener facility, drivers, RPC, and ONC. The course will concentrate mainly on UNIX but will cover some concepts and applications using Windows NT.
Pre-requisite(s): CS 2705 and CS 3210 .
Note: Course not currently being offered.
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CS 3750 - Software Engineering II Credits: (4)
Typically Taught Fall Semester: Full Sem
Typically Taught Spring Semester: Full Sem
Typically Taught Summer Semester: Full Sem
(Community Engaged Learning Designation) This course emphasizes teamwork in small groups on a substantial software engineering project that will be performed for a real customer in the community. It is the intent of the course to provide a capstone experience that integrates the material contained in the CS curriculum through work on a software project that applies this material. Projects are chosen so as to provide an interdisciplinary service learning component with project proposals being solicited from the community at large. Projects that integrate students and faculty from other disciplines are also encouraged. Lectures will be directed towards the software development lifecycle, requirements gathering and design documentation, as well as software project management. Each team member will contribute to all phases of the project as well as the development of a project prototype.
Pre-requisite(s): CS 2350 , CS 2450 , CS 2899 , CS 3550 , CS 3230 or CS 3280 , and ENGL 3100 or ENGL 2250 or PHIL 1250 or PS 3250 .
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CS 3805 - Computer and Network Security Credits: (4)
Typically Taught Fall Semester: Full Sem
Typically Taught Spring Semester: Full Sem
This course is designed to provide students with a solid foundation in network security including a treatment of security issues related to computers and computer networking. The primary emphasis is on developing security policies, security auditing, security models and laws related to security.
Pre-requisite(s): CS 2705 and CS 2420 .
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CS 3810 - Digital Design Theatre Credits: (3)
Experimental Course, Contact Department for More Information
| This course emphasizes close collaboration among students in Theatre Arts and students in the School of Computing. Software and hardware commonly used in current digital theatre design will be explored. Students will be given an introduction to the “tools” of the trade in a studio setting as they advance through a series of exercises, as well as independent and team projects focusing on both artistic design and software engineering. The course will culminate in a selection of short realized multimedia performance projects with guest student actors. Members of each discipline will be immersed in the problem solving approaches and thinking patterns of peers from a different field, which more accurately represents the experiences of working individuals within their chosen careers. Prerequisite: Instructor Permission |
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CS 3810 - Experimental Courses Credits: (1-6)
Consult the semester class schedule for the current offering under this number. The specific title and credit authorized will appear on the student transcript. May be repeated 5 times with a maximum of 6 credit hours. Refer to Experimental Courses .
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CS 3810 - Programming Voice Activated Devices Credits: (4)
Experimental Course, Contact Department for More Information
| Introduction to developing applications for voice-activated devices. Students will learn how to program a voice-activated device such as the Amazon Alexa or Amazon Dot. Students will use the Amazon Alexa Skills Kit which is a collection of Applicaiton Programming Interface (API), tools to develop Alexa Skills to perform functions. Students will gain experience learning how to program voice activated applications. |
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CS 3830 - Writing Secure Code Credits: (4)
This course focuses on how to develop software systems that are robust and can withstand repeated attacks from malicious intruders. The course coverage includes the need for secure systems, basic security principles and strategies, designing secure applications, secure coding techniques, dangerous APIs, data input issues, network security problems, testing secure applications, security code reviews, secure software installation, and writing security documentation.
Pre-requisite(s): CS 2420 .
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CS 3840 - Computer Forensics for Security Assurance Credits: (4)
Typically Taught Fall Semester: Full Sem
This course is a foundational course in file system analysis, digital forensics and computer media analysis. A combination of lectures and labs will give students a strong understanding of low-level file system knowledge to prepare them for involvement in digital forensic analysis, data recovery and other related tasks. Students will examine widely used file systems such as Windows NTFS and FAT32, UFS, EXT2 and UFS2. Students will also become familiar with software tools used in computer forensic work.
Pre-requisite(s): CS 2420 .
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CS 4110 - Concepts of Formal Languages and Algorithms for Computing Credits: (4)
Typically Taught Spring Semester: Full Sem
Typically Taught Summer Semester: Full Sem
Concepts of formal language definition, automata theory, Turing theory, and solvability, with an introduction of algorithms and computational methods used in advanced computer science courses.
Pre-requisite(s): CS 2420 and either MATH 1630 or CS 2130 .
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CS 4230 - Java Application Development Credits: (4)
Typically Taught Spring Semester: Full Sem
Typically Taught Summer Semester: Full Sem
This course is a continuation of CS 3230 and examines the development of Java applications intended for an enterprise environment. The course is programming intensive and concentrates on designing and implementing multi-tier and Web applications based on the Java Enterprise Edition (Java EE) specification. Topics include JavaBeans, Java Database Connectivity, client/server interactions, servlets, session tracking, JavaServer Pages, JavaServer Faces, Struts, the Model-View-Controller approach, remote method invocation, Enterprise JavaBeans, and application servers. Lab exercises will emphasize how Java Enterprise programming supports the operation of robust, distributed object architectures.
Pre-requisite(s): CS 3230 , CS 3750 .
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CS 4250 - Design Patterns Credits: (4)
Typically Taught Fall Semester: Full Sem
Typically Taught Spring Semester: Full Sem
Introduction to fundamental principles of software development using design patterns, including structural design patterns, behavioral design patterns, SOLID principles, and agile approach; Understand and program the basic concepts and techniques for building software in an adaptive way, including dependencies and layering, interfaces, unit testing, and refactoring.
Pre-requisite(s): CS 3230 or CS 3280 .
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CS 4280 - Computer Graphics Credits: (4)
This course introduces and investigates the mathematical and programming basis for generating pictures and images using a computer. Fields impacted by visual rendering technologies include filmmaking, publishing, banking, engineering, and education. Students are introduced to the theory and practice of computer graphics, with an emphasis on designing and developing working applications using currently available graphics libraries. The course focuses on strategies for rendering geometric data (points, lines, and polygons), and the analysis of the processing stages and components of the graphics pipeline, including transformations, viewing volumes, and projections. Programming and mathematical techniques related to modeling, viewing, coordinate frames, and perspective will be primary topics for discussion and code development. The course covers the key processing steps and structures needed to appropriately map 3D geometric primitives to 2D screen positions while maintaining a realistic look, which involves hidden surface removal, proper lighting, and simulated material properties.
Pre-requisite(s): CS 2420 .
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CS 4350 - Advanced Internet Programming Credits: (4)
Typically Taught Spring Semester: Full Sem
Capstone client/server web programming group project implemented using an advanced web framework (such as PHP (Laravel, Zend, Cake PHP) or Django, or Ruby on Rails). Includes implementation and concepts of an MVC web architecture, Web UI design and creation, data modeling and retrieval, input validation, security, and unit testing.
Pre-requisite(s): WEB 3620 or CS 3620 .
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CS 4450 - Advanced Software Engineering Methods Credits: (4)
Typically Taught Spring Semester: Full Sem
Typically Taught Summer Semester: Full Sem
This course provides a capstone project experience for students interested in software engineering. While previous courses in the Computer Science curriculum provide students with the knowledge and skills necessary to begin a career as a software engineer, the end-to-end design and implementation experience offered in this course, done as part of a team, and addressing an open ended problem (as well as an open ended solution), comes much closer to the experience that software engineering professionals encounter in the workplace. The emphasis on documentation and presentation of designs and results is also valuable career preparation, and forces students to take ownership of their designs and systems as they present them to others.
Pre-requisite(s): CS 3750 .
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CS 4500 - Introduction to Artificial Intelligence Credits: (4)
Typically Taught Fall Semester: Full Sem
This course covers basic artificial intelligence principles from the perspective of implementing intelligent agents through software. Students will write intelligent software agents to solve a variety of problems from different application domains. Topics include search, search heuristics, adversarial search, constraint satisfaction problems, knowledge and reasoning, planning, and knowledge representation.
Pre-requisite(s): CS 2420 and either MATH 1630 or CS 2130 .
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CS 4640 - Foundations of Game Development Credits: (4)
Typically Taught Fall Semester: Full Sem
This course introduces students to 2D game development using a programming language, scripting, and a gaming engine. The work includes team work project, graphical programming, GUI, and all other aspects of creating a game program associated with a game design document.
Pre-requisite(s): CS 1010 and CS 3280 .
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CS 4650 - Advanced Game Development Credits: (4)
Senior project Game Development II course focuses on 3D game programming in a team work project environment using a game engine. At conclusion student should be able to add the resulting program into their game portfolio.
Pre-requisite(s): CS 4640 , CS 3750 .
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CS 4730 - Applied Cryptography Credits: (4)
This course provides an introduction to the principles of number theory and how they are applied to cryptographic algorithms. Different topics that will be examined are: several classic ciphers, modern cryptographic methods, symmetric encryption, public key cryptography, hash functions, key management, digital signatures, certificates, electronic mail security, steganography, and recent developments affecting security and privacy on the Internet. The focus will be on how cryptography and their application can maintain privacy and security in computer networks.
Pre-requisite(s): CS 2420 and either MATH 1630 or CS 2130 .
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CS 4790 - .NET Web Application Development Credits: (4)
Typically Taught Fall Semester: Full Sem
Typically Taught Spring Semester: Full Sem
In this course, students will work together as a team to develop advanced ASP.NET MVC applications using the latest .NET CORE Framework tools and technologies. The focus will be on coding activities that enhance the performance and scalability of a web application in a small to medium-sized development environment. Students will create websites that separate the user interface, data access, and application logic.
Pre-requisite(s): CS 3750 .
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CS 4800 - Individual Projects and Research Credits: (1-4)
Typically Taught Fall Semester: Full Sem
Typically Taught Spring Semester: Full Sem
Typically Taught Summer Semester: Full Sem
The purpose of this course is to permit Computer Science majors to develop an individual project, program, system, or research paper, with coordination and approval of a faculty mentor. The final grade and amount of credit awarded will be determined by the department, depending on the complexity of the upper division work performed.
Pre-requisite(s): CS 2420 .
Number of Times this Course May Be Repeated: May be repeated 3 times up to 4 credit hours.
Note: Note: Only 4 credit hours of CS 4800 or CS 4850 or CS 4890 can apply to a CS degree as an elective course, and only a maximum of 6 hours of CS 4800 , CS 4850 , and CS 4890 may be taken to satisfy missing credits or to achieve full time academic status.
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CS 4820 - Compiler Design Credits: (4)
A study of compilers, grammars, finite-state and push down automata, scanning, parsing, error handling, semantic analysis and code generation.
Pre-requisite(s): CS 2420 , CS 4110 .
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CS 4830 - Advanced Topics in Computer Science Credits: (1-4)
Variable Title
Typically Taught Spring Semester: Full Sem
Advanced topics which are demanded by industry, are currently popular in this rapidly changing field, or which meet special needs of students in Computer Science will be offered. Individualized material will be taught on a one time basis as needed. Time and credit to be arranged.
Pre-requisite(s): Consent of instructor.
Number of Times this Course May Be Repeated: May be repeated 2 times up to 8 credit hours.
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CS 4850 - Faculty Directed Research Credits: (1-4)
Typically Taught Fall Semester: Full Sem
Typically Taught Spring Semester: Full Sem
Typically Taught Summer Semester: Full Sem
The purpose of this course is to permit Computer Science majors to work closely and consistently with a faculty mentor on specific research related to current, experimental topics in Computer Science. The final grade and amount of credit awarded will be determined by the faculty mentor, depending on the complexity of the advanced, upper division work performed.
Pre-requisite(s): CS 2420 .
Number of Times this Course May Be Repeated: May be repeated 3 times up to 4 credit hours.
Note: Note: Only 4 credit hours of CS 4800 or CS 4850 or CS 4890 can apply to a CS degree as an elective course, and only a maximum of 6 hours of CS 4800, CS 4850 and CS 4890 may be taken to satisfy missing credits or to achieve full time academic status.
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CS 4890 INT - Cooperative Work Experience Credits: (1-4)
Typically Taught Fall Semester: Full Sem
Typically Taught Spring Semester: Full Sem
Typically Taught Summer Semester: Full Sem
The purpose of this course is to permit Computer Science majors who are currently working in a computer related job or internship to receive academic credit for their work, with coordination and approval of a faculty mentor and their supervisor. The amount of upper division credit awarded will be determined by the department, depending on the nature and quantity of work performed.
Pre-requisite(s): CS 2420 .
Number of Times this Course May Be Repeated: May be repeated 3 times up to 4 credit hours.
Note: Note: Only 4 credit hours of CS 4800 or CS 4850 or CS 4890 can apply to a CS degree as an elective course, and only a maximum of 6 hours of CS 4800 , CS 4850 , and CS 4890 may be taken to satisfy missing credits or to achieve full time academic status
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CS 4899 - Bachelor’s Degree Assessment Credits: (0)
This course is to serve as an assessment tool whereby all BS/BA degree seeking students in the Computer Science Department demonstrate their learned knowledge in at least three areas of computer science. At present, this knowledge will be demonstrated through the use of Chi Tester exams administered through the Campus Testing Center. The course is taken during the last term prior to receiving the BS/BA degree.
Pre-requisite/Co-requisite: Prereq/Coreq: Successful completion of requirements for the Bachelor’s Degree.
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CS 4920 - Short Courses, Workshops, Institutes and Special Projects Credits: (1-4)
Variable Title
Consult the semester class schedule for the current offering under this number. The specific title and credit authorized will appear on the student transcript.
Number of Times this Course May Be Repeated: May be repeated 3 times up to 4 credit hours.
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CS 5100 - Distributed Operating Systems Credits: (3)
Typically Taught Fall Semester: Full Sem
Distributed systems or distributed computing deals with the issues encountered while running programs across a computer network. This course will cover key topics including: models of distributed systems, timing, synchronization, coordination and agreement, fault tolerance, naming, security, and middleware. Students will learn both the theoretical background of distributed systems as well as work on hands-on projects developing distributed systems applications.
Pre-requisite(s): CS 3100 .
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CS 5420 - Advanced Algorithms Credits: (3)
Typically Taught Spring Semester: Full Sem
Introduction to fundamental principles of advanced algorthm design, including asymptotic analysis; divide-and-conquer algorithms and recurrences; greedy algorithms; practical data structures (heaps, hash tables, search trees, graphs); dynamic programming; graph algorithms; and randomized algorithms.
Pre-requisite(s): CS 2420 .
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CS 5450 - Software Evolution and Maintenance Credits: (3)
Typically Taught Fall Semester: Full Sem
This course aims to improve student awareness of standard software engineering tools and techniques and make them more capable team members/leaders in software development projects. In this course, students build on their software engineering knowledge by evaluating the Software Development Lifecycle (SDLC) of an existing undergraduate capstone project (or and re-engineering it with specific techniques for maintenance, scalability, dependability, reliability, safety, security, and resilience. Topics such as reverse engineering, design recovery, program analysis, program transformation, refactoring, traceability, and program understanding will be investigated. Accompanying lectures aim to provide timely concepts from the software engineering body of knowledge as they relate to the course work. There will also be class discussions and demonstrations around practical aspects of improving software-related skills that draw upon the students’ collective experience and upon the research.
Pre-requisite(s): CS 3100 .
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CS 5500 - Advanced Artificial Intelligence Credits: (3)
Typically Taught Fall Semester: Full Sem
This course covers advanced topics in artificial intelligence from the perspective of implementing intelligent agents through software. Students are expected to have a basic understanding of search and knowledge reasoning. Topics include quantifying uncertainty, probabilistic reasoning and planning, supervised learning, reinforcement learning, natural language processing, and perception. CS 4500 - Introduction to Artificial Intelligence or a similar course is not required but may be helpful prior to taking this course.
Pre-requisite(s): CS 2420 and either MATH 1630 or CS 2130 .
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CS 5580 - Advanced Data Science Algorithms and Visualization Credits: (3)
Typically Taught Fall Semester: Full Sem
Data Science affects modern life in many ways from search engines and recommendation engines to e-commerce and the stock exchange. This course builds on the undergraduate Data Science Algorithms course concepts and introduces the student to advanced methodologies in applied machine learning, data mining, visualization concepts, feature engineering, and modern topics, such as Big Data. The goal of this course is to prepare professionals for practical hands-on experiences for the modern Data Science workplace with visualization as a significant part of the course.
Pre-requisite(s): CS 3580 .
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CS 5600 - Machine Learning Credits: (3)
Typically Taught Spring Semester: Full Sem
Introduction to fundamental principles and practical techniques of machine learning and its applications, including parametric and non-parametric algorithms, support vector machines, kernels, neural networks, clustering algorithms, dimensionality reduction, recommender systems, and deep learning. This course focuses on understanding and implementing the machine learning algorithms.
Pre-requisite(s): CS 2420 .
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CS 5610 - Computer Architecture Credits: (3)
Typically Taught Fall Semester: Full Sem
Investigation of high-performance computer processing architectures, including concurrent, multicore platforms; memory hierarchy; static and dynamic scheduling; instruction-level parallelism, including branch prediction; graphics processing units; cache performance and analysis.
Pre-requisite(s): CS 2810 .
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CS 5740 - Computer Systems Security Credits: (3)
Typically Taught Spring Semester: Full Sem
Computer Systems Security studies the design and implementation of secure computer systems. Topics include threat models, operating system security, TCP/IP security issues, information flow control, language security, hardware security, security in web applications, and detecting/monitoring unauthorized activity. Assignments include readings from current articles, labs that involve implementing and compromising a secure computer system, and a team final project.
Pre-requisite(s): CS 2420 and CS 3100 .
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CS 5820 - Compiler Design Credits: (3)
Typically Taught Fall Semester: Full Sem
A study of compilers, grammars, finite-state and push down automata, scanning, parsing, error handling, semantic analysis and code generation.
Pre-requisite(s): CS 2420 and CS 2130 .
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CS 5840 - Formal System Design Credits: (3)
Typically Taught Fall Semester: Full Sem
Methods for developing high-quality hardware/software systems that are delivered on time, within budget, and according to requirements. Techniques for specifing programs and reasoning about them, including formal logical proofs, correct code synthesis, model checking, type theory specifications, and properly evaluating concurrent programs.
Pre-requisite(s): CS 2420 .
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CS 5850 - Parallel Programming and Architecture Credits: (3)
Typically Taught Spring Semester: Full Sem
In parallel programming you will learn how to utilize multiple CPU’s/Cores/Nodes in parallel to increase the performance of your applications. Different architectures will be discussed along with the advantages and disadvantages of each. This course will cover key topics parallel programming including: memory models, parallel programming architectures, Flynn’s Taxonomy, synchronization, and performance analysis and tuning. In addition to learning the theoretical background of parallel programming, you will work on hands-on projects using multiple parallel programming languages and libraries including (CUDA, openMP, MPI, open CL, and python).
Pre-requisite(s): CS 3100 .
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CS 6010 - Design Project Credits: (2-6)
Typically Taught Fall Semester: Full Sem
Typically Taught Spring Semester: Full Sem
Typically Taught Summer Semester: Full Sem
Students are required to complete a substantial computer science project. Students must demonstrate proficiency in research, design, analysis, project planning, implementation, testing, presentation and documentation. Students receive T (temporary) grades until their final design review, after which these grades are changed retroactively. Students must be enrolled in CS 6010 at the time of their final design review.
Number of Times this Course May Be Repeated: May be taken up to 10 times for credit.
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CS 6011 - Thesis Research Credits: (2-6)
Typically Taught Fall Semester: Full Sem
Typically Taught Spring Semester: Full Sem
Typically Taught Summer Semester: Full Sem
Students are required to complete original computer science research resulting in a thesis. Students must demonstrate proficiency in research, design, analysis, project planning, implementation, testing, presentation and documentation. Students receive T (temporary) grades until their final design review, after which these grades are changed retroactively. Students must be enrolled in CS 6011 at the time of their final thesis defense.
Number of Times this Course May Be Repeated: May be taken up to 10 times for credit.
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CS 6100 - Distributed Operating Systems Credits: (3)
Typically Taught Fall Semester: Full Sem
Distributed systems or distributed computing deals with the issues encountered while running programs across a computer network. This course will cover key topics including: models of distributed systems, timing, synchronization, coordination and agreement, fault tolerance, naming, security, and middleware. Students will learn both the theoretical background of distributed systems as well as work on hands-on projects developing distributed systems applications. Prerequisite: CS 3100 .
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CS 6420 - Advanced Algorithms Credits: (3)
Introduction to fundamental principles of advanced algorthm design, including asymptotic analysis; divide-and-conquer algorithms and recurrences; greedy algorithms; practical data structures (heaps, hash tables, search trees, graphs); dynamic programming; graph algorithms; and randomized algorithms.
Pre-requisite(s): CS 2420 .
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CS 6450 - Software Evolution and Maintenance Credits: (3)
Typically Taught Fall Semester: Full Sem
This course aims to improve student awareness of standard software engineering tools and techniques and make them more capable team members/leaders in software development projects. In this course, students build on their software engineering knowledge by evaluating the Software Development Lifecycle (SDLC) of an existing undergraduate capstone project (or and re-engineering it with specific techniques for maintenance, scalability, dependability, reliability, safety, security, and resilience. Topics such as reverse engineering, design recovery, program analysis, program transformation, refactoring, traceability, and program understanding will be investigated. Accompanying lectures aim to provide timely concepts from the software engineering body of knowledge as they relate to the course work. There will also be class discussions and demonstrations around practical aspects of improving software-related skills that draw upon the students’ collective experience and upon the research.
Pre-requisite(s): CS 3100 .
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CS 6500 - Advanced Artificial Intelligence Credits: (3)
Typically Taught Fall Semester: Full Sem
This course covers advanced topics in artificial intelligence from the perspective of implementing intelligent agents through software. Students are expected to have a basic understanding of search and knowledge reasoning. Topics include quantifying uncertainty, probabilistic reasoning and planning, supervised learning, reinforcement learning, natural language processing, and perception. CS 4500 - Introduction to Artificial Intelligence or a similar course is not required but may be helpful prior to taking this course.
Pre-requisite(s): CS 3100 .
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CS 6580 - Advanced Data Science Algorithms and Visualization Credits: (3)
Typically Taught Fall Semester: Full Sem
Data Science affects modern life in many ways from search engines and recommendation engines to e-commerce and the stock exchange. This course builds on the undergraduate Data Science Algorithms course concepts and introduces the student to advanced methodologies in applied machine learning, data mining, visualization concepts, feature engineering, and modern topics, such as Big Data. The goal of this course is to prepare professionals for practical hands-on experiences for the modern Data Science workplace with visualization as a significant part of the course. CS 3580 (Data Science Algorithms) or a similar course is not required but will be immensely helpful prior to taking this course.
Pre-requisite(s): CS 3100 or CS 3580 .
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CS 6600 - Machine Learning Credits: (3)
Typically Taught Fall Semester: Full Sem
Introduction to fundamental principles and practical techniques of machine learning and its applications, including parametric and non-parametric algorithms, support vector machines, kernels, neural networks, clustering algorithms, dimensionality reduction, recommender systems, and deep learning. This course focuses on understanding and implementing the machine learning algorithms.
Pre-requisite(s): CS 3100 .
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CS 6610 - Computer Architecture Credits: (3)
Investigation of high-performance computer processing architectures, including concurrent, multicore platforms; memory hierarchy; static and dynamic scheduling; instruction-level parallelism, including branch prediction; graphics processing units; cache performance and analysis.
Pre-requisite(s): CS 2810 .
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CS 6740 - Computer Systems Security Credits: (3)
Typically Taught Spring Semester: Full Sem
Computer Systems Security studies the design and implementation of secure computer systems. Topics include threat models, operating system security, TCP/IP security issues, information flow control, language security, hardware security, security in web applications, and detecting/monitoring unauthorized activity. Assignments include readings from current articles, labs that involve implementing and compromising a secure computer system, and a team final project.
Pre-requisite(s): CS 2420 and CS 3100 .
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CS 6820 - Compiler Design Credits: (3)
Typically Taught Fall Semester: Full Sem
A study of compilers, grammars, finite-state and push down automata, scanning, parsing, error handling, semantic analysis and code generation.
Pre-requisite(s): CS 2420 . Recommended Prerequisite: CS 4110 .
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CS 6830 - Special Topics in Computer Science Credits: (3)
Variable Title
Typically Taught Fall Semester: Full Sem
Typically Taught Spring Semester: Full Sem
This course explores new or otherwise relevant computer science topics that are not covered in a regularly offered course. Each offering will have a specific title and authorized credit that will appear on the student’s transcript. May be repeated for credit under different titles. Lecture or Lecture/Lab combination.
Pre-requisite(s): Instructor permission.
Number of Times this Course May Be Repeated: May be taken twice up to 6 credits.
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CS 6840 - Formal System Design Credits: (3)
Methods for developing high-quality hardware/software systems that are delivered on time, within budget, and according to requirements. Techniques for specifing programs and reasoning about them, including formal logical proofs, correct code synthesis, model checking, type theory specifications, and properly evaluating concurrent programs.
Pre-requisite(s): CS 2420 .
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CS 6850 - Parallel Programming and Architecture Credits: (3)
Typically Taught Spring Semester: Full Sem
In parallel programming you will learn how to utilize multiple CPU’s/Cores/Nodes in parallel to increase the performance of your applications. Different architectures will be discussed along with the advantages and disadvantages of each. This course will cover key topics parallel programming including: memory models, parallel programming architectures, Flynn’s Taxonomy, synchronization, and performance analysis and tuning. In addition to learning the theoretical background of parallel programming, you will work on hands-on projects using multiple parallel programming languages and libraries including (CUDA, openMP, MPI, open CL, and python). Prerequisite: CS 3100 .
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