The objective of this course is to give students experiences that convey the five main activities of a person working in the area of computer science: reading, listening, thinking, speaking, writing and cooperative interaction. Designed for incoming freshmen.

Practical applications of concepts learned in Computer Science 1336 (COSC 1336). Hands-on instruction in programming in an object-oriented language, developing, debugging, and testing programming projects.

This course is the lab which accompanies COSC 1337. the topics covered include advanced concepts of Java programming, such as inheritance, polymorphism, Graphical and graphics, exceptions, events, etc.

The synthesis of computer games with a focus on the artistic elements of games, including graphics, animation, audio and narrative.

Introduces the fundamental concepts of structured programming. Topics include software development methodology, data types, control structures, functions, arrays, and the mechanics of running, testing and debugging. This course assumes computer literacy.

Review of control structures and data types with emphasis on structured data types. Applies the object-oriented programming paradigm, focusing on the definition and use of classes along with the fundamentals of object-oriented design. Includes basic analysis of algorithms, searching and sorting techniques, and an introduction to software engineering.

The objective of this course is to teach students to solve realistic problems using the most readily available off-the-shelf general applications software: word processing, spreadsheets and database systems. The course familiarizes the student with Internet resources. Students learn the basic components of computer systems and networks. (This course may not be taken as a COSC/CPSC elective).

The objective of the course is to teach students from any discipline to write software to design interesting 3-D games that are fun to play. Students will learn how a high level programming language can produce exciting virtual world.

This is an introductory course in Android game development.

This course introduces the computer organization and assembly language. The system software includes loaders, assemblers, input-output devices and programming.

This course is designed to use various Web 2.0 technologies such as social networks, blogs, wikis and podcasts. Subject matter will consist of projects, quizzes, discussions and a portfolio project. This is a project based course and will require several hours of your time each week. Web cam and microphone required.

This course describes applications of programming techniques, introducing the fundamental concepts of data structures and algorithms.

This course introduces the computer organization and assembly language.

This course presents discrete mathematical structures for computer science and mathematics. Topics include: logic and methods of proof, structures of sets and functions, Boolean algebra, recursion, fundamentals of algorithms, permutations and combinations, discrete probability, graphs and trees, randomized search and optimization, and their applications.

The study of the theory and applications of specialized computer languages and language packages. This course may be repeated for different languages and language packages. This course is an academic elective and will not be counted as a COSC/CPSC elective.

Preliminary review/introduction of the mathematics and logic for the course. Programs and computable functions, primitive recursive functions, the universal program, Turing machines and regular languages.

This course is intended as an intermediate course to the design and analysis of algorithms for some of the most frequently encountered combinatorial problems. The course aims to provide familiarity with general algorithmic techniques, performance measures, analysis tools and problem areas. In this course, we will focus on developing an understanding of the algorithmic design process: how to identify the algorithmic needs of an application and apply algorithmic design techniques to solve those problems. The students will also learn how to identify problems for which no exact, efficient algorithm is known. More specifically, topics include: Fundamentals (Basic Programming Model, Data Abstraction, Bags, Queues, and Stacks, Analysis of Algorithms), Sorting (Elementary Sorts, Mergesort, Quicksort, Priority Queues, applications), Searching (Symbol Tables, Binary Search Trees, Balanced Search Trees, Hash Tables, applications), Graphs (Undirected Graphs, Directed Graphs, Minimum Spanning Trees, Shortest Paths), Strings (String Sorts, Tries, Substring Search, Regular Expressions, Data Compression), Context (applications).

Programming in C ++ in a UNIX environment.

This course covers data science, analytics, visualization in Python by including the foundations of Python programming in machine learning. The primary focus is on hands-on experience and working knowledge of Python for data representation, manipulation, visualization, regression, convolutional and recurrent neural networks.

The organization of programming languages, especially run-time behavior of programs; the formal study of programming language specification and analysis, and the continued development of problem solution and programming skills.

Web design with XHTML. The course emphasizes coding at the XHTML level rather than using a WYS/WYG editor. The course also covers information related to WEB design, intellectual property, and the internet. The course may NOT be used as a computer science or computer information sciences elective.

This is a course for students from all disciplines interested in learning the foundational concepts and basic techniques in digital media production. Topic areas: capturing and editing digital images, capturing and editing digital audio, capturing and editing digital video and interactive multimedia. The course will consist of project based assignments, quizzes and a portfolio project to showcase student work.

This course introduces the ethical style of good writing in computer science and presents the social, legal, philosophical, and economic issues related to computers.

The one credit hour version of this course called COSC 4172 (Senior Assessment). The objective of COSC 4272 is to assist students in their preparation for searching a permanent position after graduation or in their application for a more advanced graduate degree. It will survey students completing their degrees as part of its assessment obligations by ABET.

An investigation into specialized areas of computer science under the guidance of a faculty member. This course may be repeated for credit when topics of investigation differ.

To introduce the major concept areas of operating systems principles develop an understanding of the organization and architecture of computer systems at the register-transfer and programming levels of system description and the inter-relationships between the operating system and the architecture of computer systems.

This is an accelerated introductory computer programming course using a high-level programming language. Topics include algorithms, pseudocode, structured techniques of problem solving and program design, data structures, sorting, searching and object-oriented design. Prior programming experience is not needed but is highly recommended. The course is designed for graduate students who lack the necessary preparation necessary for graduate-level programming courses. A minimum grade of B is required in this course to meet degree requirements

Student works off-campus for at least 20 hours per week for an entire semester. Work must be similar to work done in industry by computer science graduates. Requires approval of department chair.

Student works off-campus for at least 20 hours per week for an entire semester. Work must be similar to work done in industry by computer science graduates. Requires approval of department chair.

This course describes in-depth understanding of the inner workings of modern digital computer systems and trade-offs present at the hardware-software interface. (Organization and Assembly language)

This is an introductory course in graphics programming using C++ and Microsoft Windows.

This course will build off of the fundamentals of HTML and CSS to teach the student how to build dynamic and engaging websites. The course will cover the standards associated with web technologies including HTML, CSS, JavaScript, PHP, and Python. The course will also cover how to implement these technologies in applicable “real-world” situations. The course will consist of projects, quizzes, discussions and a portfolio project. This is a project-based course and will require several hours of a student’s time each week.

This is an introductory course in game programming using the PC platform.

Continuation of COSC 4324. Advanced game programming techniques, including 3.D graphics, 3-D audio, game physics and networking for multi-player games.

This course will cover the beginning topics of Android, and teach basic Android application development using Eclipse Development Environment. It is designed to get the student up to writing apps for Android devices. By the end of the course, the student will be able to write simple GU applications, use built-in widgets and components.

This course will explore the fundamental issues in designing and implementing distributed systems, such as the architectures of distributed systems, processes and threads, interprocess communication and synchronization, name solution, data consistency and replication, fault tolerance, representative distributed computing systems, and file systems.

This course is an introduction in image segmentation, image representation and description, feature detection and matching, machine learning, and object recognition. The goal of this course is to give students the understanding of how computer vision algorithms work and what algorithms can be used to solve given problems, as well as the necessary foundation to develop new computer vision algorithms.

This course provides a hands-on study of various network attacks and defending techniques, including main vulnerabilities of TCP/IP protocols, attacks on DNS servers, DoS attacks, Firewalls, VPN's, TLS and Blockchain. Basics of TCP/IP protocols and cryptography will also be covered.

This course focuses on scalable parallelism, that is, the ability of a parallel program to run well on any number of processors focusing on algorithm design techniques that are hardware independent. The course describes the principles that underlie effective and efficient parallel programs that will remain true even as the state of the art changes with an emphasis on fundamental principles of computer science such as algorithms for parallel computation.

Student works full-time during the semester for an off-campus enterprise in work that exposes the student to a work environment similar to that which will be encountered upon graduation.

This course analyzes the phases, processes and challenges of cybercrime investigations, and it examines technical, legal and social issues relating to the search and seizure of digital evidence and computer forensics.

Topics include the scientific method and research process, library utilization and components and organization of various types of research papers. Writing exercises on the latter topics. Preparation, formal written report and presentation on a research topic.

Current research issues and advanced topics involving both the principles and pragmatics of operating systems specification, design and implementation. Study of concurrent processes, support structures for modular programming, resource allocation and protection, telecommunications, networks and distributed processing.

This is an accelerated introductory computer programming course using a high-level programming language. Topics include algorithms, pseudocode, structured techniques of problem solving and program design, data structures, sorting, searching, and object-oriented design. Prior programming experience is not needed, but is highly recommended.

Advanced topics in computer architecture such as RISC vs CISC, pipelined processors, vector processors, HDLs, language directed architectures and neural nets.

Data models, distributed databases, special databases, statistical databases, database machines, knowledge bases, database design theory and self-documenting databases.

Topics on what can and cannot be proven about computational complexity including algorithm design methodologies.

The foundations of computer science are studied in order to give a better understanding of the discipline. Topics include: logic, computational models, formal languages, computability and complexity theory.

Introduction to computer graphics programming. Topics include graphics programming standards, two-and three-dimensional rendering pipelines, geometric models (including primitives, fonts, curves, and surfaces), affine transformations, orthogonal and perspective views, shading and lighting models, images and texture mapping, interactions and animations. A major project is given encompassing some or all of these concepts.

This is an introductory course in computer vision that covers the basic theory, algorithms and applications.

Introduction to the design and implementation of computer games, including real-time graphics, audio and interactive multimedia programming techniques.

Continuation of COSC 5324. Advanced game programming techniques, including 3-D graphics, 3-D audio, game physics and networking for multi-player games.

A study of networks of interacting computers. The problems, rationales and possible solutions for distributed databases will be examined. Major national and international protocols including SNA, S.21 and X.25 will be presented.

The study of the characteristics of a collection of autonomous computers linked by a network, with software designed to produce an integrated computing facility that intends to present a transparent virtual machine to application programmers.

Special topics in all areas of Computer Science with emphasis on topics not covered in other courses. May be repeated for credit when topics vary.

This course provides a hands-on study of various network attacks and defending techniques, including main vulnerabilities of TCP/IP protocols, attacks on DNS servers, DoS attacks, firewalls, VPNs, TLS and Blockchain. Basics of TCP/IP protoco;s will also be covered.

Taxonomy of parallel computers, shared-memory vs. message-passing architectures, theoretical models, parallel algorithm design strategies, parallel data structures, automatic parallelization of sequential programs, communication, synchronization and granularity.

This course provides practical experience with a company engaged in work related to a career in computer science. The purpose is career development before graduation. The course requires that the student obtain permission for Curricular Practical Training (CPT) from the International Student Office.

A continuation of COSC 5360 for a second semester.

This course provides an in-depth exploration of the phases, processes, and challenges of cybercrime investigations. It addresses the technical, legal, and social issues related to the identification, collection, and handling of digital evidence. Key topics include computer forensics, online investigations, network forensics, mobile forensics, IoT forensics, and the professional and ethical conduct required in cybercrime analysis

Independent study and research of a specific problem in a field of computer science or its application. A report is required defining the problem and developing a solution. The work may be supervised by any member of the graduate faculty. The project may be done by a team and must include an oral defense before a graduate committee of at least 3 graduate faculty members. May not be repeated for credit.

Independent research of a specific problem in a field of computer science. The work will be supervised by a member of the graduate faculty of the Computer Science Department. To be scheduled only with the consent of the department. Six hours credit required. No credit assigned until thesis has been completed and filed with the graduate dean.

Independent research of a specific problem in a field of computer science. The work will be supervised by a member of the graduate faculty of the Computer Science Department. To be scheduled only with the consent of the department. Six hours credit required. No credit assigned until thesis has been completed and filed with the graduate dean. Continuous enrollment required once work on thesis has begun.