GMU Computer Science

This course is intended to help students learn to think in the manner necessary to fully grasp the n

Offers a broad overview of computer science designed to provide students with an introduction to the

Intensive introduction to legal, social, and ethical issues surrounding software development and com

Rigorous introduction to problem solving through development of computer programs. Focuses on identi

Discusses the underlying computer science concepts behind existing and emerging technologies (such a

Thorough treatment of programming according to object-oriented principles. Introduces classes, inter

Introduces object-oriented programming and elementary data structures. Emphasis on problems and lang

Explores the theory, history, culture, and lore of games with particular emphasis on the varieties o

Advanced programming using Java programming language. Other languages may be offered at times.

Introduction to the language C, as well as operating system concepts, in UNIX, to prepare students f

Practical course to become effective computer professional. Examines legal and ethical issues surrou

Focuses on object-oriented programming with an emphasis on tools and techniques for developing moder

An introduction to concepts, methods, and tools for the creation of large-scale software systems. Me

Game design, in various electronic entertainment technologies, involves a diverse set of skills and

Abstract concepts that underlie much advanced work in computer science, with major emphasis on forma

In-depth study of software design and implementation using a modern, object-oriented language with s

Focuses on programming essential mathematical and geometric concepts underlying computer graphics. C

Introduces students to computer systems from a programmer's perspective. Topics include data represe

This course introduces students to the research and project design process within the computing fiel

Programming-intensive lab course. Students refine problem-solving and programming skills while gaini

Introduction to technologies and techniques used in modern computer games. Teams will explore the va

Project-orientated continuation of CS 425 with an emphasis on the implementation of a complete game.

Survey of basic programming language processors and software development tools such as assemblers, i

Introduces computational methods in molecular biology. Covers a broad array of topics in bioinformat

Fundamental principles and techniques for implementing computational algorithms to solve problems in

Covers basics to intermediate knowledge for the design, implementation, and use of relational databa

Basic graphics principles and programming. Topics include scan conversion, transformation, viewing,

Data communications and networking protocols, with study organized to follow layers of Internet Prot

Key programming mechanisms described independently of particular machines or languages, including co

Computer subsystems and instruction set architectures. Single-cycle, multiple-cycle, and pipeline ar

Fundamental principles and techniques for implementing secure computer systems. Topics include secur

Covers the software subsystems that are involved in defending computer systems. Studies threats and

Issues in multiprogramming. Covers concurrent processes and synchronization mechanisms; processor sc

Practical issues in designing and implementing concurrent and distributed software. Topics include c

This project based course will teach fundamental principles of software development for the mobile d

Principles and methods for knowledge representation, reasoning, learning, problem solving, planning,

Basic principles of visual perception and their implementation on computer systems. Topics include e

Analyzes computational resources for important problem types by alternative algorithms and their ass

Basic principles and methods for data analysis and knowledge discovery. Emphasizes developing basic

Covers various basic topics in autonomous robotics, such as autonomous architectures and their inter

Capstone course focusing on design and successful implementation of major software project, encompas

Research and analysis of selected problems or topics in computer science. Topic must be arranged wit

Techniques to store, manage, and use data including databases, relational model, schemas, queries an

This course focuses on the topics of basic mathematical structures, mathematical logic and probabili

Introduces systems and network programming for UNIX and Windows using lectures and hands-on labs. Co

Basic programming language processors such as assemblers, interpreters, and compilers. Topics includ

An introduction to database management with focus on architecting databases and using them in applic

Graphics principles and programming. Topics include graphics hardware, antialiasing, transformations

Techniques and systems for communication of data between computational devices and layers of Interne

Models of operating systems. Major functions including processes, memory management, I/O, interproce

Principles and methods for knowledge representation, reasoning, learning, problem solving, planning,

Topics include analyzing sequential and parallel algorithmic strategies such as greedy methods, divi

Concepts and techniques in data mining and multidisciplinary applications. Topics include databases;

Introduction to logic and proof techniques, formal languages, automata theory, and computational com

Covers fundamental principles and techniques for implementing computational algorithms to solve prob

Provides an overview of advanced algorithm design and analysis techniques. Topics include algorithms

Basic principles and methods for computing in field of geometric modeling. Emphasizes data structure

Covers three major parallel computing paradigms: MIMD computation, SIMD computation, and data flow c

Examines advanced compiler techniques such as code optimizations for sequential and parallel machine

Study of the internal architecture of database systems. Topics include: physical data organization

Covers the techniques to mine large datasets, including Distributed File Systems and Map-Reduce, sim

Topics covered in lecture are: networked virtual environment overview, networking technology, networ

Addresses some graphics game techniques including collision detection, levels of detail, physics-bas

Basic principles and methods for automatic authentication of individuals. Technologies include face,

Theory and practice of analytical models of computer systems. Topics include open and closed multicl

Focuses on technological and development environments in developing multimedia applications. Project

Covers advanced techniques for managing, searching, and mining of various types of data such as text

Issues in design and implementation of distributed systems and applications. Topics include distribu

Design, construction, and evaluation of software systems that solve problems generally deemed to req

Study of computational models of visual perception and their implementation in computer systems. Top

Examines design and analysis of parallel algorithms. Material focuses on algorithms for both theoret

Data structures and analytical techniques to study graph algorithms. Data structures include disjoin

Reviews developments in intelligent autonomous systems. Studies applications of artificial intellige

Concepts and techniques in image processing. Discusses methods for image capture, transformation, en

Explores foundational issues of artificial intelligence, such as roles of knowledge and search, form

Explores statistical pattern recognition and neural networks. Pattern recognition topics include Bay

Covers topics from artificial intelligence, algorithms and databases. Presents algorithms that model

Special topics in computer science not occurring in regular computer science sequence.

Students may undertake a course of study under supervision of consenting faculty member. Students us

Integrated treatment of models and practices in experimental computer science. Topics include scient

Topics include concurrent programming languages and constructs, and specification, design, verificat

Discusses, from quantitative point of view, characteristics of most important technologies used to s

Advanced graphics methods and tools. Topics include visualization, modeling, rendering, animation, s

Current and emerging issues in advanced computer networks and applications. Topics include software

Analytical and simulation techniques for modeling and analyzing computer networks. Examines elementa

Real-time systems and principles supporting design and implementation. Emphasizes fundamental result

Studies recent advances in development of machine vision algorithms and knowledge-based vision syste

Covers statistical pattern recognition, neural network, and statistical learning theory approaches.

Current and emerging issues in human-computer intelligent interaction, and human-centered systems an

Covers study of alternate computer security, including how these methods can be combined in a layere

Surveys machine learning concerning development of intelligent adaptive systems that are able to imp

Decision-guidance systems support an iterative process of giving actionable recommendations to and e

Studies self-managing, self-optimizing, self-configuring, self-tuning, self-healing, and self-protec

Advanced topics not occurring in regular sequence.

Master's degree candidates undertake a project using knowledge gained in MS program.

Original or expository work evaluated by committee of three faculty members.

Students are required to attend colloquia including talks by distinguished speakers, faculty candida

Presents unifying principles that underlie diverse methods, paradigms, and approaches to machine ear

Discussion of current research topics in computer systems. Topics vary according to faculty interest

Special topics in artificial intelligence not occurring in regular computer science sequence. Notes:

Covers recent developments. Topics motivated by applications to autonomous robotic systems, mobile r

Advanced topics not occurring in regular sequence.

Reading and research on a specific topic under the direction of a faculty member.

Students put together a professional presentation of a research proposal and present it for critique

Work on a research proposal that forms the basis for a doctoral dissertation.

Dissertation research under the supervision of the dissertation director.