Selected topics include sensor-based motion planning, manipulation planning, assembly planning, planning under uncertainty and robotics-inspired methods to compute functionally-relevant motions of molecular chains. Methods, tools, notations, and validation techniques to analyze, specify, prototype, and maintain software requirements. Offered by, Introduction to technologies and techniques used in modern computer games. Studies advanced programming techniques for artificial intelligence, relationship to foundational issues, and important application areas for artificial intelligence. Notes: Students who have taken CS 363 may not receive credit for, Computer subsystems and instruction set architectures. Offered by, Explores foundational issues of artificial intelligence, such as roles of knowledge and search, formalization of knowledge and inference, and symbolic versus emergent approaches to intelligence. Offered by, Basic principles and methods for data analysis and knowledge discovery. Request additional information for the online program, learn more, or apply. Required Prerequisites: (CS555B- or 555XS) and (CS571B- or 571XS).B- Requires minimum grade of B-.XS Requires minimum grade of XS. Offered by, Study of the internal architecture of database systems. The baccalaureate degree must include the following subjects: Introductory and Object-Oriented Programming (equivalent to, Computer Architecture including Assembly Language (equivalent to, Data Structures and Algorithms (equivalent to, Automata Theory and Formal Languages (equivalent to. Reinforces object-oriented programming practices. Research findings must be reported in a professionally prepared document and presented in a public meeting at the end of the semester. Offered by, Design and development of cognitive agents that learn problem-solving expertise directly from domain experts. Offered by, Capstone course focusing on design and successful implementation of major software project, encompassing broad spectrum of knowledge and skills, developed by team of students. Offered by, In-depth study of software design and implementation using a modern, object-oriented language with support for graphical user interfaces and complex data structures. Some say it is the future of the internet a broad shift in how we interact with technology, including new and more ways to collaborate in virtual worlds. Considers algorithm design and analysis for PRAM and existing SIMD and MIMD type architectures. Covers the process of formally proving that constructions meet the appropriate security definitions. Covers classic problems in data mining, such as clustering, association rule mining, and others from the point of view of scalability. Teams will explore the various facets of a complete design using sophisticated tools. Topics include design and construction of language processors, formal syntactic definition methods, parsing techniques, and code generation techniques. Topics include early visual processing, edge detection, segmentation, intrinsic images, image modeling, representation of visual knowledge, and image understanding. Offered by, Techniques and systems for communication of data between computational devices and layers of Internet Protocol Suite. Note: May not be taken for credit by students in the PhD CS program, or by students who went through the Bachelor's-Accelerated Master's in Computer Science or the Bachelor's-Accelerated Master's in Software Engineering programs. Enrollment limited to students in a Bachelor of Science degree. Required Prerequisites: (CS310C or 310XS) and (MATH203C or 203XS) and (STAT344C or 344XS).C Requires minimum grade of C.XS Requires minimum grade of XS. Presents applications to robotics, intelligent highways, inspection, forensic, and data compression. Required Prerequisites: CS310C or 310XS.C Requires minimum grade of C.XS Requires minimum grade of XS. Enrollment limited to students with a class of Graduate or Non-Degree. A PhD student in another Duke department who has not already received an MS degree "on the way to the PhD," is eligible to work towards a Computer Science Master's degree. Topics may change depending on the instructor. Offered by, Senior design project course focusing on design and successful implementation of major software project specified by an industry sponsor, encompassing broad spectrum of knowledge and skills, developed by team of students. By the end of the first year or before, you will let the DGS office know whether you want to pursue a course-only, or a project/thesis option. Applicants for the on-campus program should visit the College of Engineering & Computing for more information. (University of Oviedo)Co-founder of Plexigrid Co-founder of LEMUR Research Group Holder of the Smart Cities Chair funded by the city of Gijn General Chair of the IEEE Vehicular Power and Propulsion Conference (VPPC'2020)Coordinator of the "Erasmus Mundus Master Course in Sustainable Transportation and Power . Offered by, Covers formal definitions of security for the most common tasks: data encryption and authentication, in both the private key and public key settings. Offered by, Game design, in various electronic entertainment technologies, involves a diverse set of skills and backgrounds from narrative and art to computer programming. Applicants are provided with instructions in the application to describe the most advanced course(s) taken that cover similar material. Presents algorithms that model and simulate physical and biological systems and focuses on motion-planning algorithms for robotic systems in the presence of obstacles. Uses LISP, PROLOG, or expert system programming language. Deep learning is a Machine Learning approach based on learning data representations as opposed to designing task-specific algorithms. Rules & Requirements What is the GPA requirement to apply to the BAM program? Notes: May be repeated if topics are substantially different. . Students with a strong academic background in computer science may have CS530 and CS531 substituted for other elective courses at the discretion of the program director. Offered by, Decision-guidance systems support an iterative process of giving actionable recommendations to and extracting feedbacks from human decision-makers, with the goal of arriving at the best possible course of action. Topics include: Model selection and generalization; Overfitting and under fitting; Bayesian theory and Decision theory; Maximum Likelihood estimation, MAP; Regularization; Bias-variance tradeoff; Curse of dimensionality; Dimensionality reduction; Linear Models for classification; Probabilistic Generative Models; Probabilistic Discriminative Models; Neural Networks (Backpropagation); Deep Learning (CNNs); Kernel methods; Support Vector Machines; Ensemble Methods; Unsupervised Learning (Clustering, EM, Mixture Modeling); Reinforcement learning. Stresses professional conduct, social responsibility, and rigorous standards for software testing and reliability. Email: masongrad@gmu.edu Offered by, Data communications and networking protocols, with study organized to follow layers of Internet Protocol Suite (TCP/IP family of protocols). Topics include early visual processing, edge detection, segmentation, intrinsic images, image modeling, representation of visual knowledge, and image understanding. Applicants are provided with instructions in the application to describe the most advanced course(s) taken that cover similar material. Covers the process of formally proving that constructions meet the appropriate security definitions. Lab includes construction of language processors and experience with programming environments. Massively parallel architectures and Hadoop. Lectures and Labs are offered in groups. Enrollment is limited to students with a major, minor, or concentration in Applied Computer Science or Computer Science. Topics include open and closed multiclass queuing networks, single and multiple class Mean Value Analysis, Markov Chains, performance and availability models of Internet data centers, software performance engineering, and e-commerce performance. Focuses on data structures, recursion, backtracking, dynamic programming, and debugging. Three credits of the advanced classes may be replaced by a project. Required Prerequisites: (CS310C or 310XS).C Requires minimum grade of C.XS Requires minimum grade of XS. Programming Languages and Software Engineering, Information Security and Assurance Graduate Certificate, Software Engineering Graduate Certificate, http://cs.gmu.edu/prospective-students/ms-programs/ms-in-cs/, College of Education and Human Development, Computing Foundations Graduate Certificate, Computer Science Undergraduate Certificate, Department of Information Sciences and Technology, College of Humanities and Social Sciences, Jimmy and Rosalynn Carter School for Peace and Conflict Resolution, Applied Computer Science, BS/Computer Science, Accelerated MS, Computer Science, BS/Computer Science, Accelerated MS, AP.6.7 Bachelor's/Accelerated Master's Degrees, Object-Oriented Software Specification and Construction, Web Search Engines and Recommender Systems, Special Topics in Artificial Intelligence and Databases, Database Programming for the World Wide Web, Software Requirements Analysis and Specification, Special Topics in Programming Languages and Software Engineering, Software Engineering for the World Wide Web, Software Analysis and Design of Real-Time Systems, Directed Readings in Software Engineering, Computer Systems and Fundamentals of Systems Programming, Performance Analysis of Computer Networks, Topics in Resilient and Secure Computer Systems, Software Engineering for Real-Time Embedded Systems, Mathematical Foundations of Computer Science, Special Topics in Theoretical Computer Science, Computer Communications and Networking (to replace, Introduction to Artificial Intelligence (to replace, Theory and Applications of Data Mining (to replace, Object-Oriented Software Specification and Construction (to replace, Software Engineering for the World Wide Web (to replace, Transcripts of all post secondary education, A one-page statement of educational and career goals, Two letters of recommendation, preferably from instructors, Internationally-educated applicants must submit an. Students MUST register for a lecture and a lab from the same group. Students may also demonstrate that they have the requisite knowledge corresponding to CS530 or CS531by passing an exam. All the following requirements should be satisfied for the MS in CS degree: Before the end of the first semester, students must have a plan of study approved by their academic advisor. Welcome! It must be signed by the faculty sponsor and approved by the department chair or delegate. Computer Science offers 3 different options for an MS degree: Course-Only, Research Project, and Thesis. Program, which is designed to help develop "a Mason Graduate [who is] an engaged citizen, a well-rounded scholar, and someone who is prepared to act" (Mason . Offered by, Topics include approaches for evaluating, writing, and presenting scholarly papers, research integrity issues, and quantitative models and methods in experimental computer science. Fundamental computing concepts such as number representation, programming environments, communication tools, and basic network security measures are covered. Students must take 5 courses from the following categories: If a student in a concentration choose a thesis option, the 6 credits of CS799 MS Thesis can replace two electives or related courses in the concentration. Offered by, Discusses, from quantitative point of view, characteristics of most important technologies used to support implementation of e-business sites. Note: Students who have received credit for CS 305 or, This is the first of a two semester sequence intended for students with little or no programming experience, which introduces the field of Computer Science as well as the basics of programming commensurate with a first course in programming. Offered by, Special topics in Computer Science not occurring in regular computer science sequence. * May be taken concurrently.C Requires minimum grade of C.XS Requires minimum grade of XS. Must be approved by the faculty member, PhD-CS program director, and chair or associate chair. Notes: No more than 24 credits of, Dissertation research under the supervision of the dissertation director. This course discusses the history of computing, as well as ethical, security, and societal impacts of technology. Emphasizes TCP/IP family of protocols. Offered by, An introduction to concepts, methods, and tools for the creation of large-scale software systems. 703-993-1710 (F), Computing Foundations Graduate Certificate, Break Through Tech: For Women in Computing, Broadening Participation in Computing Plan.
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