Special Topics in Data Visualization. Successful program graduates will be well-positioned to attain data scientist and data engineer positions in a fast-growing field or to progress into doctoral degrees in related disciplines. CS 5083. After an introduction to the ACL2 programming language and theorem prover, offers students an opportunity to redesign interactive games (e.g., “Space Invaders”) and work on turning them into reliable projects. PhD Candidacy Achieved. Explores the use of data-driven software design. Usability and security are widely seen as two antagonistic design goals for complex computer systems. Studies structures such as sets, tuples, sequences, lists, trees, and graphs. Northeastern University’s Center for Inclusive Computing has awarded the first round of grant funding to six higher education institutions, in order to help recruit and retain more women in their computer science programs and boost the representation of women in the field as a whole.. Uses case studies such as PGP, S/MIME, and SSL. Covers the algorithms, core principles, and foundational concepts for managing data at scale. Emphasizes theoretical underpinnings of techniques used to solve problems arising in diverse domains. Includes a class project, where students use the concepts covered to collect data from the web, clean and preprocess the data, and make it ready for analysis. The Northeastern University Align program provides a direct path to a Master of Science in Computer Science (MSCS) for non-computer science majors without programming experience. Covers the interface between assembly language and high-level languages, including call frames and pointers; the use of system calls and systems programming to show the interaction with the operating system; and the basic structures of an operating system, including application interfaces, processes, threads, synchronization, interprocess communication, deadlock, memory management, file systems, and input/output control. A minor requires completion of five CS courses—more than enough to gain proficiency while easily fitting around your major requirements. 4 Hours. Presents a comparative approach to object-oriented programming and design. Topics include parser generation, abstract syntax trees, symbol tables, type checking, generation of intermediate code, simple code improvement, register allocation, run-time structures, and code generation. Short Bio: Magy Seif El-Nasr is an Associate Professor in the Colleges of Computer and Information Sciences and Arts, Media and Design at Northeastern University. CS 6350. Students who complete the program are prepared to pursue graduate study or to assume positions which include software engineering, technical programming, and the application of computers and related technologies to problems in industry such … Department of Marine and Environmental Sciences. The Postbaccalaureate Certificate in Computer Science will serve as the foundational premaster's courses in the ALIGN program. The program combines both computing and important application domains—enabling students to increase their broad-based knowledge in the field while focusing on one curricular concentration selected from a range of options including artificial intelligence, computer-human interaction, graphics, programming languages, software engineering, data science, networks, theory, game design, systems, and information security. Designed to integrate academic concepts and practical experience of software design by having students work as part of a programming team, with an option to lead a subteam. Covers various topics including advanced cryptography, approximation algorithms, complexity theory, computational algebra, distributed computing, formal verification, network algorithms, online computation, parallel computing, and randomness and computation. The goal of the undergraduate program in computer science is to teach students the conceptual and practical skills that will enable them to contribute to the development of computational principles and to play a productive role in the software community. Introduces distributed operating systems. The computer engineering major acquires a strong foundation in engineering principles and the physical sciences in addition to a powerful mix of theory and practice in hardware and software design. Khoury College of Computer Sciences and the Department of Electrical and Computer Engineering (ECE) jointly offer an interdisciplinary Master of Science program in data science. The Master of Science in Computer Science, offered by Northeastern's Khoury College of Computer Science, is designed to prepare students for a variety of careers in computer science. Provides a small-group discussion format to cover material in CS 5001. 4 Hours. CS 6620. 4 Hours. Combines classroom material delivered via lectures, readings from literature, student presentations, and a semester-long software project. Seventeen faculty members have joint appointments with other colleges and schools, including engineering, science, business, social sciences and humanities, health sciences and arts, and media and design. 4 Hours. Gives students the opportunity to read and present various survey and research papers in artificial intelligence. Application of Information Theory. CS 7775. Course Duration (Or Credits) 24 months (Or 30) Program Link You can know more about this program on the university website. Provides a broad look at a variety of techniques used in machine learning and data mining, and also examines issues associated with their use. 4 Hours. CS 7780. Covers the essential elements of distributed, concurrent systems and builds upon that knowledge with engineering principles and practical experience with state-of-the-art technologies and methods for building scalable systems. Offers an overview of classical and modern approaches to artificial intelligence in digital games. Focuses on graphical models, latent variable models, Bayesian inference, and nonparametric Bayesian methods. Offers students an opportunity to learn about the design of layout algorithms for node-link and matrix visualizations. Presents materials in the current machine learning literature. Covers principles of proof such as truth tables, inductive proof, and basic logic and the counting techniques and arguments needed to estimate the size of sets, the growth of functions, and the space-time complexity of algorithms. Support and Services page. ... Northeastern University College of Science. 4 Hours. Professor Seif El-Nasr directs the PLAIT (Playable Innovative Technologies) Lab. Statistical Methods for Computer Science. Those who need the foundational coursework must complete an additional 16 credits in the year prior to taking MBA concentration classes. Offers various topics. CS 7140. Covers the foundational principles for visual representations, including human vision and perception and basic interactivity. Building Scalable Distributed Systems. Introduces the fundamentals of two-dimensional and three-dimensional computer graphics, with an emphasis on approaches for obtaining realistic images. These methods help provide objective answers to questions about the usability, effectiveness, and acceptability of systems. CS 6650. There is more contact with professors as the professors themselves are responsible for all grading and all extra help—we do not have T.A.s for our courses. 4 Hours. But, if you are a high school student, undergrad, or adult learning more about Northeastern as a prospective college for a B.S. Introduces visual encoding of data and our understanding of human vision and perception; interaction principles including filtering, pivoting, aggregation; and both quantitative and human subjects evaluation techniques. Students may work in teams with the permission of the instructor. But, if you are a high school student, undergrad, or adult learning more about Northeastern as a prospective college for a B.S. CS 6510. May be repeated without limit. May be repeated up to two times. Contact Giving Digital Image Processing. Send data or Report errors. Build CS skills fast with gold standard ‘bridge courses’. 4 Hours. Coreq CS 5001. Seeks to prepare students to do research in machine learning. The field merges theories from psychology and computer science, using methods from AI and design. Topics include computational models of grammar and automatic parsing, statistical language models and the analysis of large text corpuses, natural language semantics and programs that understand language, models of discourse structure, and language use by intelligent agents. Discusses performance evaluation of computer networks including performance metrics, evaluation tools and methodology, simulation techniques, and limitations. Gives students the opportunity to read and present various survey and research papers in cryptography and computer security. Covers why you don’t want to build this functionality yourself and how you can use existing tools and technologies that shield you from liability for storing user data. 32 of 821. Studies network protocols, focusing on modeling and analysis, and architectures. The industry the PDF will include all information unique to this page # 12 focusing. These can be applied to application design empirical research within computer science we... 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