Presents the different harmonizing functions needed for communication and efficient operation of computer networks and discusses examples of Ethernet, FDDI, and wireless networks. See Accelerated Bachelor/Graduate Degree Programs. Shows which aspects of Scrum are required and how they manage project risk. Provides small-group discussion format to cover material in CS 5010. Northeastern University’s Master of Science in Computer Science is designed to prepare students for a variety of careers in computer science. The program combines both computing and important application domains. CS 4500. Requires students to give a twenty- to thirty-minute formal presentation on a topic of their choice in computer science. 4 Hours. The Office of Undergraduate Research and Fellowships (URF) fosters a culture of undergraduate research and creative endeavor—broadly defined—at Northeastern University. Requires admission to MS program or completion of all transition courses. Students analyze and reflect on literature, case studies, and real examples of teaching computer science. Recitation for CS 5004. Innovative Curriculum. Covers topics from the course through various experiments. Game Artificial Intelligence. 4 Hours. Studies how to improve query efficiency using index techniques such as B+-tree, hash indices, and multidimensional indices. Fosters a deeper understanding of the principles of object-oriented programming and design including software components, object-oriented design patterns, and the use of graphical design notations such as UML (unified modeling language). 4 Hours. Northeastern integrates global experience into learning at the undergraduate, graduate, and doctoral levels. Informed by experience and inspired by the constantly evolving tech landscape, Khoury College of Computer Sciences engages learners at every level. Foundation Courses . System Specification, Verification, and Synthesis. Students may work in teams with the permission of the instructor. The ability to frame problems, select computational models, design program structures, and develop efficient algorithms is as important in computer science as software implementation skill. Requires admission to MS program or completion of all transition courses. Studies how to design and develop intelligent interaction technologies while also critically assessing their social and ethical impact. 2020-21 Graduate PDF Experiential Learning Experiential learning is the heart of a Northeastern education, combining rigorous coursework with hands-on experience in the classroom, in the lab, and in the field—locally and abroad. Accompanies CS 1800. Introduces the basic design of computing systems, computer operating systems, and assembly language using a RISC architecture. In all concentrations, up to one Research (CS 4991) course can be substituted with advisor approval. CS 3620. Advanced Theory of Computation. CS 4700. The computer science and physics combined major brings together three disciplines: computer science, physics, and mathematics. Topics may include asymptotic notation, recurrences, loop invariants, Hoare triples, sorting and searching, advanced data structures, lower bounds, hashing, greedy algorithms, dynamic programming, graph algorithms, and NP-completeness. Introduces the fundamentals of two-dimensional and three-dimensional computer graphics, with an emphasis on approaches for obtaining realistic images. Offers students an opportunity to learn from sponsor feedback, review 'lessons learned,' and incorporate suggestions from this review to improve and further develop their career development and professional plan. Exposes students to the system concepts through programming exercises. 1 Hour. The computer science and mathematics combined major was the first dual major created by the college. Describes lock table structure. CS 5083. Relevant for anyone who wants to create an application or service with a user registration and login page. 0 Hours. Examines image formation, early processing, boundary detection, image segmentation, texture analysis, shape from shading, photometric stereo, motion analysis via optic flow, object modeling, shape description, and object recognition (classification). Northeastern University’s Master of Science in Computer Science is designed to prepare students for a variety of careers in computer science. CS 5100. Recitation for CS 1800. Lifelong Learning. CS 2510. Northeastern University’s Master of Science in Computer Science is designed to prepare students for a variety of careers in computer science. Studies the fundamental concepts of digital image processing including digitization and display of images, manipulation of images to enhance or restore image detail, encoding (compression) of images, detection of edges and other object features in images, and the formation of computed tomography (CT) images. Covers the interface between assembly language and high-level languages, including call frames and pointers. Offers a lecture course in computer science on a topic not regularly taught in a formal course. Mobile and Wireless Systems. In addition to studying program design, students also have an opportunity to practice pair-programming and public code review techniques, as found in industry today. Considers ASP.NET, C#, HTTP, HTML, CSS, XML, XSLT, JavaScript, AJAX, RSS/Atom, SQL, and Web services. Also complete any corequisite labs, recitations, clinicals, or tools courses where specified and complete any additional courses needed beyond specific college and major requirements to satisfy graduation credit requirements. Considers software development as a systematic process involving specification, design, documentation, implementation, testing, and maintenance. Course work includes formal and mathematical analysis of language models and implementation of working programs that analyze and interpret natural language text. The program combines both computing and important application domains. 4 Hours. Also covers the counting techniques and arguments needed to estimate the size of sets, the growth of functions, and the space-time complexity of algorithms. CS 1210. The rigorous curriculum of the PhD program provides a broad background in the fundamentals of computer science, advanced courses in your focus area, and an intensive research experience. Students must earn a minimum of 60 Northeastern University semester hours in order to receive a bachelor’s degree. / Academics / Undergraduate Studies Undergraduate Studies The chemical engineering program offers students a broad education built on fundamentals in science, mathematics, and engineering, which are then applied to a variety of contemporary problems using modern tools, such as computational software and computer-aided design. The program takes two and a half years to complete and is tailored to students with diverse Find Faculty & Staff • Continues the preparation of students for careers in the computing and information fields by discussing co-op and co-op processes. Fundamentals of Computer Networking. Foundations of Software Engineering. Offers students an opportunity to practice reading and discussing scientific literature, presenting scientific work, and distilling the key ideas and contributions of papers through required weekly paper summaries. Discusses memory management; user interface building, including both MVC principles and specific tools; touch events; data handling, including core data, SQL, XML, and JSON; network techniques and URL loading; and, finally, specifics such as GPS and motion sensing that may be dependent on the particular mobile platform. 4 Hours. Considers ASP.NET, C#, HTTP, HTML, CSS, XML, XSLT, JavaScript, AJAX, RSS/Atom, SQL, and Web services. Students who complete the Computer Science degree program are prepared to pursue graduate study or to pursue careers in software engineering and technical programming. Concludes with a discussion of the relationship of the topics in this course to complexity theory and the notion of the hardness of problems. Seeks to benefit students with a curriculum that supports the development of key business communication skills, project and client management skills, and frameworks for business analysis. Focuses on the creation of believable agents and environments with the goal of providing a fun and engaging experience to a player. CS 5400. Includes exercises using a commercial relational or object-relational database management system. Discusses functions, relations, ordering, and equivalence relations. Includes a course project where some of the software engineering methods (from requirements analysis to testing) are applied in a team-based setting. See if Northeastern University is ranked and get info on programs, admission, tuition, and more. Artificial Intelligence for Human-Computer Interaction. In addition to the university’s signature cooperative education program, experiential opportunities include research, service CS 4850. Contrasts the use of inheritance and composition as dual techniques for software reuse: forwarding vs. delegation and subclassing vs. subtyping. Includes techniques for adding texture to surfaces using texture and bump maps, noise, and turbulence. CS 2500. Recitation for CS 5010. Northeastern’s comprehensive array of undergraduate and graduate programs— in a variety of on-campus and online formats—lead to degrees through the doctorate in nine colleges and schools. Computer Science Concentrations Pick one of the following concentrations and complete four courses in that concentration. The PhD in Computer Science program provides students with the advanced coursework and groundbreaking research opportunities they need to contribute at the forefront of the world’s fastest-growing fields. “There are an enormous amount of challenging and exciting problems that people can work on, [which makes] the field is invariably interesting.” 4 Hours. Offers students an opportunity to obtain an understanding of the Scrum methodology for managing software projects using lean principles. Examples of such systems are operating systems, game servers, and Web browsers. Presents the different harmonizing functions needed for the communication and effective operation of computer networks. Covers fundamental concepts, techniques, and algorithms in computer-aided reasoning, including propositional logic, variants of the DPLL algorithm for satisfiability checking, first-order logic, unification, tableaux, resolution, Horn clauses, congruence closure, rewriting, Knuth-Bendix completion, decision procedures, Satisfiability Modulo Theories, recursion, induction, termination, Presburger arithmetic, quantifier elimination, and interactive theorem proving. Topics may vary from offering to offering. Across a culture of respect and equity, we are solving the greatest challenges of our planet, with groundbreaking fundamental and applied research. Focuses on the software development issues of integrating multiple languages, assorted data technologies, and Web interaction. 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