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All source files must be open and be automatically served by a sources server. CS 6965. 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). Course work includes the creation of working programs that store and manipulate world knowledge using techniques presented in the course. May be repeated without limit. Culminates in a project that connects the algorithms and hardware developed in the course with a selected topic in the current robotics research literature. Introduces mathematical tools such as linear systems theory and Fourier analysis and uses them to motivate and explain these image processing techniques. View Northeastern University rankings for 2021 and see where it ranks among top colleges in the U.S. ... Best Colleges for Computer Science in America. Data Mining Techniques. Course work includes analysis of papers, problem sets, and a substantial term project. Studies how to identify relevant issues from the consumer or user side of account creation and management; identify expectations and liabilities for the developer or company providing a user-based account; share existing software design patterns and technologies to help you implement secure user accounts, including OAuth and anonymous accounts; and discusses UX design issues around user account creation and maintenance. 4 Hours. Discusses the methodological foundations, as well as issues of practical implementation and use. The Master of Science program in artificial intelligence (AI) is designed to give students a comprehensive framework for AI with specialization in one of five areas: vision, intelligent interaction, robotics and agent-based systems, machine learning, and knowledge management and reasoning. May be repeated up to two times. Requires admission to MS program or completion of all transition courses. Building Scalable Distributed Systems. Niche rankings are based on rigorous analysis of data and reviews. Discusses functions, relations, ordering, and equivalence relations. Students who do not meet course restrictions may seek permission of instructor. The Master of Science in Computer Science program at Northeastern University enables you to create the educational experience that best meets your career and life goals. Prof. Vespignani is a joint appointment between the College of Science, the College of Computer and Information Science, and the Bouvé College of Health Sciences. Students choose a group final project, which requires a report, to explore one aspect of artificial intelligence for games in further depth. Special Topics in Formal Methods. Presents advanced mathematical techniques for designing and analyzing computer algorithms. Supervised Machine Learning and Learning Theory. May be repeated for credit for PhD students. Assumes that students already have a basic knowledge of machine learning, optimization, and statistics. 2-4 Hours. CS 7485. Covers data management and processing—definition and background; data transformation; data import; data cleaning; data modeling; relational and analytic databases; basics of SQL; programming in R and/or Python; MapReduce fundamentals and distributed data management; data processing pipelines, connecting multiple data management and analysis components; interaction between the capabilities and requirements of data analysis methods (data structures, algorithms, memory requirements) and the choice of data storage and management tools; and repeatable and reproducible data analysis. Computer/Human Interaction. CS 6620. 4 Hours. Northwestern Computer Science intentionally positions itself as an ideal hub for interdisciplinary research by fostering a culture of inclusivity and promoting collaborations across a wide range of disciplines at our numerous top-ranked schools. Seeks to prepare students to do research in machine learning. Studies the basic components of programming languages, specification of syntax and semantics, and description and implementation of programming language features. CS 7880. Includes techniques for adding texture to surfaces using texture and bump maps, noise, and turbulence. 33 of 655. Course work includes a programming term project. Discusses performance evaluation of computer networks including performance metrics, evaluation tools and methodology, simulation techniques, and limitations. CS 6240. Offers various topics on computer systems. The goal of the Department of Computer Science is to provide individuals with a broad-based theoretical and practical understanding of Computer Science. Discusses the methodological foundations behind the models and the algorithms, as well as issues of practical implementation and use, and techniques for assessing the performance. 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. Students will complete most of the requirements of a business major, including macroeconomics and microeconomics, while also focusing on technical skills like program design, software development, computer organization, systems and networks, theories of computation, … Covers current operating system components and construction techniques including the memory and memory controller, I/O device management, device drivers, memory management, file system structures, and the user interface. 2020-21 Undergraduate PDF I've been trying to finalize what college I want to attend in the fall and was admitted into northeastern for computer science and game design. 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 7600. By studying computer science students will use computational thinking and apply programming to real world scenarios and interdisciplinary examples from science, math and teacher education. Topics include fundamentals of radio communications, channel multiple access schemes, wireless local area networks, routing in multihop ad hoc wireless networks, mobile IP, and TCP improvements for wireless links, cellular telecommunication systems, and quality of service in the context of wireless networks. Presents the different harmonizing functions needed for communication and efficient operation of computer networks and discusses examples of Ethernet, FDDI, and wireless networks. NUpath Requirements DS 5220. Offers an overview of the wide range of AI techniques that exploit knowledge of the domain and humans to facilitate interaction between humans and systems, mediate human-human interaction, leverage humans to improve system performance, and promote beneficial outcomes at the social and individual level. Offers students an opportunity to gain a strong background in the theory and practice of human-centered computing as it relates to games, immersive environments, and pedagogical applications. 4 Hours. Other topics may include World Wide Web design principles and tools, computer-supported cooperative work, multimodal and “next generation” interfaces, speech and natural language interfaces, and virtual reality interfaces. CS 6510. Computer science involves the application of theoretical concepts in the context of software development to the solution of problems that arise in almost every human endeavor. 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. CS 7200. Artificial Intelligence for Human-Computer Interaction. Offers students an opportunity to progressively construct mobile robots from a predesigned electromechanical kit. Northeastern State University ... A minor is required for the Computer Science major. ... See all Best Colleges Rankings for Northeastern University ... Forensic science is a field that focuses on using scientific methods to address legal disputes. Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. 2-4 Hours. 4 Hours. 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. 4 Hours. University Leadership. Introduces the basic design of computing systems, computer operating systems, and assembly language using a RISC architecture. Offers students an opportunity to develop effective communication skills with data by drawing from different disciplines including physics, biology, health science, social science, geography, business, and economics. A minor requires completion of five CS courses—more than enough to gain proficiency while easily fitting around your major requirements. Computer Engineering. Requires knowledge of algorithms and experience with object-oriented design or functional programming. ... Northeastern Illinois University 5500 North St. Louis Avenue Chicago, Illinois 60625-4699 (773) 583-4050 Master of Science in Computer Science from Khoury College of Computer Sciences fees, admission, eligibility, application, scholarships & ranking. Covers various aspects of data mining, including classification, prediction, ensemble methods, association rules, sequence mining, and cluster analysis. Covers big-data analysis techniques that scale out with increasing number of compute nodes, e.g., for cloud computing. Northwestern Computer Science intentionally positions itself as an ideal hub for interdisciplinary research by fostering a culture of inclusivity and promoting collaborations across a wide range of disciplines at our numerous top-ranked schools. Topics include computer forensics, network forensics, user interface design, backups, logging, economic factors affecting adoption of security technology, trust management, and related public policy. Offers an introductory course on fundamentals of programming and data structures. May be repeated without limit. Introduces Turing machines, P and NP classes, polynomial-time reducibility, and NP completeness. As a CS Align student, you’ll take advantage of rigorous academic bridge courses that prepare you for master’s level coursework. Introduces fundamental techniques for low-level and high-level computer vision. Discusses the components of game engines and strategies for their software implementation. Special Topics in Theoretical Computer Science. CS 5100. Our programs provide a strong technical foundation and an essential understanding of computing concepts while integrating computer and data sciences across disciplines and industries. Data science is at the intersection of statistics, machine learning, and software development. Northeastern University is a private college that was established in 1898.Up until the fall of 2018, the academic staff was 1,830. CS 7780. 4 Hours. The program is designed to provide students with foundational knowledge in data science—including data management, machine learning, data mining, statistics, and visualizing and communicating data—that can be applied to data-driven decision making in any discipline. Introduces the fundamentals of two-dimensional and three-dimensional computer graphics, with an emphasis on approaches for obtaining realistic images. Programming Design Paradigm. Since 2012, the Khoury College of Computer Sciences has hired 30 outstanding faculty members and plans to continue this strategic growth in the coming years, advancing its position among the nation’s top research universities. For the most up-to-date information about current admissions programming, please visit. 0 Hours. Computer science as a discipline draws its inspiration from mathematics, logic, science, and engineering. The computer science and business administration combined major delivers a technical degree with a strong grounding in business. Requires knowledge of linear algebra. 2 Hours. 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. Computer Science For All. Statistical Methods for Computer Science. Offers an introductory course on the basics of statistics, probability, and linear algebra. Includes a course project where some of the software engineering methods (from requirements analysis to testing) are applied in a team-based setting. Northeastern University’s Master of Science in Computer Science is designed to prepare students for a variety of careers in computer science. Scalability is an essential quality of internet-facing systems and requires specialized skills and knowledge to build systems that scale at low cost. Explores how the scientific method is applied to these fields and covers the breadth of subareas of specialty that exist. Introduces the mathematical structures and methods that form the foundation of computer science. Requires knowledge of computer graphics, differential calculus, operating systems concepts, and algorithms. The total number of students admitted was 27,391 by the fall of 2019.The number of undergraduates was 18,359 and the number of … Topics discussed in the context of next-generation interaction modalities include sensors, haptics, wearables, and performative interfaces. Offers students an opportunity to learn team management and communication. Northeastern University, Mathematics, and Khoury College of Computer Sciences, Northeastern University Position ID: NEU-TTTFY21 [#16895] Position Title: Asst./Assoc./ Full Professor of Mathematics and/or Computer Science Position Type: Tenured/Tenure-track faculty Position Location: Boston, Massachusetts 02115, United States  Subject Areas: Data Science, Machine Learning, … Our goal is to equip students with knowledge as diverse as it is deep. Course work emphasizes hands-on programming experience with modern state-of-the-art big-data processing technology. Offers selected work with the agreement of a project supervisor. Topics include asymptotic analysis, advanced data structures, dynamic programming, greedy algorithms and matroid theory, amortized analysis, randomization, string matching, algebraic algorithms, and approximation algorithms. The goal of the certificate is to provide foundational knowledge in computer science that is valuable in both the workplace for career advancement as well as to those looking to move into graduate programs within the discipline. Describes caches and virtual memory. Draws examples from real operating systems. Those who need the foundational coursework must complete an additional 16 credits in the year prior to taking MBA concentration classes. Offers an overview of classical and modern approaches to artificial intelligence in digital games. To that end, the undergraduate program focuses on the fundamentals of program design including object-oriented design, software development, computer organization, systems and networks, theory of computation, principles of languages, and advanced algorithms and data. 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. Covers the algorithms, core principles, and foundational concepts for managing data at scale. Covers the principles of human-computer interaction and the design and evaluation of user interfaces. CS 7480. 4 Hours. The course is self-contained; no prior knowledge of information theory is required or assumed. Studies rendering of three-dimensional scenes composed of spheres, polygons, quadric surfaces, and bi-cubic surfaces using ray-tracing and radiosity. 4 Hours. Student Life. Offers a gentle introduction to techniques for processing big data. A semester-long project requires students to translate the domain science or technology problem into the language of data science; design, evaluate, implement, and deploy both static and interactive visualizations of data and data analysis results; translate the results into the language of the original science or technology problem; communicate the findings in oral and written form; and provide constructive criticism of other examples of data communication and visualization. Challenges conventional wisdom and encourages students to discover ways that security, privacy, and usability can be made synergistic in system design. 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. Intensive Computer Systems. Topics covered include evaluation of information retrieval systems; retrieval, language, and indexing models; file organization; compression; relevance feedback; clustering; distributed retrieval and metasearch; probabilistic approaches to information retrieval; Web retrieval; filtering, collaborative filtering, and recommendation systems; cross-language IR; multimedia IR; and machine learning for information retrieval. Knowledge-Based Systems. Facebook’s investment includes funds for 200 scholarships for students in Northeastern’s Align program, which provides people who didn’t study computer science in college with a pathway to earning a master’s degree in the field. Contrasts the use of inheritance and composition as dual techniques for software reuse—forwarding vs. delegation and subclassing vs. subtyping. ; program design, programming practices, testing, debugging, maintainability, data collection techniques, and data cleaning and preprocessing. 4 Hours. Provides an introduction to information retrieval systems and different approaches to information retrieval. CS 5500. May be repeated for credit for PhD students; faculty supervisor and topics vary from semester to semester. Students who complete the Computer Science degree program are prepared to pursue graduate study or to pursue careers in software engineering and technical programming. Northeastern University's official news source Hao li, a graduate student studying data analytics and engineering, works in Khoury College of Computer Sciences. Explores, as the main component of the course, how to take a few well-studied problems in number theory and algebra and use them to build powerful cryptosystems with advanced functionality and security properties. Offers students an opportunity to obtain an understanding of the Scrum methodology for managing software projects using lean principles. Mobile Application Development. 4 Hours. 7 of 405. Shows which aspects of Scrum are required and how they manage project risk. I love their location in Boston, their computer science program seems solid and I really appreciate that they have the chance of co-op available. May be repeated up to three times. CS 5005. Introduces modeling concepts, emphasizing queuing theory, including Little’s theorem, M/M/1, M/M/m, M/D/1, and M/G/1 queuing systems. The computer science elective is not required if the student has completed the computer science capstone (above). Students will engage in extensive coursework intended to develop depth in data collection, storage, retrieval, manipulation, visualization, modeling, and interpretation. Offers special topics in data science, including machine learning, statistics, data mining, parallel and distributed data analysis, database systems, information retrieval, knowledge representation, information visualization, natural language processing, computational biology and bioinformatics, computational social science, digital humanities, health informatics, business, and predictive analytics. CS 6535. 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. CS 5180. 0 Hours. 4 Hours. As a CS Align student, you’ll take advantage of rigorous academic bridge courses that prepare you for master’s level coursework. Reviews some of the material covered in CS 5800 and then covers advanced topics. Requires a project that addresses some recent research issues in wireless and mobile networking. Support and Services page. Formal Specification, Verification, and Synthesis. Covers lists, arrays, trees, hash tables, etc. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that … Computer science has revolutionized many disciplines and it is no longer only for computer scientists. Discusses distributed operating systems, real-time systems, and addresses concurrent processes, scheduling, interprocess communication, and synchronization. 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. Focuses on graphical models, latent variable models, Bayesian inference, and nonparametric Bayesian methods. From undergraduate minors to PhDs—and from core computer science focus areas to interdisciplinary combined majors (CS+X)—our flexible programs enable you to create your own path. From these roots, computer science has fashioned paradigms for program structures, algorithms, data representations, efficient use of computational resources, robustness and security, and communication within computers and across networks. 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 … At Northwestern University’s Department of Computer Science, we aim to lead that change. CS 7810. 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. Starts with functional program design, introducing the notion of a design recipe. Focuses on algorithmic design paradigms and techniques for analyzing the correctness, time, and space complexity of algorithms. 4 Hours. Privacy and Security of User Accounts: Patterns and Best Practices. Prior to joining Northeastern, she was an assistant professor at the School of Interactive Arts and Technology at Simon Fraser University (2007-2011). Emphasizes theoretical underpinnings of techniques used for the design, explaining how it generalizes and contrasts with functional design! Decidability, and path planning Find A-Z • Emergency information • Search concept of reductions,,... Paradigms and techniques for low-level and high-level computer vision team must also create extensive documentation of their dissertation computer! Interprocess communication, and testing from psychology and computer science is to provide individuals with a strong in. 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