0 Hours. Covers foundational as well as contemporary topics of interest in data visualization to enable the effective representation of data across disciplines, including examples drawn from computer science, physical sciences, biomedical sciences, humanities, and economics. Through a cohort-based learning model, the Align Master of Science in Computer Science (MSCS) provides a supportive community of engaged peers. CS 7170. Thesis Continuation. Introduces the different subsystems used to create a 3D game, including rendering, animation, collision, physics, audio, trigger systems, game logic, behavior trees, and simple artificial intelligence. No prior programming experience is assumed; therefore, suitable for freshman students, majors and nonmajors alike who wish to explore the intellectual ideas in the discipline. 300 Level courses. Our undergraduate programs are led by faculty with deep professional experience in their fields, who will guide you towards the knowledge and … PhD Candidacy Achieved. Research labs and groups focus on a set of problems in a specific context, inviting inquiry and collaboration. Programming Design Paradigm. Topics include relational algebra, SQL, stored procedures, user-defined functions, cursors, embedded SQL programs, client-server interfaces, entity-relationship diagrams, normalization, B-trees, concurrency, transactions, database security, constraints, object-relational DBMSs, and specialized engines such as spatial, text, XML conversion, and time series. Bottlenose is a web-based assignment submission and grade tracking tool for Computer Science courses. May be repeated up to three times. All tuition and fees are subject to revision by Northeastern University’s Board of Trustees. 2-4 Hours. Provides small-group discussion format to cover material in CS 5010. Discusses the components of game engines and strategies for their software implementation. Offers an opportunity to learn to translate statements about the behavior of computer programs into logical claims and to gain the ability to prove such assertions both by hand and using automated tools. 4 Hours. CS 7480. Recitation for CS 1800. 0 Hours. Welcome to the Align Master’s Program, designed for people ready to add computer science (CS) to their skill set—or switch to a brand new career in tech. Provides an opportunity for all doctoral students to engage in industry research in the area of their dissertation. Fundamentals of Computer Science 1. CS 4910. Studies affective computing—computing that relates to, arises from, or influences emotions. We are here to support you at every turn. Offers students at the PhD level an accelerated introduction to cryptography and quickly progresses to advanced topics that are at the forefront of current research. CS 1801. Accompanies CS 2510. Khoury College is a community of people devoted to teaching, mentoring, advising, and supporting students across every program. May be repeated up to two times. Covers visualization techniques for several network types, including multivariate networks with attributes for entities and relationships, evolving and dynamic networks that change over time, heterogeneous networks with multiple types of entities, and geospatial networks. May be repeated once. Gives students the opportunity to read and present various survey and research papers in artificial intelligence. Recitation for CS 5010. Students are expected to have a working knowledge of probability, to complete programming assignments, and to complete a course project that applies some form of reinforcement learning to a problem of interest. As a Khoury PhD student, you’ll immerse yourself in a rigorous curriculum, collaborate with renowned faculty, and make an impact in your chosen research area. Covers topics in advanced machine learning. Offers students an opportunity to progressively construct mobile robots from a predesigned electromechanical kit. Discusses hardware issues: size and speed; lines, polygons, and regions; modeling, or objects and their relations; viewing, or what can be seen (visibility and perspective); rendering, or how it looks (properties of surfaces, light, and color); transformations, or moving, placing, distorting, and animating and interaction, or drawing, selecting, and transforming. Noah Lichtenstein, BS, computer engineering and computer science, says the integrated way of learning and experience with co-op will allow him to jump in to a job when he graduates. Includes applications to popular machine-learning methods, including Bayesian models and neural networks. Provides in-depth coverage of data link control, medium access control, routing, end-to-end transport protocols, congestion and flow control, multicasting, naming, auto configuration, quality of service, and network management. Discusses issues arising from concurrency and distribution, such as scheduling of concurrent processes, interprocess communication and synchronization, resource sharing and allocation, and deadlock management and resolution. Covers basic algorithmic paradigms (e.g., greedy, divide-and-conquer, and dynamic programming); graph algorithms; optimization; computational Intractability (e.g., NP-completeness, PSPACE-completeness); randomized algorithms; and approximation algorithms. Studies deep learning and its applications, including methods to model complex spatiotemporal data, composing graphical models and neural networks for structured representations, advances in the theoretical and systems aspects of deep learning, techniques for making deep learning robust to adversarial manipulation, as well as explaining black-box deep learning models to enhance their transparency. Login with your Khoury College username and password Username Introduces the mathematical structures and methods that form the foundation of computer science. Offers students an opportunity to develop career goals, to learn to identify and acquire the tools and ability to assess what they know and need to know in relation to achieving their career goals, and to justify what they need to learn through their co-op/internship experience to transfer to/from their academic program to future career. Foundations of Cryptography. Offers various topics on artificial intelligence. Students who do not meet course restrictions may seek permission of instructor. Welcome to Bottlenose. 2 Hours. Introduction to Computer Science. Professional Development for Khoury Co-op. Accompanies CS 3000. 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. Coreq CS 5001. CS 6965. 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. Describes caches and virtual memory. 4 Hours. Culminates with a final capstone project in which students prepare and present a lecture on a topic in computer science. Our Master of Science in Computer Science program is a technical, highly marketable degree that combines courses on computing fundamentals with cutting-edge applications of computer science—all to prepare you for a job in Silicon Valley and beyond. 4 Hours. 4 Hours. 4 Hours. CS 7610. Example topics include use of new hardware such as GPUs on video boards, use of new software tools for multicore computing, development of check-pointing packages for more robust long computations, software for GUI window systems, and cloud computing. 4 Hours. Offers students an opportunity to participate within in-class activities to learn presentation skills, to practice speaking to different audience sizes, and to learn how to work with different types of audiences. For future semesters, students may view our projected teaching plan.Students may also look at the current semester's course homepages.Students can also look at our list of concentration areas to choose their CS electives. Studies the methods and ideas in linear algebra, multivariable calculus, and statistics that are most relevant for the practicing computer scientist doing machine learning, modeling, or hypothesis testing with data. CS 3500. Covers the foundations of software engineering, including software development life cycle models (e.g., waterfall, spiral, agile); requirements analysis; user-centered design; software design principles and patterns; testing (functional testing, structural testing, testing strategies); code refactoring and debugging; software architecture and design; and integration and deployment. The instructor chooses a modern mobile platform to be used in the course. This new initiative aims to solve risks to privacy and personal data with a collective, grassroots effort, emphasizing transparency and accountability. May be repeated without limit. Offers students an opportunity to learn team/project management; work division; team communication; and the software development cycle of implementation, testing, critique, and further iteration. 4 Hours. For details on online learning opportunities please look below. Discusses the components of game engines and strategies for their software implementation. Membership offer. Co-op Work Experience. General information. Requires knowledge of linear algebra. Shows which aspects of Scrum are required and how they manage project risk. CS 5340. Students, possibly working in groups, design, document, implement, test, and modify software projects. Lecture 15: First-class Functions 1 First-class Functions. Offers an overview of classical and modern approaches to artificial intelligence in digital games. Game Artificial Intelligence. Computer science is everywhere. Uses examples from real networks (TCP/IP, Ethernet, 802.11) and distributed systems (Web, BitTorrent, DNS) to reinforce concepts. Culminates in a project that connects the algorithms and hardware developed in the course with a selected topic in the current robotics research literature. For information regarding tuition and fees for students studying at Canadian campuses, please click here.. Undergraduate 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. Introduces cognitive, perceptual, and affective theories and theories of individual differences that allow us to design and develop better computer software and systems. CS 4950. Advanced Theory of Computation. Even more stuff coming soon! ... CS 5800 - Algorithms; Nat Tuck ntuck ⚓ ccs.neu.edu 132E Nightingale Hall NatTuck. Advanced topics in complexity theory include probabilistic computation, polynomial hierarchy, oracle separations, circuit and space complexity, interactive proofs, and quantum computing. CS 6130 and PSYC 6130 are cross-listed. Recitation for CS 5004. Includes examples of relevant applications, such as intelligent transportation, sports analytics, robotics, and healthcare. 4 Hours. Students are expected to work on a project that produces a professional-quality mobile application. Northeastern combines rigorous academics with experiential learning and research to prepare students for real-world engineering challenges. CS 4955. New members at every level are always welcome. 1 Hour. Offers selected work with the agreement of a thesis supervisor. Courses Fall 2020. The class project involves hands-on practice of mining useful knowledge from a large data set. CS 5500 requires admission to MS program or completion of all transition courses. 4 Hours. Offers an overview of classical and modern approaches to artificial intelligence in digital games. CS 6800. Considers ASP.NET, C#, HTTP, HTML, CSS, XML, XSLT, JavaScript, AJAX, RSS/Atom, SQL, and Web services. CS 7810. Introduces modern program design paradigms. 4 Hours. The particular subarea varies from semester to semester. CS 5850. Khoury College doctoral students can also pursue research opportunities with industry partners. Doctoral students register for this course before starting their off-campus internships. Considers divide-and-conquer algorithms, graph traversal algorithms, and optimization techniques. Information Visualization: Theory and Applications. Introduces reinforcement learning and the Markov decision process (MDP) framework. Introduces students to research in the fields of computer science, information science, data science, and cybersecurity. Provides eligible students with an opportunity for work experience abroad. CS 7200. Computer Science Research Seminar. 0 Hours. Examines formal models of computation, notions of undecidability, and basic complexity theory. Course work includes formal and mathematical analysis of language models, and implementation of working programs that analyze and interpret natural language text. Discusses notations used in logic, propositional and first order logic, logical inference, mathematical induction, and structural induction. Join Coursera for free and transform your career with degrees, certificates, Specializations, & MOOCs in data science, computer science, … CS 4120. Students may work as a team with the permission of the instructor. Introduction to Computer Science. 4 Hours. Each search will display all courses, whether they are scheduled or not. Khoury College is proud of our collaborative, inclusive community. The course is structured around a series of modular problem-based exercises, covering topics from the fields of Chemistry, Computer Science, Earth Science, Mathematics and Physics, and is designed to provide the content and pedagogical background for students to be successful peer leaders. Topics include computational models of grammar and automatic parsing, statistical language models and the analysis of large text corpora, natural language semantics and programs that understand language, models of discourse structure, and language use by intelligent agents. CS 1210. You’re going for your goals, and with our dedication to success, we know we can get you there. CS 7260. With a breadth of research areas, we tackle new problems in tech every day. Northeastern University’s Master of Science in Computer Science is designed to prepare … CS 2810 at Northeastern University (Northeastern) in Boston, Massachusetts. As a Khoury PhD student, you’ll immerse yourself in a rigorous curriculum, collaborate with renowned faculty, and … Computer/Human Interaction. 4 Hours. Thesis. Northeastern University’s Master of Science in Computer Science–Align provides a direct path to an MS in Computer Science and a high-demand, rewarding career—for noncomputer science degree holders with no previous programming experience. Note: This Bottlenose instance is for CS3650 (Systems) and CS4550 (Web Dev). 4 Hours. /Academics & Experiential Learning / Graduate School of Engineering / Graduate Admissions Graduate Admissions. The course also includes a significant amount of fieldwork, spanning the design, conduct, and presentation of small empirical studies. 4 Hours. 4 Hours. myNortheastern • Include goal setting, planning, plan execution, and modify software projects using principles. Bottlenose instance is for CS3650 ( systems ) and CS4550 ( Web Dev.! 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