CS 6954. Examines how to program in C++ in a robust and safe manner. Examines flat and hierarchical representations, dynamic data representations, and data compression. 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. 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. Robotic Science and Systems. The course culminates in a grand challenge competition using all features of the robots. If you're looking for Fundies, OOD, or CS5001, that's handins.ccs.neu.edu. Reinforcement Learning. 0 Hours. The robots are controlled wirelessly by software of the students’ own design, built within a provided robotics software framework. Find the best Master's of Computer Science programs at TFE Times. Recitation for CS 5004. 4 Hours. Continues the exploration of several themes from CS 5010: unit testing, random testing, and logical reasoning about software. Discusses the concepts of object, class, meta-class, message, method, inheritance, and genericity. CS 4530. 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. Junior/Senior Honors Project 2. Fundamentals of Computer Science 1. Introduces flow control schemes, such as window flow control and leaky bucket rate control schemes, and discusses congestion control and fairness. Neurasmus: A European Master in Neuroscience: Advanced Courses and Research Training Neurasmus is a two-year joint Master Programme in Neurosciences covering a rich interdisciplinary curriculum, from basics in Neuroscience to brain pathologies, and from optogenetics and small-scale microscopy to translational research. CS 3001. 1 Hour. Requires students to work on individual assignments and then develop a project in a team, which requires a report. Studies rendering of three-dimensional scenes composed of spheres, polygons, quadric surfaces, and bi-cubic surfaces using ray-tracing and radiosity. Fundamentals of Cloud Computing. Examines what kind of security properties can be achieved by relying solely on probability and information theory, without restricting the adversary’s computational power. Combined with Junior/Senior Project 2 or college-defined equivalent for 8 credit honors in the discipline project. Studies the complexity-theoretic basis of modern cryptography and the connection between computational hardness and pseudo-randomness. 4 Hours. Includes a course project where some of the software engineering methods (from requirements analysis to testing) are applied in a team-based setting. Large-Scale Parallel Data Processing. Examines commonly used representations including deep-learning representations. Research labs and groups focus on a set of problems in a specific context, inviting inquiry and collaboration. 0 Hours. Theory of Computation (PhD Core Course; Last taught Spring '20) Theoretical Aspects of Machine Learning (Last taught Spring '20) Algorithms for Big Data (Spring '19) Special Topics in Complexity Theory (Fall '17) More than 20 computing-related clubs at Khoury College and Northeastern offer something for every student. Request information and one of our enrollment counselors will contact you soon. Introduces the basic design of computing systems, computer operating systems, and assembly language using a RISC architecture. Software Development. Offers students an opportunity to prepare a professional resumé; practice proper interviewing techniques; explore current job opportunities; learn how to engage in the job and referral process; and to understand co-op policies, procedures, and expectations. Offers selected work with the agreement of a project supervisor. CS 6220. Introduces the fundamental ideas of computing and programming principles. Search through classes, professors, sections, and subjects at Northeastern. 4 Hours. Also covers fundamental topics in computer-aided synthesis of correct-by-construction systems, starting from high-level formal specifications or from example scenarios. Offers students an opportunity to use a rendering engine and to build and integrate several software components to create a complete game engine. Use the top Master's of Computer Science program rankings to find the right master's program for you. CS 7240. Co-op Work Experience Abroad. Shows which aspects of Scrum are required and how they manage project risk. Focuses on the creation of believable agents and environments with the goal of providing a fun and engaging experience to a player. CS 7990. Introduces students to the field of computer science and the patterns of thinking that enable them to become intelligent users of software tools in a problem-solving setting. 4 Hours. Human computer interaction concerns the design and evaluation of software based on a deep understanding of how humans interact with computers, devices, and sensors. Introduces the basic design of computing systems, computer operating systems, and assembly language using a RISC architecture. 4 Hours. Includes examples from real operating systems. Students analyze and reflect on literature, case studies, and real examples of teaching computer science. Our institutes and research centers bring together leading academic, industry, and government partners, to harness the power of computing. Contrasts the use of inheritance and composition as dual techniques for software reuse: forwarding vs. delegation and subclassing vs. subtyping. Studies structures such as sets, tuples, sequences, lists, trees, and graphs. Focuses on the software development issues of integrating multiple languages, assorted data technologies, and Web interaction. Required course work includes the creation of working programs that solve problems, reason logically, and/or improve their own performance using techniques presented in the course. Northeastern University’s newest location in Portland is home to the Roux Institute, a graduate school and research center on Maine's seacoast. Studying both the behavior of individuals and the collective behavior of industries and governments, students will utilize … Tuition and Fees 2020-2021. Dissertation Continuation. CS 5082. Requires standard CS knowledge of algorithms and hardness (e.g., a typical undergraduate class based on a standard algorithms textbook such as Ericson; Cormen, Leiserson, Rivest,and Stein; or Dasgupta, Papadimitriou, and Vazirani). 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. December 17, 2020. CS 7180. May be repeated up to two times. Introduces the fundamental ideas of computing and the principles of programming. Also offers students an overview of graduate education in these fields. CS 4910. Advanced topics in complexity theory include probabilistic computation, polynomial hierarchy, oracle separations, circuit and space complexity, interactive proofs, and quantum computing. CS 4971. If you're looking for Fundies, OOD, or CS5001, that's handins.ccs.neu.edu. The field merges theories from psychology and computer science, using methods from AI and design. Gives students the opportunity to read and present various survey and research papers in artificial intelligence. CS 5005. Special Topics in Programming Language. Students choose a group final project, which requires a report, to explore one aspect of artificial intelligence for games in further depth. Pattern Recognition and Computer Vision. It can learn, talk, see, touch, smell, taste, think, feel, and listen, while using less energy than a modern laptop. Studies the abstract mechanisms and algorithms as implemented in real-world Internet protocols. 2-4 Hours. 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. Examines commonly used representations including deep learning representations and approaches to partially observable problems. 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. Offers various topics on computer systems. Advanced Software Development. Master's students deepen their expertise through project work, professional work experiences and research assistantships. CS 7260. A single course does not satisfy more than one requirement at a time. Special Topics in Networks. 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. 300 Level courses. Topics include an overview of human information processing subsystems (perception, memory, attention, and problem solving); how the properties of these systems affect the design of user interfaces; the principles, guidelines, and specification languages for designing good user interfaces, with emphasis on tool kits and libraries of standard graphical user interface objects; and a variety of interface evaluation methodologies that can be used to measure the usability of software. Expects each student to write a small compiler. CS 0210. Large-Scale Parallel Data Processing. Seminar in Artificial Intelligence. Introduces formal logic and its connections to computer and information science. Covers the interface between assembly language and high-level languages, including call frames and pointers. Masters Project. Students choose a group final project to explore one aspect of artificial intelligence for games in further depth. Discusses Web development for sites that are dynamic, data driven, and interactive. Work on research with faculty is central to the PhD experience. Data Mining Techniques. Combines classroom material delivered via lectures, readings from literature, student presentations, and a semester-long software project. CS 8674. For details on online learning opportunities please look below. Offers students an opportunity to use a rendering engine and to build and integrate several software components to create a complete game engine. Course Outcomes Students will gain an understanding of all phases of the software engineering lifecycle (requirements, design, implementation, testing, deployment, maintenance). Seeks to prepare students to do research in machine learning. Click on a specific course to view class scheduling information. 4 Hours. CS 7290. CS 6240. Describes the classic systems built on C-like languages with unsafe, manual memory control and the more recent systems built on Java-like languages with safe, automated memory management.
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