4 Hours. Students are expected to have a working knowledge of probability and linear algebra, to complete programming assignments, and to complete a course project that applies some form of reinforcement learning to a problem of interest. Fundamentals of Computer Networking. Explores the internal workings of database management systems. Offers students an opportunity to study, in-depth, some aspects of the development process. Considers ASP.NET, C#, HTTP, HTML, CSS, XML, XSLT, JavaScript, AJAX, RSS/Atom, SQL, and Web services. These methods help provide objective answers to questions about the usability, effectiveness, and acceptability of systems. myNortheastern • Theory of Computation. 4 Hours. 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). CS 4820. Introduces the basic design of computing systems, computer operating systems, and assembly language using a RISC architecture. Models of computation include finite state automata, pushdown automata, and Turing machines. CS 6110. CS 7340. 0 Hours. Examples of such systems are operating systems, game servers, and Web browsers. Considers approaches to proving termination, correctness, and safety for programs. Topics include data visualization theory and methodology, visualization design and evaluation, visual perception and cognition, interaction principles, and data encoding and representation techniques. 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. Explores the use of data-driven software design. CS 4700. CS 9996. Requires each student to deploy individually designed Web experiments that illustrate the Web technologies and at least one major integrative Web site project. Focuses on mobile application development on a mobile phone or related platform. If you are a student or a trainee, click here to join. Offers a lecture course in computer science on a topic not regularly taught in a formal course. 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. Requires students to work on several individual assignments to apply the algorithms and then develop a project in a team. Dissertation Continuation. 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. Offers students an opportunity to use a rendering engine and to build and integrate several software components to create a complete game engine. Intensive Principles of Programming Languages. 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. Considers divide-and-conquer algorithms, graph traversal algorithms, linear programming, and optimization techniques. Research labs and groups focus on a set of problems in a specific context, inviting inquiry and collaboration. Course content depends on instructor. Logic and Computation. The course is self-contained; no prior knowledge of information theory is required or assumed. The nation’s first computer science college, established in 1982, Khoury College has grown in size, diversity, degree programs, and research excellence. Fundamentals of Cloud Computing. Introduces a systematic approach to understanding the behavior of programming languages. Basic concepts in object-oriented design are illustrated with case studies in application frameworks and by writing programs in one or more object-oriented languages. 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. Accompanies CS 6350. May be repeated for credit for PhD students; faculty supervisor and topics vary from semester to semester. /Academics & Experiential Learning / Graduate School of Engineering / Graduate Admissions Graduate Admissions. Requires knowledge of linear algebra. Emergency Information • Provides an opportunity for all doctoral students to engage in industry research in the area of their dissertation. CS 5850. 4 Hours. Introduces formal logic and its connections to computer and information science. 4 Hours. 4 Hours. Use the top Master's of Computer Science program rankings to find the right master's program for you. 2020-21 Undergraduate PDF Requires knowledge of linear algebra. Game Artificial Intelligence. 4 Hours. Pattern Recognition and Computer Vision. Presents advanced mathematical techniques for designing and analyzing computer algorithms. May be repeated up to two times. CS 5083. Also covers research methods for designing and evaluating computer software systems. May be repeated up to three times. Principles of Scalable Data Management: Theory, Algorithms, and Database Systems. Offers various topics on networks. Introduction to Computer Science. 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. CS 7250. Deep learning is showing great promise for data science and AI. Spring 2021 Schedule Information: Graduate / Undergraduate Introduces the basic principles and techniques for the design, analysis, and implementation of efficient algorithms and data representations. Furthermore, it covers the creation of web pages. As a Khoury PhD student, you’ll immerse yourself in a rigorous curriculum, collaborate with renowned faculty, and … Offers independent work under the direction of members of the department on a chosen topic. Topics include algorithms for supervised learning including decision tree induction, artificial neural networks, instance-based learning, probabilistic methods, and support vector machines; unsupervised learning; and reinforcement learning. CS 5500. Offers an overview of classical and modern approaches to artificial intelligence in digital games. Course work includes analysis of papers, problem sets, and a substantial term project. Offers students an opportunity to practice how to locate and read scientific literature in different subareas. Intensive Computer Systems. Offers students an opportunity to learn team management and communication. The instructor chooses a modern mobile platform to be used in the course. Offers students an opportunity to use a rendering engine and to build and integrate several software components to create a complete game engine. Find the best Master's of Computer Science programs at TFE Times. 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). CS 7170. Rice CS professor Chris Jermaine named interim chair of computer science He succeeds Luay Nakhleh, who is set to become dean of the George R. Brown School of Engineering Wednesday, Nov. 25, 2020 May be repeated once. CS 4530 (Section 1, Professor Tip) T 6:00pm-9:15pm: West Village G 102 (WVG 102) CS 4530 (Section 2, Professor Bell) TF 1:35pm-3:15pm : Richards Hall 300 (RI 300) Focuses on student examining standard computer science material in fresh ways or new computer science material that is not covered in formal courses. CS 3700. Directed Study. CS 2800. More than 20 computing-related clubs at Khoury College and Northeastern offer something for every student. Once you’ve developed the foundational skills, you’ll choose a specialization path from the following focus areas: Our flagship campus in Boston is just minutes away from esteemed universities, exciting start-ups, and leaders in tech, finance, health care, and more. Explores how the scientific method is applied to these fields and covers the breadth of subareas of specialty that exist. Emphasizes abstraction, while programming exercises are used to facilitate the understanding of concepts. Join Coursera for free and transform your career with degrees, certificates, Specializations, & MOOCs in data science, computer science, … 4 Hours. 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. Studies the structure, components, design, implementation, and internal operation of computer systems, focusing on the operating system level. 4 Hours. 4 Hours. Introduces concurrency control schemes implemented by locking, such as hierarchical locking and key range locking. The program combines both computing and … Introduces the use of logic for modeling the range of artifacts and phenomena that arise in computer and information science. Presents a comparative approach to object-oriented programming and design. 4 Hours. Presents a comparative approach to object-oriented programming and design. Choose a semester to search for courses. For details on online learning opportunities please look below. Computer Science Research Seminar. Combined with Junior/Senior Project 2 or college-defined equivalent for 8 credit honors in the discipline project. Khoury College doctoral students can also pursue research opportunities with industry partners. Offers various topics in formal methods. Studies and analyzes deterministic and random algorithms from a variety of domains, including graphs, data mining, linear algebra, and information retrieval in terms of their cost, scalability, and robustness against skew. Object-Oriented Design. Theory and Methods in Human Computer Interaction. 4 Hours. Related Courses. 4 Hours. 4 Hours. May be repeated without limit. 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. CS 4180. Discusses the properties of regular sets and context-free languages. CS 3001. 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. Provides an introduction to the computational modeling of human language, the ongoing effort to create computer programs that can communicate with people in natural language, and current applications of the natural language field, such as automated document classification, intelligent query processing, and information extraction. CS 5170. Offers elective credit for courses taken at other academic institutions. Reviews forms of polymorphism in object-oriented languages. Covers the interface between assembly language and high-level languages, including call frames and pointers. CS 4500. Designed to prepare graduate students for co-op/internship using a career preparation model. Software Development. System Specification, Verification, and Synthesis. The computer science-specific requirements of the two degrees are identical. May be repeated up to two times. Covers methods for planning and learning in MDPs such as dynamic programming, model-based methods, and model-free methods. 4 Hours. CS 5011. May be repeated without limit. CS 5100. CS 1210. The readings point into the on-line version of the text book. 4 Hours. Deals with the design of extensible software systems, which enable clients to add functionality both statically as well as dynamically. Involves experiments and problem solving across multiple disciplines using computer science techniques and tools. Natural Language Processing. And learn from each other motivate and explain these image processing techniques by,! A large data set course is self-contained ; no prior knowledge of machine learning, student neu cs courses, the. ) framework include goal setting, planning, plan execution, and meaningful experiential opportunities deals the. Of all transition courses mobile platform to be used in logic, logical inference, mathematical induction and. Mobile phone or related platform competition using all three settings but focuses on Rust... 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