Also covers the most common application protocols (e-mail, Web, and ftp). Pattern Recognition and Computer Vision. Introduces 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. Topics can include AI/human computation, plan and activity recognition, smart sensing/homes, active learning, preference elicitation, intelligent/adaptive user interfaces, and mixed human-agent simulations. CS 7140. Introduces Turing machines, P and NP classes, polynomial-time reducibility, and NP completeness. Discusses a systematic approach to word problems, including analytic reading, synthesis, goal setting, planning, plan execution, and testing. Hands-on development and group projects are an essential part of this course. Computer Science, MCS Online: The Master of Computer Science program is designed for students with undergraduate degrees in computing or related areas who are seeking to expand their knowledge of the computer science field through the completion of a project portfolio. Introduces basic cryptography and hash function as it is needed. Offers students an opportunity to gain hands-on experience through smaller assignments and a project. Covers a variety of reinforcement learning algorithms, including model-based, model-free, value function, policy gradient, actor-critic, and Monte Carlo methods. 2-4 Hours. The course covers the basics of the scientific method, building from a survey of objective measures to the fundamentals of hypothesis testing using relatively simple research designs, and on to more advanced research designs and statistical methods. 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. Explores the use of data-driven software design. Northeastern University’s Master of Science in Computer Science is designed to prepare … Explains how database systems store data on disks. 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. Co-op Work Experience Abroad. Special Topics in Theoretical Computer Science. Search for ENGW 1111. 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). Covers foundational concepts in the design and implementation of efficient and reliable distributed computing systems. CS 0180. CS 5520. May be repeated up to two times. Starts with functional program design, introducing the notion of a design recipe. Successful students are prepared for careers in teaching, presenting technical content when pursuing graduate studies, and for presenting technical information in industry. Artificial Intelligence. More than 20 computing-related clubs at Khoury College and Northeastern offer something for every student. If you are a CS major or have taken a CS class before, you should have one already. 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. Covers the interface between assembly language and high-level languages, including call frames and pointers. Students may work in teams with the permission of the instructor. 4 Hours. CS 4650. May be repeated for credit for PhD students; faculty supervisor and topics vary from semester to semester. Also covers partial recursive functions, primitive recursive functions, recursively enumerable sets, Turing decidability, and unsolvable problems. The NEU has a comprehensive support and development programme to build your skills and confidence in Union work. Focuses on mobile application development on a mobile phone or related platform. Course work includes the creation of working programs that store and manipulate world knowledge using techniques presented in the course. Studies the abstract mechanisms and algorithms as implemented in real-world Internet protocols. Studies structures such as sets, tuples, sequences, lists, trees, and graphs. Studies network protocols, focusing on modeling and analysis, and architectures. CS 3001. Advanced topics in complexity theory include probabilistic computation, polynomial hierarchy, oracle separations, circuit and space complexity, interactive proofs, and quantum computing. Introduces autonomous mobile robots, with a focus on algorithms and software development, including closed-loop control, robot software architecture, wheeled locomotion and navigation, tactile and basic visual sensing, obstacle detection and avoidance, and grasping and manipulation of objects. Every day we strive to create programs that welcome diverse students into CS. Mobile Application Development. Accompanies CS 3000. Concentrates on applications of information theory to computer science and other computational disciplines, including compression, coding, Markov chains, machine learning, information retrieval, statistics, computational linguistics, computational biology, wired and wireless networks, and image and speech processing. Illustrates topics from the lecture course through discussions, quizzes, and homework assignments. Courses Fall 2020. 4 Hours. Explores how the scientific method is applied to these fields and covers the breadth of subareas of specialty that exist. Search by Subject and Catalog Number. Students also have an opportunity to evaluate their work via essays and memos. Large-Scale Parallel Data Processing. Foundations of Software Engineering. CS 4710. Accompanies CS 2510. Students who do not meet course restrictions may seek permission of instructor. Database Management Systems. Khoury College is a community of people devoted to teaching, mentoring, advising, and supporting students across every program. 1 Hour. Offers students an opportunity to learn team management and communication. 4 Hours. CS-300 Client Side Web Development, (3 credits) The course discusses web site design issues and the requirements of e-commerce. Provides eligible students with an opportunity for work experience. Collaborations are only allowed if explicitly permitted. Focuses on the software development issues of integrating multiple languages, assorted data technologies, and Web interaction. Find Courses and Specializations from top universities like Yale, Michigan, Stanford, and leading companies like Google and IBM. CS 4820. 4 Hours. Requires experience in Java programming. These master's programs combine theoretical instruction in concepts like probability, wireless communication, and electromagnetism with practical skill development related to circuitry, optics, and digital signals. Learn more about the Align Master’s Program. Recitation for CS 5004. Discusses Web development for sites that are dynamic, data driven, and interactive. Presents the different harmonizing functions needed for communication and efficient operation of computer networks and discusses examples of Ethernet, FDDI, and wireless networks. Course work includes a programming term project. Offers selected work with the agreement of a thesis supervisor. CS 2800. Tuition and Fees 2020-2021. 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. Covers techniques for managing and analyzing very large data sets, with an emphasis on approaches that scale out effectively as more compute nodes are added. A single course does not satisfy more than one requirement at a time. 4 Hours. Special Topics in Networks. ); computer-aided verification (state-space exploration, model checking, bounded-model checking, binary-decision diagrams, symbolic model checking, etc. When I found out about the Align program, I knew it was exactly what I'd been looking for. Theory of Computation. Recitation for CS 3000. Offers a lecture course in computer science on a topic not regularly taught in a formal course. Game Artificial Intelligence. Foundations of Distributed Systems. Builds on CS 3000. Reinforcement Learning. Offers students an opportunity to obtain 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). Covers interpreters; static and dynamic scope; environments; binding and assignment; functions and recursion; parameter-passing and method dispatch; objects, classes, inheritance, and polymorphism; type rules and type checking; and concurrency. Fundamentals of Computer Science 1. 4 Hours. Also, discusses data structures such as arrays, stacks, queues, lists, and the algorithms that manipulate them. Offers students an opportunity to progressively construct mobile robots from a predesigned electromechanical kit. On this page you will find descriptions of the courses that we offer. Instantly search through all of NEU's classes. CS 6110. All source files must be open and be automatically served by a sources server. CS 5850. Presents the different harmonizing functions needed for the communication and effective operation of computer networks. 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. 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. 4 Hours. CS 2500. CS 3500. 4 Hours. Discusses examples from a variety of languages. Doctoral students register for this course before starting their off-campus internships. 4 Hours. At Khoury College, learning happens in and beyond the classroom. Covers the principles of information visualization in the specific context of network science. 1-4 Hours. 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 5700. 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. 4 Hours. Introduces students to research in the fields of computer science, information science, data science, and cybersecurity. Combines classroom material delivered via lectures, readings from literature, student presentations, and a semester-long software project. undergraduate Programs. Considers approaches to proving termination, correctness, and safety for programs. Introduces the basic principles and techniques for the design, analysis, and implementation of efficient algorithms and data representations. 4 Hours. Offers selected work with the agreement of a project supervisor. Offers students an opportunity to learn about the design of layout algorithms for node-link and matrix visualizations. Specifically revisits the idea of systematic design and its connection to making logical claims about the workings of programs. Offers various topics on artificial intelligence. CS 5150. Charts a path through every major aspect of computer graphics with varying degrees of emphasis. Introduces cognitive, perceptual, and affective theories and theories of individual differences that allow us to design and develop better computer software and systems. Many courses are eligible to count toward more than one requirement for the major; for example, all breadth courses are also technical elective courses. Introduces the mathematical structures and methods that form the foundation of computer science. 2 Hours. CS 3800. 4 Hours. Requires students to complete several individual assignments in these areas to apply the concepts covered in class. 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) Experiential Project. 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. 4 Hours. The course culminates in a grand challenge competition using all features of the robots. Emphasizes approaches for problem and data partitioning that distribute work effectively, while keeping total cost for computation and data transfer low. Also covers design and analysis techniques for desirable properties in computer systems including functional correctness (in the absence of faults), performance and throughput, fault-tolerance and reliability, real-time response, security, and quality of service. Students who are lacking the computer science skills needed for the Computer Science Master's Degree are encouraged to enroll into the preparatory Bridge to NYU Tandon program. Networks security is a topic that requires as much attention to its real-world implications as its theoretical underpinnings. Seminar in Professional Communication. 4 Hours. Find Faculty & Staff • 4 Hours. Also covers the construction of distributed programs, with an emphasis on high-level protocols and distributed state sharing. Topics include goal setting, resumé writing, interviewing, job search strategy, and professionalism in the workplace. Covers the fundamental topics in formal modeling and specification (transition systems, temporal logic, regular and omega-regular languages, safety and liveness properties, etc. Introduces information theory and covers the fundamental structures for representing data. CS 1210. 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. 4 Hours. Introduces fundamental techniques for low-level and high-level computer vision. CS 5005. Explains the Scrum framework as well as key ceremonies and roles. Special Topics in Professional Development. 4 Hours. Furthermore, it covers the creation of web pages. Focuses on the creation of believable agents and environments with the goal of providing a fun and engaging experience to a player. CS 5320. Offers various topics. Introduces the use of logic for modeling the range of artifacts and phenomena that arise in computer and information science. Topics include data models, query languages, query execution and optimization, complexity of query execution and query resilience, data stream processing, parallel data processing, transactions, linear vs. relational algebra, factorizations, and uncertainty in logic. Provides an introduction to information retrieval systems and different approaches to information retrieval. 0 Hours. 4 Hours. 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. Our Seattle campus is situated in South Lake Union, a center for innovation and discovery near tech industry giants like Amazon and Microsoft. Discusses data types (primitive, array, structure, class, string); addressing/parameter mechanisms (value, pointer, reference); stacks; queues; linked lists; binary trees; hash tables; and the design of classes and class inheritance, emphasizing single inheritance. Programming Languages. Reviews some of the material covered in CS 5800 and then covers advanced topics. Professional Development for Khoury Co-op. Studies the structure, components, design, implementation, and internal operation of computer systems, focusing mainly on the operating system level. 4 Hours. Prepares students to be sophisticated users of database management systems. Seminar in Artificial Intelligence. Information Visualization: Theory and Applications. Includes examples from real operating systems. Coreq CS 5001. Covers the fundamental structures for representing data, such as hash tables, trees, and graphs. Northeastern University CS 5010. Covers topics from the course through various experiments. Continues the preparation of students for careers in the computing and information fields by discussing co-op and co-op processes. Covers the essential elements of distributed, concurrent systems and builds upon that knowledge with engineering principles and practical experience with state-of-the-art technologies and methods for building scalable systems. Each student must deploy individually designed Web experiments that illustrate the Web technologies and at least one major integrative Web site project. Computer Science and Its Applications. 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. Topics discussed in the context of next-generation interaction modalities include sensors, haptics, wearables, and performative interfaces. Accompanies CS 2800. 4 Hours. 0 Hours. Covers both theoretical issues related to wireless networking and practical systems for both wireless data networks and cellular wireless telecommunication systems. Requires knowledge of operating systems; e.g., an undergraduate course in Systems and Networks, Computer Systems, or Networks and Distributed systems. Course work emphasizes hands-on programming experience with modern state-of-the-art big-data processing technology. Covers the foundations of human abilities, computational artifacts, design, and evaluation. During these online courses, you will learn: How programming languages differ in terms of form and function. Offers elective credit for courses taken at other academic institutions. CS-301 Computer Organization, (3 credits) May be repeated without limit. Offers various topics on networks. CS 4970. Introduction to Computer Science. 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. This new initiative aims to solve risks to privacy and personal data with a collective, grassroots effort, emphasizing transparency and accountability. Discusses Web development for sites that are dynamic, data driven, and interactive. Requires students to complete several individual assignments in these areas to apply the concepts covered in class. Focuses on the software development issues of integrating multiple languages, assorted data technologies, and Web interaction. Mobile and Wireless Systems. Foundations of Cryptography. 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. Requires knowledge of algorithms and experience with object-oriented design or functional programming. Discusses the concepts of object, class, metaclass, message, method, inheritance, and genericity. Deals with the design of extensible software systems, which enable clients to add functionality both statically as well as dynamically. Khoury students in San Francisco tap into the professional networks of the Bay Area’s vibrant tech culture—led by companies like Twitter, Lyft, and Salesforce. Focuses on algorithmic design paradigms and techniques for analyzing the correctness, time, and space complexity of algorithms. Examines several important software applications so that students may develop the skills necessary to use computers effectively in their own disciplines. Considers divide-and-conquer algorithms, graph traversal algorithms, linear programming, and optimization techniques. Principles of Programming Language. Students learn in modern classrooms, collaborative meeting rooms, and cutting-edge labs and research spaces. Programming Design Paradigm. 4 Hours. Related Courses. Emphasizes abstraction, encapsulation, inheritance, polymorphism, recursion, and object-oriented design patterns. The readings point into the on-line version of the text book. Covers principles of proof such as truth tables, inductive proof, and basic logic and the counting techniques and arguments needed to estimate the size of sets, the growth of functions, and the space-time complexity of algorithms. System Specification, Verification, and Synthesis. Northwestern students who are interested in changing their major, or simply sampling the computer science field, can take individual introductory courses. 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 fundamentals of cloud computing, including virtualization and containers, distributed file systems and object stores, infrastructure as a service platforms, open source cloud platforms, key big data platforms, and topics in data center scale systems. Explores the use of data-driven software design. Offers an opportunity to conduct full-time research under faculty supervision. May be repeated up to three times. Natural Language Processing. Provides small-group discussion format to cover material in CS 5010. May be repeated up to two times. Course work includes formal and mathematical analysis of language models and implementation of working programs that analyze and interpret natural language text. Find the best Master's of Computer Science programs at TFE Times. May be repeated without limit. The robots are controlled wirelessly by software of the students’ own design, built within a provided robotics software framework. 4 Hours. May be repeated up to two times. Focuses on student examining standard computer science material in fresh ways or new computer science material that is not covered in formal courses. 4 Hours. Offers various topics in data visualization. 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. 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. Seeks to prepare students to do research in machine learning. Offers an opportunity to conduct research under faculty supervision. May be repeated up to three times. 4 Hours. The computer science-specific requirements of the two degrees are identical. CS 4400. Break into tech—without a background in computer science, BA Environmental Science, Align MSCS, '21. Advisors and faculty will help you navigate the PhD path at Khoury College—from research spaces and interdisciplinary projects to student life and resources. Offers selected readings under the supervision of a faculty member. 4 Hours. CS 3700. Recitation for CS 5001. Khoury College is proud of our collaborative, inclusive community. Also covers computational learning theory and other methods for analyzing and measuring the performanceof learning algorithms. Includes a course project in which some of the software engineering methods (from requirements analysis to testing) are applied in a team-based setting. 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. 4 Hours. Presents a comparative approach to object-oriented programming and design. CS 4120. Presents several models of computing, beginning with functional program design. CS 7810. May be repeated once. Faculty supervisor and topics vary from semester to semester. Cryptography is the science of protecting information against adversarial eavesdropping and tampering. Note: This Bottlenose instance is for CS3650 (Systems) and CS4550 (Web Dev). 2020-21 College of Professional Studies Undergraduate PDF Robotic Science and Systems. 0 Hours. CS 4530. 4 Hours. Deep learning is showing great promise for data science and AI. 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. Focuses on the creation of believable agents and environments with the goal of providing a fun and engaging experience to a player. Students are expected to work on a project that produces a professional-quality mobile application and to demonstrate the application that they have developed. 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. Illustrates basic concepts in object-oriented design with case studies in application frameworks and by writing programs in Java. 4 Hours. Examines formal models of computation, notions of undecidability, and complexity theory. Presents an overview of methods for conducting empirical research within computer science. Discusses professional behavior and ethical issues in the workplace. 4 Hours. Covers methods for planning and learning in MDPs such as dynamic programming, model-based methods, and model-free methods. Offers an opportunity to document student contributions to research projects or creative endeavors. 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. Northeastern University’s newest location in Portland is home to the Roux Institute, a graduate school and research center on Maine's seacoast. Introduces modern program design paradigms. 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. Using ray-tracing and radiosity of world knowledge using techniques presented in the area of their goals, acceptability. Including entropy, mutual information, and path planning computer and information science disciplines... Science field, can take individual introductory courses tuition and fees for students studying at Canadian campuses, please here! Exploration, model checking, etc explain these image processing techniques that store and manipulate world knowledge in computers and. 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