columbia ms in cs faculty

Non-CS/non-track courses must be approved by your advisor. Other activities include having been a faculty advisor for the NASA Robotics Challenge team in Columbia Space Initiative in Spring 2020, faculty advisor for ADI Labs in Spring 2019, a current member of the Academic Committee in the CS Department, and faculty director of the CS@CU Bridge to MS Program in Computer Science. It is a great benefit to be able to gather engineers and scientists of so many different perspectives and talents – all with a commitment to learning, a focus on pushing the frontiers of knowledge and discovery, and with a passion for translating our work to impact humanity. The UBC Department of Computer Science, established in May 1968, is one of the top computer science departments in North America. The opportunity includes a stipend. More information about the program can be found in the Computer Engineering section of SEAS bulletin and on the Computer Engineering website. In addition to the Computer Science MS Program, we offer the Computer Engineering MS Program jointly with the Electrical Engineering Department. Björn Hartmann. 302 Davis Hall. –If you are following the old MS track requirements, please refer to the old requirements page.–, Spring 2021 Topics Course DescriptionsFall 2020 Topics Course Descriptions. dpw (@cs.princeton.edu) (609) 258-7654 211 Computer Science Research Interests: Programming languages, type systems, compilers, domain-specific languages, and software-defined networking. Starting Up Right. The Master of Science in Operations Research (MSOR) is a 30-credit STEM program for students to concentrate in areas such as mathematical programming, stochastic models, and simulation, through domain specific courses in logistics, supply chain management, revenue management, financial engineering, risk management, entrepreneurship, and general management. This recent action provides a moment for us to collectively reflect on our community within Columbia Engineering and the importance of our commitment to maintaining an open and welcoming community for all students, faculty, researchers and administrative staff. The Master of Science (MS) program is intended for people who wish to broaden and deepen their understanding of computer science. in Computer Science from the University of Northern British Columbia. Students may also choose an elective track focused on entrepreneurship or a subject area covered by one of our centers. Admitted students will enroll for a total of four semesters. Kevin Wayne The listing below includes both smaller research groups operating within the Computer Science Department, and larger, more diverse groups that span multiple faculties and departments. I am proud of our community, and wish to take this opportunity to reinforce our collective commitment to maintaining an open and collegial environment. As a School of Engineering and Applied Science, we are fortunate to attract students and faculty from diverse backgrounds, from across the country, and from around the world. Columbia Video Network (CVN) students should also choose from one of the above concentration tracks. The MSc in computer science has three clusters, including: general computer science, data science and optimization. Build on your undergraduate studies in computer science, engineering, mathematics, or information technology and management with the Computer Science, M.S. The Department of Computer Science at the University of Northern British Columbia is a rapidly developing research center in northern B.C. Morris A. and Alma Schapiro Professor, Interests: Robotics, Vision, 3-D modeling, Interests: Algorithmic foundations of massive data, including sublinear algorithms, high-dimensional geometry, theoretical machine learning. Interests: computer vision; graphics; image-based rendering; face recognition, Interests: security, networks, privacy, public policy, Interests: robotics, vision, sensor planning, 3D modeling, mobile computing, computer science education, Interests: Statistical machine learning, topic models, scalable Bayesian computation, Interests: Topological and geometric data analysis, computational biology, computer security, Interests: machine learning, pattern recognition, data mining, Interests: System-on-Chip (SoC) Platforms, Embedded Systems, System-Level Design, Computer-Aided Design, Interests: Networked Algorithms, Social Networks, Mobile Computing, Stochastic Networks, Interests: multimedia, computer vision, machine learning, information retrieval, signal processing, Interests: Algorithmic Game Theory and Economics, Complexity Theory, Interests: Natural Language Processing, Machine Learning, Interests: information theory, network coding, randomized, online and approximation algorithms, network analysis, and dimensionality reduction techniques, Interests: Compilers, Embedded systems, VLSI, computer-aided design, digital systems, languages. Columbia data science students have the opportunity to conduct original research, produce a capstone project, and interact with our industry partners and world-class faculty. As a School of Engineering and Applied Science, we are fortunate to attract students and faculty from diverse backgrounds, from across the country, and from around the world. “Some people have this really strange misconception that engineering isn’t a creative field just because it’s heavily based in math and science,” Tbeile said. Campus Map | 11:30am-1:00pm The Columbia Engineering community has come together to combat the coronavirus pandemic on multiple fronts. It is a great benefit to be able to gather engineers and scientists of so many different perspectives and talents – all with a commitment to learning, a focus on pushing the frontiers of knowledge and discovery, and with a passion for translating our work to impact humanity. All students must complete the following requirements: Students can choose from one of the tracks below. For Sammy Tbeile ’18, computer engineering is all about the art of the science. For faculty advisement, please contact the assigned track advisors. For faculty advisement, please contact the assigned track advisors. Arpit’s work appears at top-tier networking and systems conferences, including ACM SIGCOMM and USENIX NSDI. Professor of Professional Practice Director of the MS EE Program Office: 813 CEPSR, Mail Code: 4712 Phone: +1 212-851-0269 Fax: +1 212-932-9421 Email: zk2172 (at) columbia.edu Website: Link Office hours: Spring - Wed | 11:30am-1:00pm ; Fall - Th. Alon Grinshpoon (MS ’18) kicks off the Ask Me Anything series of Columbia Engineering Entrepreneurship and talks about how he started his company, echoAR, by using the various resources at Columbia to develop his startup. Ming Hsieh Faculty Fellow in Electrical and Computer Engineering-Systems and Professor of Electrical and Computer Engineering and Computer Science bkrishna@usc.edu C.-C. Jay Kuo Take at least 6 points of technical courses at the 6000-level. Phone: (716) 645-1593. Mary C. Boyce Email: adamlee@cs.pitt.edu: Office: 6111 Sennott Square: Mailbox: 329: Telephone: In close collabo-ration with the Columbia University Irving Medical Center, we’re leveraging our expertise and innovation to address short term medical needs and long term societal impacts. Gates Computer Science Building 353 Jane Stanford Way Stanford, CA 94305. Our research groups and their labs span across all aspects of Computer Science. Juan F. Ramirez Rochac MS 2010, Computer Science, University of the District of Columbia Specialties include Wireless Sensors, Spatial-Temporal Databases, and Informatics. Recognized internationally for excellence in research and teaching with a conscious focus on interdisciplinary programs, the Department encourages diversity both within its community and areas of study, and plays a leadership role in research, As a Khoury PhD student, you’ll immerse yourself in a rigorous curriculum, collaborate with renowned faculty, and make an … Associate Dean for Academic Programs, SCI; Professor. He received his Ph.D. from Princeton University. Mr. Allan Kranz received his M.Sc. Interests: Computer Science Education, Networks, Software Engineering, Cloud Computing, Interests: cryptography, complexity theory, security, randomized algorithms, Interests: natural language processing, summarization, multimedia, digital libraries, Interests: Networking, with particular attention to net neutrality and the economics of the Internet; modeling and performance evaluation; information theory, Interests: Computer Vision, Computer Graphics, Robotics, Human-Computer Interfaces, Interests: operating systems, mobile computing, cloud computing, networking, security, Interests: Computational biology, genomics, bioinformatics, Interests: database systems, query processing, declarative languages, genetics, Interests: Computer networks, Network Robustness and Security, Multimedia networking, Performance Evaluation, Algorithms, Interests: Data Mining, Machine Learning, Frequent patterns, Classification, Ranking, Rule Learning, Interests: Computer networks; multimedia systems; mobile and wireless systems; ubiquitous and pervasive computing, Interests: computational complexity theory; randomness in computing; computational learning theory; sublinear-time algorithms, Interests: Computer Architecture; Security, VLSI design; High Performance Computing, Interests: algorithms, combinatorial optimization, network algorithms, scheduling, theory of computation, Interests: computer security; intrusion and anomaly detection; embedded device security; data mining/machine learning, Interests: distributed systems, design, programming techniques, software development tools, and programming languages, Interests: machine learning, empirical inference, statistical learning theory, Interests: Information Theory, Communication Complexity, Data-Structure Lower Bounds, Computational Economics, Interests: database, visualization, data cleaning, crowd sourcing, interaction, data explanation, Interests: Operating Systems, Programming Languages, Security, Distributed Systems, Software Engineering, Networks, Interests: algorithms, complexity theory, combinatorial optimization, databases, testing and verification, Interests: quantum computation, quantum information, complexity theory, cryptography, Interests: Computer graphics, physically-based multi-sensory animation, computational acoustics, scientific computing, robotics, Interests: compilers, software engineering, algorithms, quantum computing, Interests: Probabilistic Analysis of Algorithms and Networks; Stochastic Analysis: Internet Congestion, Sensor Systems, Cognitive Radio, Molecular Computing, Interests: Computational aspects of low-dimensional topology -- topological graph theory, Celtic knots, 3D-shape-modeling, Interests: Algorithms, Complexity, the Experimental Analysis of Algorithms, the Traveling Salesman Problem, and Bin Packing, Interests: Asynchronous and Mixed-Timing Digital Circuits and Systems, Computer-Aided Design, Networks-on-Chip, Interconnection Networks for Parallel Processors, Low-Power Digital Design, Interests: quantum computing, information-based complexity, financial computation, Interests: asynchronous circuits and systems, digital logic, technology and society, engineering ethics, Interests: AI; machine learning and applications to power grid, epilepsy prediction, and natural language processing, Interests: Biological networks and computer networks, {{#wwwLink}}{{personal_uri}}{{/wwwLink}} {{#cvLink}}{{cv_uri}}{{/cvLink}} {{#scholarLink}}{{scholar_uri}}{{/scholarLink}}, {{#showBlogs}}{{{blog_posts}}}{{/showBlogs}}, This website uses cookies and similar tools and technologies to improve your experience and to help us understand how you use our site. Dean of Engineering Research Areas: theoretical computer science, graph theory Research Interests: graph colouring, random graphs, probabilistic methods: Aleksandar Nikolov Assistant Professor anikolov@cs.toronto.edu 416-946-8672 Room: SF 2301B Research Areas: theoretical computer science, algorithms, differential privacy He built Sonata, a streaming network telemetry system; and SDX, and Internet routing control system. 500 W. 120th St., Mudd 1310, New York, NY 10027 212-854-3105 ©2019 Columbia University Adjunct Professor. From rapid breakthroughs in cybersecurity to crucial leaps in medical science and technology, computer science has revolutionized how society operates—and will continue to do so. Opportunity to develop leading-edge in-depth knowledge of specific Computer science, data science optimization. 3 points of your degree can be non-CS/non-track courses or information technology and management the. 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