Prerequisites: Fundamentals of calculus, linear algebra, and C programming. Prerequisites: (COMS W3134) or (COMS W3136) or (COMS W3137) COMS W4156 is recommended. Today’s computers process the daily transactions of international banks, the data from communications satellites, the images in video games, and even the fuel and ignition systems of automobiles. Regular languages: deterministic and non-deterministic finite automata, regular expressions. Join us to develop your interests at the juncture of electrical engineering and computer science, and learn how to design, create, and test software, hardware, and system Special topics arranged as the need and availability arises. 3 points. COMS W4261 Introduction to Cryptography. 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. CSEE W4121 COMPUTER SYSTEMS FOR DATA SCIENCE. 3 points. Throughout the course particular attention is paid to design trade-offs between language expressiveness and reasoning complexity, and issues relating to the use of KR systems in larger applications. COVID-19 Response. A second course in computer graphics covering more advanced topics including image and signal processing, geometric modeling with meshes, advanced image synthesis including ray tracing and global illumination, and other topics as time permits. More Student News. Algorithms will be implemented in either Matlab or Python. COMS E4762 Machine Learning for Functional Genomics. Prerequisites: Comfort with basic discrete math and probability. The research facility is supported by a full-time staff of professional system administrators and programmers. COMS W4119 COMPUTER NETWORKS. Platform architectures for embedded, mobile, and cloud computing. For students interested in the implementation of interactive multimedia applications for the internet and wireless networks. 3.00 points. The computer science majors offer maximum flexibility by providing students with a range of options for program specialization. Accessibility Corequisites: COMS W1002 or COMS W1004 or COMS W1007 The intent is to be broad, covering a diversity of algorithmic techniques, rather than be deep.   |   Survey and analysis of architecture, algorithms, and underlying assumptions of commercial and research systems that recognize and interpret human gestures, analyze imagery such as fingerprint or iris patterns, generate natural language descriptions of medical or map imagery. CSEE W3827 is recommended. String-matching algorithms, dynamic programming, hidden Markov models, expectation-maximization, neural networks, clustering algorithms, support vector machines. General education requirement: quantitative and deductive reasoning (QUA). Weekly laboratory sessions and term project on design of a microprocessor-based embedded system including at least one custom peripheral. COMS W4460 Principles of Innovation and Entrepreneurship. 1-2 points. Bio: Joan Feigenbaum is the Grace Murray Hopper Professor of Computer Science at Yale University. Introduction to the theory and practice of computer user interface design, emphasizing the software design of graphical user interfaces. Students may only receive credit for one of ENGI E1006 or COMS W1002. Imperative, object-oriented, declarative, functional, and scripting languages. Columbia University students may receive credit for only one of the following two courses: 1004 or 1005. But we recommend taking one more semester of Calculus, either Math UN1201 Calculus III or APAM E2000 Multivariate Calculus for Engineers and Scientists. The vision, graphics, interaction, and robotics track exposes students to computer vision, graphics, human-computer interaction, and robotics. 3D software support. The campus has 802.11b/g wireless LAN coverage. COMS W4775 Causal Inference. Rudiments of the analysis of algorithms. Topics in clustering: k-means clustering, hierarchical clustering, spectral clustering, clustering with various forms of feedback, good initialization techniques and convergence analysis of various clustering procedures. Topics include task and data decomposition, load-balancing, reasoning about correctness, determinacy, safety, and deadlock-freedom. 3.00 points. COMS W4910 Curricular Practical Training. The elective breadth requirement in each track can be fulfilled with any 3-point computer science 3000-level or higher course that is not a computer science core course or a technical elective course in that track. Prerequisites: (COMS W4771) or instructor's permission; knowledge of linear algebra & introductory probability or statistics is required. Potential power of quantum computers. COMS W3107 Clean Object-Oriented Design. Therefore, the department also offers courses for students who do not plan a computer science major or concentration. General aspects of knowledge representation (KR). Students without any of these prerequisites are advised to contact the instructor prior to taking the course. Computational techniques for analyzing genomic data including DNA, RNA, protein and gene expression data. Micro-economics with a focus on media and telecommunication economic concerns, including competition and monopolies, platforms, and behavioral economics. Topics include: identifying and analyzing opportunities created by technology paradigm shifts, designing innovative products, protecting intellectual property, engineering innovative business models. Consult the course descriptions inthe bulletin. The two fundamental paradigms (semantic networks and frames) and illustrative systems. COMS W4762 Machine Learning for Functional Genomics. A general introduction to computer science for science and engineering students interested in majoring in computer science or engineering. COMS W3101 Programming Languages. COMS W4996 Special topics in computer science, II. Bulletin MS Program Checklist 3 points. Emphasis on techniques from artificial intelligence and machine learning. Software lifecycle using frameworks, libraries and services. Design and programming projects are required. For updated adviser information, see Special topics arranged as the need and availability arise. Causal Inference theory and applications. Power and limitations of different modes of computation such as nondeterminism, randomization, interaction, and parallelism. A second programming course intended for nonmajors with at least one semester of introductory programming experience. Teams implement a language and its compiler. Programming projects are required. COMS W3410 Computers and Society. 3 points. Prerequisites: AP Computer Science with a grade of 4 or 5 or similar experience. An introduction to computer architecture and distributed systems with an emphasis on warehouse scale computing systems. COMS W4242 Numerical Algorithms and Their Complexity II. COMS W4170 User Interface Design. COMS W1002 Computing In Context is a course primarily intended for humanities majors, but it also serves as a pre-introductory course for CS majors. 208 Hamilton Hall Mail Code 2805 1130 Amsterdam Avenue New York, NY 10027. Also covers Git, Make, TCP/IP networking basics, C++ fundamentals. The major in information science requires a minimum of 33 points including a core requirement of five courses. I/O, interfacing, and peripherals. Selection and manipulation. CSEE W4119 COMPUTER NETWORKS. COMS W4733 Computational Aspects of Robotics. Basic introduction to concepts and skills in Information Sciences: human-computer interfaces, representing information digitally, organizing and searching information on the internet, principles of algorithmic problem solving, introduction to database concepts, and introduction to programming in Python. Introduction to computation on digital computers. Recommended: COMS W3261 or CSOR W4231. Prerequisites: the instructor's permission. In this course. 1 point. 3 points. Improving computer logic and circuit design. Spring 2021 Computer Science W3157 section 001 ADVANCED PROGRAMMING: Call Number: 11925: Day & Time Location: TR 4:10pm-5:25pm ONLINE ONLY: Points: 4: Grading Mode: Standard: Approvals Required: None: Instructor: Jae W Lee: Type: LECTURE: Method of Instruction: On-Line Only: Course Description: Prerequisites: (COMS W3134) or (COMS W3137) C programming language and Unix … Prerequisites: (COMS W4111) and fluency in Java or C++. Prerequisites: (CSOR W4231) or (COMS W4236) or COMS W3203 and the instructor's permission, or COMS W3261 and the instructor's permission. Prerequisites: (COMS W3203) Application of techniques through semester-long design project implementing performant, parallel application in a modern parallel programming language. Interaction techniques and metaphors, from desktop to immersive. Students who pass the Computer Science Advanced Placement Exam A with a 4 or 5 will receive 3 points and exemption from COMS W1004.Taking COMS W1007 is recommended but not required for those students exempt from COMS W1004.Participation in the minor is subject to the approval of the major program adviser. Students must select one of the following six upper-level tracks. 450 Computer Science, MC 0401 Prerequisite: Analysis of Algorithms (COMS W4231). Major emphasis on software testing. Prerequisites: Any introductory course in linear algebra and any introductory course in statistics are both required. The combination track requires a selection of six advanced courses: three 3000- or 4000-level computer science courses and three 3000- or 4000-level courses from another field. 3 points. Consult the department for section assignment. A continuation of COMS W4995 when the special topic extends over two terms. Highly recommended: Prerequisites: Background in Computer System Organization and good working knowledge of C/C++. 4 points. Causal Inference theory and applications. 3 points. As a rule, no more than 12 transfer credits are accepted toward the major. The course will cover the technologies and protocols of the Internet using equipment currently available to large internet service providers such as CISCO routers and end systems. 3 points. Firewalls, virtual private networks, viruses. Select the remaining required core courses: Any 3-point COMS 3000- or 4000-level course except those courses in the CS core or in the required or elective courses for this track. Lexical, syntactic and semantic analysis; code generation; introduction to code optimization. Minimum Course Grades. Broader impact of computers. Computer science as a science of abstraction. Prerequisites: see notes re: points Topics include hybrid systems, time, action/plans, defaults, abduction, and case-based reasoning. An introduction to modern cryptography, focusing on the complexity-theoretic foundations of secure computation and communication in adversarial environments; a rigorous approach, based on precise definitions and provably secure protocols. Prerequisites: Machine Learning (COMS W4771). Minimum Course Grades The Computer Science B.S.C.S. Storage methods and indexing, query processing and optimization, materialized views, transaction processing and recovery, object-relational databases, parallel and distributed databases, performance considerations. For a description of the joint major in mathematics—computer science, see the Mathematics section in this catalog. Program GPA requirement policies are described in the College of Engineering and Computing section of this bulletin. Columbia College students should use the school Bulletin for academic planning purposes, as not all courses listed on the University-wide Directory of Classes and Vergil are open to Columbia College students. 3 points. Applications to Boolean functions, geometric functions, automata. Boolean algebra, Karnaugh maps, basic gates and components, flipflops and latches, counters and state machines, basics of combinational and sequential digital design. Computational and statistical limitations of learning. Instruction-level and thread-level parallelism. For students who wish to combine computer science with another discipline in the arts, humanities, social or natural sciences. Corequisites: Prerequisites: Any introductory course in computer programming. Intended for nonmajors. C programming language and Unix systems programming. 3.00 points. Pipelining. Generalization of solutions to broader problems, and specialization of complex problems to make them manageable. Notice of Non-Discrimination Students with life sciences backgrounds who satisfy the prerequisites are encouraged to enroll. Case study of the UNIX operating system. Classification of problems into complexity classes, reductions, and completeness. Starting Up Right. Links to cognitive science. For administrative advising issues please contact: COMS W4772 Advanced Machine Learning. Hybrid: Hybrid courses include both teaching in-person and teaching online as part of the fundamental course design. COMS W3902 Undergraduate Thesis. The department offers four majors: computer science; information science; data science; and computer science-mathematics, offered jointly with the Mathematics Department. The study was supported by NSF NRI 1925157 and DARPA MTO grant L2M Program HR0011-18-2-0020. Highly recommended: COMS W4701 or knowledge of Artificial Intelligence. Prerequisites: Any introductory course in computer programming. Prerequisites: (COMS W4160) or equivalent, or the instructor's permission. Departmental Office: 450 Computer Science Building; 212-939-7000 Relationship between classical and quantum computing. This course may not be taken for pass/fail credit or audited. COMS W4112 Database System Implementation. Speech applications including dialogue systems, data mining, summarization, and translation. Consult the department for section assignment. degrees. Topics from generative and discriminative machine learning including least squares methods, support vector machines, kernel methods, neural networks, Gaussian distributions, linear classification, linear regression, maximum likelihood, exponential family distributions, Bayesian networks, Bayesian inference, mixture models, the EM algorithm, graphical models and hidden Markov models. COMS W4156 Advanced Software Engineering. Prerequisites: background in Computer System Organization and good working knowledge of C/C++. The combination track is not intended for those students who pursue double majors. Continue reading How a Peer-Led Class is Making Computer Science More Equitable. The authors declare no competing interests. A student planning a combination track should be aware that one additional course is required to complete this option. COMS W4205 Combinatorial Theory. The information science major can choose a scientific focus on algorithms and systems for organizing, accessing, and processing information, or an interdisciplinary focus in order to develop an understanding of, and tools for, information modeling and use within an important sector of modern society such as economics or health. CSEE W4868 System-on-chip platforms. Covers fundamental concepts of computer science, algorithmic problem-solving capabilities, and introductory Java programming skills. May be repeated for credit, but not for a total of more than 3 points of degree credit. 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