This is a directed study course that allows a student to pursue a topic of particular interest under the direction of a computer science faculty member. Course may be repeated up to unlimited credit hours. Computer Science #3 in ... Tulane University is ranked #41 in National Universities. Prerequisite(s): CMPSÂ 1600. Prerequisite(s): (MATHÂ 1160 or 1220) and (MATHÂ 2170 or CMPSÂ 2170). This course focuses on advanced principles for designing and analyzing geometric algorithms and data structures, and their application to other disciplines. CMPS 6150Â Â Multi-agent SystemsÂ Â (3)Â Â. CMPS 7940Â Â Transfer CourseworkÂ Â (0-20)Â Â. Topics include: divide-and-conquer, dynamic programming, amortized analysis, graph algorithms, network flow, map reduce, and more advanced topics in approximation algorithms and randomized algorithms. Prerequisite(s): CMPSÂ 1600. The course will cover fundamental notions and concepts such as uninformed and informed search, local search, constraint satisfaction and constraint-based optimization, Bayesian Networks, Markov Decision Problems and a short introduction on machine learning. The content of this course varies from semester to semester. Students will read research papers, participate in active research projects, and practice preparing and presenting research presentations. TULANE UNIVERSITYOFFICE OF THE REGISTRAR CMPSÂ 3130/6130 preferred. This course covers the fundamental concepts in distributed computing. It also considers semantic security and analysis of secure information flow. This course focuses on advanced techniques in the design and analysis of algorithms and illustrates how they are used in deriving a variety of now-classic results. The PDF will include all information unique to this page. 110 Gibson Hall Prerequisite(s): (MATHÂ 1160 or 1220) and (MATHÂ 2170 or CMPSÂ 2170). This course is an introduction to Shannon's mathematical theory of information. Prerequisite(s): CMPSÂ 1600 and (MATHÂ 2170 or CMPSÂ 2170). CMPS 2170Â Â Intro to Discrete MathÂ Â (3)Â Â. Read more about how we calculate our rankings. The mission of the Information Technology Program at Tulaneâs School of Professional Advancement is to prepare students who are professionally competent and able to make valuable contributions to an organization in the application of knowledge and skills in information technology to help in achieving organization goals. This course is an introduction to several areas of mathematics that are particularly useful in computer science. Prerequisites: Introduction to Algorithms or equivalent, or permission by the instructor. The techniques learned in this class have wide applications to all fields in engineering and science, where due to increasing sizes and complexity, data now demands effective presentation and analysis. Computer science at Tulane University, eliminated after Hurricane Katrina but brought back in 2012, has taken another leap forward with the creation of a doctoral program that aims to produce leading researchers and further prepare computer â¦ Topics usually include: asymptotic analysis and big-O notation; divide-and-conquer algorithms; recurrences and the master method; greedy algorithms; graph algorithms (Breadth-First Search, Depth-First Search, Connectivity and Shortest Paths); dynamic programming; linear programming; lower bounds and computational complexity. Download School of Social Work Catalog PDF. CMPS 3140Â Â Intro Artificial IntelligenceÂ Â (3)Â Â. Departmental approval required. The high-level goal of this course is to train students to be able to draw from a versatile set of skills, which in turn will provide a strong foundation for further study in computer science. Welcome to the Tulane University Computer Science Department! We are hiring! Telephone: 504-865-5764 Email: [email protected]
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