Prerequisite(s): CMPS 3260, MATH 3260, CMPS 4610, 6610 or 3250. Prerequisite(s): (CMPS 2170 or MATH 2170) and CMPS 2200. This course varies from time to time, focusing on advanced topics of interest to the faculty and students. Telephone: 504-865-5764 Email: sse@tulane.edu Department approval may be required. This course is an introduction to computational methods in molecular biology. The lack of a computer science department is a real and significant weakness for Tulane. Prerequisite(s): CMPS 1500 and (CMPS 2170 or MATH 2170). Does not count toward Tulane GPA. In addition to thoroughly addressing theoretical aspects, several examples will illustrate the application of the different techniques. This is the second course in the introductory course sequence for Coordinate Major in Computer Science and is the continuation of CMPS 1500. This course focuses on advanced machine learning techniques and their application in the domain of natural language processing (NLP). This course is an advanced introduction to the area of computational complexity. office: 6823 St. Charles Ave, 303C Stanley Thomas Hall, New Orleans, LA 70118 email: jhamm3 links: home | Google scholar | people and … At the beginning of the course the scope of the project will be determined by a project proposal prepared by the student. The content of this course varies from semester to semester. This mission is accomplished by providing students with a challenging academic program of study, presented by a faculty of experienced information technology professionals and indus… It also considers semantic security and analysis of secure information flow. Situated at the nexus between economics and computer science, these research areas provide a perfect example of interdisciplinary cross-fertilization and mutual enrichment and lie at the core of multi-agent systems theory. The PDF will include all pages within the School of Social Work Catalog. Tulane SoPA was recently ranked as one of the top 25 online security master's degree programs. CMPS 4020  Capstone Project II  (2) Â. Covered topics include fundamental geometric algorithm design and analysis paradigms, geometric data structures for planar subdivisions and range searching, algorithms to compute the convex hull, Voronoi diagrams, and Delaunay triangulation, as well as selected advanced topics. Techniques covered in this course include discriminative and generative models including Structured Perceptron and Structured SVMs, Constrained Conditional Models, Probabilistic Graphical Models as well as Deep Learning techniques. Download School of Social Work Catalog PDF. This course is an introduction to computational methods in molecular biology. In addition to covering the main topics that concern modern AI, particular attention will be devoted to its applications in several fields. will be used as case studies to help students establish a firm understanding of the philosophy and pitfalls in the design of computer systems when there is no global clock and when unpredictable failures and variable latency are the norm. CMPS 2200  Intro to Algorithms  (3) Â. The objective is to introduce students to the core notions, algorithms, and analytic tools in the design of distributed systems. Prerequisite(s): CMPS 1600. Most assignments in this course are programming assignments aimed to teach the students to express their ideas in efficient and elegant code; no prior programming experience is necessary to join and succeed in the course. Prerequisite(s): CMPS 2200. 201 Lindy Claiborne Boggs Center Courses taught abroad by non-Tulane faculty. The course will provide the student with an understanding of how self-interested behavior and coordination can be formally modeled and implemented in societies of artificial agents. Details about interdisciplinary activities of the Computer Science graduate faculty are given below. Example application areas include graph theory, discrete optimization, numeric and scientific computing and machine learning. This component provides a unique experience of communicating with a nontechnical customer, converting their requirements into technical specifications, working to meet those requirements, continuously refining those requirements, experiencing real-life associated technical challenges (such as environment incompatibility, difference in data formats, restricted access to data), preventing and resolving those challenges, and seeing a product come to life. CMPS 3660  Special Topics in Computer Sci  (1-3) Â. This course focuses on advanced principles for designing and analyzing geometric algorithms and data structures, and their application to other disciplines. CMPS 6360  Data Visualization  (3) Â. Course may be repeated up to unlimited credit hours. The aim of this course is to provide the student with an introduction to the main concepts and techniques playing a key role in the modern arena of artificial intelligence. New Orleans, LA 70118-5698, Telephone: 504-865-5764 Corequisite(s): CMPS 1601. CMPS 1601  Intro to Comp Science II Lab  (0) Â, CMPS 1660  Special Topics in Computer Sci  (1-3) Â. CMPS 3350  Intro to Computer Graphics  (3) Â. This course is an introduction to several areas of mathematics that are particularly useful in computer science. Prerequisite(s): CMPS 2200. In all, we have fourteen PhD students. CMPS 6760  Distributed Systems  (3) Â. Open to high-school students only, no prerequisites. A bachelor’s program in computer science equips students with basic knowledge about information technology hardware and software, networks and security, and programming and analysis, with an … This course is required for all PhD students in Computer Science. Subjects:Chemical & Biomolecular Engineering, Chemistry, Computer Science, Digital Scholarship, Earth & Environmental Sciences, Information Technology, Mathematics, Physics and Engineering Physics. Modern computer systems must take advantage not only of the latest hardware technology, but also of the ability to compute and communicate over a network. Prerequisite(s): CMPS 2200. Prerequisites: Introduction to Algorithms or equivalent, or permission by the instructor. An introductory course on computer programming, in which the students design, implement, test, and debug programs for computational problems using Python programming language. Prerequisite(s): CMPS 1500. Course may be repeated up to unlimited credit hours. This is a stand-alone introductory computer science course that is not a part of the coordinate major in computer science program. Prerequisite(s): MATH 2170 or CMPS 2170. Best Colleges for Political Science … Prerequisite(s): MATH 3050 or 3090. An optional service learning component is included in the Software Studio (CMPS 3300/6300) course. CMPS 1500  Intro to Computer Science I  (4) Â. Computational tools are a critical part of our everyday lives. Lavin-Bernick Center, Suite 104 tcorders@tulane.edu. The PhD Program in Computer Science guides students from beginning graduate study in Computer Science all the way through to completion of their dissertation research. Software is the driving force behind cutting-edge scientific discovery, blockbuster entertainment, and today's fast-paced marketplace. The objective of the course is to introduce students to the core concepts and analytic techniques in the design and analysis of computer networks and network protocols. Department of Computer Science; School of Science and Engineering; Tulane University; 307B Stanley Thomas Hall, 6823 St. Charles Avenue; New Orleans, LA 70118; Phone: (504) 247-1468 Fax: (504) 865-5786; Email: zzheng3 at tulane … 504-865-5687. In this course, we will focus on the myriad of algorithms for analyzing numerous aspects of protein structure and protein-protein interactions. CMPS 3360  Data Visualization  (3) Â. No more than three hours of 4910-4920 may be counted toward satisfying the major requirements. CMPS 1100  Foundations of Programming  (3) Â. Transfer coursework at the 7000 level. The aim of this course is to provide the student with an introduction to the main concepts and techniques playing a key role in the modern arena of artificial intelligence. An introductory course on computer programming and problem-solving using computers. CMPS 7021  Research in Computer Science  (3) Â, CMPS 7022  Research in Computer Science  (3) Â, CMPS 7120  Advanced Topics in Computer Sc  (3) Â. Download Academic Catalog Telephone: 504-865-5764 Email: sse@tulane.edu Download School of Professional Advancement Catalog PDF. The second aim is to provide a more in depth discussion of selected MAS topics: game theory and voting from a computational point of view. Them in their work research methods in molecular biology discrete probability theory cmps 6310  logic in Computer Sci (. S ): CMPS 3260, MATH 3260, CMPS 4610, 6610 or 3250, etc development and Engineering..., as well as decidability and reducibility designed as a hands-on course, we will explain both how networks! Particularly useful in Computer Science department as decidability and reducibility at applying Computer Science department Multi-agent Â. 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