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 details the theory and practice of designing effective information or scientific visualizations. This course varies from time to time, focusing on advanced topics of interest to the faculty and students. Course may be repeated up to unlimited credit hours. He was an Assistant Professor of Computer Science and Electrical … In this course, we will focus on the myriad of algorithms for analyzing numerous aspects of protein structure and protein-protein interactions. CMPS 6260  Advanced Algorithms  (3) Â. in Computer Science as a Coordinate Major with any other stand-alone major offered by Newcomb-Tulane College. CMPS 4020  Capstone Project II  (2) Â. CMPS 3260  Advanced Algorithms  (3) Â. Courses taught abroad by non-Tulane faculty. The Tulane Computer Science Coordinate Major program helps students develop into leaders who are able to solve interdisciplinary problems using the tools of computer science and computing … The course includes a study of the RSA encryption scheme, stream and clock ciphers, digital signatures and authentication. Applications to various areas are also featured in the course. CMPS 3240  Intro to Machine Learning  (3) Â. We anticipate hiring several tenure-track/tenured faculty member this year and possible a third Professor of Practice. 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. This is a project-oriented course on fundamentals of software development and software engineering. This course studies the mathematics underlying computer security, including both public key and symmetric key cryptography, crypto-protocols and information flow. Topics typically covered include an introduction to one or more data collection and management systems, e.g., SOL, web scraping, and various data repositories; exploratory and statistical data analysis, e.g., bootstrapping, measures of central tendency, hypothesis testing and machine learning techniques including linear regression and clustering; data and information visualization, e.g., plotting and interactive charts using various technologies; and presentation and communication of the results of these analyses. ", problem solving using search and constraint satisfaction, uncertainty, Bayesian networks and probabilistic inference, supervised learning, planning, sequential decision problems, as well as several additional topics. We are hiring! Assignments include practical problems drawn from various fields (such as biology, linguistics, graphics, and games). CMPS 6280  Information Theory  (3) Â. The first one is to give a broad overview of the fundamentals of multi-agent systems (MAS). Selected topics may include: Dynamic and kinetic data structures, geometric algorithms and data structures in two and higher dimensions, shape analysis and matching, robustness and implementation issues, geometric approximation algorithms. No more than three hours of 4910-4920 may be counted toward satisfying the major requirements. This course emphasizes program design process, object-oriented software development approach, and practical programming skills that translate to programming in other modern languages. Tulane Computer & Information Sciences Bachelor’s Program For the most recent academic year available, 72% of computer and information sciences bachelor's degrees went to men and 28% … 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 … 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. ", problem solving using search and constraint satisfaction, uncertainty, Bayesian networks and probabilistic inference, supervised learning, planning, sequential decision problems, as well as several additional topics. This course is an introduction to computational methods in molecular biology. 72 of 821. 126 SUBJECTS. This course focuses on advanced machine learning techniques and their application in the domain of natural language processing (NLP). Michael Mislove, chair of the Department of Computer Science at Tulane, is studying new approaches for quantum computing. 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. The aim of this course is to provide the student with an introduction to the main concepts and techniques required for collecting, processing, and deriving insight into data. The student will prepare a final report that summarize the research methodologies and the research outcomes. CMPS 4640  Adv. CMPS 6730  Machine Learning and NLP  (3) Â. It is aimed at students with no prior computing background who wish to learn the foundations of programming and computational problem solving. This course emphasizes program design process, object-oriented software development approach, and practical programming skills that translate to programming in other modern languages. Tulane SoPA was recently ranked as one of the top 25 online security master's degree programs. The course includes a study of the RSA encryption scheme, stream and clock ciphers, digital signatures and authentication. It also considers semantic security and analysis of secure information flow. This course is an introduction to techniques, ideas, and problem-solving approaches that are used to develop some of these tools. Course may be repeated up to unlimited credit hours. The first one is to give a broad overview of the fundamentals of multi-agent systems (MAS). Prerequisite(s): (MATH 2170 or CMPS 2170) and CMPS 2200 and 2300. 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. An introductory practice-oriented course on computer programming, in which the students design, implement, test and debug programs for computational problems drawn from various fields using Python programming language, while working individually and in groups. Connect with Tulane School of Professional Advancement. This course provides an introduction to geometric algorithms and geometric data structures. The topics covered include soundness and completeness of propositional logic, predicate logic, linear time temporal logic and branching time temporal logics, and their expressive power, frameworks for software verification, Hoare triples, partial and total correctness, modal logics and agents, and binary decision diagrams. Best Colleges for Political Science … In this course the students will study the principles behind the design of modern operating systems and distributed systems through theoretical study of classic solutions and hands-on programming assignments in C. The study of architecture and organization of modern operating systems focuses on the concepts of virtualization, concurrency, and persistence. Networks, etc related discipline ( e.g cmps 4920  Independent Study  ( 3 )   by. Dissertation Research  ( 3 )   1500  Intro to MATHÂ! First one is to train students to be recognized nationally and internationally their... Visualizationâ  ( 3 )   distributed computing ( 1-3 ) Â.! Data can be used to develop some of these tools, we will explain both how networks... And in the design of autonomous intelligent agents nationally and internationally for their research applying Computer Science and Engineering Lindy! 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