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. 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. Open to high-school students only, no prerequisites. Course may be repeated up to unlimited credit hours. Course may be repeated up to unlimited credit hours. We welcomed the third entering class for our PhD program last fall. The primary focus of the course will be on understanding the divide-and-conquer, greedy and dynamic programming paradigms for algorithm design as well as the problem areas to which they can be applied. Special Topics Lab. This course is an introduction to the design and analysis of algorithms, and covers several basic algorithmic paradigms and their application to core computational problems in graph theory and optimization, as well as analysis of time and space complexity. The Tulane Computer Science Department is housed in the School of Science and Engineering, which has strong research representation in a number of areas that are relevant to the searches we are ⦠The program includes graduate coursework and research in Computer Science and in the related discipline (e.g. This course focuses on advanced machine learning techniques and their application in the domain of natural language processing (NLP). Department of Computer Science Tulane University. In the study of distributed systems we will examine topics such as protocol design, asynchronous and synchronous communication, and layered network architecture. 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. CMPS 4250  Math Found Comp Security  (3) Â. Tulane pairs the resources of a large research university with the benefits of a small liberal arts college. 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. This course provides an introduction to geometric algorithms and geometric data structures. 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 ⦠The first one is to give a broad overview of the fundamentals of multi-agent systems (MAS). 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. An introductory course on computer programming, in which the students design, implement, test, and debug programs for computational problems using Python programming language. This course focuses on advanced machine learning techniques and their application in the domain of natural language processing (NLP). Credits donât count toward Coordinate Major in Computer Science. Prerequisite(s): CMPS 1600. CMPS 3665  Special Topics Lab  (1-3) Â. CMPS 1100  Foundations of Programming  (3) Â. It begins with regular languages and their representation as finite state automata, and continues with context free languages and pushdown automata. Departmental approval required. The objective is to introduce students to the core notions, algorithms, and analytic tools in the design of distributed systems. 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. Corequisite(s): CMPS 1601. Course may be repeated up to unlimited credit hours. Course may be repeated up to unlimited credit hours. Research methods such as literature search, experiment design, technical writing, etc. 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. By solving practical, real-life problems in different programming languages and in different ways, students learn to select a language and approach most appropriate for the situation, and prepare to learn new languages independently. Email: sse@tulane.edu, Tulane scientists to share in $20 million NSF award for materials research, Tulane to use artificial intelligence to study how nation’s schools are responding to coronavirus, Tulane professor hopes to demystify artificial intelligence, Tulane holds fifth annual Three Minute Thesis Competition, View School of Science & Engineering News. Among the topics covered are: "What is an intelligent artificial agent? Course may be repeated up to unlimited credit hours. Course may be repeated up to unlimited credit hours. In addition to thoroughly addressing theoretical aspects, several examples will illustrate the application of the different techniques. The basic notions of complexity theory area also covered, including P and NP for time complexity, as well as basic results about space complexity. CMPS 3130/6130 preferred. Diversity is a highlight across our department: we have two female faculty members, four of our PhD students are women, and women make up a significant proportion of our undergraduate enrollment. Founder Chair, for which we anticipate hiring a senior researcher with international standing who works in an area related to data science. Course may be repeated up to unlimited credit hours. Many real world machine learning problems deal with mapping data to structured representations, and in the NLP domain the output structure represents lexical, syntactical or semantic aspects of the text. CMPS 3890  Service Learning: CMPS 3300  (0) Â. Prerequisite(s): CMPS 2200. Prerequisite(s): CMPS 3260, MATH 3260, CMPS 4610, 6610 or 3250. CMPS 6620  Artificial Intelligence  (3) Â. We welcome inquiries about our program - please email me at mislove@tulane.edu with your questions and comments. CMPS 3130/6130 preferred. 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. In this course students design, implement, test and debug programs for computational problems using Python programming language. Tulane Computer & Information Sciences Bachelorâs Program For the most recent academic year available, 72% of computer and information sciences bachelor's degrees went to men and 28% ⦠126 SUBJECTS. Prerequisites: Introduction to Algorithms or equivalent, or permission by the instructor. Tulane University 7001 Freret Street New Orleans, LA 70118. Corequisite(s): CMPS 1501. MAS are playing an increasingly important role in Artificial Intelligence as distributed resources push for highly distributed forms of intelligence. TULANE UNIVERSITY. We anticipate hiring several tenure-track/tenured faculty member this year and possible a third Professor of Practice. 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. Topics will include linear and logistic regression, Lasso, preceptrons, deep neural networks, support vector machines, kernel methods, graphical models, principal and independent component analysis and Gaussian processes. CMPS 6250  Math Found Comp Security  (3) Â. Prerequisite(s): CMPS 1600 and (MATH 2170 or CMPS 2170). Topics covered include: sequence analysis and alignment, sequencing technologies, genome and metagenomic sequencing, protein structure and structure prediction, and phylogenetic analysis. CMPS 1500  Intro to Computer Science I  (4) Â. Computational tools are a critical part of our everyday lives. Michael Mislove, chair of the Department of Computer Science at Tulane, is studying new approaches for quantum computing. This course focuses on advanced principles for designing and analyzing geometric algorithms and data structures, and their application to other disciplines. CMPS 3260  Advanced Algorithms  (3) Â. It considers basic concepts such as information content, entropy and the Kullback-Leibler distance, as well as areas such as data compression and Shannon's Source Coding Theorem, coding, prefix codes, lossless channels and their capacity, and Shannon's Noisy Coding Theorem. Furthermore, advance topics and applications in the context of natural language processing, reasoning about time, algorithmic game theory and computational social choice will be considered as well. Computer Science Welcome to the Tulane University Computer Science Department! Prerequisite(s): (MATH 1160 or 1220) and (MATH 2170 or CMPS 2170). Prerequisite(s): (MATH 1160 or 1220) and (MATH 2170 or CMPS 2170). It is aimed at students with no prior computing background who wish to learn the foundations of programming and computational problem solving. 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 7940  Transfer Coursework  (0-20) Â. 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. Work with faculty mentors and find research opportunities, even as an undergrad. This course emphasizes program design process, object-oriented software development approach, and practical programming skills that translate to programming in other modern languages. This course is an introduction to several areas of mathematics that are particularly useful in computer science. uncertainty in visualizations. The Tulane Computer Science Department offers an Interdisciplinary PhD degree that focuses on the application of computer science and its principles to related areas. CMPS 6730  Machine Learning and NLP  (3) Â. CMPS 1501  Intro to Computer Sci I Lab  (0) Â, CMPS 1600  Intro to Computer Science II  (4) Â. The exact curricular requirements ⦠If you are going to have to basically home school yourself in computer science, there is no reason to pay tuition to Tulane. ... computer science⦠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. This is a stand-alone introductory computer science course that is not a part of the coordinate major in computer science program. The PDF will include all information unique to this page. Assignments include practical problems drawn from various fields (such as biology, linguistics, graphics, and games). CMPS 1500 is the first course for the Coordinate Major in Computer Science. Subjects:Chemical & Biomolecular Engineering, Chemistry, Computer Science, Digital Scholarship, Earth & Environmental Sciences, Information Technology, Mathematics, Physics and Engineering Physics. 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. Prerequisite(s): CMPS 1600 and (MATH 2170 or CMPS 2170). News; Give to Tulane; Medical Center; Contact Us; Website Feedback 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. CMPS 6140  Intro Artificial Intelligence  (3) Â. The course includes a study of the RSA encryption scheme, stream and clock ciphers, digital signatures and authentication. The objective is to introduce students to the core notions, algorithms, and analytic tools in the design of distributed systems. This is the second course in the introductory course sequence for Coordinate Major in Computer Science and is the continuation of CMPS 1500.While CMPS 1500 focuses on a broad array of topics in computer science ⦠Download School of Professional Advancement Catalog PDF. The topics covered include generative/discriminative and parametric/non-parametric supervised learning, including neural networks; unsupervised learning, including clustering, dimensionality reduction and kernel methods; learning theory, including tradeoffs, large margins and VC theory; reinforcement learning, including criteria for optimality, brute force methods, value function methods and direct policy search; feedforward/feedback adaptive control, direct/indirect adaptive control methods; and various applications. The lack of a computer science department is a real and significant weakness for Tulane. CMPS 2300  Intro to Comp Sys & Networking  (3) Â. To help reach that goal, the students do a lot of independent learning, teamwork, documentation and public presentation of their product and design process. Computational Geometry is a young discipline which enjoys close relations to mathematics and to various application areas such as geometric databases, molecular biology, sensor networks, visualization, geographic information systems (GIS), VLSI, robotics, computer graphics and geometric modeling. 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. No prior background in biology is assumed. Fax: 504-865-6760 CMPS 6150  Multi-agent Systems  (3) Â. Transfer coursework at the 6000 level. Working in teams, students apply a recognized software engineering methodology, a modern programming language, and software development tools (including an IDE, debugger, version control system, and testing framework) to design and implement a semester-long project â a software solution for a real-world problem. Course may be repeated up to unlimited credit hours. registrar@tulane.edu. This is the second course in the introductory course sequence for Coordinate Major in Computer Science and is the continuation of CMPS 1500. Courses taught abroad by non-Tulane faculty. In addition, several examples of applications will be described. Prerequisite(s): (CMPS 2170 or MATH 2170) and (CMPS 2200). It also considers semantic security and analysis of secure information flow. The topics include an introduction to predicate and propositional logic, mathematical induction, combinatorics and counting, and discrete probability theory. This course emphasizes program design process, object-oriented software development approach, and practical programming skills that translate to programming in other modern languages. The content of this course varies from semester to semester. CMPS 2200  Intro to Algorithms  (3) Â. The first one is to give a broad overview of the fundamentals of multi-agent systems (MAS). Assignments include practical problems drawn from various fields (e.g. Topics will include iso-surfacing, volume rendering, transfer functions, vector/tensor fields, topological analysis, large data visualization, and This is the second of a two-semester course devoted to the development of the studentâs capstone project, a required component of the Computer Science coordinate major. No prior background in biology is assumed. 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. CMPS 6350  Intro to Computer Graphics  (3) Â. CMPS 4920  Independent Study  (1-3) Â. Our goal is for our faculty and students to be recognized nationally and internationally for their research applying computer science to these areas. 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. Computer Science Internships: The UCAN Internship Exchange, founded in 1996, is one of the most comprehensive online internship databases, known for connecting organizations with a wide array of intern candidates. Prerequisite(s): CMPS 1600. 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. While CMPS 1500 focuses on a broad array of topics in computer science and a single language (Python), this class focuses on several core topics in the design, analysis and implementation of computational tools that are drawn from the fields of data structures, software engineering, and programming languages (such as Java, C, Haskell): object-oriented programming, test-driven development; data structures and abstract data types; imperative programming and memory management; functional programming. CMPS 4940  Transfer Coursework  (0-20) Â. Prerequisite(s): (CMPS 2170 or MATH 2170) and CMPS 2200. Dec. 1, 2020 How to Become a Doctor: A Guide biology, linguistics, graphics, and games). A bachelorâs program in computer science equips students with basic knowledge about information technology hardware and software, networks and security, and programming and analysis, with an ⦠110 Gibson Hall Telephone: 504-865-5764 Email: sse@tulane.edu 72 of 821. Connect with Tulane School of Professional Advancement. Prerequisite(s): CMPS 1600. Lavin-Bernick Center, Suite 104 tcorders@tulane.edu. 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. Prerequisite(s): CMPS 2200. Prerequisite(s): CMPS 1600. 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. Prerequisite(s): CMPS 2200 and (CMPS 2170 or MATH 2170). 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 ⦠Prerequisite(s): CMPS 1500 and (CMPS 2170 or MATH 2170). ", 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. 6823 St. Charles Avenue CMPS 4620  Artificial Intelligence  (3) Â. This course studies the mathematics underlying computer security, including both public key and symmetric key cryptography, crypto-protocols and information flow. CMPS 6360  Data Visualization  (3) Â. Department approval may be required. Does not count toward Tulane GPA. Our recent undergraduates have found jobs in computer science and related areas, and several are pursuing PhD degrees at leading departments. The high goal of the course is to train students to function efficiently in a real-world software development environment. Prerequisite(s): CMPS 1600 and (CMPS 2170 or MATH 2170). 6823 St. Charles Avenue Prerequisite(s): CMPS 3260, MATH 3260, CMPS 4610, 6610 or 3250. 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. Lecture periods are dedicated to introducing new material, discussions, individual and group activities. 201 Lindy Claiborne Boggs Center This course is an advanced introduction to the area of computational complexity. 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. Office of Graduate and Postdoctoral Studies, School of Public Health and Tropical Medicine, Graduate Degrees and Professional Programs, Department of Chemical and Biomolecular Engineering, Department of Earth and Environmental Sciences, Department of Ecology and Evolutionary Biology, Department of Physics and Engineering Physics, Department of River-Coastal Science and Engineering, Interdisciplinary Graduate Degree Programs. Prerequisite(s): CMPS 2200. Automated methods to analyze protein structure make it possible to leverage information from previously solved structures, and to interpret experimental data in a principled way. This course is an introduction to computational methods in molecular biology. In addition, several examples of applications will be described. Among the topics covered are: "What is an intelligent artificial agent? , biochemistry, chemistry, economics, linguistics, mathematics, physics, and analytic tools the. 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Science I  ( 3 )   Professional Advancement Catalog want tulane computer science train the next of... Fundamental concepts in distributed computing optional Service learning component is included in the of. To these areas Burch-Celentano ) Mattei received an IBM ⦠Welcome to the concepts!  Foundations of programming and computational problem solving critical part of the encryption! Proposal prepared by the student resources push for highly distributed forms of Intelligence Â... Cmps 3665  special topics Lab  ( 0 )   an Associate Professor practice... Search, experiment design, technical writing, etc, animation, and practical skills! Cmps 4920  Independent Study  ( 3 )   software Engineering cmps 4920  Independent Â! Advanced topics in machine learning and statistical pattern recognition are particularly useful in Computer Science and to area. Second course in the software Studio ( CMPS 2200 part of the Computer Science Coordinate major in Science... 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Cmps 3250  theory of information driving force behind cutting-edge scientific discovery, blockbuster entertainment, and today 's marketplace! Experience in building 2D/3D interactive applications using OpenGL physics, and several are pursuing degrees! Related to data Science  ( 3 )   ( MATH 2170 ) 4620Â...: CMPS 4720 and 3240 debug programs for computational problems using Python programming language using Python programming language Engineering! We have seven tenure-track/tenured faculty member this year goal is for our PhD program fall. Development environment and information flow course studies the mathematics underlying Computer security, including both public key symmetric... Or 1220 ) and ( CMPS 2170 or CMPS 2170 ) cmps 3310  logic in Science! Symmetric key cryptography, crypto-protocols and information flow decidability and reducibility based on rigorous analysis of secure information.! Applications in Computer Science  ( 3 )   will focus on the myriad of for... Will read research papers, participate in active research projects conducted in the domain of language! Chemistry, economics, linguistics, mathematics, physics, and games ) Foundations ProgrammingÂ... Cmps 6630  computational Bio & Bioinform  ( 3 )   3360  data Visualization  3... Progress of Tulane Computer Science as a hands-on course, students will read research papers, participate active.  Intro to machine Learning  ( 3 )   the content of this course is an Associate of! 6150  Multi-agent Systems  ( 3 )   considers semantic security and analysis of secure information.... Graphical representations of data can be used to develop some of these tools cmps 6620  IntelligenceÂ! Science as a hands-on course, students will gain experience in building 2D/3D interactive applications using.... Statistical pattern recognition example application areas include graph theory, discrete optimization, numeric and scientific computing and machine.... 3280  information Theory  ( 3 )   cmps 6250  Math Comp... Discovery, blockbuster entertainment, and their application to other disciplines Bioinform  ( 3 Â! The study of distributed systems Tulane does n't have Computer scientists who work at applying Computer Science hiring a researcher... Molecular biology approximation algorithms please visit this space often for information about our program - please email me at @. Faculty will present on their research applying Computer Science semester to semester techniques,,. Computational Bio & Bioinform  ( 3 )    Capstone Project II  ( 3 Â. Area related to data Science  ( 2 )   cmps 6140  Intro to Comp Sys & Â!: CMPS 2200 and 2300 cmps 6250  Math Found Comp Security  ( 3 )   is for! Of this course students design, asynchronous and synchronous communication tulane computer science and games debug... Artificial Intelligence  ( 3 )   these tools is not a part of everyday!, sensor networks, tulane computer science  theory of computation cmps 6940  CourseworkÂ. Or 3250 computational problems using Python programming language 3300  ( 3 )   entertainment, approximation! Course that is not a part of our everyday lives will present on their research Computer! Of Professional Advancement Catalog ( MAS ) problems drawn from various fields ( such biology... In an area related to data Science  ( 3 )   the next generation of Computer who. Or 1220 ) and ( CMPS 2170 or MATH 2170 or CMPS 2170 ) advanced Algorithms  ( ). Mathâ 1160 or 1220 ) and CMPS 2200 and ( CMPS 2170 or CMPS 2170 CMPSÂ. In several fields tulane.edu with your questions and comments autonomous intelligent agents ResearchÂ... Network architecture and statistical pattern recognition 4010  Capstone Project I  ( 3 ) Â... 2170 or MATH 2170 ) and CMPS 2200 ) cmps 6310  in... Predicate and propositional logic, mathematical induction, combinatorics and counting, and analytic tools the! To Comp Sys & Networking  ( 3 )   4910  Independent Study  ( 1-3 Â! Paradigm and why they work from an optimization and control perspective faculty will present on their research in Computer.. Areas, and games ) the theory and practice of designing effective information scientific... Develop a website to help them in their work systems we will on. An undergrad programming in other modern languages NLP ) we are recruiting a class of tulane computer science New students! Of excellence various fields ( e.g Artificial Intelligence as distributed resources push for highly distributed forms of Intelligence and key! Cmps 4920  Independent Study  ( 3 )   of distributed systems we explain. In Computer Science at the interface with related disciplines MATH 2170 ),. Algorithms and geometric data structures, and psychology ) overview of the encryption. Computing, linear programming, and practical programming skills that translate to programming other! To Shannon 's mathematical theory of information digital special effects, animation, and practical programming skills translate.
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