Fault Tolerant Comp Sys Dsgn - 21051 - CS 59000 - 001 |
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Associated Term: Fall 2018
Registration Dates: Mar 19, 2018 to Aug 26, 2018 Levels: Graduate, Professional, Undergraduate Attributes: Upper Division, Variable Title West Lafayette Campus Lecture Schedule Type 3.000 Credits View Catalog Entry Course Materials
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RLA Algorithms & Applications - 23900 - CS 59000 - 002 |
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Associated Term: Fall 2018
Registration Dates: Mar 19, 2018 to Aug 26, 2018 Levels: Graduate, Professional, Undergraduate Attributes: Upper Division, Variable Title West Lafayette Campus Individual Study Schedule Type 3.000 Credits View Catalog Entry Course Materials
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Blockchain Based System - 23997 - CS 59000 - 003 |
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Associated Term: Fall 2018
Registration Dates: Mar 19, 2018 to Aug 26, 2018 Levels: Graduate, Professional, Undergraduate Attributes: Upper Division, Variable Title West Lafayette Campus Individual Study Schedule Type 3.000 Credits View Catalog Entry Course Materials
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3D Protein Structure Modeling - 24247 - CS 59000 - 004 |
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Associated Term: Fall 2018
Registration Dates: Mar 19, 2018 to Aug 26, 2018 Levels: Graduate, Professional, Undergraduate Attributes: Upper Division, Variable Title West Lafayette Campus Individual Study Schedule Type 3.000 Credits View Catalog Entry Course Materials
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Deep Learning For Audio Data - 24719 - CS 59000 - 005 |
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Associated Term: Fall 2018
Registration Dates: Mar 19, 2018 to Aug 26, 2018 Levels: Graduate, Professional, Undergraduate Attributes: Upper Division, Variable Title West Lafayette Campus Individual Study Schedule Type 1.000 Credits View Catalog Entry Course Materials
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Artificial Intelligence - 23244 - CS 59000 - AI0 |
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Associated Term: Fall 2018
Registration Dates: Mar 19, 2018 to Aug 26, 2018 Levels: Graduate, Professional, Undergraduate Attributes: Upper Division, Variable Title West Lafayette Campus Lecture Schedule Type 3.000 Credits View Catalog Entry Course Materials |
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AI Meets Sustainability - 20168 - CS 59000 - AMS |
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https://www.cs.purdue.edu/homes/yexiang/courses/18fall-cs590/index.html, https://www.cs.purdue.edu/homes/yexiang/courses/18fall-cs590/index.html.
Associated Term: Fall 2018 Registration Dates: Mar 19, 2018 to Aug 26, 2018 Levels: Graduate, Professional, Undergraduate Attributes: Upper Division, Variable Title West Lafayette Campus Lecture Schedule Type 3.000 Credits View Catalog Entry Course Materials
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Computing For Life Sciences - 59501 - CS 59000 - CLS |
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Associated Term: Fall 2018
Registration Dates: Mar 19, 2018 to Aug 26, 2018 Levels: Graduate, Professional, Undergraduate Attributes: Upper Division, Variable Title West Lafayette Campus Lecture Schedule Type 3.000 Credits View Catalog Entry Course Materials
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Crowdsourcng & Social Computng - 20173 - CS 59000 - CSC |
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Crowdsourcing and social computing sits at the intersection of computer science, economics and other social sciences. It concerns developing empirical understandings and designing computational systems and techniques to enable effective interactions between people and machines for solving complex problems. This course surveys the state of the art in this area. Topics of interests include incentive design, workflow design, quality control and intelligent management in crowdsourcing, computer supported collaborative work, and applications in various domains like artificial intelligence and citizen science. Basic programming skills required. http://mingyin.org/CS590/Fall2018/index.html
Associated Term: Fall 2018 Registration Dates: Mar 19, 2018 to Aug 26, 2018 Levels: Graduate, Professional, Undergraduate Attributes: Upper Division, Variable Title West Lafayette Campus Lecture Schedule Type 3.000 Credits View Catalog Entry Course Materials
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Deep Learning & Sym Reasoning - 20165 - CS 59000 - DLS |
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Despite the recent successes of deep neural networks in fields such as image recognition, machine translation, or gameplay, big challenges remain in applying deep learning techniques to applications that require symbolic reasoning: theorem proving, compiler optimization, software verification and synthesis, and solving NP-complete problems. This research-focused seminar aims to make progress in this exciting and timely field. For more info see tiarkrompf.github.org/cs590/2018. Students are expected to come with background knowledge on either deep learning or symbolic reasoning (programming languages / formal methods).
Associated Term: Fall 2018 Registration Dates: Mar 19, 2018 to Aug 26, 2018 Levels: Graduate, Professional, Undergraduate Attributes: Upper Division, Variable Title West Lafayette Campus Lecture Schedule Type 3.000 Credits View Catalog Entry Course Materials
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Economics And Computation - 20111 - CS 59000 - EAC |
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This course will introduce the area of EconCS by studying games, mechanism design, auction theory, fair division, voting, complexity of equilibria, dynamics, and markets. See more info at simina.info/econcs.html. Mathematical maturity, calculus, probability, undergraduate algorithms required.
Associated Term: Fall 2018 Registration Dates: Mar 19, 2018 to Aug 26, 2018 Levels: Graduate, Professional, Undergraduate Attributes: Upper Division, Variable Title West Lafayette Campus Lecture Schedule Type 3.000 Credits View Catalog Entry Course Materials
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Graph Data Management - 23427 - CS 59000 - GDM |
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For details see https://www.cs.purdue.edu/homes/aref/Fall2018CS590-Graph-Data-Systems/index.html
Associated Term: Fall 2018 Registration Dates: Mar 19, 2018 to Aug 26, 2018 Levels: Graduate, Professional, Undergraduate Attributes: Upper Division, Variable Title West Lafayette Campus Lecture Schedule Type 3.000 Credits View Catalog Entry Course Materials
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Hands-On Learning Theory - 21865 - CS 59000 - HLT |
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For details see: http://www.cs.purdue.edu/homes/jhonorio/18fall-cs59000hlt.html
Associated Term: Fall 2018 Registration Dates: Mar 19, 2018 to Aug 26, 2018 Levels: Graduate, Professional, Undergraduate Attributes: Upper Division, Variable Title West Lafayette Campus Lecture Schedule Type 3.000 Credits View Catalog Entry Course Materials
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Practical And Applied Crypto - 20097 - CS 59000 - PAC |
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This course will cover cryptography as it is applied to real world systems, both in how to build secure systems as well as examining flaws and "breaks" in already deployed systems. We will also discuss the mistakes that led to these flaws, how these flaws could have been prevented, and various tools and techniques that exist for building cryptographic systems in practice. See https://www.cs.purdue.edu/homes/clg/CS590/ for details. "C" or better in CS 52600 or CS 42600 (or permission of instructor) required, CS 35500 Introduction to Cryptography or CS 55500 Cryptography and Data Security recommended.
Associated Term: Fall 2018 Registration Dates: Mar 19, 2018 to Aug 26, 2018 Levels: Graduate, Professional, Undergraduate Attributes: Upper Division, Variable Title West Lafayette Campus Lecture Schedule Type 3.000 Credits View Catalog Entry Course Materials |
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Reliable And Secure Systems - 23225 - CS 59000 - RSS |
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Course will cover building reliable and secure systems through the use of testing, trusted hardware, verification, and other techniques. https://www.cs.purdue.edu/homes/pfonseca/teaching/cs590/18fall/
Associated Term: Fall 2018 Registration Dates: Mar 19, 2018 to Aug 26, 2018 Levels: Graduate, Professional, Undergraduate Attributes: Upper Division, Variable Title West Lafayette Campus Lecture Schedule Type 3.000 Credits View Catalog Entry Course Materials |
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Security Analytics - 15899 - CS 59000 - SA0 |
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Previous or concurrent enrollment in CS 52600 is required.
Associated Term: Fall 2018 Registration Dates: Mar 19, 2018 to Aug 26, 2018 Levels: Graduate, Professional, Undergraduate Attributes: Upper Division, Variable Title West Lafayette Campus Lecture Schedule Type 3.000 Credits View Catalog Entry Course Materials
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Intro To Data Visualization - 23228 - CS 59000 - TDV |
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The course offers an introduction to the basic principles, strategies, and techniques needed to visually explore and analyze data. The course focuses primarily on information visualization, whose goal is to create spatial representations of inherently non-spatial data. Typical examples of such data include tables, graphs, trees, text, maps, time series, etc... The lectures will present various techniques and discuss their strengths and limitations in practical scenarios. Students will gain hands-on experience by visualizing real world using advanced visualization software. The course material is self-contained and no graphics background is assumed. Basic programming experience required.
Associated Term: Fall 2018 Registration Dates: Mar 19, 2018 to Aug 26, 2018 Levels: Graduate, Professional, Undergraduate Attributes: Upper Division, Variable Title West Lafayette Campus Lecture Schedule Type 3.000 Credits View Catalog Entry Course Materials |
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