Cs.purdue.edu

Purdue University - Department Of Computer Science

Nov 30, 2020  · Upcoming Semesters. Fall 2021 Courses. Summer 2021 Courses. Spring 2022 Courses. Non-majors should plan to take CS core courses during “off peak” as follows:

Actived: Tuesday Apr 13, 2021

Detail: https://www.cs.purdue.edu/academic-programs/courses/upcoming_semesters.html

CS 490D: Introduction to Data Mining

Posted: (0 seconds ago) Course Topics (jump to outline) This course will be an introduction to data mining. Topics will range from statistics to machine learning to database, with a focus on analysis of large data sets. Expect at least one project involving real data, that you will be the first to apply data mining techniques to.

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Purdue CS590: Cloud-Native Database Systems

Posted: (0 seconds ago) Course Description. Cloud has already become the new norm today with more and more applications and systems moving to the cloud. For system builders, it is imperative to purposely optimize system design and implementation explicitly for the underlying cloud infrastructure to achieve the best elasticity, cost, and efficiency.

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Purdue University - Department of Computer Science ...

Posted: (0 seconds ago) Nov 30, 2020  · Undergraduate course listing; Catalog Title Instructor Time; CS 10100: Digital Literacy George B. Adams, III: Time: CS 15900: C Programming William N Crum Ruby Tahboub Marta A. Crowe Xiaojin Liu Gary McFall: Time: CS 17700: Programming …

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Purdue University - Department of Computer Science ...

Posted: (0 seconds ago) Mar 10, 2021  · A CPT is intended to enhance the student’s educational experience and provide additional learning opportunities that cannot be gained through course work alone. Internships provide students with exposure to professional work environments, varying …

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CS 37300: Data Mining & Machine Learning

Posted: (0 seconds ago) Course Outline Course Topics. This course will introduce students to the field of data mining and machine learning, which sits at the interface between statistics and computer science. Data mining and machine learning focuses on developing algorithms to automatically discover patterns and learn models of large datasets.

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CS47100: Introduction to Artificial Intelligence

Posted: (0 seconds ago) Course outline. Introduction (1 week) What is artificial intelligence? Overview of AI history and associated application areas. Search (3 weeks) Problem solving as search, heuristic search, constraint satisfaction, adversarial search.. Reasoning with logic (2 weeks) Propositional logic and first-order logic, logical reasoning and inference.

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CS381 Introduction to the Analysis of Algorithms

Posted: (0 seconds ago) Course description The course gives a broad introduction to the design and analysis of algorithms. A tentative list of topics includes: sorting and order statistics; common algorithm design techniques, including divide-and-conquer, dynamic programming, and greedy; design and use of data structures; flows and cuts; lower bound techniques; graph algorithms; NP-completeness; randomized algorithms ...

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CS 47300: Web Information Search And Management

Posted: (0 seconds ago) Course Outline Course Topics. This course teaches important concepts and knowledge of information retrieval for managing unstructured data such as text data on Web or in emails. At the same time, students will be exposed to a large number of important applications. Students in the course will get hands on experience from homework and a course ...

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Purdue University - Department of Computer Science ...

Posted: (0 seconds ago) Mar 31, 2021  · To view course details for all tracks at the same time, click Computer Science Track Details Prior to Fall 2019 (PDF) or Computer Science Track Details as of Fall 2019 (PDF). The Department of Computer Science does not accept transfer credit for 300 or 400 level CS coursework (with the exception of pre-approved Study Abroad coursework).

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Purdue University - Department of Computer Science ...

Posted: (0 seconds ago) Up to six semester-hours of credit for graduate courses taken at other institutions may be transferred with the approval of the Graduate Committee and the Graduate School. The grades must be A or B or the equivalent. Application for transfer is made when the plan of studyis submitted for approval. Students may ask the Graduate Committee to accept equivalent graduate courses taken at other institutions in lieu of at most two of the above courses. Requests must be submitted to the CS grad office within the first six we…

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Purdue University - Department of Computer Science ...

Posted: (0 seconds ago) Latest updates on the campus experience and news related to COVID-19 - Visit Protect Purdue

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Purdue University - Department of Computer Science ...

Posted: (0 seconds ago) Dec 18, 2020  · Undergraduate course listing; Catalog Title Instructor Time; CS 15900: C Programming William N Crum Xiaojin Liu: Time: CS 17700: Programming With Multimedia Objects Gary McFall: Time: CS 18000: Problem Solving And Object-Oriented Programming H. E. Dunsmore: Time: CS 18200

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Purdue University: Computer Science Professional Masters ...

Posted: (0 seconds ago) The course highlights and illustrates the use of these concepts in major application domains including secure communication, data integrity, authentication, identification, time-stamping, digital cash and cyber-currencies, anonymity, and simultaneity. Focus Courses. Four courses are required from the additional course offerings:

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Computer Science Course Access & Request Policy

Posted: (0 seconds ago) Feb 18, 2021  · All course access requests (undergraduate and graduate) MUST be submitted through the scheduling assistant. Emails, phone calls and walk-in requests WILL NOT BE ACCEPTED. A request is not a guarantee that a seat in a course will be offered or that the request will be approved, even if space is available in te course.

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CS 34800: Information Systems

Posted: (0 seconds ago) The course will be taught through lectures, supplemented with reading. The PSO sections will provide an additional opportunity to ask questions and work through problems, and will be the primary venue where the projects will be introduced and discussed. The ...

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CS53000 - Syllabus

Posted: (0 seconds ago) Scientific visualization creates interactive visual representations of numerical datasets obtained through simulation or measure to facilitate their analysis. The course provides an introduction to the principles of this discipline and presents the main techniques used in practice. The lectures cover the visualization of 2D, 3D, and time-dependent datasets corresponding to scalar, vector, and tensor attributes, as well as the depiction of non-spatial or high-dimensional data. The presentation emphasizes the practical role o…

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Purdue University - Department of Computer Science - Fall ...

Posted: (0 seconds ago) Mar 18, 2021  · Undergraduate course listing; Catalog Title Instructor Time; CS 10100: Digital Literacy Xiaojin Liu: Time: CS 17700: Programming With Multimedia Objects Gary McFall: Time: CS 18000: Problem Solving And Object-Oriented Programming H. E. …

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Purdue University - Department of Computer Science ...

Posted: (0 seconds ago) Dec 03, 2018  · Take an approved CS 500-level course and CS 49700. One or both of these courses may be used to fulfill the student's CS track requirements, subject to approval of the track chair. MA 35100, Elementary Linear Algebra (in lieu of MA 26500). An *approved mathematics course beyond MA 35100 or an *approved statistics course beyond STAT 51100.

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Purdue University - Department of Computer Science ...

Posted: (0 seconds ago) Jan 11, 2021  · If a course is repeated, only the last grade, even if lower, is used to compute all GPAs involving that course. Courses from other institutions may be accepted with the approval of the student's advisory committee, the Graduate Committee, and the Graduate School. The minimum acceptable grade for such courses is B- or the equivalent.

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Operating Systems: Course Website

Posted: (0 seconds ago) This is an undergraduate introductory course to operating systems thatinvestigates how modern operating systems are architected and implemented.Extensive implementation experience is gained by coding, testing,and benchmarking key components of the XINU operating system ondedicated backend hardware. Our main implementation platform will bex86-compatible backend machines and Intel x86 frontend PCs wherecode is developed.Most coding is done in C, with some hardwaredependent compo…

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CS 54100: Database Systems

Posted: (0 seconds ago) Course Methodology. The course will be taught through lectures, supplemented with reading. The primary reading will be from the text, with supplementary material from current research literature where appropriate. The written assignments and projects are also …

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CS578: Statistical Machine Learning

Posted: (0 seconds ago) When: Mon/Wed 4:30 pm -- 5:45 pm. Where: HAAS G066. Instructor: Yexiang Xue, [email protected] Teaching Assistant: Shamik Roy ([email protected]), Pradeep Kumar Srinivasan ([email protected]) Office Hour: Yexiang Xue, Mon 4:00 -- 4:30 pm (by appointment, notified at least by 5 am the corresponding Monday). Shamik Roy, 1:15 pm -- 2:15 pm on Tuesdays. Location: HAAS G50. Pradeep Kumar Srinivasan, 1:30 -- 2:30 pm on Thursdays. Location: HAAS G50. Online discussio…

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CS 37300: Data Mining and Machine Learning

Posted: (0 seconds ago) This course introduces students to the process and main techniques in data mining and machine learning, including exploratory data analysis, predictive modeling, descriptive modeling, and evaluation. In particular, topics in supervised learning include: linear and non-linear classifiers, anomaly detection, rating, ranking, model selection.

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Purdue University - Department of Computer Science ...

Posted: (0 seconds ago) Mar 23, 2017  · The Course Prerequisite Chart (PDF) may be helpful in selecting the five courses. Double Majors. Many Purdue students choose to double major or pick up a minor. In Computer Science, popular dual majors are mathematics, statistics and management.

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Purdue University - Department of Computer Science - Fall ...

Posted: (0 seconds ago) Nov 30, 2020  · Graduate course listing; Catalog Title Instructor Time; CS 50023: Data Engineering I Ruby Tahboub: Time: CS 50024: Data Engineering II Ruby Tahboub: Time: CS 50025: Foundations Of Decision Making Young-San Lin: Time: CS 50100

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Purdue University - Department of Computer Science - CS ...

Posted: (0 seconds ago) Feb 15, 2019  · The course focuses on using computational methods and statistical techniques to analyze massive amounts of data and to extract knowledge. It provides an overview of foundational computational and statistical tools for data acquisition and cleaning, data manipulation, data analysis and evaluation, visualization and communication of results, data ...

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Distributed Database Systems - Purdue University

Posted: (0 seconds ago) Course Methodology. The course will be taught through lectures, supplemented with reading. The primary reading will be from the text, with supplementary material from current research literature where appropriate. The written assignments and projects are also …

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CP Courses (Summer 2020) - Purdue University

Posted: (0 seconds ago) The course uses C++, but focuses on the procedural parts of C++ that are largely shared by Java and C. The goal is not to teach the C++ language, but rather to teach how to program. Emphasis is on effective usage of primitive data types, control statements, arrays, functions, strings, bit operations, and a few classes in STL (e.g., vector, set ...

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Purdue University - Department of Computer Science - Why ...

Posted: (0 seconds ago) Feb 27, 2020  · Bridge is a two-week summer residential course designed for incoming freshmen with little or no programming experience. Covering 70 percent of your first semester in CS 180, Bridge will get you up to speed in programming as you prepare to launch your Purdue career. CS 180 Black and Gold.

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Purdue University - Department of Computer Science - New ...

Posted: (0 seconds ago) Nov 05, 2019  · This course's primary objective is to train contestants to participate in ICPC. Students participate in external programming competitions (e.g., CodeForces, USACO Platinum), discussed problems. Each student is expected to teach a lecture in CP3. Course may be repeated

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Purdue University - Department of Computer Science ...

Posted: (0 seconds ago) Nov 30, 2020  · Undergraduate course listing; Catalog Title Instructor Time; CS 10100: Digital Literacy George B. Adams, III: Time: CS 15900: C Programming William N Crum Ruby Tahboub Marta A. Crowe Xiaojin Liu Gary McFall: Time: CS 17700: Programming …

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Purdue University - Department of Computer Science - Data ...

Posted: (0 seconds ago) Mar 03, 2020  · A capstone course or experience is also part of the data science major. Other computer science and statistics electives allow students to tailor the major to personal interests. All beginning data science majors are required to take CS 19100 , Freshman Resources Seminar and CS 19300, Tools.

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Purdue University - Department of Computer Science - Vocareum

Posted: (0 seconds ago) Sep 15, 2020  · All of the Vocareum assignments for a course can be found in the assignment list sidebar on the left side of the Edit Assignments tab. Configuring an Assignment Selecting an individual assignment will open its details page on the right. You can edit …

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CS(i+1)90-CPi - Purdue University

Posted: (0 seconds ago) The course is taught in a problem driven fashion, where language features and programming techniques are demonstrated using code to solve example problems. The course uses C++, but will focus on the procedural parts of C++ that are largely shared by Java and C. The goal of is not to teach the C++ language, but rather to teach how to program.

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Syllabus - CS448 Fall 2017 - Purdue University

Posted: (0 seconds ago) Course Overview. This course covers fundamental concepts of database and information systems. These concepts include database modeling and design, relational databases, querying and SQL, object-based databases, XML and web databases, data storage, transactions, database system architectures, data mining and warehousing techniques, client/server paradigm, middleware, ODBC, JDBC, …

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Purdue University - Department of Computer Science - BS/MS ...

Posted: (0 seconds ago) Apr 06, 2021  · The MS will be the student's secondary degree objective from the time the student is accepted as an MS student by the Graduate School until the award of the BS. During this period commonly referred to as the combined year, the student must take at least one three-credit graduate course each semester. Application Windows

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CS 59000-OPT Syllabus – Computational methods in optimization

Posted: (0 seconds ago) This course is a introduction to optimization for graduate students in any computational field. It will cover many of the fundamentals of optimization and is a good course to prepare those who wish to use optimization in their research and those who wish to become optimizers by …

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CS252 - Purdue University

Posted: (0 seconds ago) CS252 - Purdue University

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Purdue University - Department of Computer Science ...

Posted: (0 seconds ago) Jun 15, 2020  · Course Title; CS 34800: Information Systems: CS 35200: Compilers: Principles and Practice: CS 35300: Principles of Concurrency and Parallelism: CS 35400: Operating Systems: CS 37300: Data Mining and Machine Learning: CS 38100: Introduction to the Analysis of Algorithms: CS 42200: Computer Networks: CS 42600: Computer Security: CS 44800 ...

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CS590: Network Intelligence in 5G and Beyond (Spring 2019)

Posted: (0 seconds ago) This course is approved for both MS & PhD plans of study. This is a new course. I offered the first 5G course in the US universities (CS590:Embracing 5G and Beyond 5G in Fall 2017.Many thanks to positive feedback from the students in the class, and nice suggestions from professors, researchers and students in this area, I re-develop and refine this new course with a focus on network ...

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cs25000:fall2017:start [Computer Science Courses]

Posted: (0 seconds ago) Oct 29, 2017  · Course instructor and staff will not make efforts to determine the source of copied submitted graded work. All instances of copied graded work will receive the same treatment under this academic honesty policy. Therefore, we recommend that you take precautions to …

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CS 334, Computer Science, Purdue University

Posted: (0 seconds ago) Course material. Recommended texts ; Peter Shirley, Fundamentals of Computer Graphics, ISBN 1568811241; Alan Watt, 3D Computer Graphics, ISBN 0-201-39855-9 ; Foley, van Dam et al., Computer Graphics Principles and Practice, ISBN 0-201-84840-6

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Alex Pothen - Purdue University

Posted: (0 seconds ago) Course Syllabus (PDF file) Office Hours: Wed 4:00 - 5:00 P.M., and by appointment Fall 2020 CS 314 Numerical Methods Tues, Thurs, 10:30 - 11:45 A.M. Recorded lectures; more information in Brightspace Spring 2020 CS 514 Numerical Analysis Tues, Thurs, 10:30 - 11:45 A.M. Haas G066 Course Syllabus (PDF file) Fall 2019

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spring20:start [Computer Science Courses]

Posted: (0 seconds ago) Jan 30, 2020  · Undergraduate course listing; Catalog Title Instructor Time; CS 15900: C Programming: Alan R. Bunning William N Crum Gary McFall: Time: CS 17700: Programming With Multimedia Objects: Gary McFall: Time: CS 18000: Problem Solving And Object-Oriented Programming: Tony Bergstrom H. E. Dunsmore: Time: CS 18200: Foundations Of Computer Science ...

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Numerical Analysis - Purdue University - Department of ...

Posted: (0 seconds ago) The course materials (homeworks, slides, lecture notes, etc.) are materials that bear my copyright (except for the videos, those are from Purdue this semester because we are reusing old recordings). These materials may not be posted, shared, redistributed to others who are not registered for this class without my express written permission.

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Purdue University - Department of Computer Science - CS ...

Posted: (0 seconds ago) Sep 10, 2020  · Her ultimate goal, though, is to help others chart their course by developing computer software that can explore the farthest reaches of the solar system and distant galaxies. Davis is one of 88 students participating in a newly created program to bring the best and the brightest to Purdue University’s College of Science.

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