cse 332 data structures and parallelism

Best Videos, Notes & Tests for your Most Important Exams. CSE 332: Data Structures and Parallelism Among computer science majors, CSE 332: Data Structures and Parallelism is generally regarded as the most important class you can take. CSE 332 Data Structures and Parallelism Autumn 2020 Instructor: Ruth Anderson Email: rea at cs.washington.edu Office Location: Allen Center (CSE) 558 (not during 20au!) Our optional Textbook this quarter will be Data Structures and Algorithm Analysis in Java, 3rd edition (Weiss). View code README.md CSE332. CSE 332: Data Structures & Parallelism (Instructor) Autumn 2016 (UW) CSE 143: Computer Programming II (Instructor) CSE 390P: Problem Solving with Programming (Instructor) Spring 2016 (UW) CSE 311: Foundations of Computing I (Instructor) Winter 2016 (UW) CSE 332: Data Abstractions (Instructor) Engineering professional with a Bachelor's degree in Computer Science from University of Washington and an interest in User Experience and Product Design. README.md . Data Structures and Algorithm Analysis in Java.pdf . The input array is provided. Textbook: Data Structures and Algorithm Analysis in Java 3rd Ed., Mark Allen Weiss, Addison Wesley: 2011, ISBN: 0132576279 Errata is here. Distinguish parallelism (using extra computational units to do more work per unit time) from concurrency (managing access to shared resources). I've been a TA for the following courses: at Washington CSE 312 Foundations of Computing II, Winter 2020, Spring 2020 CSE 431 Theory of Computation, Autumn 2019 Catalog Description: Covers abstract data types and structures including dictionaries, balanced trees, hash tables, priority queues, and graphs; sorting; asymptotic analysis; fundamental graph algorithms including graph search, shortest path, and minimum spanning trees; concurrency and synchronization; and parallelism. No credit for graduate students or undergraduates in Computer Science or Computational Media. However, the unit should fit well somewhere in most computer science curricula. CSE332: Data Structures and Parallelism. CSE 332: Data Structures and Parallelism Spring 2020 Setting Up Your CSE 332 Environment This document guides you through setting up IntelliJ for CSE 332 in various parts. (c) Does adding more processors aﬀect the work or span? Favorite CSE class(es): CSE 332 (Data Structures and Parallelism) What are you excited to do as part of ACM this year? Our university is on a ten-week quarter system, with most computer science courses (including data structures) having three 50-minute lectures and one … 1. 3. %�� Welcome to CSE 332! <>/ExtGState<>/ProcSet[/PDF/Text/ImageB/ImageC/ImageI] >>/Annots[ 11 0 R] /MediaBox[ 0 0 612 792] /Contents 4 0 R/Group<>/Tabs/S/StructParents 0>> In Summer 2019, I was the instructor for CSE 373 (Data Structures and Algorithms for Non-majors) In Summer 2018, I was the instructor for CSE 332 (Data Structures and Parallelism). View cse332-16au-FirstDayHandout.pdf from CSE 332 at University of Washington. <> University of Washington - Paul G. Allen School of Computer Science & Engineering, Box 352350 Seattle, WA 98195-2350 (206) 543-1695 voice, (206) 543-2969 FAX, UW Privacy Policy and UW Site Use Agreement. I co-led weekly sections with a class of 25-30 students and additional responsibilities included grading weekly homework assignments and course exams as well as weekly office hours. CSE 332: Data Structures and Parallelism Covers abstract data types and structures including dictionaries, balanced trees, hash tables, priority queues, and graphs; sorting; asymptotic analysis; fundamental graph algorithms including graph search, shortest path, and minimum spanning trees; concurrency and synchronization; and parallelism. CSE 332: Data Abstractions (taught by Ruth E. Anderson) Resources. 3 Credit Hours. stream 1 0 obj CSE 6010. You might want to start by looking at the course policies in the Syllabus . 2. Created by the Best Teachers and used by over 51,00,000 students. Data Structures & Parallelism CSE 332. endobj You will need to determine the output array and the values of range, sum, and fromLeft in the tree’s nodes. Integrate it into a data-structures course. Not available for credit for students who have … Automatic Indexing 6. We demonstrate this through careful analysis of program examples using three common functional data-structuring approaches-lists using Cons, arrays using Update (both fine-grained operators), and arrays using make-array (a “bulk” operator). CSE 332 (Data Structures and Parallelism course) group projects Sep 2016 - Dec 2016 • Coded minimax algorithm with alpha-beta pruning, both sequential and parallel algorithms, for chess bot endobj 7. It is difficult to achieve elegance, efficiency, and parallelism simultaneously in functional programs that manipulate large data structures. <> The concepts are fundamental to the field as a whole and often when applying for internships the class that recruiters will ask you about is this one. CSE 332: Data Structures and Parallelism Section 9: Graphs Solutions 0. Welcome to CSE 332 Why data structures and parallelism, the manner in which learning occurs, and a first-look at the technical foundations. x��=ko�H��?�Q�f?��H2�vvs��~�-��E"��g��UUw��Ŗ=Jy ؖH��պz�t�j~��}w��"��u��]Yͻ��>�o:��r�X6�^o�|~�"�b�)�� Y!�f��/�\�|q��ŁRd:��?~Ȃ�>,��w�}�� lecture9-AVL.pdf . Data Structures and Algorithm Analysis in Java.pdf . CSE 332: Data Abstractions (taught by Ruth E. Anderson) About. endobj 1 Kevin Lin, with thanks to many others. CSE 332: Data Abstractions (taught by Ruth E. Anderson) About. README.md . The second section introduces Viz for Eclipse (optional), which allows you to visualize your programs and aid in debugging your projects. CSE 332: Data Structures and Parallelism Winter 2017 Setting Up Your CSE 332 Environment In this document, we will provide information for setting up Eclipse for CSE 332. Choosing a partner is disabled, because these exercises are solo. 2. Recursive programming is … 625.00 C & Data Structures, 3rd Ed. Readme Releases No … CSE 332: Data Structures and Parallelism Section 9: Graphs Solutions 0. No credit if CSE 373 has … CSE 332 Data Structures and Parallelism (4) Covers abstract data types and structures including dictionaries, balanced trees, hash tables, priority queues, and graphs; sorting; asymptotic analysis; fundamental graph algorithms including graph search, shortest path, and minimum spanning trees; multithreading and parallel algorithms; P and NP complexity classes. data structures course in particular. As the Exams get closer we will post more information about them. I’m excited to meet new people and help plan amazing events next year even if it’s hybrid or online! Teach parallelism ﬁrst because it is easier and helps establish a non-sequential mindset. Information Visualization 9. View Homework Help - Homework 6 from CSE 332 at University of Washington. Text Search Algorithms 10. CSE 332: Data Abstractions Exercises (Parallelism) Directions: Submit your solutions using gitlab. The first section covers using Gitlab to access and update your project repos (required). During this CSE 332 Data Structures and Parallelism course, students will be able to cover abstract data types and structures, including the balanced trees, hash tablets, the priority quiz, dictionaries, and graphs. CSE 332: Data Structures and Algorithms (WI 20) CSE 142: Introduction to Programming I (WI 18, AU 18) ... CSE 332: Data Structures and Parallelism at University of Washington CSE 332 Data Abstractions, Winter 2014 Homework 6 Due: Wednesday, February 26 at … Favorite non-CSE activities: I’m a big foodie so I’m always looking for new places to eat. The first section covers using Gitlab to access and update your project repos (required). <>>> CSE 332: Data Structures and Parallelism Winter 2017 Setting Up Your CSE 332 Environment In this document, we will provide information for setting up Eclipse for CSE 332. CSE 332: Data Abstractions (taught by Ruth E. Anderson) Resources. Catalog Description: Covers abstract data types and structures including dictionaries, balanced trees, hash tables, priority queues, and graphs; sorting; asymptotic analysis; fundamental graph algorithms including graph search, shortest path, and minimum spanning trees; concurrency and synchronization; and parallelism. CSE 214: Data Structures. (12 pts) Parallel Prefix Simulate the parallel prefix algorithm by filling in the appropriate values in the prefix tree below. ��6��M�u��?��c��ʣ,�4E�ٹ�@�� stamped signature on a digest of the data structure (a collision resistant succinct repre-sentation of the data structure, e.g., the roothash of a Merkle tree), that is made avail-able by the source. I've been a TA for the following courses: at Washington CSE 312 Foundations of Computing II, Winter 2020, Spring 2020 CSE 431 Theory of Computation, Autumn 2019 Textbook: Data Structures and Algorithm Analysis in Java 3rd Ed., Mark Allen Weiss, Addison Wesley: 2011, ISBN: 0132576279 Errata is here. Code from the book is here. /��K�g:��8\�6�YŅ��P��g'�Գ�"\q�Rq��+a��F��nn3��d��O�,d� ��Hi=z>�z��׷?��z�X3#H�Iɋ8��\l�ܫ�hfo?�.e�.�e�:��W��D>�Bp ��_��_�p%l��^ԯ��e��gq�. Code from the book is here. Prerequisite: CSE 311. In Summer 2019, I was the instructor for CSE 373 (Data Structures and Algorithms for Non-majors) In Summer 2018, I was the instructor for CSE 332 (Data Structures and Parallelism). Message Board (Click hereto go directly to the message board.) CSE 332: Data Structures and Parallelism Winter 2021 Debugging Although debugging is not strictly a topic in CSE 332, the programs you will be writing are large enough that eﬃcient debugging will be essential. View code README.md CSE332. EduRev, the Education Revolution! CSE 332: Data Structures & Parallelism (Instructor) Autumn 2016 (UW) CSE 143: Computer Programming II (Instructor) CSE 390P: Problem Solving with Programming (Instructor) Spring 2016 (UW) CSE 311: Foundations of Computing I (Instructor) Winter 2016 (UW) CSE 332: Data Abstractions (Instructor) Computing principles, computer architecture, algorithms and data structure; software development, parallelism. 17 You can use these types with any multithreaded application code, including the Task Parallel Library and PLINQ. CSE 332: Data Structures and Parallelism Winter 2021 Setting Up Your CSE 332 Environment This document guides you through setting up IntelliJ for CSE 332 in various parts. An extension of programming methodology to data storage and manipulation on complex data sets. Not available for credit for students who have completed CSE 373. 3 0 obj 2009 318 pp 978-81-8128-497-6 BSPSPR Rs. If you run into any problems or questions when setting up or using any of these plug-ins, feel free to ask on Piazza or during oﬃce hours! CSE 332: Data Structures and Parallelism Covers abstract data types and structures including dictionaries, balanced trees, hash tables, priority queues, and graphs; sorting; asymptotic analysis; fundamental graph algorithms including graph search, shortest path, and minimum spanning trees; concurrency and synchronization; and parallelism. As a CSE 332 Teaching Assistant, I supported lecture content covering advanced data structures, algorithms, and parallelism (Java) to CSE undergraduates. Portions of the CSE332 web may be reprinted or adapted for academic nonprofit purposes, providing the source is accurately quoted and duly creditied. 4 0 obj .NET provides several types that are useful in parallel programming, including a set of concurrent collection classes, lightweight synchronization primitives, and types for lazy initialization. The CSE332 Web: © 1993-2021, Department of Computer Science and Engineering, Univerity of Washington. Data Structure 5. • Part 1: Downloading Tools