Desired outcomes have knowledge of the most common abstractions for data collections(e. g stacks, queues, lists, trees, maps) understand algorithmic strategies for producing efficient realizations of common data structures analyze algorithmic performance both theoretically and experimentally and recognize common trade-offs between competing strategies wisely use existing data structures and algorithms found in modern programming language libraries have experience working with concrete implementations for most foundational data structures and algorithms
Desired outcomes • have knowledge of the most common abstractions for data collections (e.g., stacks, queues, lists, trees, maps). • understand algorithmic strategies for producing efficient realizations of common data structures. • analyze algorithmic performance, both theoretically and experimentally, and recognize common trade-offs between competing strategies. • wisely use existing data structures and algorithms found in modern programming language libraries. • have experience working with concrete implementations for most foundational data structures and algorithms
http://net.pku.edu.cn/course/cs202/2016/ <>C D pku.edu. cn/course/cs202/2016/ Data Structure and Algorithm Analysis(04831420) Instructor: Hongfei va Home Basic Information I Schedule AsSIgnments Resot Announcements Please upload your photos to the rosteri PKU Teaching& Learning on Feb. 23, 2016 cs10lpku group has been created for CS101 on Sept 10, 2007. Email address: cs10lpku AT googlegroups.com
http://net.pku.edu.cn/~course/cs202/2016/
+,c I net pku.edu. cn/-course/cs 202 /2016/info. html ☆ Data Structures and algorithm analysis Instructor: Hongfei Yan I Home Basic Information I Schedule I Assignments Resource Basic information Administrative Time: 15: 10pm--18: 00pm Wednesday, Starting Feb. 24th, 2016, Wednesday Place: 2nd Classroom bldg 307 Computer practice: 15: 00pm-17: 00pm Thursday, at Computer Center 4-5chx-45/xxxxx with DN student), Starting ar. 17th, 2016, thursday CRN: 3 undergraduate hours Instructor: Hongfei Yan oofFicelstScienceBldg1714,Email:yif1029Atgnail.com ng, Office: Sci. Ist bldg 1220, Email: dzm1016397507 AT gmail con, Office hours: Fri, 18: 30-20: 30 · Group httr Recommended Textbook Data Structures and Algorithms in Python by Michael T. Goodrich and Roberto Tamassia, Mar 18, 2013 [Source code. Python Algorithms Mastering Basic Algorithms in the Python Language(2th Edition), by Hetland, Magnus Lie, Jan. 1, 2014 requisites Students should come with basic knowledge of programming
ocDwww.wiley.com/wileycda/wileyTitle/productcd-ehep002510.hTml WILEY United States Home I Subjects I About Wiley I Contact Us I Help Search Keyword, Title, Home Computing Computer Science Object Technologies General Object Technologie TEKTIEOOK Data Structures Algorithms Data Structures and Algorithms in Python Michael T Goodrich Roberto Tamassia, Michael H Goldwasser March20132013 in Python For Instructors For Students escription Based on the authors market leading data structures books in Java and C++, this textbook offers a comprehensive, definitive introduction to data structures in Python by respected authors, Data Structures and Algorithms in Python is the first mainstream object-oriented book available for the Python data structures course. Designed to provide a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation. the text will maintain the same general structure as Data Structures and Algorithms in Java and Data Structures and Algorithms in C++
Prerequisites 6,c D net, pku. edu. cn/-course/cs1012015/schedule. html Introduction to Comput ing Instructor: Hongfei Yan I Home Basic Information Schedule Assignments I Resources This schedule is tentative and subject to change without noti Notes: The university calendar is here To Readi Notes 16阳ed eat cases (pptx), Introduction and Overview (ppt) IC1,2.1 23 Wed 30 Wed Programming Languages (ppt) IC2.2,4.2 0/14 Wed pot)Development Environment(ppt)Data Representation(ppt), IC.1,4.1 10/21Wed Browse Python code(pt), Basics of Python (1/2)(ppt) 10/27Wed asics of Python (1/2) assign 2 11/4 Wed rEcap(ppt), Basics of Python(2/2)(pot) 11/11Wed Recap(pot), Basics of Python(2/2)) 1/18 Wed NUO assignments 1-4(ppt), latrix (ppt) assign 5 11/25Wed Codeforces(ppt) assign 6
Prerequisites