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CS302 Data Structures

CS302 Data Structures. Dr. George Bebis Spring 2012. General Information. Instructor: Dr. George Bebis Of fi ce: 235 SEM Phone: 784-6463 E-mail: bebis@cse.unr.edu Office Hours: TR 2:30pm - 3:45pm or by appointment Course Web Page: http://www.cse.unr.edu/˜bebis/CS302.

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CS302 Data Structures

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  1. CS302 Data Structures Dr. George Bebis Spring 2012

  2. General Information • Instructor: Dr. George Bebis • Office: 235 SEM • Phone: 784-6463 • E-mail: bebis@cse.unr.edu • Office Hours: TR 2:30pm - 3:45pm or by appointment • Course Web Page: http://www.cse.unr.edu/˜bebis/CS302

  3. General Information (cont’d) • Assistant: Emily Hand • Office: 314 LME (Computer Vision Lab) • E-mail: e.hand@live.com • Office Hours: Wednesday 4:00pm – 6:00pm Friday, 1:00pm – 4:00pm.

  4. Prerequisites • C or above in CS202 • If you do not meet the prerequisite requirements for this course, you should see me immediately.

  5. Texts • Required • C++ Plus Data Structures by N. Dale, Jones and Bartlett Publishers, 4th edition, 2007. • Optional • Data Structures with C++ by W.Ford and W.Topp, Prentice Hall. • Data Structures and Program Design in C++ by R.Kruse and A. Ryba, Prentice Hall. • Data Structures and Other Objects Using C++ by M.Main and W.Savitch, Addison-Wesley.

  6. Course Objectives • Introduce you to fundamental and advanced data structures. • Discuss different implementations and analyze algorithm efficiency in terms of time and memory. • Expose you to the field of image processing where data structures could be used to efficiently solve many practical problems. AlgorithmAnalysis

  7. Course Outline (tentative) • C++ Review • Call by value/reference • Dynamic Array Allocation • Constructors/Destructors/Copy-constructors • Operator Overloading Study for next time!

  8. Course Outline (tentative) • Introduction to Image Processing and Computer Vision • What are IP and CV? • Relation to other fields • Challenge • Image Representation • Applications

  9. Course Outline (tentative) • Analysis of Algorithms • Predict how running time increases as the size of the problem increases. • Should be independent of machine, programming style. • Best/Average/Worst

  10. TOP OF THE STACK Course Outline (tentative) • Stacks • array-based • linked-list-based

  11. Course Outline (tentative) • array-based • Queues • linked-list-based

  12. Course Outline (tentative) • Unsorted Lists • array-based • Sorted Lists • array-based • Binary search: very efficient search when using arrays!

  13. Course Outline (tentative) • Unsorted Lists • linked-list-based • Sorted Lists • linked-list-based

  14. Course Outline (tentative) • Recursion

  15. 5 Course Outline (tentative) • Binary Search Trees • Very efficient for searching! • Heaps • Very efficient for implementing priority queues

  16. Course Outline (tentative) • Graphs (i.e., array-based an linked-list-based) • Searching (i.e., DFS and BFS) • Shortest Paths (i.e., Dijkstra’s and Bellman-Ford algorithms)

  17. Course Outline (tentative) • Sorting • Selection Sort, Bubble Sort, Insertion Sort (slow but easy to understand) • Heapsort, Mergesort, Quicksort (fast but more complicated) • Linear Time Sorts (under assumptions) 6 10 12 24 36 36 24 10 6 12

  18. Course Outline (tentative) • Advanced Data Structures for Searching • Exact Query, Range Query, Nearest Neighbor Query • Multi-dimensional keys • kD Trees • Range Trees

  19. Course Outline (tentative) • Advanced Data Structures for Searching • Exact Query, Range Query, Nearest Neighbor Query • Multi-dimensional keys h • Hashing kh(k)

  20. Exams and Assignments • Two exams (midterm, final) • Final will be comprehensive. • 6-7 Quizzes • Will be announced in advance. • 4-5 Programming assignments • Will be done in teams of two students/team • Homework will be assigned but not graded • Solutions will be posted on the web • Study homework for quizzes and exams

  21. Grading • Midterm: ~ 25% • Final: ~ 25% • Quizzes~ 20% • Programming assignments: ~ 30% A 90 and above B 80-89 C 70-79 D 60-69 F<59

  22. Programming Language/Environment • We will be using C++ • Either Windows or Unix/Linux

  23. Course Policies • Lecture slides, assignments, and other useful information will be posted on the web. • If you miss a class, you are responsible for all material covered or assigned in class. • A missed quiz/exam may be made up only if it was missed due to an extreme emergency.

  24. Course Policies • Both team members are expected to fully understand the structure of the code and the implemented algorithms. • Discussion of the programming assignments is allowed and encouraged. • However, team members are expected to do their own work. Assignments which are too similar will receive a zero.

  25. Course Policies (cont’d) • No late programming assignments willbe accepted unless there is an extreme emergency. • No incomplete grades (INC) will be given in this course

  26. Extra Credit • Class participation is highly encouraged and will be rewarded with extra credit. • Additional extra credit will be offered to the students who attend the departmental colloquia. • You will be reminded in class about upcoming talks but you should also check the colloquia page on a regular basis http://www.cse.unr.edu/get-involved/colloquia/

  27. Academic Dishonesty • Your continued enrollment in this course implies that you have read the section on Academic Dishonesty found in the UNR Student Handbook and that you subscribe to the principlesstated therein. http://www.unr.edu/stsv/acdispol.html Remember: I can Google too (and I have the copies of everybody’s assignments from the last four years this class was offered)

  28. Disability Statement • Any student with a disability needing academic accommodations is requested to speak with me or contact the Disability Resource Center (Thompson Building, Suite 101), as soon as possible to arrange for appropriate accommodations.

  29. Unauthorized class audio recording or video-taping • Surreptitious or covert video-taping of class or unauthorized audio recording of class is prohibited by law and by Board of Regents policy.  • This class may be videotaped or audio recorded only with the written permission of the instructor.   • In order to accommodate students with disabilities, some students may have been given permission to record class lectures and discussions.  • Therefore, students shouldunderstand that their comments during class may be recorded. 

  30. Important Dates • March 15, 2012 – Midterm exam • March 23, 2012 – Final Day to Drop Classes • March 17-25, 2012 – Spring Break (no classes) • May 9, 2012 – Prep Day • May 10, 2012 - Final exam (12:30pm – 2:30pm)

  31. Questions?

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