Data Structures Lab Manual For Diploma Course
CS 61B: Data Structures - Shewchuk - UC Berkeley CS 61B Data Structures jrs@cory.eecs (But ask most questions on the and send most private requests to cs61b@cory.eecs so the TAs can respond too.) Spring 2014 Mondays 1–2 pm and Wednesdays noon–2 pm Wheeler Hall Auditorium Here are some. Here are the. Please congratulate Jianqiao Yang, Chengming Liao, and Junyan Kang, who as the team ChaoWeiLanMao slaughtered the opposition and drank the blood of their enemies in the They win gift certificates to Amoeba Records. The Final Exam will take place Tuesday, May 13 at 8:00 am in 100 Haas Pavilion. Students in the Disabled Students' Program who requested extra time will receive alternative locations by email. The exam is open book, open notes, and closed electronics: if we catch you with electronic devices such as cell phones, laptops, or iPods on your person, you will get zero on the exam.
Java Data Structures Course
Leave them at the front of the room. If your cell phone rings at the front of the room, you lose a point. Please keep your notes under your seat so people passing in front of you don't trip over them.
The TAs will hold a review session for the Final Exam this Saturday, May 10 at 2–5 pm in 2050 Valley Life Sciences Building. Textbooks. Required: and, O'Reilly, 2005. ISBN # 0-596-00920-8. (Either the first or second edition will do.). Optional: and, John Wiley & Sons, 2010.
ISBN # 0-470-38326-7. (The first, third, fourth, fifth, or sixth editions will do, but the second edition is missing several important data structures.).
Warning: The reading assignments given below apply to the second edition of Sierra & Bates, and the fifth edition of Goodrich & Tamassia. If you have older editions, you'll have to figure out the corresponding readings yourself. Information. Access the CS 61B. Online version of the, plus extra documentation on Java and Gmake. The Java 2 standard libraries API:, (maintained by ). (maintained by ).
Get, International Honor Society for the Computer Sciences. Information on. Includes sample solutions to midterms in the reader. Lectures The following schedule is tentative.
There may be changes as the semester progresses, so check here periodically. You are responsible for knowing and keeping up with the readings listed below; there won't be reminders in class. Labs, homeworks, and projects that are currently available can be accessed by clicking on them. Webcasts and podcasts of past lectures are offered by Berkeley's Educational Technology Services through their. Click on the icons in the schedule below to view past lectures.
Lectures are not broadcast live, but they should be available within a day or two after they happen. Some lecture notes can be obtained by clicking on the lecture titles (for ASCII) or the PostScript or PDF links (which save paper). Please understand that they are lecture notes, and that they were written so that I would have something to say in class. I write them for me, not you, and I make them available as a courtesy to you.
I edit them after class to make sure they say the same thing I said in class. If I receive complaints that my lectures and lecture notes do not differ, I will stop making lecture notes available. For related reasons, I will not make the lecture notes for a class available until after the class has taken place. Topic Reading Due 1: January 22 Sierra & Bates, pp. 1–9, 18–19, 84.
2: January 22 S & B, Chapter 2; pp. 54–58, 154–160, 661, 669.
3: January 27 S & B, pp. 71–74, 76, 85, 240–249, 273–281, 308–309. 4: January 29 S & B, pp. 10–14, 49–53, 75, 78–79, 86, 117, 286–287, 292, 660 5: January 29 S & B, pp. 59–62, 83, 114–116, 293–300, 670. 6: February 3 S & B, pp.
7: February 5 Goodrich & Tamassia, Section 3.2 8: February 5 G & T, Section 3.3. 9: February 10 Sierra & Bates, pp. 77, 235–239, 258–265, 663. 10: February 12 S & B, Chapter 7; pp. 28–33, 250–257 11: February 12 S & B, pp.
February 14. February 17 President's Day. 12: February 19 S & B, Chapter 8. 13: February 19 S & B, pp. 154–160, 587–591, 667–668. February 21. February 22.
14: February 24 covers Lectures 1–12. 15: February 26 S & B, pp.
315–338 16: February 26 S & B, pp. February 28. 17: March 3 Game Trees. 18: March 5 S & B, pp. 80–84 19: March 5 S & B, p. 20: March 10 Goodrich & Tamassia, Chapter 4. 21: March 12 G & T, Sections 9.1, 9.2, 9.5–9.5.1.
22: March 12 G & T, Chapter 5. 23: March 17 G & T, Chapter 4. 24: March 19 G & T, Chapter 7 25: March 19 G & T, Sections 8.1–8.3.
March 24–28 Spring Recess 26: March 31 G & T, Section 10.1. 27: April 2 G & T, Section 10.4 28: April 2 G & T, Sections 13.1–13.3. 29: April 7 G & T, Sections 13.5.1, 13.6–13.6.1.
30: April 9 G & T, Sections 8.2.2, 8.3.5, & 11.1 31: April 9 G & T, Section 11.2. 32: April 14 covers Lectures 1–29. 33: April 16 G & T, Section 11.4 34: April 16 G & T, Section 11.3.1 & 11.5. 35: April 21 G & T, Section 11.3.2. 36: April 23 G & T, Section 10.3 37: April 23. 38: April 28. 39: April 30 G & T, Sections 14.1.2–14.1.3 40: April 30.
The will take place on Tuesday, May 13, from 8 am to 11 am in 100 Haas Pavilion. (CS 61B is in Exam Group 5.) Course Description (from the catalogue) Fundamental dynamic data structures, including linear lists, queues, trees, and other linked structures; arrays, strings, and hash tables. Storage management. Elementary principles of software engineering. Abstract data types.
Algorithms for sorting and searching. Introduction to the Java programming language. Prerequisites: CS 61A or Engineering 7.
(The catalogue says “with a grade of B– or better,” but I've never seen this rule enforced.) Grading. 5% for the. 10% for the. 35% for three. 12.5% for (Monday, February 24, 1–2 pm, Wheeler Auditorium). 12.5% for (Monday, April 14, 1–2 pm, Wheeler Auditorium). 25% for the (Tuesday, May 13, 8–11 am, 100 Haas Pavilion).
“Let's see if I remember this. Do I splay the pineapple pizza through the Ted Nugent tea cozies?
Or should I zig-zig the Versace laptops through Katy Perry first?”.
Data Structure Course Description
C Data Structures: A Laboratory Course, Third Edition exemplifies the active learning experience. With a dynamic learn-by-doing focus, this laboratory manual encourages students to explore data structures by implementing them, a process through which students discover how data structures work and how they are applied. Providing a framework that offers feedback and support, this text challenges students to exercise their creativity in both programming and analysis. Each online laboratory consists of three parts: basic implementation and testing, programming exercises, and analysis exercises, which expertly guide students through every stage and urges them to think critically about their results. Features & Benefits All worksheet pages and appendix material are available online for instructors and students to utilize and print as needed. More sophisticated use of templates is presented. Template specialization is introduced in the Expression Tree.
Default template types and template template parameters are introduced in the Heap. Lab order has been changed to be compatible with the order in most current textbooks. Each laboratory consists of three parts: basic implementation and testing, programming exercises, and analysis exercises. The basic implementation section explains the specific ADT, introduces the new C concepts, describes the ADT's properties, explains implementation details, and guides you through testing your implementation. In the three programming exercises, the first exercises is usually to apply or extend the concepts introduced in the basic implementation. The analysis exercise urges students to analyze a data structure in terms of its efficiency or use.
Laboratory Worksheets to accompany C Data Structures: A Laboratory Course, 3e ISBN-13: For your convenience, all worksheet pages are now available online. Please print each worksheet as needed. The worksheets are organized by lab beginning with “Laboratory 1: Text ADT” and ending with “Laboratory 13: Performance Evaluation.” In this new edition, In-Lab Exercises are now called “Programming Exercises” and Post-Lab Exercises are now “Analysis Exercises.” These can still be used as in-lab and post-lab exercises with a closed lab.
Data Structure And Algorithm Course
However, the new titles more accurately reflect how non-laboratory courses can benefit from using these exercises as regular weekly programming assignments. Each laboratory includes a Cover Sheet with a list of worksheets for the lab. Labs 1-12 contain worksheets for Implementation Testing, Programming Exercises, and Analysis Exercises. Measurement and Analysis Exercises replace Programming Exercises in Lab 13. Please view the Table of Contents and Preface for more information.