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DCT2023 Data Structures and File Processing

DCT2023 Data Structures and File Processing. Spring 2009. Lectures. LECTURE: SURIATI JAMALLUDIN Lectures: L22: SUNDAY 2h-0900 UNTIL 1100 LP2: TUESDAY 3h-1400 until 1700 Web site: Lecture notes and tutorial material Assignments, test cases and solutions

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DCT2023 Data Structures and File Processing

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  1. DCT2023 Data Structures and File Processing Spring 2009

  2. Lectures • LECTURE: SURIATI JAMALLUDIN • Lectures: • L22: SUNDAY 2h-0900 UNTIL 1100 • LP2: TUESDAY 3h-1400 until 1700 • Web site: • Lecture notes and tutorial material • Assignments, test cases and solutions • Download course material before class

  3. Textbook • Data Structures and Algorithm Analysis in C++, Mark Allen Weiss - Latest version = 3rd Edition - Source codes are available online - Available at library for 2-hour loan

  4. Grading Scheme • Grading is based on • Written Assignments (2*5%=10%) • Programming Assignments (3*10%=30%) • Midterm Examination (25%) • Final Examination (35%)

  5. Plagiarism Policy • 1st Time: both get 0 • 2nd Time: need to terminate • Midterm or Final: an automatic FAIL You are encouraged to collaborate in study groups. But, you cannot copy or slightly change other students’ solutions or codes

  6. Course Overview • A fundamental computer science course - Essential for programming - Essential for advanced courses, e.g. 271 • A challenging course, which needs - Programming - Mathematical and logic thinking

  7. Course Prerequisite • COMP103 or COMP104 • Need to know C and C++ • Visual Studio or other PC programming environment • Good programming skills • Translate pseudo-codes into codes • Speedy review in the 1st week • COMP151 • Not essential • Highly recommended to be taken concurrently • Basic mathematical skills • Solving recursive equations, manipulation of symbols, etc. • Computer architecture • Pointers, storage, memory access, etc.

  8. Course Outline • C++ review • Lists, stacks, and queues • Algorithmic asymptotic analysis • Big-Oh, big-Theta, and big-Gamma • Sorting • Insertion, radix, mergesort, quicksort, heapsort, etc. • Lowest bound on sorting • Search trees • Binary search tree • AVL tree • B+ tree • Graphs • Breadth-first search • Depth-first search • Hashing

  9. Overall Goal of the Course • From programmer to architect • Learn to solve problems • Algorithms and Programming go hand in hand • Learn to analyze your solutions

  10. Lecture Format • Lectures: • Slides are available before class • It is important to attend the lectures (because not all material and concepts are covered in slides) • If you miss any lectures, learn from your friends • Tutorials • Supplement the lectures • Some important exercises • Welcome to attend other tutorials if you miss the your signed session • Programming and homework assignments • More rigorous problems to consolidate your knowledge

  11. Assignments • Written assignments • Due by time specified • Contact TAs directly for re-grades • Re-grade requests will only be entertained within 1 week after the homework are handed back • Late policy: 20% reduction, allows only one day late. • Programming assignments • Due by time specified • Run on PC • Submit it using CASS • Re-grade policy will be announced • Late policy : 20% reduction, allows only one day late.

  12. Midterm and Final Examinations • Midterm: Thur, April, 12th 2007, 7-9:30pm (LTA, LTB) • Final: TBA • Closed-book, closed-notes • No make-ups will be given • Unless under very unusual circumstances, with letters of proof • Instructor informed beforehand

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