Spring 2023 - CMPT 225 D100
Data Structures and Programming (3)
Class Number: 6514
Delivery Method: In Person
Course Times + Location:
We 11:30 AM – 12:20 PM
SWH 10081, Burnaby
Fr 10:30 AM – 12:20 PM
SWH 10081, Burnaby
Exam Times + Location:
Apr 18, 2023
8:30 AM – 11:30 AM
RCB IMAGTH, Burnaby
Prerequisites:(MACM 101 and (CMPT 125, CMPT 129 or CMPT 135)) or (ENSC 251 and ENSC 252), all with a minimum grade of C-.
Introduction to a variety of practical and important data structures and methods for implementation and for experimental and analytical evaluation. Topics include: stacks, queues and lists; search trees; hash tables and algorithms; efficient sorting; object-oriented programming; time and space efficiency analysis; and experimental evaluation. Quantitative.
The course will cover the ofllowing topics (possibly in different order)
- Object-oriented programming in Java
- Abstract data types (ADTs)
- Data structures:
- lists, stacks, queues, sets
- trees, binary trees, binary search trees, self balancing trees
- priority queues, heaps
- hash tables
- disk-bound data
- searching and sorting
- graph traversing
- recursion, divide and conquer
- Time and space efficiency of algorithms. Big-O notation and the Master Theorem
Topics might slightly vary.
Grades for this course may be based on: programming assignments, midterm exam, final exam, and a final project.
The exact details of the marking scheme will be given in the first week of the course.
Students must attain an overall passing grade on the weighted average of exams in the course in order to obtain a clear pass (C- or better).
MATERIALS + SUPPLIES:
Recommended reading (not required)
- Introduction to Algorithms, Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein.
- Algorithms, Robert Sedgewick and Kevin Wayne.
- Object-Oriented Data Structures Using Java, Nell Dale, Daniel T. Joyce, Chip Weems.
- Effective Java, Joshua Bloch.
REQUIRED READING NOTES:
Your personalized Course Material list, including digital and physical textbooks, are available through the SFU Bookstore website by simply entering your Computing ID at: shop.sfu.ca/course-materials/my-personalized-course-materials.
ACADEMIC INTEGRITY: YOUR WORK, YOUR SUCCESS
SFU’s Academic Integrity website http://www.sfu.ca/students/academicintegrity.html is filled with information on what is meant by academic dishonesty, where you can find resources to help with your studies and the consequences of cheating. Check out the site for more information and videos that help explain the issues in plain English.
Each student is responsible for his or her conduct as it affects the university community. Academic dishonesty, in whatever form, is ultimately destructive of the values of the university. Furthermore, it is unfair and discouraging to the majority of students who pursue their studies honestly. Scholarly integrity is required of all members of the university. http://www.sfu.ca/policies/gazette/student/s10-01.html