Fall 2020 - CMPT 225 D100
Data Structures and Programming (3)
Class Number: 6224
Delivery Method: In Person
Course Times + Location:
Mo 9:30 AM – 10:20 AM
REMOTE LEARNING, Burnaby
We, Fr 9:30 AM – 10:20 AM
REMOTE LEARNING, Burnaby
Prerequisites:(MACM 101 and ((CMPT 125 and 127), CMPT 129 or CMPT 135)) or (ENSC 251 and ENSC 252).
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.
This course will explore ideas of data and program organization that can help in developing elegant and efficient solutions to complex tasks. The primary topics are abstract data types (ADTs) to help manage the complexity of programs, and data structures to support efficient algorithms. We will study the specification, analysis, implementation (in C++), experimental evaluation, and application of fundamental ADTs and data structures. We will also study fundamental searching and sorting algorithms. (Lectures will be available for streaming online. Live online help time will be during scheduled lecture times, and possibly some other times. Tests will be online, so a suitable room and computer with internet access will be needed.)
- Abstract data types (abstraction, encapsulation, information hiding).
- Data structures: arrays, lists, stacks, queues, trees, heaps, sets, search trees, hash tables.
- Algorithms: searching and sorting; correctness and efficiency.
- Programming: object-oriented programming for ADT re-use; efficient implementation.
- Assignment and lab activities (30%); midterm tests (50%); final exam (20%). Details will be provided in a course outline distributed in the first week of classes, which may supersede this grading scheme. Students must attain an overall passing grade on the programming portions of assignments in order to obtain a clear pass (C- or better). 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).
Data Structures & Algorithm Analysis in C++, 4th Edition, Mark A. Weiss, Pearson, 2014, Cheaper as an EPub (ISBN 9780133859638) or the Kindle version.
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TEACHING AT SFU IN FALL 2020
Teaching at SFU in fall 2020 will be conducted primarily through remote methods. There will be in-person course components in a few exceptional cases where this is fundamental to the educational goals of the course. Such course components will be clearly identified at registration, as will course components that will be “live” (synchronous) vs. at your own pace (asynchronous). Enrollment acknowledges that remote study may entail different modes of learning, interaction with your instructor, and ways of getting feedback on your work than may be the case for in-person classes. To ensure you can access all course materials, we recommend you have access to a computer with a microphone and camera, and the internet. In some cases your instructor may use Zoom or other means requiring a camera and microphone to invigilate exams. If proctoring software will be used, this will be confirmed in the first week of class.Students with hidden or visible disabilities who believe they may need class or exam accommodations, including in the current context of remote learning, are encouraged to register with the SFU Centre for Accessible Learning (email@example.com or 778-782-3112).