Course Description
Course Name
Computer Science 1015
Session: VCPF3125
Hours & Credits
18 Host University Units
Prerequisites & Language Level
At least 70% for NSC Mathematics Students registered for this course will be assessed in week 5; if it is judged that they are not coping with the level and pace of the course, and would benefit from an opportunity to strengthen foundational concepts and learn new material at a slower pace, they will be required to transfer to CSC1010H from week 7.
Taught In English
- There is no language prerequisite for courses at this language level.
Overview
This course is an introduction to problem solving, algorithm development and programming in the Python language. It includes fundamental programming constructs and abstractions, sorting and searching techniques, and machine representations of data. The practical component covers input/output, conditionals, loops, strings, functions, arrays, lists, dictionaries, recursion, text files and exceptions in Python. Students are taught testing and debugging, as well as sorting and searching algorithms, algorithm complexity and equivalence classes. Number systems, binary arithmetic, boolean algebra and logic gates are also introduced.
DP requirements: Minimum of 45% aggregate in practical work.
Assessment: Theory tests count 15%; practical tests and practical assignments count 25%; one 2-hour paper wr
itten in June counts 60%. Subminima: 45% for practicals, 45% on weighted average of theory tests and examination.
*Course content subject to change