Overview
Academic contacts
Offerings
Enrolment rules
Other learning activities
Learning activities
Learning outcomes
Design and write correct and readable small programs to solve practical data processing problems;
Read, comprehend and debug computer programs;
Identify some practical limitations on computer programs, including scaling (w.r.t. time and memory) and numeric precision (rounding errors) issues;
Use programming as the primary tool for problem solving.
Assessments
Additional information
· Introduction and Computation · Iteration · String Manipulation and Approximations · Functions and Abstractions · Tuples, Lists and Aliasing · Recursion · Testing, Debugging and Assertions · Introduction to Object Oriented Programming · Python Class and Interface · Searching algorithm · Sorting Understanding Program Efficiency
Each student is expected to spend on average three hours per teaching week reading the lecture notes, books chapters and other recommended materials relevant to the topic covered in that week and spend a similar amount of time working on the laboratories for that week. In addition, each student is required to complete two assignments and sit the final examination.