Last modified: 31 Jul 2023 11:19
This course will build on the basic programming skills acquired in the first half-session and equip the students with advanced object oriented programming knowledge, implementation of data structure and algorithms, and basic software engineering techniques. The students will be challenged with more complicated programming problems through a series of continuous assessments.
| Study Type | Undergraduate | Level | 1 |
|---|---|---|---|
| Term | Second Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Offshore | Sustained Study | No |
| Co-ordinators |
Sorry, we don't have a record of any course coordinators. |
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This course uses Python as the programming language and builds on the basic programming skills acquired in CS1022. This course aims to give students a more solid grounding in programming and further builds up the students’ confidence in developing larger and more sophisticated programs for problem solving as well as further career development.
This course includes three components: (1) object oriented programming, (2) data structure and algorithms, and (3) software engineering basics. The object oriented programming (OOP) includes an introduction of the concepts and practice of OOP, OOP in Python, Python modules, object-oriented analysis, design, and testing. The data structure and algorithms component covers fundamental data structures and their related algorithms, such as stacks, queues, linked lists, trees, maps, dictionaries, and hash tables. The software engineering basics covers design patterns, UML, versioning (git), Python programming best practice, and agile development.
The course will challenge students with a series of practical exercises and mini-projects.
Information on contact teaching time is available from the course guide.
There are no assessments for this course.
There are no assessments for this course.
| Knowledge Level | Thinking Skill | Outcome |
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