Last modified: 31 May 2022 13:27
This course will build on the basic programming skills acquired previously and equip the students with advanced object-oriented programming knowledge, implementation of data structure and algorithms, and basic software engineering techniques. The course will build from simple exercises through to complicated programming problems.
| Study Type | Undergraduate | Level | 1 |
|---|---|---|---|
| Session | Second Sub Session | Credit Points | 20 credits (10 ECTS credits) |
| Campus | Offshore | Sustained Study | No |
| Co-ordinators |
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This course uses Python as the programming language and builds on the basic programming skills already acquired. This course aims to give students a more solid grounding in programming through extensive practice. It further builds up the students’ confidence in developing larger and more sophisticated programs for problem solving. This will contribute to further career development.
This course includes three components: (1) object-oriented programming, (2) data structure and algorithms, and (3) software engineering practices. 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 structures and algorithms component covers fundamental data structures and their related algorithms, such as stacks, queues, linked lists, trees, maps, dictionaries, and hash tables.
The course will feature both straightforward exercises and extended, challenging practical problems and mini-projects
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 30 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Mini-project based on larger programming exercises |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Create | Knowledge and understanding of software engineering tools and practices, and the ability to apply them to the analysis, evaluation and synthesis of programs. |
| Procedural | Create | Knowledge and understanding of data structures, and the ability to apply them in practice, including for analysis, evaluation and synthesis of programs. |
| Procedural | Create | Knowledge and understanding of the concepts of object-oriented programming, and the ability to apply them in practice, including for analysis, evaluation and synthesis of programs. |
| Assessment Type | Summative | Weighting | 60 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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| Assessment Type | Summative | Weighting | 10 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback |
Feedback provided in writing, with automated components |
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Create | Knowledge and understanding of the concepts of object-oriented programming, and the ability to apply them in practice, including for analysis, evaluation and synthesis of programs. |
| Procedural | Create | Knowledge and understanding of data structures, and the ability to apply them in practice, including for analysis, evaluation and synthesis of programs. |
There are no assessments for this course.
| Assessment Type | Summative | Weighting | 100 | |
|---|---|---|---|---|
| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
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| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Procedural | Create | Knowledge and understanding of the concepts of object-oriented programming, and the ability to apply them in practice, including for analysis, evaluation and synthesis of programs. |
| Procedural | Create | Knowledge and understanding of data structures, and the ability to apply them in practice, including for analysis, evaluation and synthesis of programs. |
| Procedural | Create | Knowledge and understanding of software engineering tools and practices, and the ability to apply them to the analysis, evaluation and synthesis of programs. |
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