Postgraduate Programme and Module Handbook 2022-2023 (archived)
Module COMP51915: Professional Skills
Department: Computer Science
COMP51915: Professional Skills
| Type | Tied | Level | 5 | Credits | 15 | Availability | Available in 2022/23 | Module Cap | None. |
|---|
Prerequisites
- Programming skills in Python. Basic C programming skills.
Corequisites
Excluded Combination of Modules
Aims
- Provide training and revision in large-scale code development with C and usage of established pre-compiled black-box software.
- Provide training in essential subject-specific project management, collaboration techniques and version control.
- Provide training in essential wider professional skills: entrepreneurship, intellectual property, etc.
- Provide transferable skills training: communicating novel ideas in science, and reflecting on ethical issues around data as well as research in a broader sense.
Content
- C refresher training with an outlook into large-scale code usage.
- Software development and usage workshops.
- Entrepreneuership, Research Ethics (Intellectual Property, e.g.), Academic Writing, Basic Project Planning and Timetabling.
- Communicating Science, Philosophy and Ethics of Data Sciences.
Learning Outcomes
- understanding and critical reflection of legal and ethical principles underpinning the application of computational methods and data science in economical and societal context
- fundamental entrepreneurial/project management and implementation skills
- technical skills to write and deliver large-scale scientific software in C
- competent management of software projects, understanding of versioning and techniques for quality control
- mature research on industrial scale
- responsible research
- productive research
Modes of Teaching, Learning and Assessment and how these contribute to the learning outcomes of the module
Teaching Methods and Learning Hours
| Activity | Number | Frequency | Duration | Total/Hours | |
|---|---|---|---|---|---|
| Large-scale software development in C | 8 | 2 per week | 60 minutes | 8 | |
| Workshop: Agile, Collaborative and Responsible Code Development | 2 | 2 days in one week | 10 hours | 10 | |
| Workshop: Communicating Science and Research Ethics | 2 | 2 days in one week | 10 hours | 10 | |
| Workshop: Structured Innovation | 5 | 5 per week | 120 minutes | 10 | |
| Self-study (preparation and wrap-up in other weeks) | 122 |
Summative Assessment
| Component: Coursework | Component Weighting: 100% | ||
|---|---|---|---|
| Element | Length / duration | Element Weighting | Resit Opportunity |
| Programming project | Take-home exam | 25% | |
| Workshop Presentation/e-poster | 20 minutes | 25% | |
| Workshop Presentation/e-poster | 20 minutes | 25% | |
| Workshop Presentation/e-poster | 20 minutes | 25% | |
Formative Assessment:
The successful participation in professional and transferable skills training as well as the entrepeneurial training will be assessed formatively through individual and/or group presentations. Alternatively, the lecturer may ask for a short essay. They are indirectly assessed (project planning, presentation and communication skills, source code handling) with formative feedback by each individual coursework.
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University