Professional & Academic Development - COM00195M
Module will run
Occurrence | Teaching period |
---|---|
A | Semester 2 2025-26 |
Module aims
This module prepares students for careers in computing and academic research. The module involves a multi-pronged approach to personal and professional development by providing students an opportunity to self-identify learning needs and skill development with the support of a mentor. Students will develop the competencies required for practising within the complex framework of accountability, ethical and professional boundaries in the multi-disciplinary workplace. The module captures the following key activities:
- Planning
- Assessing/reflecting
- Professional development/self-directed training
- Communication
Module learning outcomes
During this module, students will produce a short project in which they will demonstrate, and reflect on, professional skills. By the end of the module, they will be able to::
- Demonstrate and critically reflect on their own and others' written and verbal communication styles for a broad range of professional, public and academic audiences
-
Describe and justify a project proposal that is grounded in existing academic literature and professional practice
-
Identify, describe and evaluate personal development opportunities and training needs through self-reflection and self-directed learning
Indicative assessment
Task | % of module mark |
---|---|
Essay/coursework | 100 |
Special assessment rules
None
Indicative reassessment
Task | % of module mark |
---|---|
Essay/coursework | 100 |
Module feedback
Feedback is provided throughout the sessions, and after the assessment as per normal University guidelines
Indicative reading
Key texts
- J. Zobel, Writing for Computer Science. London: Springer London, 2014. doi: 10.1007/978-1-4471-6639-9
- E. R. Tufte, The Visual Display of Quantitative Information, 2nd ed. Cheshire, Conn: Graphics Press, 2001. https://yorsearch.york.ac.uk/permalink/f/1kq3a7l/44YORK_ALMA_DS21202699750001381
- D. Huff, How to Lie with Statistics, Repr. London: Penguin, 1991. https://yorsearch.york.ac.uk/permalink/f/1kq3a7l/44YORK_ALMA_DS21190573200001381
- A. Watt, Project management, BCcampus Open Education Pressbooks, 2004
- C. Ghezzi and G. Ghezzi, Being a researcher, Springer, 2020
Other relevant links:
- The illustrated guide to a Ph.D., https://matt.might.net/articles/phd-school-in-pictures/
- A Gentle Introduction to Statistical Power and Power Analysis in Python, https://machinelearningmastery.com/statistical-power-and-power-analysis-in-python/
- Seeing through statistics, https://yorsearch.york.ac.uk/permalink/f/1d5jm03/44YORK_ALMA_DS21223399890001381
- Statistics for experimenters : design, innovation, and discovery, https://yorsearch.york.ac.uk/permalink/f/1kq3a7l/44YORK_ALMA_DS21221776990001381
- Heath, C., & Heath, D. (2008). Made to stick: Why some ideas take hold and others come unstuck. Random House