Methods and Techniques 3
Module code: NS3021
Module co-ordinator: Dr Cheryl Hurkett
Computing is an ever-increasingly important component of scientific practice, as well as almost all careers. This module will give you a solid base of competence in major IT packages, as well as training in more specific scientific analysis and programming software.There are five 'strands' to this module:
Reflective practice: A series of one-to-one sessions with your Personal Tutor providing you with training and feedback on how to develop the professional skills and attitudes required to thrive in an academic, industry or other career.
Research seminars: Each year a number of external speakers will give an evening seminar and Q&A session on their interdisciplinary research in order to provide you with an insight into current cutting-edge research and allow you to converse with researchers in interdisciplinary areas.
Information literacy: This strand will support your development as a researcher through a series of sessions and online resources that address aspects of information gathering and processing with an emphasis on the transferrable nature of these skills, and how they are applicable both in an academic context and a professional one.
Employability: Preparation for your future career and help to effectively communicate the skills you have learned elsewhere in your degree.
Further skills: Support for additional skills such as exam technique, communication and information handling.
- Image processing
- Reading images in Python
- Detecting vegetation
- Genetic algorithms
- Randomness in Python
- Particle systems
- N-body simulations
- Reflective practice
- The student researcher
- Employability: interviews and assessment centres
- Video planning and post-production
- Large scale report writing
- 12 two-hour computing sessions
- 7 two-hour skills workshops
- 2 one-hour seminars
- Computing (45%)
- Skills (55%) - including deliverables and research seminar report