MANAGEMENT OF SCIENTIFIC RESEARCH - 2022/3
Module code: MMIM016
Module provider
School of Biosciences
Module Leader
BESTE Dany (Biosciences)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
Module cap (Maximum number of students): N/A
Overall student workload
Module Availability
Semester 1
Module content
Assessment pattern
| Assessment type | Unit of assessment | Weighting |
|---|---|---|
| Coursework | PRESENTATION | 20 |
| Coursework | POSTER | 20 |
| Coursework | ESSAY | 60 |
Alternative Assessment
N/A
Assessment Strategy
Module aims
- Facilitate effective and successful team work.
- Explain concepts of ethics, statistics and quality assurance in science.
- Augment skills required to produce well-argued written and oral work.
- Enhance student's ability to manage their own time and the time of others.
- Develop students ability to pose research questions, develop hypotheses and propose experiments to answer important questions.
Learning outcomes
| Attributes Developed | ||
| 1 | Compose effective and attractive scientific posters and oral presentations | CPT |
| 2 | Apply methods for time and people management | PT |
| 3 | Communicate scientific ideas and research through scientific posters, oral presentation and a grant proposal | CPT |
| 4 | Work efficiently and effectively in a team | PT |
| 5 | Generate testable research hypothesis | CP |
| 6 | Make an original case for a piece of novel research | C |
| 7 | Design appropriate methods to test novel hypothesis | KC |
| 8 | Reflect on the ethics of a piece of scientific research | C |
| 9 | Generalize about quality assurance | CP |
Attributes Developed
C - Cognitive/analytical
K - Subject knowledge
T - Transferable skills
P - Professional/Practical skills
Methods of Teaching / Learning
Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.
Reading list
https://readinglists.surrey.ac.uk
Upon accessing the reading list, please search for the module using the module code: MMIM016
Programmes this module appears in
| Programme | Semester | Classification | Qualifying conditions |
|---|---|---|---|
| Biomedical Science MSci (Hons) | 1 | Optional | A weighted aggregate mark of 50% is required to pass the module |
Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2022/3 academic year.