R&P Skills II: Neuroscience (X2106)
Research and Professional Skills II: Neuroscience
Module X2106
Module details for 2023/24.
15 credits
FHEQ Level 5
Module Outline
This module is designed to develop your independent research skills and understanding of the scientific process. You will collect data using a range of laboratory techniques or simulations and apply analytical methods to address specific questions related to Neuroscience. Mini-projects using computing methods and modelling will be used to demonstrate the benefits of computer programming for performing research tasks and illustrate the scientific process through an incremental series of experiments. The Neuroscience activities in this module relate to material covered in other modules, and will equip you with skills needed to carry out research, including your final-year undergraduate project.
Module learning outcomes
Implement computing knowledge and skills, and appreciate how they can be used to improve the efficiency, reproducibility and quality of data processing and presentation relating to research tasks.
Demonstrate a methodical and logical approach to designing and analysing an incremental series of scientific experiments
Work cooperatively on scientific experiments and relate the laboratory techniques to how the techniques have contributed to our understanding of theoretical concepts taught in other modules
Prepare a lab report that demonstrates an understanding of the scientific methods and an ability to draw objective inferences from experimental results
| Type | Timing | Weighting |
|---|---|---|
| Coursework | 30.00% | |
| Coursework components. Average of best 2 coursework marks. | ||
| Test | T2 Week 9 | |
| Test | T2 Week 10 | |
| Test | T2 Week 11 | |
| Coursework | 70.00% | |
| Coursework components. Weighted as shown below. | ||
| Report | T2 Week 11 | 85.00% |
| Group written submission | T2 Week 7 | 15.00% |
Timing
Submission deadlines may vary for different types of assignment/groups of students.
Weighting
Coursework components (if listed) total 100% of the overall coursework weighting value.
| Term | Method | Duration | Week pattern |
|---|---|---|---|
| Spring Semester | Practical | 2 hours | 01010100111 |
| Spring Semester | Seminar | 3 hours | 10101001000 |
| Spring Semester | Online Lecture | 1 hour | 11010100000 |
| Spring Semester | Lecture | 1 hour | 00000010000 |
| Spring Semester | Seminar | 1 hour | 00000100000 |
How to read the week pattern
The numbers indicate the weeks of the term and how many events take place each week.
Dr Andrew Penn
Convenor, Assess convenor
/profiles/179451
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