ÃûæÂÖ±²¥

School of Life Sciences

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

TypeTimingWeighting
Coursework30.00%
Coursework components. Average of best 2 coursework marks.
TestT2 Week 9  
TestT2 Week 10  
TestT2 Week 11  
Coursework70.00%
Coursework components. Weighted as shown below.
ReportT2 Week 11 85.00%
Group written submissionT2 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.

TermMethodDurationWeek pattern
Spring SemesterPractical2 hours01010100111
Spring SemesterSeminar3 hours10101001000
Spring SemesterOnline Lecture1 hour11010100000
Spring SemesterLecture1 hour00000010000
Spring SemesterSeminar1 hour00000100000

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

Please note that the University will use all reasonable endeavours to deliver courses and modules in accordance with the descriptions set out here. However, the University keeps its courses and modules under review with the aim of enhancing quality. Some changes may therefore be made to the form or content of courses or modules shown as part of the normal process of curriculum management.

The University reserves the right to make changes to the contents or methods of delivery of, or to discontinue, merge or combine modules, if such action is reasonably considered necessary by the University. If there are not sufficient student numbers to make a module viable, the University reserves the right to cancel such a module. If the University withdraws or discontinues a module, it will use its reasonable endeavours to provide a suitable alternative module.