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2022/23 Undergraduate Module Catalogue

BMSC2342 Experimental Skills in Neuroscience

20 creditsClass Size: 75

Module manager: Professor Jim Deuchars
Email: j.deuchars@leeds.ac.uk

Taught: Semesters 1 & 2 (Sep to Jun) View Timetable

Year running 2022/23

Pre-requisite qualifications

Level 1 BMSC lab skills or equivalent

Co-requisites

BMSC2310Intermediate Skills for Professional and Academic Developmen

This module is mutually exclusive with

BMSC2341Experimental Skills in Pharmacology
BMSC2343Experimental Skills in Human Physiology
BMSC2344Experimental Skills in Medical Sciences

Module replaces

BMSC2119: Experimental Skills, 10 credits, S1BMSC2227: Experimental Skills in Neuroscience, 10 credits, S2

This module is not approved as a discovery module

Module summary

- Students will participate in various practical exercises that will focus on some key methods within biomedical sciences and neuroscience. Students will be taught the principles of experimental design and the essential statistical and mathematical methods necessary for completion of the experiments and projects.- In semester 2, students will design and perform a mini project based around neural tissue.- Students will be introduced to the methods used to:a) perform experiments with nerves or neural tissue;b) record responses and c) analyse response data in graphical form.- Transferable skills will be developed through submission of practical reports, preparing and delivering oral presentations & laboratory book as well as working in groups.

Objectives

On completion of this module, students should be able to:
- Use some experimental techniques relevant to modern neuroscience;
- Use scientific literature in an appropriate manner and reference published work correctly;
- The ability to design and carry out an experimental project based on a specific area of neuroscience as a member of a team;
- The synthesis of analytical data, including the use of both descriptive and analytical statistics to organize the data;
- The ability to individually present work in an extended written form and through other forms of communication which are used in the scientific community.

Learning outcomes
On completion of this module students should be able to:
1. Identify the need for and apply statistical analyses to data;
2. Locate and select scientific information to support arguments;
3. Demonstrate basic principles of the techniques used in practical classes;
4. Design and perform an experiment to answer a neuroscience-based hypothesis;
5. Present the findings in written form and through other scientific forms of communication.


Syllabus

Various practical exercises will focus on some key methods within biomedical sciences and neuroscience.
- Students will be taught the principles of experimental design and the essential statistical and mathematical methods necessary for completion of the module.
- Students will design and perform a mini project around neuroscience.
- Students will be introduced to the methods used to:
a) perform experiments with nerves or neural tissue;
b) record responses and
c) analyse response data in graphical form.
- Transferable skills will be developed through submission of practical reports, preparing and delivering oral presentations & laboratory book as well as working in groups.

Teaching methods

Delivery typeNumberLength hoursStudent hours
Lecture11.001.00
Practical47.0028.00
Seminar42.008.00
Independent online learning hours27.00
Private study hours136.00
Total Contact hours37.00
Total hours (100hr per 10 credits)200.00

Private study

Researching literature and writing practical reports.

Opportunities for Formative Feedback

Attendance at practicals and progress meeting with academic staff.

Methods of assessment


Coursework
Assessment typeNotes% of formal assessment
Presentation1 x group poster presentation10.00
Presentation1 x group slide presentation10.00
Practical Report1 x laboratory report 1 (8 page limit)30.00
Practical Report1 x laboratory report 2 (12 page limit) in the style of a scientific paper50.00
Total percentage (Assessment Coursework)100.00

Any absence from a practical class will attract a V-code. To remove the V-code the student must submit a lab report, based on data provided to them, by a given deadline. The lab report will be check marked to determine it has reached a pass standard. Feedback will not be provided.

Reading list

The reading list is available from the Library website

Last updated: 11/07/2022

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