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BSc Neuroscience with Industrial/Professional Experience / Course details
Year of entry: 2023
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Course unit details:
|Unit level||Level 2|
|Teaching period(s)||Semester 2|
|Available as a free choice unit?||No|
This Research Skills Module is designed to develop your experimental design, report writing, and practical skills. You will develop a range of skills relevant to Neuroscience and/or Cognitive Neuroscience research including electrophysiological, biochemical, and histological methods. You will work with cells, human subjects and interactive computer simulations.
|Unit title||Unit code||Requirement type||Description|
|Excitable Cells: the Foundations of Neuroscience||BIOL10832||Pre-Requisite||Compulsory|
To provide practical experience of a range of techniques and data analytical procedures relevant to current neuroscience and/or cognitive neuroscience research. The techniques will mainly be drawn from the disciplines of anatomy, pharmacology and physiology. Students will have the opportunity to work with a variety of biological preparations, from cells to whole humans, and with interactive computer simulations.
To be proficient in the use of a range of technical skills, including the application of selected electrophysiological, psychophysical, biochemical and histological methods, and to possess the abilities to find and understand information, to analyse complex data sets and to write scientific reports.
Core practicals for Neuroscience and CogNeuro:
- Human visual function - the Electroretinogram
- Operant conditioning - Virtual rat (Sniffy) behaviour
- Motor function – the electromyogram
- Human visual function - the Visually Evoked Potential
- Sheep brain dissection
- Human neuroanatomy
- Neurophysiology computer simulations
- Statistical analysis
- Neuropeptide Pathways
- Emotional arousal - galvanic skin response
- Analytical skills
- Students undertake both experimental laboratory and data analyses.
- Group/team working
- Students work in small groups (3-4) when undertaking a range of laboratory experiments and associated data analyses.
- Students are encouraged to design experiments to test specific hypotheses.
- Different members of small groups are encouraged to take the leadership role for coordinating the running of various experiments.
- Project management
- Small groups of students collaborate in the design, running and analysis of a series of laboratory experiments, allocating different tasks amongst group members.
- Oral communication
- Students are encouraged to answer questions during experimental classes.
- Problem solving
- Students undertake assessments based on solving both numerical and conceptual problems.
- The unit is based on students performing a series of laboratory research experiments to collect novel data that allow biological hypotheses to be tested.
- Written communication
- Students write a detailed report of a laboratory experiment and a series of short note answers to questions on each of 8 practical classes.
- Computer and IT skills in running and analysing laboratory experiments.
|Practical skills assessment||50%|
5x Practicals with short-note questions 10% each, Practical with closed-book MCQ: 10%, Lab Report 40%
Written comments on assessment exercises and lab reports and Feedback session with staff in lecture theatre.
|Scheduled activity hours|
|Practical classes & workshops||30|
|Independent study hours|
|Nicholas Glossop||Unit coordinator|