LF407-30 MBio Skills Module for in-house students
Introductory description
This module contains the skills for MBio in-house students. These skills are essential for a career in science.
Module aims
Demonstration of skills acquisition
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
Students will have a one week lab which will teach them how experiments are planned over a longer time scale than the usual undergraduate lab and familiarise them with good record keeping and working practices in the lab building on what they already know from previous years.
Students will write a proposal for the projects which will require understanding the background and wide context to the project aims and objectives of their projects and what they are going to do to address these aims.
Students will read and critically appraise journal papers in journal clubs
Students will learn data handling and IT skills that are required for research
Learning outcomes
By the end of the module, students should be able to:
- Students will appraise data handling and techniques used in science
- Students will learn design and present research projects
- Students will learn to critically assess research papers
Subject specific skills
Students will gain scientific knowledge related to their chosen projects and assessments.
Transferable skills
Critical thinking: Required for appraisal of literate and data analysis
Information literacy: Finding and assessing literature for assessments
Digital literature: Use of appropriate software int he lab and data analysis sessions
Communication: Research proposal requires writing for different audiences. journal clubs require oral presentation
Team working: Working in pairs or small groups in the lab
Problem solving: Required for data analysis
Study time
Type | Required |
---|---|
Lectures | 1 session of 1 hour (0%) |
Seminars | 3 sessions of 2 hours (2%) |
Tutorials | 4 sessions of 4 hours (5%) |
Practical classes | 5 sessions of 7 hours (12%) |
Private study | 242 hours (81%) |
Total | 300 hours |
Private study description
Research into the background to the different parts of their assignments. Time spent on data analysis for the data analysis part
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group D
Weighting | Study time | Eligible for self-certification | |
---|---|---|---|
Data analysis report 1 | 17% | Yes (extension) | |
Data analysis report assessing content in first 2 data analysis sessions |
|||
Data analysis report 2 | 17% | Yes (extension) | |
Data analysis report assessing content in last 2 data analysis sessions |
|||
Project journal paper presentation | 4% | No | |
A presentation of a paper related to the project to the research group the student is placed in |
|||
Research proposal | 34% | Yes (extension) | |
A research proposal pro forma relating to the project the student has chosen |
|||
Journal club | 8% | No | |
A tutorial based discussion of a number of research papers with a presentation at the end |
|||
Lab Viva | 20% | No | |
A viva to assess that the students have learnt techniques and data analysis from the practical lab |
Assessment group R
Weighting | Study time | Eligible for self-certification | |
---|---|---|---|
No reassessment | 100% | No | |
Module not reassessed |
Feedback on assessment
Oral or written feedback depending on assignment
Courses
This module is Core for:
- Year 4 of ULFA-C1A2 Undergraduate Biochemistry (MBio)
- Year 4 of ULFA-C1A1 Undergraduate Biological Sciences (MBio)
- Year 4 of ULFA-C1A3 Undergraduate Biomedical Science (MBio)
- Year 4 of ULFA-B142 Undergraduate Neuroscience (MBio)