Teaching Responsibility
LJMU Schools involved in Delivery:
Pharmacy & Biomolecular Sciences
Learning Methods
Lecture
Workshop
Module Offerings
7106BTBMOL-SEP-CTY
Aims
To equip students with the necessary core skills to effectively search for information, critically appraise and analyse data, report scientific data, and communicate research findings.
Learning Outcomes
1.
Search, critically evaluate and use appropriate scientific literature relevant to a research project
2.
Critically analyse and appraise experimental data and write a clear and concise report using these results.
3.
Use programming tools and statistics to organise and analyse data
4.
Communicate scientific information in a contextual manner
Module Content
Outline Syllabus:Overview of the scientific method.
Designing a research project.
Literature searching, referencing, and reviewing.
Project planning, methodology design, and good laboratory practice.
Data Analysis: Understanding of the purpose of data analysis; recognise the appropriate statistical analysis tools for different data sets; use R to perform analyses on data, interpret, report and use graphical tools to present data.
Reporting scientific finding, publishing and protecting intellectual property.
Module Overview:
The aim of this module is to equip you with the necessary skills to effectively search for information, critically appraise and analyse data, report scientific data and communicate research findings.
The aim of this module is to equip you with the necessary skills to effectively search for information, critically appraise and analyse data, report scientific data and communicate research findings.
Additional Information:The workshops in this module are based upon the work undertaken by scientists working in the biotechnology industry sector and those pursuing research career in the life sciences. They will give the student the necessary skills and experience to meet the workplace needs of biotechnology industries. They have been developed in consultation with employers of biotechnology graduates who have confirmed that the data analysis sessions are suitable and applicable to the industrial and biomedical workplace.
Inclusivity: A conscious effort will be made to elevate the contributions of scientists from underrepresented groups, incorporating their research papers into the lecture material, showing photographs of diverse researchers, exploiting the EDIpedia database and highlighting good practice.