Programme/Approved Electives for 2022/23
None
Available as a Free Standing Elective
No
Though much authentic scientific research takes place in the lab and field, other types of scientific research exist also. For example, systematic reviews, bioinformatics and pedagogic studies (research into how we learn).Within this module you will explore the different forms of scientific experimental design that you may encounter in your final year experimental projects and onwards into the postgraduate study. You will learn more about scientific data analysis, how to correctly undertake a range of statistical tests and draw conclusions from them that make sense in the context of the biological research. You will complete two assessments, one a group task where you will present at an online conference a critical appraisal of a paper you have selected from a suitable range. The second assessment is a completion of a series questions about a given dataset. By the time you have successfully completed this module you will be well-prepared for your final year research projects.
Aims
To train students in research and analytical skills that are relevant to a wide range of life science disciplines and are transferable to many professional and vocational careers.
Talis Aspire Reading ListAny reading lists will be provided by the start of the course.http://lists.lib.keele.ac.uk/modules/lsc-20056/lists
Intended Learning Outcomes
Compare and contrast various forms of scientific research: 1,2,3Use appropriate software to undertake descriptive and inferential statistical analyses of biological data and interpret the results in a statistical and biological context: 2,3Work effectively in a group to communicate a critical appraisal of a selected piece of scientific research: 1
Asynchronous online content (screencasts, sways, quizzes) 22 hoursIn-person support sessions in computer lab 8 hoursOnline conference presentation/attendance 4 hours Group presentation preparation and planning 12 hoursStatistics report assessment 16 hoursIndependent study 88 hours
Description of Module Assessment
1: Group Presentation weighted 25%Group presentation at online conferenceStudents will be presented with a range of scientific papers relevant to their programmes, they will select a single paper of interest and then be allocated to a group (max 4), who have all selected the same paper. The group will then prepare a 10-minute presentation which discusses the hypotheses of the research, any ethical issues raised and evaluates the chosen data analysis. Group presentations will take place at an online (Teams) conference. Group marks will be determined as follows: 50% of the mark is from the staff assessor 50% taken from the mean of all peer assessment (marks that are outside 10% of the staff assessor¿s mark will be discounted).
Individual marks will be the same as the group mark, any student who has not attended the presentation or contributed to the preparation of the presentation will score zero.
2: Computer Task weighted 40%Statistical analysis of a large datasetThe students will be given a set of data which they will analyse and present in appropriate tabular/graphical form. They will manipulate it using appropriate software packages and draw appropriate conclusions. They will then answer a series of detailed questions about statistical analysis of this dataset via the KLE.
3: Computer Task weighted 35%Analysis and evaluation of statistical outputsThe students will be given various datasets about which they will be asked a series of questions via the KLE.