Statistical skills for bioscientists
| Code | School | Level | Credits | Semesters |
| BIOS1057 | Biosciences | 1 | 10 | Spring Malaysia |
- Code
- BIOS1057
- School
- Biosciences
- Level
- 1
- Credits
- 10
- Semesters
- Spring Malaysia
Summary
This module will cover data entry and analysis covers data entry and analysis using Excel, t-test, F-test, Correlation and Regression
analysis, Nonparametric tests (Chisquare test, Mann-Whitney test, Kruskal Wallis test). This module will also include the guidance
across a range of study skills required in Biosciences.
Target Students
BSc Biotechnology and BSc Nutrition. Capped module - registration by agreement with the module convener only. Students arereminded that enrolments which are not agreed by the Offering School in advance may be cancelled without notice.Conditions:- Only available for students studying BSc Hons Biotechnology and BSc Hons Nutrition.
Classes
- One 3-hour practicum each week for 6 weeks
- One 2-hour lecture each week for 6 weeks
Activities may take place every teaching week of the Semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a Semester
Assessment
- 100% Coursework: Sample data analysis using SPSS with questions (2500 words)
Assessed by end of spring semester
Educational Aims
The major aims are to provide students with a basic understanding of numerical and statistical analyses and how to handle and present data using the computing facilities. This is intended to enable students to 1) use such tools during the remainder of their degree course and 2) to take on more advanced methods in the later stages of their degree course in BiosciencesLearning Outcomes
On successful completion of this module students will be able to:
A. Knowledge and understanding– the ability to understand the relationship between the life sciences and other disciplines and forms of knowledge.
B. Intellectual Skills – the ability to summarize, critically analyse and interpret published information and data. Think independently while giving due weight to the arguments of others. Understand complex ideas and relate them to specific problems or questions. To enhance the academic and professional development of students via small group work.
C. Practical Skills – the ability to use excel and SPSS software to analyse and design appropriate experiments to gather qualitative and semi-quantitative data appropriate to your research question. Acquire substantial quantities of information systematically, analyse it effectively, and draw appropriate conclusions.
D. Transferable/key skills – the ability to articulate knowledge and understand scientific concepts. Communicate effectively in writing and by oral presentation. Organise and manage your own working time, and that of your group’s; schedule tasks and meet deadlines.
Conveners
- Dr Ajit Singh