Fundamentals of Experimental Design and Data Analysis BIOL5466
- Academic Session: 2025-26
- School: MVLS College Services
- Credits: 10
- Level: Level 5 (SCQF level 11)
- Typically Offered: Semester 2
- Available to Visiting Students: No
- Collaborative Online International Learning: No
- Curriculum For Life: No
Short Description
This course will provide students with theoretical concepts related to hypothesis formulation, experimental design and data analysis. This course will train students in the fundamentals of scientific research and will prepare them for their Research Project and for work in a research lab.
Timetable
Teaching will take place over 4 weeks in semester 2 and will consist of lectures and tutorials of 1-2 hr(s) duration during the first 2 weeks of the course. The last 2 weeks of the course will be used for independent learning and preparation for the assessments.
Requirements of Entry
None
Excluded Courses
None
Co-requisites
None
Assessment
1. 30% - Short written entry detailing the students' research questions and hypotheses (600 words) (ILO 1)
2. 70% - Oral presentation of a short research proposal (presentation time: 10 mins; Q&A: 5 mins) (ILOs 1-3)
Course Aims
This course aims to:
1. To provide students with the tools to develop a research question based on a critical analysis of the literature and formulate hypotheses containing testable predictions.
2. To train students in designing appropriate experiments to test their hypotheses.
3. To provide students with knowledge and understanding of fundamental statistical concepts of "Power calculation" and basic statistical analyses.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
1. Critically evaluate scientific literature to generate research questions and associated hypotheses to be tested.
2. Critically appraise the advantages and limitations of published experimental designs and methods of data analyses.
3. Apply recognised principles of experimental design to create appropriate plans for experimental and data analyses.
Minimum Requirement for Award of Credits
Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.