Undergraduate Course: Quantification in the Life Sciences 1 (BILG08008)
|School||School of Biological Sciences
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 8 (Year 1 Undergraduate)
||Availability||Available to all students
|Summary||This course is designed to apply selected topics in physics and mathematics (including some basic statistical analysis) to an understanding of biological issues. The physics lectures are linked with lectures in biology to illustrate key concepts: probing biological structures - the tools and techniques; perceiving the world - energy and wavelength; biomechanics - strengths of biological materials; diffusion and its limitations; mechanics of movement - dynamics, shape, statics, levers, force; plumbing and pumps - capillary, surface tension, xylem and blood flow; membranes, energetics and nerves. Laboratory practicals and workshops are used to reinforce the biological topics. The important quantitative skills required in biology are delivered through a workbook, associated tutorials and acquisition of data in laboratory practicals.
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| None
Information for Visiting Students
|High Demand Course?
Course Delivery Information
|Academic year 2015/16, Available to all students (SV1)
|Learning and Teaching activities (Further Info)
Lecture Hours 22,
Seminar/Tutorial Hours 10,
Supervised Practical/Workshop/Studio Hours 6,
Feedback/Feedforward Hours 1,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 4,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||Several in-course assessed components. 40% ICA, 60% exam.
||Hours & Minutes
|Main Exam Diet S1 (December)||Quantification in the Life Sciences 1||2:00|
|Resit Exam Diet (August)||Paper 1||2:00|
On completion of this course, the student will be able to:
- Increased understanding of the quantitative aspects of biological processes.
- Enhanced ability to analyse, interpret and report the data from biological experiments.
- Master some of the fundamental and important mathematical concepts applicable to biology.
- Understand the importance of computer programming and its relevance to the Life Sciences, and learn to write a simple program.
|Graduate Attributes and Skills
|Additional Class Delivery Information
||Laboratory Practicals are Tuesday OR Thursday dependent on group allocation.
Compulsory computing workshops week 1, Tues, Wed, Thurs or Fri.
Quils tutorials cover Maths and Physics and run week 2 (Mon-Fri) and then alternate weeks from weeks 3-10. times vary
|Course organiser||Dr Ramon Grima
|Course secretary||Mr Edward Lithgow
Tel: (0131 6)50 8638
© Copyright 2015 The University of Edinburgh - 18 January 2016 3:30 am