Undergraduate Course: Evolution of Sex & Breeding Systems (ZLGY10013)
|School||School of Biological Sciences
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 10 (Year 4 Undergraduate)
||Availability||Not available to visiting students
|Summary||Why do most higher organisms reproduce sexually? Why be diploid rather than haploid? Why should there be separate sexes? Why is there recombination? How does ecology influence the breeding system? How is gender determined, and how many of each type is optimal? Such questions are amongst the most fundamental that can be asked, and are the focus of much current research in evolutionary biology. In this course, we will examine explanations for sexual reproduction and the variation in how organism approach breeding.
Entry Requirements (not applicable to Visiting Students)
|| It is RECOMMENDED that students have passed
Evolutionary and Ecological Genetics 3 (BILG09004)
||Other requirements|| Please do not enrol a student on this course without prior permission from the School of Biological Sciences. Please contact the Course Administrator in the first instance.
Course Delivery Information
|Academic year 2022/23, Not available to visiting students (SS1)
|Learning and Teaching activities (Further Info)
Lecture Hours 30,
Summative Assessment Hours 2,
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||Exam (50%) and In-course assessments (50%).
||Hours & Minutes
|Main Exam Diet S1 (December)||2:00|
On completion of this course, the student will be able to:
- Knowledge and Understanding - Understanding of the evolutionary forces that shape the ways animals reproduce and the different ways evolutionary biologists study these phenomena
- Practice: Applied Skills Knowledge and Understanding - Be able to read, understand and evaluate the primary literature on reproductive behaviour and genetics. Interpreting and presenting scientific data and analyses.
- Cognitive Skills - Be able to understand mathematic models and interpret scientific data and analyses.
- Communication ICT and numeracy - Developing writing and presenting skills, specifically how to present scientific finding to a range of different audiences (e.g.experts vs. general public).
- Autonomy Accountability and Working with others - Be able to work both independently and as part of a team on projects and assignments.
|Graduate Attributes and Skills
|Course organiser||Dr Laura Ross
Tel: (0131 6)50 5455
|Course secretary||Miss Rachel Law
Tel: (0131 6)51 3689