
Course Dates
Course details
Tutors
Course details
Tutors
Course details
Tutors
Course details
Tutors
Key Features
Aims of the course
- To provide participants with a solid understanding of the basics of evolutionary biology, such that they can explain where new traits come from and how they spread.
- To help participants understand how cost-benefit optimality modelling can be used to understand why certain traits do or do not evolve.
- To show participants how evolutionary biology can be applied to solve real-world problems.
Target audience
Anyone interested in science generally, and those interested in evolutionary biology in particular. No previous study of the subject is required.
Welcome week (Week 0)
Purpose:
- personal introductions
- introducing the course
- useful reading
- personal objectives
Learning outcomes:
By studying this week, the students should have:
- become familiar with navigating around the Virtual Learning Environment (VLE) and from VLE to links and back
- test your ability to access files and the web conferencing software and sort out any problems with the help of the Technology Enhanced Learning team
- learn how to look for, assess and reference internet resources
- contribute to a discussion forum to introduce yourself to other students and discuss why you are interested in the course and what you hope to get out of your studies
Teaching Week 1: The origin of new traits
Purpose:
This week will introduce the terms genes, proteins and phenotypes to students, explaining how genes code for proteins and proteins build phenotypes. We will then introduce the concept of mutations generating new alleles, look at how mutations occur and explore the different possible consequences for mutation on the phenotype.
Learning outcomes:
- to gain the ability to explain the relationship between genes and phenotype
- to identify mutation as the source of all new traits in biology
Teaching Week 2: The spread of new traits
Purpose:
In this week, we will be introduced to the different modes of selection that can operate in natural populations and how can it affect fitness. We will look at positive and negative selection (one allele is better/worse than the rest) first. Then we will look at the mystery of why sometimes multiple alleles are maintained in populations, with sickle-cell anaemia offering a good example of balancing selection. The lecture closes by inviting students to consider whether the spread of all traits can really be explained by maximising the chance of offspring surviving, which is next week’s topic.
Learning outcomes:
- to gain the ability to explain how natural selection can cause traits to spread
- to explain the different effects of positive selection, negative selection and balancing selection
Teaching Week 3: More than just surviving
Purpose:
We have so far tried to explain the spread of traits by considering how they increase the probability of an organism surviving, just like Darwin did initially. This week, we look at two alternative explanations for why a trait might spread: sexual selection and genetic drift. When considering sexual selection, students will learn about the difference between intrasexual and intersexual selection and how these can lead to the evolution of traits that increase mating success despite reducing survival probability. We will also look at the idea of non-adaptive evolution, and how sometimes an allele can increase in frequency despite no survival or reproductive benefits. Iris colour variation in humans is discussed as an example of genetic drift
Learning outcomes:
- to understand how sexual selection can lead to traits that do not enhance an organism’s chance of survival from spreading
- to understand how genetic drift can cause non-adaptive evolution to occur
Teaching Week 4: The evolution of behaviour
Purpose:
Behavioural adaptation is the most complex and impressive form of adaptation. In this lecture, we look at how the cost-benefit framework of optimally modelling, along with the concept of trade-offs, can let us understand the evolution of animal behaviour. We will look at a worked example – how high should a crow fly? The concept of proximate and ultimate causation is also discussed here, helping students to see how why questions can be answered in biology.
Learning outcomes:
- to explain how the cost-benefit framework of optimality modelling can be used to predict which behaviours do or do not evolve
- to gain an understanding of the concept of trade-offs in evolutionary biology
Teaching Week 5: Applying evolutionary biology
Purpose:
Evolutionary biology is a fascinating science in its own right, but this final teaching week helps learners see some of the practical applications of what they have been learning about. We look at evolutionary medicine (e.g. the Old Friends hypothesis, antibiotic resistance, tumour resistance to chemotherapy) and predicting responses to climate change. We gesture towards some of the many other applications possible, from reconstructing galaxy evolution to understanding the evolution of Red Riding Hood.
Learning outcomes:
- to explain how evolutionary biology can be applied to solve real-world problems in medicine, conservation and the humanities.
Week 6: What next?
- assessment of student learning
- assessment of student satisfaction
- encouragement of further study
This course is open to everyone, and you don’t need any previous knowledge or experience of the subject to attend.
Our short courses are designed especially for adult learners who want to advance their personal or professional development. They are taught by tutors who are expert in both their subjects and in teaching students of all ages and experiences.
Please note that all teaching is in English. You should have near-native command of the English language to get the maximum benefit from the course.
Each week of an online course is roughly equivalent to 2-3 hours of classroom time. On top of this, participants should expect to spend roughly 2-3 hours of self-study time, for example, reading materials, although this will vary from person to person.
While they have a specific start and end date and will follow a weekly schedule (for example, week 1 will cover topic A, week 2 will cover topic B), our tutor-led online courses are designed to be flexible and as such would normally not require participants to be online for a specific day of the week or time of the day (although some tutors may try to schedule times where participants can be online together for web seminars, which will be recorded so that those who are unable to be online at certain times are able to access material).
Unless otherwise stated, all course material will be posted on the VLE so that they can be accessed at any time throughout the duration of the course and interaction with your tutor and fellow participants will take place through a variety of different ways which will allow for both synchronous and asynchronous learning (using discussion boards etc).
Fees
The course fee includes access to the course on our VLE, personal feedback on your work from an expert tutor, a certificate of participation (if you complete work and take part in discussions), and access to the class resources for two years after your course finishes.
Concessions
For more information, please see our concessions information page.
Alison Fordham Bursary
University of Cambridge Professional and Continuing Education is proud to offer the Alison Fordham bursary, which is awarded to students who wish to study on one of our short online courses via our VLE, reducing the fee paid by 50%. The bursary is limited to a single award for each set of online courses.
Application criteria:
- applicants should set out their personal learning motivations since priority will be given to those who are returning to learning after an extended break, or have not previously engaged with fully online learning, or are seeking to use the online short course as a bridge towards undergraduate award-bearing study
- applicants who can demonstrate financial need
For more information, please see our bursaries information page.
A certificate of participation and a digital credential will be awarded to those who contribute constructively to weekly discussions, exercises and assignments for the duration of the course.