Undergraduate Programme and Module Handbook 2010-2011 (archived)
Module BIOL1111: GENETICS
Department: Biological and Biomedical Sciences
BIOL1111:
GENETICS
| Type |
Open |
Level |
1 |
Credits |
20 |
Availability |
Available in 2010/11 |
Module Cap |
240 |
Location |
Durham
|
Prerequisites
- 'A' Level Biology OR Chemistry.
Corequisites
Excluded Combination of Modules
Aims
- To introduce how genes are inherited and interact in both individuals and populations.
- To show the relationship between genes and chromosomes.
- To show how genes function, are regulated and replicated in simple model systems.
- To introduce the concepts of genetic engineering and bioinformatics.
Content
- Elementary Mendelian and bacterial genetics.
- Introduction to population genetics.
- Gene structure, function and regulation.
- DNA replication in prokaryotes.
- Cell division, cell cycle and meiosis.
- Recombination, mapping and linkage.
- Introduction to genetic engineering and bioinformatics.
Learning Outcomes
- Describe and rationalize the means by which genes are inherited, function, are regulated and manipulated in simple model systems.
- Be able to produce simple genetic maps from sample data.
- Understand the processes of cell division and meiosis.
- Be able to retrieve and understand data from biological databases.
- Perform simple experiments in genetics.
- Retrieve data from databases.
- Data handling and interpretation.
Modes of Teaching, Learning and Assessment and how these contribute to
the learning outcomes of the module
- Lectures deliver core knowledge.
- Workshops and Tutorials reinforce the knowledge and understanding gained from lectures and the development of key and subject-specific skills.
- Lab work allows students to utilise the knowledge gained from lectures, and support the development of key and subject-specific skills.
- MCQs sample the broad base of knowledge.
- Essays assess key communication skills but are also used to examine a students learning of subject specific knowledge.
- Unseen exams measure knowledge and the application and interpretation of that knowledge. They also test key skills in ability to present arguments and communicate them effectively in a concise written form.
- Data handling exercises assess data handling, numeracy, critical thinking and presentation skills.
Teaching Methods and Learning Hours
| Activity |
Number |
Frequency |
Duration |
Total/Hours |
|
| Lectures |
38 |
Weekly |
2 hours p/w |
38 |
|
| Practicals |
3 |
Termly |
3 hours |
9 |
■ |
| Workshops |
1 |
|
1 hour |
1 |
■ |
| Tutorials |
2 |
1 Mich/1 Epip |
1 hour |
2 |
■ |
| Preparation & Reading |
|
|
|
150 |
|
| Total |
|
|
|
200 |
|
Summative Assessment
| Component: Examination |
Component Weighting: 60% |
| Element |
Length / duration |
Element Weighting |
Resit Opportunity |
| Unseen formal examination |
2 hours |
100% |
|
| Component: Continuous Assessment |
Component Weighting: 40% |
| Element |
Length / duration |
Element Weighting |
Resit Opportunity |
| Practical report |
|
37.5% |
|
| Practical report |
|
37.5% |
|
| MCQ Departmental Test |
|
25% |
|
Practical report.
Workshop.
■ Attendance at all activities marked with this symbol will be monitored. Students who fail to attend these activities, or to complete the summative or formative assessment specified above, will be subject to the procedures defined in the University's General Regulation V, and may be required to leave the University
