Epidemiology of Cancer and Population Genetics
| Code | School | Level | Credits | Semesters |
| ONCG2005 | Cancer and Stem Cells | 2 | 20 | Spring UK |
- Code
- ONCG2005
- School
- Cancer and Stem Cells
- Level
- 2
- Credits
- 20
- Semesters
- Spring UK
Summary
This module considers:
• Cancer epidemiology
• Cancer incidence and morbidity in a global context
• Cancer prevention
• Public health policy
Target Students
Students studying Cancer Sciences BSc U6UCANCS (B131) and Cancer Sciences MSci U7UCANCSY (B130) and other students with the required pre-requisites including students studying Natural Sciences.
Co-requisites
Modules you must take in the same academic year, or have taken in a previous year, to enrol in this module:
Classes
- One 1-hour workshop
- One 1-hour tutorial
- One 6-hour seminar
- One 5-hour practicum
- Two 1-hour lectures each week for 5 weeks
10 lectures; Practical class (computer-based data analysis session - 5 hours); Group data analysis coursework session and student presentations (6 hours); Open office session (1 hour); Revision workshop (1 hour).
Assessment
- 20% Coursework 1: 1,000 word essay
- 10% Practical 1: Data analysis worksheet linked to the practical component
- 70% Exam 1 (1-hour): MCQ exam; 1 hour
Assessed by end of spring semester
Educational Aims
To describe the methods used to study the incidence of cancer in specific populations and areas and determine the causes and risk factors associated with cancer. To explore the global cancer burden and the regional variations in cancer incidence and cancer risk factors. To describe the methods used to address cancer prevention and the importance of public health policy in cancer prevention.Learning Outcomes
Students should be able to demonstrate a good understanding of:
Cancer incidence and risk factors
The global cancer burden
Cancer prevention programmes
The importance of public health policy in cancer prevention
Students should be able to use appropriate statistical methods to analyse cancer incidence and survival data.
Students should be able:
Communicate complex written information to a non-specialist audience
Communicate complex written information in the form of an extended essay
Demonstrate self-management in the completion of course work
Demonstrate problem solving skills and critical thinking as applied to relevant data
Show basic levels of information technology literacy
2. Professional / practical skills
Students should be able to use appropriate statistical methods to analyse cancer incidence and survival data.
3. Transferable / key skills
Students should be able:
● Communicate complex written information to a non-specialist audience
● Communicate complex written information in the form of an extended essay
● Demonstrate self-management in the completion of course work
● Demonstrate problem solving skills and critical thinking as applied to relevant data
● Show basic levels of information technology literacy