Causes and Consequences of Cancer
| Code | School | Level | Credits | Semesters |
| ONCG1002 | Cancer and Stem Cells | 1 | 20 | Spring UK |
- Code
- ONCG1002
- School
- Cancer and Stem Cells
- Level
- 1
- Credits
- 20
- Semesters
- Spring UK
Summary
This module considers:
• The incidence and prevalence of cancer
• Epidemiology and the causes of cancer
• Cancer diagnosis (biochemistry, molecular biology, and histopathology)
• Cancer treatment (surgery, radiotherapy, and chemotherapy)
• Care for cancer patients (palliative care and recovery)
Target Students
Students in the Faculties of Engineering, Science and Medical and Health Sciences
Classes
20 lectures (2 per week in semester 2) Statistics practical (computer based training session, statistics in epidemiology and cancer survival - 6 hours) Pathology practical (computer based training session - 6 hours) Essay writing workshop (1 hour) Post-essay feedback session (1 hour) Mock MCQ - formative (1 hour) Exam feedback session (1 hour) Revision workshop (1 hour)
Assessment
- 20% Coursework: 1,000 word essay (20%).
- 10% Project: Molecular diagnostics leaflet project (group work with a group mark) (10%).
- 70% Exam (1-hour): MCQ exam - 1 hour (70%).
Assessed by end of spring semester
Educational Aims
To understand the causes of cancer including the underlying mechanisms that result in tumour formation and the epidemiology of cancer as well as the consequences of cancer for the patient relating to cancer treatment, living with cancer, and end of life care.Learning Outcomes
Students should be able to demonstrate a good understanding of:
The incidence and prevalence of cancer
The causes of cancer and the role of statistics in epidemiology
How cancer is diagnosed
How cancer is treated
How cancer patients are cared for
Students should be able to use appropriate statistical methods to interpret cancer incidence and survival data and demonstrate a basic level understanding of the pathology.
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 coursework
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 interpret cancer incidence and survival data and demonstrate a basic level understanding of the pathology.
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