An introduction to practical hands-on learning of computer literacy and programing skills need in the clinical environment together with the theoretical background
This paper builds on topics covered in GEHM 702 and is designed to meet the needs of clinical professionals, health scientists and researchers who want to develop knowledge and skills in the analysis and interpretation of Clinical Genomic and Epigenomic datasets.
Paper title | Introduction to Clinical Bioinformatics |
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Paper code | BINF701 |
Subject | Bioinformatics |
EFTS | 0.1250 |
Points | 15 points |
Teaching period | Not offered in 2023 (Distance learning) |
Domestic Tuition Fees (NZD) | $1,509.38 |
International Tuition Fees | Tuition Fees for international students are elsewhere on this website. |
- Eligibility
This is a postgraduate (level 8) paper. Clinical experience/prior bioinformatics experience is not required.
- Contact
- Teaching staff
- Teaching Arrangements
This Distance Learning paper is taught remotely.
- Textbooks
No compulsory text books.
- Graduate Attributes Emphasised
- Global perspective, Lifelong learning, Communication, Critical thinking, Cultural
understanding, Ethics, Environmental literacy, Information literacy, Research, Self-motivation.
View more information about Otago's graduate attributes. - Learning Outcomes
Students who successfully complete this paper will
- Acquire new skills to perform basic genomic and epigenomic data analyses that focus on health and clinical environment
- Demonstrate a critical sense relating to analytical tools used and an awareness of their advantages and limitations
- Gain critical sense on experimental design and power analysis to conduct robust and reproducible analyses
- Apply critical reflection to understanding and addressing emerging ethical, legal, social and cultural considerations as they relate to Big Data, in particular for Māori as tangata whenua