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    Overview

    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.

    About this paper

    Paper title Introduction to Clinical Bioinformatics
    Subject Bioinformatics
    EFTS 0.1250
    Points 15 points
    Teaching period Semester 1 (Distance learning)
    Domestic Tuition Fees ( NZD ) $1,551.63
    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

    aniruddha.chatterjee@otago.ac.nz

    Teaching staff

    Associate Professor Aniruddha Chatterjee (Convenor)

    Gregory Gimenez, Dr Peter Stockwell and Dr Euan Rodger

    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

    Timetable

    Semester 1

    Location
    Dunedin
    Teaching method
    This paper is taught through Distance Learning
    Learning management system
    Moodle
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