Big Data and Biomedical Informatics

HSCI 9705NEF

Course Guide

Big Data and Biomedical Informatics

HSCI 9705NEF

Course Guide

Big Data and Biomedical Informatics

Course Start Date

N/A

Course Level

N/A

Length in Terms

N/A

Credits

N/A

Language

N/A

Fees ($) (including lab fees)

N/A

Future Terms

Quota and Schedule

Course Start Date	Course Level	Length in Terms	Credits	Language	Fees ($) (including lab fees)	Future Terms
N/A	N/A	N/A	N/A	N/A	N/A

Quota and Schedule

Course Coordinator:

Prof. Eddy Lam Kwok-fai, BA(ST); MA (UNB); PhD (HKU)

Course Developer:

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Aims

This course aims to thoroughly prepare students to address “big data” challenges in the fields of biomedicine and healthcare. It is geared towards equipping students with both the theoretical understanding of algorithms and statistics, and the practical know-how for integrative data analysis.

Contents

Big data for health
Information theory and theory as applied to informatics
Characteristics of biomedical data
Healthcare information systems
Data mining challenges for biomedical data
Healthcare datasets
Statistical model building
Risk modelling

Learning support

Lectures, tutorials, seminars and workshops

Assessment

Continuous assessment includes class engagement, in-class exercises, individual presentation and individual paper

Online requirement

Access to OLE

Equipment and Software

A computer with a word-processing software, preferably Microsoft Word, installed.

Set book(s)

To be included in the course materials