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Module Title
LM Foundations of Computing Practices in Health Data Science
School
School of Medical Sciences
Department
Inst of Cancer / Genomic Sci
Module Code
02 37073
Module Lead
Andreas Karwath & George Gkoutos
Level
Masters Level
Credits
20
Semester
Semester 1
Pre-requisites
Co-requisites
Restrictions
It is a requirement that students achieve a mark of at least 35% in their summative exam
Exclusions
Description
The module introduces key concepts in computing practices for managing, extracting, and analysing health data.
The module will provide students with an understanding of the computing concepts required to deal with health data and health information. That includes fundamental understanding of algorithms and data structures, programming skills using modern programming languages such as R and Python, and understanding of biomedical databases and how to query relational database systems. Students will engage with fundamental concepts for computer architectures and file systems and will gain knowledge about bash programming and command line interfaces. Students will learn about basic good programming practices including standards and conventions, program design, and version systems (GIT). Students will be introduced to modern electronic health record (EHR) systems and underlying standards, medical coding systems, and its use in primary and secondary health care. Students will come in contact with fundamental visualisation techniques required for health data analytics.
The module will enable students to appreciate the fundamentals, challenges, as well as limitations of computing approaches and value the impact of standards and good practices in health care analytics.
Learning Outcomes
By the end of the module students should be able to:
Demonstrate a critical understanding of the main computer science concepts employed in health data science
Demonstrate the ability to use, modify, and develop algorithms and computer programs required to manage data contained in health information systems
Understand, employ, and appraise good practices and standards in EHR systems, programming, and computing in general.
Apply computer-based approaches to health care data and analyse, interpret, summarise, and present their outcomes
