Teaching Activities

The HDSU undertakes undergraduate and postgraduate teaching related to health Data Science. Following are the teaching areas offered by the HDSU;
  • Computer and information literacy
  • Working in an online learning management system
  • Working with reference management software
  • Image and video editing
  • Research data management
  • Data visualization and analysis
  • Geographic data visualization and analysis
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Module Aim/Intended Learning Outcome:

After competing this module, the students should be able to,

  • Work in Windows 10 environment
  • Work in online environment and access online resources
  • Find evidence based information
  • Work with word processing software and develop a project report
  • Work with spreadsheet software and obtain descriptive statistics and graphs
  • Work with presentation software and develop presentations
  • Edit images and videos
  • Enter research data into data entry software
  • Work with R programming language
  • Map health data

Module Aim/Intended Learning Outcome:

After competing this module, the students should be able to,

  • Work in Windows 10 environment
  • Work in online environment and access online resources
  • Find evidence based information
  • Work with word processing software and develop a project report
  • Work with spreadsheet software and obtain descriptive statistics and graphs
  • Work with presentation software and develop presentations
  • Edit images and videos
  • Enter research data into data entry software

Module Aim/Intended Learning Outcome:

After competing this module, the students should be able to,

  • Work in Windows 10 environment
  • Work in online environment and access online resources
  • Find evidence based information
  • Work with word processing software and develop a project report
  • Work with presentation software and develop presentations

Module Aim/Intended Learning Outcome:

After competing this module, the students should be able to,

  • Work in Windows 10 environment
  • Work in online environment and access online resources
  • Find evidence based information
  • Work with word processing software and develop a project report
  • Enter research data into data entry software
  • Work with R programming language

Module Aim/Intended Learning Outcome:

After competing this module, the staff should be able to,

  • Work with computer software and hardware
  • Work in online environment and access online resources
  • Work with word processing software and develop a project report
  • Work with spreadsheet software and obtain descriptive statistics and graphs
  • Work with R programming language

Module Aim/Intended Learning Outcome:

After competing this module, the students should be able to,

  • Work in Windows 10 environment
  • Work in online environment and access online resources
  • Work with word processing software and develop a project report
  • Work with spreadsheet software and obtain descriptive statistics and graphs
  • Work with presentation software and develop presentations

This course will raise your proficiency in Introduction to Computer, Word, Excel, Access, PowerPoint Applications and Internet and email. The course is conducted by The Health Data Science Unit, Faculty of Medicine, University of Kelaniya, and a certificate will be offered to the participants who complete the course.


Batch 01

Batch 02

Batch 03

CONNECT WITH US

Health Data Science Unit
Faculty of Medicine,
University of Kelaniya,
Ragama, Sri Lanka

  • Tel :  +94 11 2955281 (Direct)

  • Tel :  +94 11 2961278 (Dr Dileepa)

  • Email:  hdsu@kln.ac.lk

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