Department of Data Science
Home
About DS
Overview
Vision & Mission
Facts and Figures
Publication
Jobs at DS
Contact Us
People
Overview
Academic Staff
Research Professors
Overview
Global Research Assistant Professors
Research Assistant Professors
Distinguished Visiting Professors
Professor of Practice
Adjunct Professors
Affiliate Members
Honorary Professors
Lecturers
Administrative Staff
IT/ Technical Staff
PhD Students
Programmes
Overview
Postgraduate Programmes
Overview
Master of Science in Artificial Intelligence for Sciences (MSAIFS)
Master of Science in Data Science (MSDS)
PhD Programme in Data Science
Undergraduate Programmes
Overview
Department of Data Science (BDDS)
Bachelor of Science in Data Science (BSc DS)
Bachelor of Science in Data and Systems Engineering (BSc DSE)
AI, Computing, and Transformation (ACT)
Minor in Data Science
Student Enrichment
Overview
Academic Advising
Alumni Connect
Student Activities
Cultural and Language Immersion Scheme (CALIS)
Student Exchange
Outstanding Achievements
Career Development
Overview
Career Development
Internship
Overview
Internship Guidelines & Procedures
Internship Openings
Student Sharing
Graduate Opportunities
Seminars and Workshops
Research
Overview
Research Highlights
Research Labs
News & Event
Overview
News
Events
Seminars
Overview
Seminar Schedule
Gallery
Home
News & Event
News
Mathematical model verifies a correct understanding of epidemic’s severity facilitates disease control
Mathematical model verifies a correct understanding of epidemic’s severity facilitates disease control
10 Dec 2020
We use cookies to ensure you get the best experience on our website.
More Information
Confirm
