EXAMINATION – NOTIFICATIONS

October 14, 2026

Notice – Issuance of Statements and Transcripts for Graduates of the 41st Convocation

41st Convocation graduates of the Faculty of Applied Science and the Faculty of Business Studies can collect their statements and transcripts from the Examination Branch, University of Vavuniya, from 14 […]

Research Grant Outcomes

Occurrence of Acid Fly (Paederus sp.) (Coleoptera: Staphylinidae: Paederinae) in Vavuniya, Sri Lanka: A Case Study at the University Hostel Premises and Its Surroundings

Recurrent skin dermatitis cases among students residing at the hostel in University of Vavuniya were suspected to be caused by acid flies (Paederus spp.).

Towards the Gamification of Training : Investigating Hotel Employees Perceptions of Game Elements

his research project, titled “Towards the Gamification of Training: Investigating Hotel Employees’ Perceptions of Game Elements,”

★

$Performance Auditing in Sri Lanka\'s Public Sector$

Performance Auditing in Sri Lanka\'s Public Sector

The landscape of performance auditing in Sri Lanka is evolving rapidly within the public sector. Explore this research to learn how focusing on the 3Es enhances government accountability and transparency.

Event Calendar

Home » Workshop on Statistical methods & their Applications in Social Science

Workshop on Statistical methods & their Applications in Social Science

The Workshop on “Statistical methods & their Applications in Social Science” took place on 3rd March 2021. It ran from 1.00 pm to 4.00 pm at the Balakrishnan Block of Vavuniya Campus, Pambaimadu. The workshop was for the Academic staff (Permanent & Temporary) of the Faculty of Business Studies.
Mr. A. Thayaparan served as the resource person. He is a Senior Lecturer Gr. I in the Department of Economics and Management, Faculty of Business Studies, Vavuniya Campus. Participants gained more knowledge about the radar chart, canonical correlation, and the box plot graph. In addition, they learned about one-way ANOVA, two-way ANOVA, the regression model, and conjoint analysis.