By Dr Komathi Wasudawan and Dr Agnes Lim Siang SiewThe COVID-19 pandemic has forced many front-line workers, especially those in the tourism industry, to turn to other forms of employment.As one of the most impacted industries during the COVID-19 crisis …
Through the Yayasan Sarawak BP40 Bursary Scheme, Sarawakian Bumiputera students can attain a world-class Australian education at Swinburne University of Technology Sarawak Campus, with tuition fees as low as those at public universities (IPTA) in Malaysia.
Learning and Teaching Unit Name Designation Contact Location Associate Professor Dr Bibiana Lim Chiu Yiong Head, Learning and Teaching Unit Direct line: 260 704 Ext: 7704 blim@swinburne.edu.my B409-B410 Serit anak Banyan Lecturer cum MPU Coordinator Direct line: 260 852 Ext: 7852 sbanyan@swinburne.edu.my …
The Digital Technologies Seniors Program (DTSP) project team from Swinburne University of Technology Sarawak Campus had a meaningful Teacher’s Day on 16 May by organising their first physical cyber-training session on campus with 37 members of the Sarawak Gerontology and Geriatric Society (SGGS).
Blockchain is synonymous with the underlying technology that drives cryptocurrency with the likes of Bitcoin and Ethereum being promoted as a means for decentralizing both financial and monetary systems. However, the application of blockchain technology goes beyond just that of a mechanism for decentralized digital finance.
Top-achieving students who enrol in an undergraduate programme at Swinburne University of Technology Sarawak Campus could receive a 100% fee waiver through the Pro-Chancellor Excellence Full Scholarship.
Almost every working adult is trying to ‘fit-in’ into what I refer as the ‘post-pandemic life balance’. To what extent does COVID-19 impact our accounting now?
Google Scholar Scopus ORCID Biography Dr Viknesh Andiappan currently serves as an Associate Professor at the Swinburne University of Technology Sarawak Campus. Dr Andiappan is well-published and well-cited for a young researcher (over 70 publications with an h-index …
What can you infer if I tell you that the mean monthly income of 10 people in a room is RM10,000? You might conclude that these 10 people could be top level managers who fall under the T20 category in Malaysia. Fair enough, but what if I tell you that 1 out of the 10 people is earning RM90,000 per month since he is running several businesses? Well, if you do the mathematics quickly, you might arrive at a completely different conclusion with this additional clue since the mean monthly income of the remaining 9 people in the room is now RM1,111 instead of RM10,000. This is one of the common pitfalls in using summary statistics such as an arithmetic mean when you have outlier bias in a small dataset.
