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02 July 2019 | Story Leonie Bolleurs
Edwin Skhosana
Edwin Skhosana is working hard to become a successful and competent actuary one day. With him is his lecturer, Dr Michael von Maltitz.

Edwin Skhosana, an Actuarial Sciences student, was described by his lecturer, Dr Michael von Maltitz of the Department of Mathematical Statistics and Actuarial Science, as ‘very quiet’ in his Causal Inference class. 

This may sound like a compliment, but it’s not.

For Dr Von Maltitz, being quiet is definitely not encouraged – not with the new teaching methods applied in class.

“See, my class is all about engagement – getting the students to watch videos on the topics, read about the methods in question, and then come to class to grill me about things they don’t understand. This change in teaching method is extremely disconcerting for many Mathematical students, who have up until now only been taught in the ‘memorise-regurgitate’ form they had ever since the start of high school,” he explains.

Future success


“My goal is to get the students to a level of understanding where they can sit down with me or with an expert in the field and have a conversation about the Mathematical Statistics topics that I teach. This is a very difficult task in such a technical module, and few students ever feel comfortable enough to engage with me actively in class in this way,” Dr Von Maltitz points out. 

Edwin is working hard towards applying the skills and knowledge he has obtained at university to become a successful and competent actuary one day. 

An important turning point was when it dawned on him how the things discussed in class could find an important practical application in so many fields.  

“This suddenly drove a spontaneous fascination in my mind that led me to engage with Dr Von Maltitz,” the previously quiet Edwin explains.

And everything changed.

Desperate to learn

Dr Von Maltitz explains: “Edwin came to my office to ask some questions. The incredible thing was that he sat down, and a conversation about the Mathematics, the foundations, and the methods just flowed between us. I have seldom had such an insightful chat about my module with a student. It was like a cascade of information just fell into place for Edwin.”

Although he sometimes still experiences his studies as challenging and grapples to adapt to the various styles of lecturing from different lecturers, Edwin now has hope for his class in Causal Inference. 

“I think Dr Von Maltitz’s way of presenting in class is excellent. It is, however, hard to grasp if you are still anchored in the old way of cramming, because he wants you to understand and be able to apply what he teaches,” says Edwin.

“It was just wonderfully refreshing to see someone so desperate to learn something (rather than just wanting to get a degree), and then actually managing to turn around a bad semester mark into such a river of understanding,” Dr Von Maltitz concludes.

Dr Michael von Maltitz
Dr Micheal von Maltitz

News Archive

Dr Abdon Atangana cements his research globally by solving fractional calculus problem
2014-12-03

 

Dr Abdon Atangana

To publish 29 papers in respected international journals – and all of that in one year – is no mean feat. Postdoctoral researcher Abdon Atangana at the Institute for Groundwater Studies at the University of the Free State (UFS) reached this mark by October 2014, shortly before his 29th birthday.

His latest paper, ‘Modelling the Advancement of the Impurities and the Melted Oxygen concentration within the Scope of Fractional Calculus’, has been accepted for publication by the International Journal of Non-Linear Mechanics.

In previously-published research he solved a problem in the field of fractional calculus by introducing a fractional derivative called ‘Beta-derivative’ and its anti-derivative called ‘Atangana-Beta integral’, thereby cementing his research in this field.

Dr Atangana, originally from Cameroon, received his PhD in Geohydrology at the UFS in 2013. His research interests include:
• the theory of fractional calculus;
• modelling real world problems with fractional order derivatives;
• applications of fractional calculus;
• analytical methods for partial differential equations;
• analytical methods for ordinary differential equations;
• numerical methods for partial and ordinary differential equations; and
• iterative methods and uncertainties modelling.

Dr Atangana says that, “Applied mathematics can be regarded as the bridge between theory and practice. The use of mathematical tools for solving real world problems is as old as creation itself. As written in the book Genesis ‘And God saw the light, that it was good; and divided the light from the darkness’, the word division appears here as the well-known method of separation of variables, this method is usually employed to solve a class of linear partial differential equations”.

“A mathematical model is a depiction of a system using mathematical concepts and language. The procedure of developing a mathematical model is termed mathematical modelling. Mathematical models are used not only in natural sciences, but also in social sciences such as economics, psychology, sociology and political sciences. These models help to explain systems and to study the effects of different components, and to make predictions about behaviours.”

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