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16 October 2025 | Story Lacea Loader

The University of the Free State (UFS) Executive Committee (Exco), Institutional Representative Council (ISRC), and Campus Student Representative Councils (CSRCs) of the three campuses met on 15 October 2025 and reached an agreement regarding the implementation of the phasing out of provisional registration. 
The discussions were held in light of the decision made by the UFS Council on 26 September 2025 to phase out the provisional registration – a decision that led to the recent protest actions on the three campuses the past week. 

In a spirit of working towards a fairer, more equitable, and sustainable financial support system for all academically deserving students, Exco and the student leadership agreed that provisional registration will be phased out over a period of two years (2026-2027). This phased approach allows the university time to assess the risks students are facing with a view to assisting students. This means that from 1 January 2026, all students will be on a fully registered system. 

In recognition of the challenges students face, the outcomes of the meeting reflect the university’s ongoing commitment, and it ensures that all students are supported within a financially sustainable framework. It also reaffirms the university’s commitment to expanding access through enhanced financial support while sustaining the UFS as a national asset for future generations. 

The Exco remains committed to ongoing engagement with student leadership through open dialogue that reflects the university’s values, appreciates the constructive approach taken by the student leadership, and remains dedicated to working collaboratively in the best interest of all students and the broader university community.

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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