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29 March 2019 | Story Lacea Loader

No deregistration of students at the University of the Free State (UFS) will be effected until after the Financial Appeals Committee has concluded its process on 5 April 2019.

During a meeting between the university management and the Institutional Student Representative Council (ISRC) today, the following agreement was reached:

  1. The date for the submission of appeals has been extended to Tuesday 2 April 2019 at 12:00. No further extension will be given. The application form for the Financial Appeals Committee has previously been sent to the ufs4life email addresses of all provisionally registered students.
  2. Students who have appealed their National Student Financial Aid Scheme (NSFAS) outcomes will not be deregistered while awaiting the result of the outcome of their appeal.
  3. Verified final-year students who are provisionally registered will not be deregistered. This will be subject to verification by the Financial Appeals Committee. These students must also submit an appeal.
  4. All other categories of students must submit their appeals to the Financial Appeals Committee.

NB: The documentation mentioned above must be submitted to the Student Finance Office as indicated on the financial appeals form sent to students via their ufs4life email address.

The UFS has taken a pro-poor approach to assist students who are academically deserving. With this approach, the university’s fee structure is much less than that of many public institutions of higher learning in the country. Senior students are also supported through a provisional registration process that grants them the opportunity to pay a reduced amount in order to register, enabling them to fully participate in all activities while extension is provided to secure the necessary funding for their studies.

The university has made a number of concessions to ensure that students are not financially excluded during the 2019 academic year. Many of these concessions were raised by the ISRC on behalf of students and was agreed upon by the university management.  

These concessions include:

  1. Students who have confirmed NSFAS funding for 2019 with historic debt, are to secure registration. This has taken place before the announcement on 24 March 2019 by the Minister of Higher Education and Training, Naledi Pandor, that the historic debt of NSFAS students will be settled by the department.

     

  2. Students in the missing middle who received a gap grant in 2018, have been assisted to pay a lesser amount to register fully for 2019.

     

  3. Students with historic debt who are not receiving the gap grant have also been assisted to register for 2019. Acceptable payment plans for these students have been agreed upon with the university’s Student Finance Office.

     

  4. First-time entering students were assisted with a reduced first payment to enable them to register for 2019.

     

  5. Final-year students with historic debt of less than R20 000 who could not have been assisted in any of the above concessions explained above were allowed to register.

     

  6. Students who are provisionally registered and who could not find the necessary financial means, had the opportunity to submit appeals to the Financial Appeals Committee by 29 March 2019 to secure their registration. This committee comprises representatives of the university management, as well as members of the ISRC. This committee is scheduled to meet on 5 April 2019.

The above is evidence of the multi-layered efforts by the university to support academic deserving students as far as it is practically possible in order to avoid financial exclusion. Additionally, the university’s Student Finance Office has since the beginning of the academic year communicated extensively on the process with students who are at risk of being deregistered.  

Historically, less than 0,5% of registered students at the UFS are not able to find the necessary means to secure their registration.

To support students in their academic efforts, all matters pertaining to registration should be concluded by the end of the first term. A cut-off date is set by which all registration processes – including concessions – are to be concluded. This date – 31 March 2019 – has already been set in 2018, which is the result of consultation with all relevant stakeholders, including the IRSC.

This cut-off date has now been extended to Tuesday 2 April 2019 at 12:00.

Released by:

Lacea Loader (Director: Communication and Marketing)
Telephone: +27 51 401 2584 | +27 83 645 2454
Email: news@ufs.ac.za | loaderl@ufs.ac.za
Fax: +27 51 444 6393



News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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