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23 May 2025 | Story Lilitha Dingwayo | Photo Lunga Luthuli
Mock Interview
UFS students shine with confidence at the 2025 Mock Interview Day, ready for career success.

To get senior and postgraduate students ready for the world of work, the University of the Free State (UFS) Division of Career Services’ Placement Preparation Day, which was initiated in 2023, has grown into an annual workshop – Mock Interview Day – with this year’s event taking place in the Callie Human Centre on the Bloemfontein Campus.   

Held on 14 and 15 May 2025, this UFS initiative – aimed at addressing employability – has evolved through the implementation of several educational subdivisions tasked with the responsibility of assisting all registered students understand the professional environment. One of these divisions is the Centre for Teaching and Learning’s (CTL) ‘Graduate Attributes’ – an initiative that seeks to assess a student’s development of valuable attributes during lectures.

According to Belinda Janeke, Assistant Director of Career Services, “Feedback indicates that most students have no interview experience – a critical factor. It is through these mock interviews that students’ confidence is built and their transition from student to employee is smoothened.” 

With the assistance of staff members and employees in conducting the interviews, the two-day initiative has seen evident success in both attendance and reach. “Yesterday we had about 90 students come in for the mock interviews and all of them stated that it was their first time being interviewed,” said Janeke. “Even though our office is situated on the Bloemfontein Campus, we also visit the South and Qwaqwa campuses to ensure accessibility across all three UFS campuses,” Janeke added. Emphasising results, she shared that in the 12 years she has been working in this division, student engagement has grown due to improvements in technology. 

Career Services sends out letters and emails on the 11th of each month to recognise the achievements of students who have used their services. In collaboration with the UFS’ Vision 130, more directions are being explored across the three campuses, starting with the cross-campus Shoe Camp project.

This initiative targets all UFS students, prioritising senior individuals on the cusp of job hunting. “As a postgraduate student, I am looking into getting a job next year and I have never been interviewed before, so I needed the trial run to get more information on accurate interview etiquette,” said Aphiwe Mbutuma, an Administration honours student. Mbutuma said the support she received from the staff was crucial in boosting her confidence for her next interview. She further described the experience as an eye-opener, adding that students should seize these opportunities to understand what is expected of them. Zukile Daki, a second-year student in the Faculty of Law, said: “I once bombed an interview, so I came here to improve, and it went well.”

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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