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28 March 2018 Photo Supplied
Building programmes receive accreditation
The vision for the UFS Department of Quantity Surveying and Construction Management is to be the preferred choice for built environment students and the preferred provider of built environment graduates.
In 2017 the South African Council for the Project and Construction Management Professions (SACPCMP) visited the Department of Quantity Surveying and Construction Management at the University of the Free State (UFS), to re-accredit programmes offered by the department.

In January 2018 the department received the news that the SACPCMP granted full accreditation for the next five years (January 2018 to December 2022) for the programmes BSc Construction Management; BSc Hons Construction Management; and Master’s in Land and Property Development Management (Project Management specialisation).

The South African Council for Property Valuation Profession (SACPVP) also granted conditional accreditation for the Master’s in Land and Property Development Management (MLPM) (valuation specialisation) programme.

The value of accreditation
According to Prof Kahilu Kajimo-Shakantu, Head of the Department of Quantity Surveying and Construction Management, it means the department is recognised as a certified place of learning offering a certified programme mix recognised by the SACPCMP as meeting its standards. It further means that the department, via its programmes, is able to produce graduates who are “fit for purpose”, technically competent, and have developed and can demonstrate a range of skills.

She added: “Having accredited programmes makes our programmes attractive, with wider employment opportunities. It certifies that our graduates from the Construction Management programme are qualified and competent. They have achieved a minimum level of competence to embark on the journey to practise professionally.”

Achieving and maintaining programme accreditation from the respective national and international professional bodies is the ultimate goal for the department. “This hallmark of quality reflects the university’s aspiration towards excellence,” Prof Kajimo-Shakantu said.

On offer at the department
The department offers BSc in Construction Management and BSc Hons in Construction Management and BSc Quantity Surveying and BSc Hons Quantity Surveying respectively.  These programmes are offered both on residential (full time) as well as via compact mode of delivery (block sessions) for those already working in the construction industry but who wish to obtain or further their educational qualifications. 

At master’s level, the department offers a structured Master of Land and Property Development Management Programme (MLPM) with specialisation in either Valuation or Project Management. Other programmes on offer are the following   master’s and doctoral programmes, namely; MSc Construction Management, MSc Property Science and MSc Quantity Surveying and PhD Construction Management, PhD Property Science and PhD Quantity Surveying respectively.

“My vision for the Department of Quantity Surveying and Construction Management is to be the preferred choice for built environment students and the preferred provider of built environment graduates,” said Prof Kajimo-Shakantu.

“Construction Management programmes, like the other programmes we offer, lead to exciting, challenging and rewarding careers in the construction industry and beyond. Our graduates are also highly sought-after by built environment employers nationally and internationally,” she concluded.

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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