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UFS launches groundbreaking RPA challenge on innovating with power automation

29 October 2024 | Story Jacky Tshokwe | Photo Supplied

RAiN Automate Innovate Challenge 2024 — The University of the Free State accounting students rise to the challenge in the RAiN Automate to Innovate Challenge.

The School of Accountancy at the University of the Free State (UFS) is leading a forward-thinking initiative by introducing the RAiN Automate to Innovate Challenge in 2024. This marks the first time that the UFS has run this challenge, and it is already making waves in the accounting education landscape. As one the few Accountancy department in South Africa to host such an event, the UFS is paving the way for technological integration in the academic world, setting the stage for future inter-university competitions.

The RAiN Automate to Innovate Challenge invited second-year BAcc students enrolled in the EIDE2724 module to participate in groups of three to four. Their task was to identify and solve a real-world problem related to either students or business by developing a robotic process automation (RPA) bot using Power Automate.

The challenge followed an exploratory learning approach, empowering students to dive into the world of automation with minimal formal lecturing. This approach develops students’ creativity and problem-solving skills. The students worked hard to master Power Automate and applied their knowledge to build automation bots that successfully solved business and student life problems.

Presentations and the final showdown

After presenting their bots on 10, 11, and 14 October, the top six groups were announced in class, eagerly awaiting the grand finale. The final round took place on 18 October from 12:00 to 14:00, where the top six groups competed head-to-head.

A distinguished panel of judges, consisting of three judges from RAiN Auditors and three from the UFS, evaluated the bots based on creativity, functionality, and potential impact. By the end of the event, the winning groups were announced, and the following prizes were awarded:

First place: R1 500 each
Second place: R1 200 each
Third place: R1 000 each

The prizes were generously sponsored by RAiN Auditors, showcasing their commitment to fostering innovation in education.

Looking ahead

As the first South African university to run this type of challenge, the UFS aims to inspire other institutions across the country to follow suit. The School of Accountancy is eager to expand this competition, with the hope of challenging other universities in 2025 and beyond, creating a platform for students to showcase their technical skills and business acumen in the rapidly evolving field of accounting.

Stay tuned for the impact and future growth of the RAiN Automate to Innovate Challenge, where we continue to push boundaries and prepare the next generation of accountants to excel in a digital world.

For more insight into the competition, check out the video recap [here](insert Vimeo link). Be sure to explore the image gallery, showcasing the incredible work and teamwork of our students.

Check out the video here for more details.

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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