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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

Researcher works on finding practical solutions to plant diseases for farmers
2017-10-03

 Description: Lisa read more Tags: Plant disease, Lisa Ann Rothman, Department of Plant Sciences, 3 Minute Thesis,  

Lisa Ann Rothman, researcher in the Department of
Plant Sciences.
Photo: Supplied

 


Plant disease epidemics have wreaked havoc for many centuries. Notable examples are the devastating Great Famine in Ireland and the Witches of Salem. 

Plant diseases form, due to a reaction to suitable environments, when a susceptible host and viable disease causal organism are present. If the interactions between these three factors are monitored over space and time the outcome has the ability to form a “simplification of reality”. This is more formally known as a plant disease model. Lisa Ann Rothman, a researcher in the Department of Plant Sciences at the University of the Free State (UFS) participated in the Three Minute Thesis competition in which she presented on Using mathematical models to predict plant disease. 

Forecast models provide promise fighting plant diseases
The aim of Lisa’s study is to identify weather and other driving variables that interact with critical host growth stages and pathogens to favour disease incidence and severity, for future development of risk forecasting models. Lisa used the disease, sorghum grain mold, caused by colonisation of Fusarium graminearum, and concomitant mycotoxin production to illustrate the modelling process. 

She said: “Internationally, forecasting models for many plant diseases exist and are applied commercially for important agricultural crops. The application of these models in a South African context has been limited, but provides promise for effective disease intervention technologies.

Contributing to the betterment of society
“My BSc Agric (Plant Pathology) undergraduate degree was completed in combination with Agrometeorology, agricultural weather science. I knew that I wanted to combine my love for weather science with my primary interest, Plant Pathology. 
“My research is built on the statement of Lord Kelvin: ‘To measure is to know and if you cannot measure it, you cannot improve it’. Measuring the changes in plant disease epidemics allows for these models to be developed and ultimately provide practical solutions for our farmers. Plant disease prediction models have the potential ability to reduce the risk for famers, allowing the timing of fungicide applications to be optimised, thus protecting their yields and ultimately their livelihoods. I am continuing my studies in agriculture in the hope of contributing to the betterment of society.” 

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