Mokpo National University Produces Graduates of Big Data Course for Artificial Intelligence (AI) Talent Development
The 'Artificial Intelligence (AI) Talent Development Project Big Data Course' was conducted a total of four times in the computer lab of Maeseong High School located in Bitgaram-dong, Naju. (Photo by Mokpo National University)
View original image[Asia Economy Honam Reporting Headquarters Reporter Seo Young-seo] The Department of Convergence Software at Mokpo National University (President Park Min-seo) announced on the 14th that it has completed the "Artificial Intelligence (AI) Talent Development Project Big Data Course" held for general high school students in the province at Maesung High School in Naju on the 12th, producing a total of 20 graduates.
This course was designed to cultivate creative software talents required by the future society in preparation for the 4th Industrial Revolution by enhancing big data analysis skills related to artificial intelligence that actively respond to the AI era.
The course operation costs were fully supported by the Jeollanam-do Office of Education budget and conducted in the computer lab of Maesung High School located in Bitgaram-dong, Naju. Students in grades 1 and 2 from 10 high schools in Jeonnam were selected, and the course was held on Saturdays over four sessions from August to September.
In particular, considering student safety due to COVID-19, strict pre-established quarantine guidelines were applied and managed at the education site.
The main educational content included basic statistical analysis and probability analysis based on R, R-based data mining, and practical exercises through open data and case analysis. The program was divided into basic and advanced courses, providing a step-by-step education program considering difficulty levels, which received great response.
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Professor Jeong Han-jo, head of education at the Department of Convergence Software, said, "I deeply thank the students who diligently participated in the education despite the difficult conditions caused by COVID-19," and added, "I hope this course has laid the foundation for nurturing talents equipped with core regional competencies through basic theory and practical education in big data analysis necessary for the 4th Industrial Revolution era."
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