BEGIN:VCALENDAR PRODID:-//github.com/rianjs/ical.net//NONSGML ical.net 4.0//EN VERSION:2.0 BEGIN:VEVENT DESCRIPTION:The Central University of Technology\, Free State (CUT) is pro ud to participate in the 17th CHPC &\; 9th NITheCS Coding Summer Schoo l\, a nationally recognised intensive training programme in Data Science and Machine Learning. This two-week summer school offers students\, resea rchers\, and industry professionals access to high-quality\, structured t raining that would typically cost between R20 000 and R80 000 through com mercial providers\, at no cost to successful applicants.What you will lea rnThe programme is divided into two comprehensive tracks\, delivered by l eading experts in computational and data sciences:Data Science Track:Work flow management and ETL (Extract\, Transform\, Load)Exploratory Data Anal ysis (EDA) and VisualisationTerminal Skills and Leveraging AI ToolsMachin e Learning Track:Computational ThinkingProbability Theory and StatisticsM achine Learning and AI FundamentalsWho should attendThis summer school is designed for:Final-year undergraduate students planning postgraduate stu dyPostgraduate students (Honours\, Master'\;s\, Doctoral)Researchers a nd industry professionals seeking to strengthen data science capabilities Relevance across disciplinesData science and machine learning skills are increasingly essential across all fields of study and professional practi ce:Education: Student success prediction\, learning analytics\, curriculu m evaluation\, and assessment data analysisHumanities and Social Sciences : Survey analysis\, policy research\, digital humanities\, text and docum ent analysis\, and community impact studiesManagement Sciences: Business analytics\, forecasting\, operational efficiency\, and decision supportHe alth and Environmental Sciences: Public health data analysis\, epidemiolo gical studies\, environmental monitoring\, and sustainability researchEng ineering\, Physics and ICT: Experimental data analysis\, modelling and si mulation\, sensor data processing\, optimisation\, and AI applicationsPre requisites:Background in Python programming (essential)Must pass the entr ance test (emailed after registration)Must be registered at a South Afric an universityNew to Python? Prepare by completing the free Python for Beg inners course on Alison or attending a free NITheCS Software Carpentry Wo rkshop (visit nithecs.ac.za for details).Important notes and how to apply Space is limited at each venue.Travel and accommodation are not covered.A pplications must be submitted by 15 December 2026 at 12:00.For more infor mation contact\, Dr ZW Dlamini\, zdlamini@cut.ac.zaFor more information a bout the programme&rarr\;\nApplications are submitted through the CHPC su pport portal&rarr\; DTEND:20270205T160000 DTSTAMP:20261112T154208Z DTSTART:20270125T093000 SEQUENCE:0 SUMMARY:Coding Summer School: Data Science and Machine Learning UID:69eeb120-5e60-4db8-9053-5e617f24696d X-ALT-DESC;FMTTYPE=text/html:

The Central University of Technol ogy\, Free State (CUT) is proud to participate in the 17th CHPC &\; 9t h NITheCS Coding Summer School\, a nationally recognised intensive traini ng programme in Data Science and Machine Learning. This two-week summer s chool offers students\, researchers\, and industry professionals access t o high-quality\, structured training that would typically cost between R2 0 000 and R80 000 through commercial providers\, at no cost to su ccessful applicants.

What you will learn

The programme is divided into two comprehensive tracks\, delivered by leading experts in computational and data sciences:

Data S cience Track:

Workflow management and ETL (Extract\, Transform\, Load)
Exploratory Data Analysis (EDA) and Visualisati on
Terminal Skills and Leveraging AI Tools

Ma chine Learning Track:

Computational Thinking
Probability Theory and Statistics
Machine Learning and AI Fundame ntals

Who should attend

This summer school is designe d for:

Final-year undergraduate students planning postgraduate study
Postgraduate students (Honours\, Master'\;s\, Doctoral)
Researchers and industry professionals seeking to strengthen dat a science capabilities

Relevance across disciplines

D ata science and machine learning skills are increasingly essential across all fields of study and professional practice:

Education: Stu dent success prediction\, learning analytics\, curriculum evaluation\, an d assessment data analysis
Humanities and Social Sciences: Survey analysis\, policy research\, digital humanities\, text and document anal ysis\, and community impact studies
Management Sciences: Business analytics\, forecasting\, operational efficiency\, and decision support< /li>
Health and Environmental Sciences: Public health data analysis\, epidemiological studies\, environmental monitoring\, and sustainability r esearch
Engineering\, Physics and ICT: Experimental data analysis \, modelling and simulation\, sensor data processing\, optimisation\, and AI applications

Prerequisites:

B ackground in Python programming (essential)
Must pass the entranc e test (emailed after registration)
Must be registered at a South African university

New to Python? Prepare by completing the free Python for Beginners course on Alison or attending a free NITheCS So ftware Carpentry Workshop (visit nithecs.ac.za for details).

Impor tant notes and how to apply

Space is limited at each venue.
Travel and accommodation are not covered.
Applications mus t be submitted by 15 December 2026 at 12:00.

For more information contact\, Dr ZW Dlamini\, zdlamini@cut.ac.za

For more inform ation about the programme&rarr\;\nApplications are submitt ed through the CHPC support portal&rarr\;

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