Thursday, 13 February 2025
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09:00 - 09:15
Introduction & welcome
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09:15 - 10:00
ADS Fundamentals – Basics (Terms & Definitions)
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10:00 - 10:45
ADS Fundamentals – Digitalization
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10:45 - 11:00
Break
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11:00 - 11:45
Tools & Programs – Introduction & Overview / Data Science tools
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11:45 - 12:30
Data Mining 1
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12:30 - 13:30
Break
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13:30 - 15:00
Tools & Programs – Programming languages for data science (R)
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15:00 - 15:15
Break
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15:15 - 16:15
Tools & Programs – Programming languages for data science (R)
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16:15 - 17:00
Case Study
Saturday, 15 February 2025
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09:00 - 10:45
Information Technology – Data management 1
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10:45 - 11:00
Break
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11:00 - 11:45
Information Technology – Data processing technology 1
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11:45 - 12:30
Mathematic & Statistic – Unsupervised learning
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12:30 - 13:30
Break
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13:30 - 14:15
Mathematic & Statistic – Unsupervised learning
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14:15 - 15:00
Mathematic & Statistic – Deep learning 1
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15:00 - 15:15
Break
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15:15 - 16:15
Mathematic & Statistic – Deep learning 1
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16:15 - 16:45
Case Study
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16:45 - 17:00
Concluding remarks, closing of seminar
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All the above times are given in CET (Central European Time).