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Dates and Information

Exam: Day of the Exam (more information tba)
Lecture 1: First Steps in Data Analysis (Dr. Casalicchio)
Lecture 2: Statistical Foundations (Prof. Kauermann)
Lecture 3: Statistical Modeling (Prof. Kauermann)
Lecture 4: Large-Scale Data Science and AI (Prof. Kranzlmüller)
Lecture 5: Unsupervised Methods (Dr. Casalicchio)
Lecture 6: Supervised Machine Learning 1 (Prof. Bischl)
Lecture 7: Supervised Machine Learning 2 (Prof. Bischl)
Lecture 8: Supervised Machine Learning 3 (Prof. Bischl / Dr. Casalicchio)
Lecture 9: Introduction to Deep Learning (Prof. Rügamer)
Optional pre-course: R basic course (separate booking required)
Teachers

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