Oylum Akkus Ispir: Catalogue data in Autumn Semester 2024 |
| Name | Prof. Dr. Oylum Akkus Ispir |
| Address | Biomedizinische Bildverarbeitung ETH Zürich, ETF C 116 Sternwartstrasse 7 8092 Zürich SWITZERLAND |
| oakkus@ethz.ch | |
| Department | Information Technology and Electrical Engineering |
| Relationship | Lecturer |
| Number | Title | ECTS | Hours | Lecturers | |
|---|---|---|---|---|---|
| 247-0111-00L | Data Science: From Analytics to Learning  | 4 credits | 3V | O. Akkus Ispir, E. Konukoglu | |
| Abstract | In this module, basic paradigms and techniques in working with data will be discussed, especially towards data security, managing data decentrally, and learning from data. | ||||
| Learning objective | Participants will understand some of the concepts in detail and see the mathematics behind them. | ||||
| Content | This module covers the essential concepts and tools of data science. The main purpose is to provide you the basic knowledge and intuition to use data and understand how it is used. You'll explore the data landscape, understand key data science techniques, and learn how to apply them. The key topics of this module are the types of data, sources, and collection methods, data lifecycle, data-driven decision making, exploratory data analysis, experimental testing, regression models, and machine learning. Each topic will be enriched with collaborative discussions and hands-on exercise, enabling you to develop a practical understanding of how data science is leveraged across various industries. | ||||
| 247-0114-00L | Ethics, Leadership & Communication in Data-Science | 2 credits | 1V | O. Akkus Ispir | |
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