265-0101-00L Data Science
| Semester | Autumn Semester 2023 |
| Lecturers | B. Gärtner |
| Periodicity | yearly recurring course |
| Language of instruction | English |
Courses
| Number | Title | Hours | Lecturers | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 265-0101-00 V | Data Science Block course 25.11.23 08:00 – 10:00 CAB G 11 (Exam) | 36s hrs |
| B. Gärtner |
Catalogue data
| 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 | The module in particular covers cryptography and digital signatures, networking and distributed algorithms, distributed ledger technology, as well as machine learning (supervised and unsupervised learning). For each topic, there will be a hands-on and in-depth introduction that allows participants to gain a technical understanding of key ideas. This is supported by simple and concrete examples as well as programming assignments. |
Performance assessment
| Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
| ECTS credits | 4 credits |
| Examiners | B. Gärtner |
| Type | graded semester performance |
| Language of examination | English |
| Repetition | Repetition possible without re-enrolling for the course unit. |
| Additional information on mode of examination | Two homeworks and a written exam (90 minutes). Each homework as well as the exam are graded. If H1, H2 and E are the homework and exam performances (measured in the percentage of points achieved), the module performance is 0.1*H1 + 0.1*H2 + 0.8*E. This means, each homework contributes 10%, and the exam contributes 80%. A module performance of 50% or higher is guaranteed to be a passing performance, but depending on the cohort, we may also require less than 50% to pass the module. Repetition of a failed exam is possible immediately after the CAS (usually before the end of February). Dates are to be negotiated directly with the lecturer(s) in question. If you do not take the repetition exam or fail again, the module and thus the whole CAS are considered as failed. |
Learning materials
| No public learning materials available. | |
| Only public learning materials are listed. |
Groups
| No information on groups available. |
Restrictions
| Priority | Registration for the course unit is only possible for the primary target group |
| Primary target group | MAS ETH in Applied Technology (247000)
CAS ETH in Applied Information Technology (265000) |
Offered in
| Programme | Section | Type | |
|---|---|---|---|
| CAS in Applied Information Technology | Module | O |  |
| MAS in Applied Technology | Major in Applied Information Technology | O | |