263-3300-00L Data Science Lab
Semester | Spring Semester 2022 |
Lecturers | C. Zhang, V. Boeva, R. Cotterell, J. Vogt, F. Yang |
Periodicity | every semester recurring course |
Language of instruction | English |
Comment | Only for Data Science MSc. |
Courses
Number | Title | Hours | Lecturers | |
---|---|---|---|---|
263-3300-00 P | Data Science Lab | 9 hrs | C. Zhang, V. Boeva, R. Cotterell, J. Vogt, F. Yang |
Catalogue data
Abstract | In this class, we bring together data science applications provided by ETH researchers outside computer science and teams of computer science master's students. Two to three students will form a team working on data science/machine learning-related research topics provided by scientists in a diverse range of domains such as astronomy, biology, social sciences etc. |
Learning objective | The goal of this class if for students to gain experience of dealing with data science and machine learning applications "in the wild". Students are expected to go through the full process starting from data cleaning, modeling, execution, debugging, error analysis, and quality/performance refinement. |
Prerequisites / Notice | Prerequisites: At least 8 KP must have been obtained under Data Analysis and at least 8 KP must have been obtained under Data Management and Processing. |
Performance assessment
Performance assessment information (valid until the course unit is held again) | |
Performance assessment as a semester course | |
ECTS credits | 14 credits |
Examiners | C. Zhang, V. Boeva, R. Cotterell, J. Vogt, F. Yang |
Type | ungraded semester performance |
Language of examination | English |
Repetition | Repetition only possible after re-enrolling for the course unit. |
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 | Data Science MSc (261000) |
Offered in
Programme | Section | Type | |
---|---|---|---|
Data Science Master | Data Science Lab | W |