Introductory Topics in Science and Technology
Martin Gasser
Arts and Society, Cross-Disciplinary Strategies
2022W, Lecture and Discussion (VD), 1.0 ECTS, 1.0 semester hours, course number S04497
Description
This course will give an introduction to the world of Data Science and Machine Learning (ML) using the programming language Python.
We will explore a range of topics:
- Reading data from various file formats / sources
- Different ways to visualize and explore data
- Basics of computational statistics and ML
- Building a simple prediction model
- Overview of advanced topics in ML, artistic applications of ML
Comments
Students from other departments or universities will be given a place on the course subject to room capacities.
Dates
18 November 2022, 09:15–12:45 CDS Lecture Room
25 November 2022, 09:15–12:45 CDS Lecture Room
02 December 2022, 09:15–11:00 CDS Lecture Room
13 January 2023, 09:15–12:45 CDS Lecture Room
20 January 2023, 09:15–12:45 CDS Lecture Room
27 January 2023, 09:15–12:45 CDS Lecture Room
03 February 2023, 09:15–12:30 CDS Lecture Room
Course Enrolment
Via online registration
Curriculum Allocation
Cross-Disciplinary Strategies (Master): Study Areas: Study Area 2: Science and Technology 569/020.02
Cross-Disciplinary Strategies (Master): Elective Field: only students without a bachelor's degree in CDS: from Study Areas 1-6 569/080.10
Cross-Disciplinary Strategies (Bachelor): Science and Technology: Foundation 700/002.10
Cross-Disciplinary Strategies (Bachelor): Science and Technology: Deepening / Application 700/002.20
Co-registration: possible
Attending individual courses: possible