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

co-registration: possible

Cross-Disciplinary Strategies (Master): Study Areas: Study Area 2: Science and Technology

Cross-Disciplinary Strategies (Master): Elective Field: only students without a bachelor's degree in CDS: from Study Areas 1-6

Cross-Disciplinary Strategies (Bachelor): Science and Technology: Foundation

Cross-Disciplinary Strategies (Bachelor): Science and Technology: Deepening / Application

Individual courses: possible