Introductory Topics in Science and Technology

Silvan David Peter
Arts and Society, Cross-Disciplinary Strategies
2022W, Vorlesung und Übungen (VU), 1.0 ECTS, 1.0 semester hours, course number S30458

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

From 01 August 2022, 11:05 to 31 October 2022, 11:05
Via online registration

co-registration: possible

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

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

Individual courses: possible