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Introduction to Data science and AI

Bachelor's level | 7.5 credits | Course code: DIT405
Autumn 2020
50% Day
Period: 2 November 2020 - 17 January 2021
2) Only EU/EEA citizens and students with approved residence permit in Sweden can apply

About the Course

During the course, a wide selection of methods for Data Science and AI will be introduced.
The course is divided into three parts:

Introduction to data science

  • Implementation of data science solutions, using Python, basic data analysis and visualization.
  • Introduction of the data science process, and appropriate methodology.
  • Examples of core data science methods with case studies such as in clustering, classification and regression.
  • Data science put in context regarding ethics, regulations and limitations.

Statistical methods for data science and AI

  • Introduction of some common stochastic models with examples of applications indata science and AI (for instance, naive Bayes classifiers, topic models for text and Hidden Markov Models for sequence data).

Artificial Intelligence

  • Introduction to classical AI and machine learning, including the relationship torelated areas such as algorithms and optimization, and AI philosophy.
  • Examples of methods and applications of AI, in classical AI (search and constraint satisfaction), and ML-based (search engines, naive Bayes and neural networks)
  • Discussion of ethics and societal impact of AI.

More Information

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Course Syllabus


Requirements and Selection

Requirements: To be eligible for the course students should have:

  • 7,5 hec mathematical thinking (DIT025 or DIT856 or equivalent) or a course inbasic mathematics (containing e.g. calculus, linear algebra, discrete mathematics).
  • 7,5 hec mathematical statistics (e.g. MSG810 or DIT862 or DIT278 or similar) orthe two courses DIT847 and DIT278 (or equivalent).
  • 7,5 hec Programming in a General-Purpose Language (e.g. C/C++/Java/Python orsimilar.

Selection: Selection is based upon the number of credits from previous university studies, maximum 225 credits.

Tuition Fee

Application fee: 900 SEK
Full course cost: 17 875 SEK
First payment: 17 875 SEK

EU/EEA citizens, Swedish residence permit holders and exchange students do not pay fees. More information on:

Study Guidance


Department of Computer Science and Engineering
41296 Göteborg

Visiting address: Rännvägen 6 B

Page Manager: Pontus Sundén
Last update: 2/18/2020 2:41 PM

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Page Manager: Pontus Sundén|Last update: 10/16/2018

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