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Introduction to Data science and AI

Course
Bachelor’s level
7,5 credits (ECTS)
Study pace
50%
Time
Day
Location
Göteborg
Study form
Campus
Language
English
Duration
-
Application open
-
Application code
GU-18614
Tuition
Full education cost: 17 875 SEK
First payment: 17 875 SEK

No fees are charged for EU and EEA citizens, Swedish residence permit holders and exchange students.

More information about tuition fees

Application closed

About

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.

Prerequisites 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.

For admission to the summer 2021 and onward the following selection applies: selection is based upon the number of credits from previous university studies, maximum 165 credits.