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Introduction to Data science and AI

Course
DIT406
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-18618
Tuition
Full education cost: 18 250 SEK
First payment: 18 250 SEK
Application opens 15 March 2021

About

This course will introduce a wide selection of methods for Data Science and AI to the student. The course is divided into three parts:

1. 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.

2. Statistical methods for data science and AI

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

3. Artificial Intelligence

- Introduction to classical AI and machine learning, including the relationship to related 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 or similar.

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.