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Software Engineering for AI Systems

Bachelor's level | 7.5 credits | Course code: DIT821
75% Distance
Period: 22 June 2020 - 28 August 2020
2 Closed GU-38603
2) Only EU/EEA citizens and students with approved residence permit in Sweden can apply

About the Course

This course addresses issues relevant for software engineering for systems that use artificial intelligence (AI) techniques such as machine learning or large-scale parallel data processing. The course gives (a) an introduction of basic principles of AI, with emphasis on the principles and techniques used in machine learning (ML) and Deep Learning (DL), and (b) insights to support needed for successful implementation of AI systems. The course addresses the life cycle of AI systems: It includes data preparation (i.e. collecting data, data processing, storage, analysis), and building AI models by training and validation. It also discusses use of data, such as implications of using different data sets for the same goal, or using the same data set for different goals. Furthermore, the course discusses how software systems need to be structured and deployed in order to achieve the performance required for realistic applications.
Relevant software architectures and patterns are introduced and discussed in the context of a realistic application scenario. Finally, the ethical considerations in using data and providing automatically-created solutions are discussed.

The students will learn the basic ML and DL methods, processing and analyzing data in relation to the requirements, and the goals of the system implementation. Further they will learn dependencies of the results to the selected data sets including its annotation. The students will understand different data types, such as static, and streams, and different type of systems that use AI techniques.

More Information

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Course Syllabus


Requirements and Selection

Requirements: To be eligible for this course, students must have successfully completed 90 higher education credits (hec) in Software Engineering or equivalent, including 7.5 hec in object oriented programming (e.g., DIT042 Object-Oriented Programming, 7.5 hec), 7.5 hec on basic mathematical concepts such as sets, functions, relations, graphs, logarithms and proof by induction (e.g., DIT022 Mathematical Foundations for Software Engineering, 7.5 hec), and 7.5 hec on data structures and algorithms (e.g., DIT181 Data Structures and Algorithms). 

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: 17 587 SEK
First payment: 17 587 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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