Computational Science: Introduction to Artificial Neural Networks and Deep Learning

Machine learning has evolved rapidly, driving a surge of interest in artificial neural networks (ANNs). Thanks to more efficient algorithms and powerful hardware, you can now build highly complex and high-performing models. Deep learning refers to the process of training these networks, allowing them to process raw or minimally processed data and automatically identify patterns—a concept known as feature learning or representation learning.

In this course, you will get a basic understanding of artificial neural networks and deep learning. You will learn both the theory behind these technologies and how to apply them to real problems in machine learning and data mining. Through hands-on exercises, you will also practise training and evaluating different ANN models, helping you develop a strong foundation in the field.

This course combines theory with practical application. In lectures, you will explore the fundamental principles of artificial neural networks and deep learning, including key models, training methods, and real-world applications. A particular focus is placed on the multi-layer perceptron, one of the most widely used ANN architectures.

To reinforce your learning, you will complete two hands-on programming assignments where you will train and evaluate different ANN models. These exercises will give you practical experience in working with neural networks and applying deep learning techniques to typical machine learning and data mining problems.

Prerequisites

Knowledge corresponding to 90 ECTS credits in natural sciences of which at least 45 ECTS credits mathematics, and English course 6/B.

Selection criteria

Seats are allocated according to: ECTS (HPAV): 100 %.

Tuition fees for non-EU/EEA citizens

Citizens of countries outside:

• The European Union (EU)
• The European Economic Area (EEA) and
• Switzerland

are required to pay tuition fees. You pay an instalment of the tuition fee in advance of each
semester.

Tuition fees, payments and exemptions

Full programme/course tuition fee: SEK 23,125
First payment: SEK 23,125

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Note that you may also need to pay an application fee, or provide proof of exemption.

Application fee

No tuition fees for citizens of the EU, EEA and Switzerland

There are no tuition fees for citizens of the European Union (EU), the European Economic Area (EEA) and Switzerland.