This course gives a basic introduction to machine learning (ML) and artificial intelligence (AI). Through an algorithmic approach, the students are given a practical understanding of the methods being ...

Classic approaches in data analysis are based on a static (or predefined) procedure for both collecting and processing data. Modern approaches deal with the adaptive procedures which in practice ...

The course provides a thorough introduction to design, analysis (both theoretical and empirical), and programming of difference and elemental methods to solve differential equations. In addition, the ...

This course is a continuation of IN1000 – Introduction to Object-oriented Programming and goes deeper into object-oriented programming; the working language is java, and it´ll be given an introduction ...

This course provides an introduction to different astrophysical subjects with focus on the underlying physical processes, solving problems numerically and data analysis. Some examples include orbital ...

Why do people waste their vote across the world? Why do ethnic groups kill each other in some places and not others? Why does the same policy seem great in one place and fail miserably in another?

Causal inference is the task of drawing conclusions from data about the effects of treatments and other type of interventions. In epidemiology and clinical research, as well as in many other fields, ...

In this course you will learn about the relationships between different calculation models, formal languages, their limitations and complexity. The special admission requirements may also be covered ...

The course gives a basic introduction to analytical mechanics and classical field theory, with an emphasis on the Lagrange-Hamilton formalism, Noether's theorem and the action concept. Further, the ...

Ultrasound imaging is a technique used in medicine, sonar, non-destructive testing, and beyond. This course explains the fundamentals of acoustic imaging, beamforming, and ultrasound imaging modes.

The course introduces basic programming in the Python programming language. The programming themes are illustrated in a series of mathematical examples. The mathematical themes are synchronized with ...

In this course you´ll learn about new database technologies to handle Big Data: Data Stream Management Systems, Complex Event Processing, Distributed and Heterogeneous Database Systems, Data ...