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 ...

Statistical analysis is becoming more and more complex, both because of bigger data and many types of data and because of the use of more advanced methods and models. This course deals with numerical ...

Quantum Computing is the intersection of computer science, mathematics, and quantum physics which utilizes the phenomena of quantum mechanics to perform computations that classical computers cannot ...

This course gives an introduction to numerical methods for solving problems in physics and chemistry, i.e. methods for solving ordinary and partial differential equations, matrix operations and ...

Exphil provides an introduction to basic philosophical questions about knowledge and ethics. The course consists of three main parts, corresponding to the three themes: knowing, being and doing. Part ...

The course introduces the student to statistical mechanics and thermodynamics. Statistical mechanics is the microscopic foundation of thermodynamics. The student is introduced to the fundamental ...

be familiar with different embodied perspectives on the experience of music. have acquired terminology to describe different kinds of music-related body motion by both performers and perceivers. be ...

This is an advanced course on computational physics with an emphasis on quantum mechanical systems with many interacting particles. The course covers Stochastic methods like various Monte Carlo ...

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, ...

One of the hallmarks of being human is that we can suffer as well as flourish. Focusing on positive psychology and clinical psychology, psychiatry, and psychotherapy, this course offers a sustained ...

The course focuses on methods for modern data analysis both within a practical and theoretical framework. Fewer assumptions are made when using these methods, such as machine learning or statistical ...

Theory and clinical practice is continued from the 7th semester. The practical competence is given high priority. At the same time the cause of diseases is highlighted. It is expected that students ...