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The course contains the following building blocks: Investment decision under certainty: the risk free rate and Fisher-separability Risk aversion and expected utility Arrow-Debreu securities Portfolio theory Market equilibrium:…

The course begins with a brief discussion of estimation methods that can be used to analyse financial models, such as Least Square (LS), Maximum Likelihood (ML) and Generalised Method of Moment (GMM). This is followed by a description of…

The course provides an advanced, organised, and comprehensive discussion of theoretical and empirical research in public economics. It focuses on the relationship between the government and the market and arguments for and against…

A pass on the course is compulsory if the student is to obtain a master’s degree in Physical Geography. The course is carried out as an independent project. In the project the student should display an ability to apply and compile…

The aim of this course is to give the underlying mathematical and computer science theory required in GIS. This knowledge is necessary to evaluate the results in an analysis and to carry out more advanced analyses where the tools not are…

The aim of this course is to study the use of GIS in a client-server environment, where communication takes place through the Internet. Part of the course deals with computer screen cartography. The lectures deal with the most important…

The course covers: Basic iterative methods for linear and non-linear systems of linear equations, matrix factorisations and condition number; Convergence of iterative methods; Interpolation and quadrature; Discretisation of…

The course covers: Direct and/or iterative solution methods for various linear algebra problems such as linear systems of equations, eigenvalue problems and the least-squares method,  Matrix and vector norms, orthogonalisation,…

The degree project requires a literature survey and specialised studies. Furthermore, a number of compulsory activities are included, in the form of teaching sessions and seminars that treat e.g. scientific writing in English and Swedish,…

The degree project requires a literature review and special studies. In addition, it includes a number of compulsory elements, in the form of lessons and seminars, which deal with, among other things, scientific writing in English and…

The course treats: Object-oriented programming style for scientific computing. SciPy/NumPy data structures. Examples of complex numerical algorithms from different fields within numerical analysis. Coupling to numerical libraries in C…

The course is preparatory for a master's thesis in numerical analysis. The overarching goal of the course is that students acquire in-depth knowledge in a specialised area of numerical analysis and are introduced to current research in the…

The course treats: Methods for time integration: Euler’s method, the trapezoidal rule. Multistep methods: Adams' methods, backward differentiation formulae. Explicit and implicit Runge-Kutta methods. Error analysis, stability and…

The course consists of an overview of the scientific and philosophical literature on three interconnected topics: the nature of conscious and unconscious processes including different models of mind-brain interactions,…

PSYE61 is an introductory course to human and artificial cognition. During the course, you will learn both about how artificial intelligence (AI) can be used to understand human behavior and how psychological phenomena in people can…

Democracy can be seen as a central part of human rights and good communication is a central part of democracy. The ability to both express one’s own views and to listen to others’ is foundational. Through a series of lectures and exercises…

The ability to argue well is one of the core competencies expected of citizens, politicians, companies, and students. The purpose of this course is to discuss and provide a vocabulary and instruments for the analysis, evaluation, and…