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As a student enrolled in the Climathon X-course, you will be monitoring climate research and education as tools for building a sustainable future. Students and researchers share an understanding of urgency in relation to the problems of…

You will gain a conceptual understanding of how Generative AI, particularly LLMs, work and how they can be used in organisations. The course also introduces the idea of viewing organisations as Work Systems. You will learn to identify…

The course assumes that you already know the basics of conceptual data modelling and SQL. Here, you will learn how to design and deploy databases that support business operations and objectives. You will gain a deeper understanding of…

This is an introductory course to the subject of HCI. It covers fundamental concepts, principles and paradigms in HCI. The main focus of the course is on analysis and evaluation of human-computer interfaces, but the course contents rely…

Decision-making is a central activity for individuals, teams, and organisations. You’ll learn various concepts and theories about decisions, biases, data, systems, and governance of decision-making. At the start of the course, you will…

In this course, you will learn to identify opportunities for innovation and develop user-centred, impactful, and innovative digital solutions that respond to real-world needs. You will learn to pitch your ideas with a digital…

“User-centred is off centre” might at first seem counter-intuitive to traditional HCI theory. However, in this HCI-design course, you will challenge conventional ways of designing and thinking. Teaching and learning In the first part of…

This course consists of approximately 10 lectures and approximately 10 group work sessions. In lectures, students will read and discuss scholarly texts written in the Japanese language on the Japanese language, in order to improve their…

In this course, students attend weekly research seminars on Japanese linguistics and East-Asian linguistics to familiarise themselves with various research topics and methodology in Japanese and East-Asian linguistics. In these seminars,…

KEMM20. The chemist has an important role in dealing with the major challenges we face when it comes to the production of new effective drugs to combat today's and tomorrow's diseases. This course is intended for those who are…

The course begins by delving into the history of robotics, from the first industrial robots to humanoid robots. This section covers key milestones and pioneers who have shaped the evolution of robotics. Next, the course examines the…

The aim of the course is to provide in-depth knowledge on how speech is generated and perceived. The muscles of the speech apparatus and their role in speech gestures are studied, as well as the basics of aerodynamics. Speech gestures …

This course introduces the linguistic student to research methods and methodological issues, and prepares the student for writing an essay on B.A. level. The course includes methodological issues such as formulating research questions, the…

This course offers basic knowledge of the area psycholinguistics, which covers language processing and language acquisition. The goal is that you should deepen your knowledge in theories of how we produce, perceive and understand language…

The course deals with one of the most multifaceted aspects of linguistic research: the uncovering of new language data by means of linguistic fieldwork. It gives an introduction to (1) purposes and aims of linguistic fieldwork, e.g…

This course looks at the way language, and language variation, are motivated by human cognition and culture, with an emphasis on cultural and linguistic difference in a context of constrained variation. We shall explore the way in which…

The student selects three to four periods in the history of Russian literature for individual study. The selection is made from the following periods: The Enlightenment (the 18th century), The Golden Age of poetry (1800-1830), Realist…

The course examines a number of theoretical approaches which have been dominant in both Swedish and international literary research in recent years. They are introduced in a concrete manner in connection to various issues that have been…

The course focuses on a number of key post-Wall German novels, especially novels from the 1990s which directly or indirectly highlight historical events after the fall of the Wall and the German reunification. The novels are studied in…

The course is divided into two halves, the first covers probability theory and the second covers statistics. The course covers: Sample space, Events, Basic set theory, Axioms of probability. Conditional probability, Independent events…

The course treats: Markov chains: model graphs, Markov property, transition probabilities, persistent and transient states, positive and null persistent states, communication, existence and uniqueness of stationary distribution, and…

The course treats stochastic processes in discrete and continuous time. The main elements are: Models for stochastic dependence.Concepts of description of stationary stochastic processes in the time domain: expectation, covariance, and…

The student chooses in consultation with supervisors and examiner an independent examination assignment comprising 15 credits. The assignment can either be linked to current scientific projects at the Division of Mathematical Statistics or…

The course is given during the autumn semester at Lunds university and at the Technical University of Denmark in Lyngby. The graduate course in Advanced Time Series Analysis has its target audience amongst students with technical or…

Time series analysis concerns the mathematical modelling of time varying phenomena, e.g., ocean waves, water levels in lakes and rivers, demand for electrical power, radar signals, muscular reactions, ECG-signals, or option prices at the…

The course deals with model building and estimation in non-linear dynamic stochastic models for financial systems. The models can have continuous or discrete time and the model building concerns determining the model structure as well as…

Bayesian methods for stochastic modelling, classification and reconstruction. Random fields, Gaussian random fields, Kriging, Markov fields, Gaussian Markov random fields, non-Gaussian observations. Covariance functions, multivariate…

The course consists of two related parts. In the first part we will look at option theory in discrete time. The purpose is to quickly introduce fundamental concepts of financial markets such as free of arbitrage and completeness as well as…

The course treats: The real numbers: axioms, examples of proofs of basic arithmetical rules. The elementary functions, polynomials, rational functions, the exponential function and the natural logarithm, the trigonometric functions…

The course treats: Elementary logic and set theory Basic properties of the natural numbers and the integers: induction, divisibility, Euclid’s algorithm Basic properties of polynomials: divisibility, Euclid’s algorithm Complex…

The course treats: Functions of several variables, basic topology in R^n. Continuity, theorems about continuous functions. Differentiable functions, gradients and directional derivatives. Taylor's formula. Extreme values…

The course treats Matrices: matrix operations, matrix inverse, matrix rank Determinants: definition and properties Linear spaces: subspace, span, linear dependence/independence, basis, dimension Euclidean spaces: scalar product,…

The course treats: Basic properties of Fourier series of functions in one variable. Exponential form and trigonometric form. Riemann-Lebesgue lemma. Elementary conditions for pointwise and uniform convergence. Gibbs phenomenon. Basic…

The course treats: Number theory: divisibility, prime numbers, the Euclidean algorithm, Chinese remainder theorem, modular arithmetic Sets, functions and relations, equivalence relations Combinatorics: the four cases of counting with…

The aim of the course is to give necessary knowledge of digital image analysis for further research within the area and to be able to use digital image analysis within other research areas such as computer graphics, image coding, video…

The course treats basic theory of analytic functions: Elementary properties of analytic functions in one variable. Complex differentiability and Cauchy-Riemann equations. Calculation rules. Elementary examples of analytic functions:…

The course treats: Existence and uniqueness of solutions to initial value problems for systems of ordinary differential equations. Approximation of solutions and continuous dependence on parameters. Linear systems with variable and…

The course treats multiplicative number theoretic functions, Möbius inversion formula, properties of Euler's totient function, primitive roots and indices, quadratic residues, the Legendre symbol and its properties, the quadratic…

The course treats: quadratic forms and matrix factorisation, convexity, separating planes and Farkas’ Lemma, the theory of optimization with and without constraints, Lagrange functions, Karush-Kuhn-Tucker theory, duality, methods for…

The course comprises: Matrices and determinants. Linear spaces. Spectral theory.The Jordan normal form. Matrix factorizations. Matrix polynomials and matrix functions. Norms. Scalar products. Singular values. Normal matrices…

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…