Sweden

The course covers the translation between biology and mathematics; population models and spatial models, simulations: Deterministic versus stochastic simulations of mathematical models; weaknesses, strengths, and applicability; the Gillespie algorithm for stochastic simulations: Naive implementation and possible optimizations for large systems; cost functions; optimization methods including local optimization, thermodynamic methods, particle-swarm optimization, and genetic algorithms; and sensitivity analysis: Estimation of the uncertainty of determined parameter values. Strategies to achieve robustness. Admission to the course requires 90 credits Science studies, including knowledge equivalent to BERN01 Modelling in Computational Science, 7.5 credits or FYTN03 Computational physics, 7.5 credits and English 6/B. Admission to the course also requires knowledge in programming in Python equivalent to NUMA01, 7.5 credits or similar knowledge in Matlab, C++ or the like programming language.

The course is an introduction to vector calculus and a specialization of differential and integral calculus of functions of several variables. The course covers line and surface integrals; Green's formula, Gauss divergence theorem, and Stokes theorem; Basic potential theory. To be eligible for the course, 45 credits in courses in mathematics equivalent to MATA21 Analysis in One Variable (15 credits), MATA22 Linear Algebra 1 (7.5 credits), MATA21 Analysis in Several Variables 1 (7.5 credits), MATB22 Linear Algebra 2 (7.5 credits) and one of the courses NUMA01 Computational Programming with Python (7.5 credits) and MATA23 Foundations of Algebra, (7.5 credits) are required.
 

This course introduces and elaborates on diplomatic practices, such as negotiation and mediation. Central issues discussed and compared are varieties of diplomacy, newness and decline of diplomacy, cultural differences in international negotiation, and third parties in international negotiations. Practice and strategies are linked to various diplomatic actors, such as states, intergovernmental organizations (IGOs), nongovernmental organizations (NGOs) official, and unofficial diplomats. The course stresses the linkage between theory and practice in international relations.

Diseases that integrate physiology, cellular biology, and molecular biology with pathophysiology and pharmacology are central to this course. The course provides a comprehensive perspective on organ system related diseases, their complications, and treatments at the molecular, cellular, and systemic level. The course starts with a focus on basic pathophysiology at the cellular and molecular levels and an introduction to pharmacology with a focus on pharmacodynamics, pharmacokinetics and toxicology. The course covers various aspects such as pathophysiological mechanisms, pharmacological and non-pharmacological interventions, the mechanisms of the impact of drugs at the molecular, cellular and organ level and ethical considerations related to the UN Global Goals from a broad perspective. During the course, different parts of the drug development process are introduced – from the early pre-clinical stages to clinical trials and approval. Pre-req includes BIMB40 Organ Systems and Homeostasis of the Human Body.
 

Electricity consumption in the world is increasing, both in terms of quantity and as a proportion of total energy consumption. Wind power has the potential to make a major contribution to the electricity generation and this with very low CO2 emissions.
The course covers wind turbine design and operation as well as of atmospheric flows and the wind’s interaction with the turbines and their surroundings. The course describes the operation of the wind power plants, aero- and structural dynamics and control. Furthermore, special attention is paid to wind and wind measurements and, more comprehensively, electrical, political, economic and environmental aspects. 

This course provides basic knowledge of the culture of the Viking Age, such as it is presented in contemporary sources and in interpretations and applications from the past two centuries with a special focus on how this culture has gained considerable importance then and in modern times, in the Viking homelands, and the surrounding world. The course provides skills in interpreting, understanding and discussing certain contemporary sources both written (Old Norse literature, rune inscriptions, chronicles) and archaeological, and to analyze the nature of Viking culture's depiction in high and popular culture in fiction, film, media, monuments and cultural-political contexts with a certain emphasis on its relationship with the romantic tradition. The course highlights how the modern spread of Viking culture has been marked by academic and political disagreements.

This course acquires knowledge and skills about the principles, methods, and tools used in industry in the development of complex product systems. The course develops beyond one's own engineering discipline, to understand holistically a product development project, including the system-technical and economic perspectives over the product's entire life cycle, the project risks and technical risks, as well as a basic understanding of socio-technical systems – for example a product and its users, or a technical development organization.

The course is an introduction to manufacturing processes, ranging from machining operations to production quality control and production cost analysis, according to requirements of the Smart Manufacturing. The course provides an overview of systems and methods to monitor the machining operations and control the production quality by in- and post-process measurements. Part of the course is focused on introduction to the development of data acquisition and monitoring systems based on Artificial Intelligence (AI) and Machine Learning (ML) techniques and their implementation in manufacturing processes in academy and industry environments. The course is given as lectures with computer exercises and laboratory sessions and a task to train the student to elaborate on the material presented in the lectures. A project gives the student an opportunity to independently solve a problem for automatized process monitoring and production control. Assumed prior knowledge: MMT012/MMTF20 Production and Manufacturing Methods or MMTA05 Production Systems or MMTF01 Production and FKM015/FKMA01 Materials Engineering, Basic Course.
 

The course covers methods for data mining and business analytics and their usage in making strategic business decisions. It concentrates on the modelling aspects of data mining and provides tools for better understanding key methods of data exploration, visualization, classification, prediction, and clustering. The course starts with data visualization and getting to know features hidden in the data. Traditional regression models and hypothesis testing are practiced using real data. This introduction to traditional approaches then leads to the discussion of more advanced methods such as, discriminant analysis, classification and clustering methods, which are useful in finding patterns hidden in the data. The course deals with various types of data such as categorical data, time series, text data, and network data, among others. The fundamentals of building suitable models are discussed. Illustrations are carried out using the statistical package R.