Lund University

This is a basic course in designing experiments and analyzing the resulting data. It is intended for engineers, physical/chemical scientists, and scientists from other fields such as biotechnology and biology. The course deals with the types of experiments that are frequently conducted in industrial settings. Its objective is to learn how to plan, design, and conduct experiments efficiently and effectively, and analyze the resulting data to obtain objective conclusions. Both design and statistical analysis issues are discussed. Opportunities to use the principles taught in the course arise in all phases of engineering and scientific work, including technology development, new product design and development, process development, and manufacturing process improvement. Applications from various fields of engineering (including chemical, mechanical, electrical, materials science, industrial, etc.) will be illustrated throughout the course. Topics include simple design with fixed and random effects. Simultaneous confidence intervals. Requirements for analysis of variance: transformations, model validation, residual analysis. Factorial design with fixed, random, and mixed effects. Additivity and interaction. Complete and incomplete designs. Randomized block designs, Latin squares and confounding. Regression and analysis of covariance. Admission requirements include FMAA20 Linear Algebra with Introduction to Computer Tools or FMAA21 Linear Algebra with Numerical Applications or FMAB20 Linear Algebra or FMAB22 Linear Algebra and FMAB30 Calculus in Several Variables or FMAB35 Calculus in Several Variables or FMSF20 Mathematical Statistics, Basic Course or FMSF25 Mathematical Statistics - Complementary Project or FMSF32 Mathematical Statistics or FMSF45 Mathematical Statistics, Basic Course or FMSF50 Mathematical Statistics, Basic Course or FMSF55 Mathematical Statistics, Basic Course or FMSF70 Mathematical Statistics or FMSF75 Mathematical Statistics, Basic Course or FMSF80 Mathematical Statistics, Basic Course. Assumed prior knowledge: Basic mathematical statistics and programming experience.

The course is intended for students in French or in other subjects who are interested in acquiring knowledge of Francophone Africa and in discussing in French issues of the relationship of France to its former African colonies. The course is taught entirely in French. The course reviews France and Francophone African countries from the perspective of their joint history and political, economic, cultural, and socio-linguistic aspects. Emphasis is placed on the present development of these countries and the remaining relations between them and France (the so-called Françafrique), and how these countries are organized in the French-speaking world. The teaching includes texts from papers and journals and television and online documents dealing with present-day Francophone Africa and la Françafrique. On the basis of this material, students practice oral skills in discussions and oral presentations in French.

Through theoretical studies and practical exercises, the course conveys knowledge about the structure and function of the brain and key areas of modern cognitive neuroscience, such as attention, memory, language, and cognitive control, as well as emotions and social interaction. The understanding of normal function is the primary focus of the course, but clinical examples are also used as they provide substantial illustrations of normal functioning. Furthermore, the course provides knowledge about relevant research methods within the area, and major emphasis is placed on the interdisciplinary nature of the subject. This module provides basic knowledge of neuroanatomy, brain development change, cellular function and communication, and basic brain functions, such as sensory processing, perception, motor function and motivation. Furthermore, important methods to study cognitive functions and mental processes (e.g. response times, accuracy) and to study the activity of the brain and functional anatomy (e.g. lesion and patient data, brain imaging methods) are described.

This course provides the knowledge needed to participate in development and control of drivetrain in modern electric vehicles and in wind power generation. Lectures and arithmetic exercises include the following: Modulation and Current Control methods for power electronic circuits. This is a repetition of required prior knowledge built in the preceding course EIENnn “Power Electronic Control and Design Project”. EV drivetrains design based on vehicle performance requirements. Battery voltage level, Power electronic switching frequency, Maximum vehicle speed, Acceleration requirements, hill climbing requirements, Size requirements, Number of gears. Wind turbine design based on performance requirements. Turbine Size and rotor speed range, mechanical and electrical transmission, power optimization dependent on wind speed, ancillary services requirements. Modelling of electrical machines. Torque map, flux map, voltage limitation, current limitations, optimal operating points. Applications on both EV drives and Wind power generation. Control of electrical machines. Optimal operating points, Torque control, Magnetic flux limitations, Field weakening control, Applications on both EV drives and Wind turbines. Simulation tasks and laboratory work include electric machine (PMSM) in a vehicle drive system and electrical machine (PMSM) in a wind power system. These labs are prepared through simulation work, which is reported as a homework before the lab. After the laboratory, a report is written where simulations and measurements are compared. Assumed prior knowledge: EIENnn Power Electronic Control and Design Project, ESSF01 Analogue Circuits, ESS030/ESSF20 Physics of Devices, ESSF15 Electrical Engineering (EE, WE), MIE012/EIEF35 Electrical Engineering, basic course (ME)or EITF90 Electromagnetics and Electronics (FE) and FRT010/FRTF05 Automatic Control, Basic Course.

This course gives a fundamental understanding and an experimental experience of ultrasound and gain insight in an expanding research area. Topics covered include ultrasound physics, transducer technology, diagnostic equipment technology, doppler, bio-acoustics, field characterization, airborne ultrasound, diagnostic application, non-destructive testing, sonar, and research projects at the department. Assumed prior knowledge: First Course in Physics

This course introduces the calculation methods and experience of manufacturing options used by engineers to design electromagnetic devices such as transformers, actuators, and electric machines. The aim of the design of an electromagnetic device is the desired function, integration, and rational manufacturing method, and thus this course develops the related and relevant skills and experience. The course provides theoretical knowledge though lectures, and the acquisition of modelling skills and experience through assignments and course projects. Assumed prior knowledge: EIEF15 Electrical Engineering (EE), ETE055, EITF85 Electromagnetic Field Theory (PhyE), MIE012, EIEF35 Electrical Engineering, basic course (ME), ETEF01 Electromagnetic Field Theory (MathE).

The course providers the knowledge, skills, and experience from taking part in an industrially based mechatronic development project, which is conducted up to a working prototype. The principal design of the product has been formed in the course Applied Mechatronics. It is essential that the work is done in a team with competences from various fields. The project is done during two study periods. The course participants should develop the mechatronic parts of those projects or other purely mechatronic products. The development process starts with extensive information search, brainstorming, and evaluation, activities which often encompass 30-40% of the total workload. This has been done in the course EIEN65 Applied Mechatronics. Then follows in this course selection of concept, constructive design of the product idea, ordering of components, building, testing, and adjustments. The course concludes with the official presentation of the designed products, where representatives from industry, course leaders, and the press take part. Assumed prior knowledge: Applied Mechatronics.

The course covers how solar cells and photovoltaic systems technology work in different applications, especially when integrated into the built environment. In developing countries where many live outside the electric grid, standalone PV systems are also of great interest. The ability to design and optimize the performance of PV systems through computer simulations is an important part of the course. The course covers: energy knowledge and the problems connected to the use of energy; radiation physics, the annual irradiance distribution and the climatic conditions for using solar energy in Sweden; calculation of solar angels and the irradiance on different surfaces; the PN-junction and Solar cell physics and construction and function of a PV-module; function and performance of the components in the PV-system; batteries, power point tracker, DC-AC inverter, charge regulator; system design of standalone and grid connected systems; building integration of PV-system; hand calculation of economic profitability of PV-systems; calculations of climate impact of solar cells in carbon dioxide emissions; use of simulation programs; laborations and computer simulations; and studievisits to PV installations.  Assumed prior knowledge: Basic courses in electricity and electronics. Experience from the use of calculation program like Matlab and Excel.

Through theoretical studies and practical exercises, the course conveys knowledge about the structure and function of the brain and key areas of modern cognitive neuroscience, such as attention, memory, language, and cognitive control, as well as emotions and social interaction. The understanding of normal function is the primary focus of the course, but clinical examples are also used as they provide substantial illustrations of normal functioning. Furthermore, the course provides knowledge about relevant research methods within the area, and major emphasis is placed on the interdisciplinary nature of the subject. This module includes a literature review but can also consist of a short empirical oriented project (within the field of Cognitive Neuroscience).

The course is developed to advance the knowledge of and ability to apply theories, policies, frameworks, and concepts related to promoting green transition and dealing with the twin crises of climate change and biodiversity loss through a deeper understanding of sustainability reporting regulations, transition finance and business transformation. The course promotes green transition by better integration of sustainability consideration into financial decision making through enhanced sustainability reporting regulations. The course is structured into modules integrating the following themes: the twin crises of climate change and biodiversity loss. The objective, structure, and content of the EU Green Deal, transition finance, and the myriads of public policies and private initiatives related to green transition and business transformation; transition versus incremental change enabling and constraining factors for transition the role of industry, the financial system, and policy makers in promoting societal and business transition; the objective, structure, and content of upcoming and launched sustainability reporting regulations and auditing standards including the Corporate Sustainability Reporting Directive (CSRD) and its European Sustainability. Reporting Standards (ESRS), the Omnibus proposal, Corporate Sustainability Due Diligence Directive (CSDDD), Green Claim Directive; and the tension between regulative compliance and business transformation.