Engineering

As industries worldwide transition toward sustainable practices, this course provides an introduction to the intersection of sustainability and Industry 4.0. It focuses on the design and development of innovative products and services with the tools to link emerging technologies with ecological responsibility. By combining theoretical foundations with hands-on project work, the course equips students to understand how emerging technologies — including digital modeling, artificial intelligence, Internet of Things (IoT), renewable energy, and advanced materials — can be leveraged to address pressing environmental and societal challenges. The course centers on Sustainable Prototype Challenge, in which students working in teams design a forward-looking product or service concepts. Through intensive assignments and workshops, participants apply principles of sustainable development, user-centered design, and technology-driven workflows to create a coherent final project. Deliverables include both a project prospectus and demonstrative materials (e.g., diagrams, mock-ups, or digital prototypes) that communicate the innovation’s environmental, functional, and social contributions, as well as feasibility. Students reinforce their learning through lectures, group critiques, and interdisciplinary collaboration. The course actively integrates perspectives from engineering, business, and design, preparing students to work across disciplines. In addition to gaining technical and creative skills, participants strengthen critical thinking, problem-solving, and communication abilities that are transferable to professional contexts.

This course gives students an overview of physical and chemical treatment systems for water and wastewater.

The course aims are to describe water and wastewater sources; explain the characteristics of water and wastewater (physical, chemical, and biological parameters); provide an overview of both national and international regulatory frameworks governing drinking water and wastewater management; discuss the fundamental principles of physical and chemical processes for water and wastewater treatment, and water reclamation; introduce water treatment processes including coagulation and flocculation, sedimentation, filtration, adsorption, disinfection, softening, and membrane filtration.

This course provides a foundational understanding of sustainability and circular economy principles, enabling critically assessment of environmental challenges and exploring solutions that promote long-term sustainability. The course fosters a systems-thinking approach and encourages responsible decision-making in various professional and everyday contexts by highlighting sustainability's interdisciplinary nature and its relevance across different sectors. Course topics include an introduction to sustainability, Sustainable Development Goals (SDGs), circular economy principles, life cycle thinking and environmental impact, sustainable materials and design strategies, sustainable energy and resource management, and the challenges and implementation of circular economy.

This course covers basic and advanced techniques for manipulating and controlling laser light and laser pulses. This involves controlling intensity, frequency distribution, temporal profiles in order to design advanced optical systems for specialized tasks in industry as well as research. The course covers the following topics: Light propagation in anisotropic materials; Acusto-optical effects and modulators; electro-optical effects and modulators, non-linear interaction between light and matter; ultrafast optics, propagation of short laser pulses in dispersive non-linear media; and basic laser safety. Assumed prior knowledge: Basic Physics, Mathematics and Optics.

This course treats the fundamental aspects of crystal growth, e.g. the thermodynamic prerequisites for crystal growth such as chemical potential, construction of binary phase diagrams, supersaturation, and nucleation. Further on, surface energies, surface diffusion, and Wulff’s theorem are studied. In the course section on epitaxial growth surface reconstructions, lattice mismatch, and dislocations, as well as characterization – both in- and ex-situ are discussed. Growth techniques and reactor models are also dealt with. During the course, the various moments are illuminated by examples from modern research, especially research on epitaxy of nanostructures. Assumed prior knowledge: FFFF11 Processing and Device Technology, a basic course in thermodynamics and materials science.

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.

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 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 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.

This course provides knowledge about the most important power electronic circuit configurations, including both power semiconductors and passive components like inductors and capacitors in addition to how modulation and current control is done in the most relevant circuits. The course includes a project to design a power electronic circuit with a specific set of functional specifications. Participants develop and verify (electrically and thermally) a power electronic converter for a low power application like an electric scooter or bicycle motor drive. The battery supply and the motor are given, but the power electronic converter with its modulation and control are developed as a part of the course. Topics include diodes, transistors (BJT, IGBT, MOSFET), materials (silicon, silicon carbide), inductors, capacitors, sensors (current, voltage). Function, mechanical and thermal design, aging, drive and protection circuits, various bridges such as 1Q, 2Q and 3-phase 2- and multi-level converters, parasitic components, load currents, and earth currents, carrier modulation, sampled current control, tolerance band control of current, voltage control, switching power supplies, motor drive systems for DC and AC motors, solar cell converters, electric vehicle chargers, "Unified Power Flow Controllers" (UPFC), active power filters, and high voltage direct current (HVDC). Assumed prior knowledge: ESSF01 Analogue Circuits, ESS030, ESSF20 Physics of Devices, ESSF15 Electrical Engineering (EE) or MIE012, EIEF35 Electrical Engineering, basic course (ME) and FRT010, FRTF05 Automatic Control, Basic Course.