Academic year 2023 - 2024

•   AC Drives ELA22SS02-3002 23.10.2023-17.12.2023  3 credits  (ET23D-V) +-
  Competence objectives of the study unit

  The student:
  - knows the main parts of the frequency converter
  - knows the operating principle of the frequency converter
  - knows the commissioning and use of a the frequency converter.

  Prerequisites

  Power Electronics

  Content of the study unit

  - AC motor
  - the frequency converter
  - motor control
  - commissioning / use of frequency converter

  Assessment criteria

  Assessment criteria – satisfactory (1-2)

  Can describe different ways of converting DC voltage to AC voltage.
  Know about different functional principles.
  Know the advantages and disadvantages of using frequency converters.

  Assessment criteria – good (3-4)

  Can describe how to control the size of the AC voltage.
  Can describe the function at different load requirements.
  Can explain the advantages and disadvantages of using electrical connections.

  Assessment criteria – excellent (5)

  Can explain the operation of the control circuits and make calculations at specific loads.
  Master the calculations of losses when using frequency converters.
  Can describe the appearance of harmonics and what this entails and can describe and calculate filter circuits.

  ---

  Person(s) in charge

  Ronnie Sundsten

  Mode of delivery

  Face-to-face

  Learning material

  Facts Worth Knowing about Frequency Converters (Danfoss).
  Manufacturer's information and operating instructions.
  Supplementary material.

  Learning methods

  Lectures
  Practical laboratotry exercises
  Self studies

  Objects, timing and methods of assessment

  Written exam + laboratory report.

  Teaching language

  English

  Timing

  23.10.2023 - 17.12.2023

  Enrollment date range

  15.06.2023 - 22.10.2023

  • 3 credits

  Group(s)

  • ET23D-V

  Teachers and responsibilities

  Jan Berglund

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Energy Technology, Degree Programme in Electrical Engineering and Automation

  Campus

  Vasa, Wolffskavägen 33

  Assessment scale

  H-5

  Alternative methods of attainment for implementation

  Course exam (50 % of course grades) and report from the practical exercises (50 % of course grades).

  Student's schedule and workload

  A total of 81 hours, of which lectures/exam 12 hours and laboratory exercises 24 hours.

  Assessment criteria

  Less than 50% of the total score.

  Assessment criteria – satisfactory (1-2)

  More than 50% of the total score.

  Assessment criteria – good (3-4)

  More than 70% of the total score.

  Assessment criteria – excellent (5)

  More than 90% of the total score.

•   Battery Technology ELA22ED01-3003 29.01.2024-21.04.2024  3 credits  (ET23D-V) +-
  Competence objectives of the study unit

  The student:
  - knows the structure of the battery
  - knows different types of batteries
  - knows the advantages and disadvantages of different battery types
  - knows about energy storage systems with batteries.

  Prerequisites

  No prerequisites

  Content of the study unit

  Basic basic knowledge of battery technology
  Different battery types
  Energy storage system

  Assessment criteria

  Assessment criteria – satisfactory (1-2)

  Know the basic technology.
  Know different battery types.
  Know the concepts that describe the storage ability.
  Understands the whole, from raw material to recycling.

  Assessment criteria – good (3-4)

  Know different battery technologies and their characteristics.
  Know about the pros and cons of different battery types.
  Understands the concepts that describe the pros and cons of different energy storage systems.
  Know the key factors that affect the life span.

  Assessment criteria – excellent (5)

  Is well versed in electrochemical principles and their practical significance.
  Can select the appropriate battery type based on given specifications.
  Can calculate and analyze capacity and charge / and discharge curves.
  Master the whole in theory and practice.

  ---

  Person(s) in charge

  Ronnie Sundsten

  Mode of delivery

  Face-to-face

  Learning material

  Compendium
  Supplementary material.

  Learning methods

  Lectures
  Assignments
  Laboratory work
  Self studies

  Objects, timing and methods of assessment

  Written exam (33.3 % for passing grade, 30 % of course grade).
  Assignments (70 % of the course grade).

  Teaching language

  Timing

  29.01.2024 - 21.04.2024

  Enrollment date range

  30.11.2023 - 28.01.2024

  • 3 credits

  Group(s)

  • ET23D-V

  Teachers and responsibilities

  Tom Lillhonga, Philip Hollins

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Energy Technology

  Campus

  Vasa, Wolffskavägen 33

  Assessment scale

  H-5

  Alternative methods of attainment for implementation

  Written exam and assignments.

  Exam dates and retake possibilities

  The exam is (preliminary) arranged week 8.

  Student's schedule and workload

  A total of 81 hours, of which lectures / exercises 32 hours.

  Assessment criteria

  Less than 33.3 % of the total score.

  Assessment criteria – satisfactory (1-2)

  Grade 1: 33.3 % - 47.2 % of the total score.
  Grade 2: 47.3 % - 61.1 % of the total score.

  Assessment criteria – good (3-4)

  Grade 3: 61.2 % - 74.9 % of the total score.
  Grade 4: 75.0 % - 88.8 % of the total score.

  Assessment criteria – excellent (5)

  More than 88.8 % of the total score.

•   Bio-Economy Innovation ET22EE02-3002 15.01.2024-14.04.2024  3 credits  (ET23D-V, ...) +-
  Competence objectives of the study unit

  Explain the principle of whole crop utilization and the biomass value pyramid
  Describe how biobased plastics and biocomposites alternatives can be used
  Awareness biomass feedstock process pathway(s)
  Differentiate between different forms of biorefinery enterprise
  Utilize the Ansoff matrix in conjunction with biobased business development

  Prerequisites

  No prerequisites.

  Content of the study unit

  This introductory online course consists of a number of interconnected modules that underpin the keys themes and technologies essential for the transition to a more sustainable and bio-economic future.

  Assessment criteria

  Assessment criteria – satisfactory (1-2)

  It will contain basic summaries/descriptions of some of the topics covered and will contain some sense of the student’s learning, but it may be sketchy, disorganised, short, or lacking a sense of progression. While there will be some evidence of understanding, the work will show very limited evidence of critical selection, analysis and reflection.

  Assessment criteria – good (3-4)

  It will show a clear and developing understanding of the concepts and issues addressed in the course, and provide both critical analysis and reflection on the topics of the course. The work will cover the main topics/themes but may draw on supplementary resources as well. There will be clear evidence of the student’s own learning process and of active engagement with the course content.

  Assessment criteria – excellent (5)

  It will not only demonstrate comprehensive and relevant coverage of the course
  material but it will also present substantial analysis, evaluation and synthesis.
  Work in this range will draw on a considerable amount of supplementary resources, take a particularly original approach to reflection, or point out exceptionally insightful or unexpected links between different elements of the course. The work submitted will reflect a persistent and high level of engagement and learning and will demonstrate a cumulative understanding of the course material

  ---

  Person(s) in charge

  Ronnie Sundsten

  Mode of delivery

  Face-to-face

  Teaching language

  English

  Timing

  15.01.2024 - 14.04.2024

  Enrollment date range

  30.11.2023 - 14.01.2024

  • 3 credits

  Group(s)

  • ET23D-V
  • ELA21D-V

  Small group(s)

  • ELA21-E (Size: 30. Open university: 0.)
  • ET23 (Size: 30. Open university: 0.)

  Teachers and responsibilities

  Philip Hollins

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Energy Technology, Degree Programme in Electrical Engineering and Automation

  Campus

  Vasa, Wolffskavägen 33

  Assessment scale

  H-5

•   Combustion Engineering ET22TE01-3002 04.09.2023-03.12.2023  6 credits  (ET23D-V, ...) +-
  Competence objectives of the study unit

  After completing the course, students are expected to have knowledge about the design of production-relevant internal combustion engines. They should master the thermodynamic and combustion technology basics as well as constructive aspects of manufacturing methods, material selection, etc.
  
  Furthermore, students should also have knowledge about emission formation from different diesel and otto processes and knowledge about the methods to reduce the emissions.

  Prerequisites

  No prerequisites.

  Content of the study unit

  PART 1: Internal Combustion Engine - fundamentals
  
  1) Introduction to Engine types
  2) Design and operating parameters
  3) Thermodynamic processes and cycles
  4) Thermochemistry of Fuel-Air mixtures
  5) Gas Exchange processes
  6) Pollutant Formation and Control
  7) Modelling and simulation
  
  PART 2: Combustion Technologies
  
  1) Principles
  - Burning of gaseous-, liquid-, solid fuels

  Assessment criteria

  Assessment criteria – satisfactory (1-2)

  The student knows:
  - different types of engines and working principles
  - the main parts of the combustion engine, gas exchange and combustion.
  - various thermodynamic processes, properties and calculations.
  - how the use of the internal combustion engine in different contexts and disciplines.

  Assessment criteria – good (3-4)

  The student knows how different components and design affect engine performance and emission formation. The student is able to calculate and select significant engine components.

  Assessment criteria – excellent (5)

  The student is able to independently:
  - design different IC engine applications.
  - design technical solutions that affect the combustion engine.
  - Calculate mass forces, torques and vibrations in the internal combustion engine.
  - argue for and present different choices of engines and technical solutions.

  ---

  Person(s) in charge

  Ronnie Sundsten

  Mode of delivery

  Face-to-face

  Teaching language

  English

  Timing

  04.09.2023 - 03.12.2023

  Enrollment date range

  15.06.2023 - 17.09.2023

  • 6 credits

  Group(s)

  • ET23D-V
  • ELA21D-V

  Small group(s)

  • ET23 (Size: 30. Open university: 0.)
  • ELA21-E (Size: 30. Open university: 0.)

  Teachers and responsibilities

  Kaj Rintanen

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Energy Technology, Degree Programme in Electrical Engineering and Automation

  Campus

  Vasa, Wolffskavägen 33

  Assessment scale

  H-5

•   Digital Logic Basics ET22EC03-3002 25.09.2023-19.11.2023  3 credits  (ET23D-V) +-
  Competence objectives of the study unit

  Knowledge and understanding
  After completing the course, the student should be able to:
  - describe how Boolean algebra can be applied in digital circuit contexts
  - analyze and simplify logic circuits
  - describe the difference between digital components and low-level programs
  
  Skills and Abilities
  After completing the course, the student should be able to:
  - plan and realize simple digital circuits
  - use the rules for simplifying circuits
  - create simple low-level programs and macros
  
  Evaluation ability and Approach
  After completing the course, the student should be able to:
  - perform relevant selections of components and logical building blocks
  - justify the choice of digital solution

  Prerequisites

  No prerequisites.

  Content of the study unit

  Number systems, codes and number conversion.
  Logical algebra and gate circuits.
  Logical functions and combinatorics.
  Locking signals.
  Circuit reduction with Karnaugh diagram.
  Digital flip-flops.
  Basics of Assembler programming.

  Assessment criteria

  Assessment criteria – satisfactory (1-2)

  Knowledge about the most basic binary logic and truth tables.
  Knowledge about the most elementary logic circuits and components.
  Knowledge about the basic principles for the design and simulation of simple digital circuits.

  Assessment criteria – good (3-4)

  Is well acquainted with binary logic and truth tables.
  Have a good knowledge of logical circuits, components and their characteristic properties.
  Have a good knowledge of how to design and simulate simple digital circuits.

  Assessment criteria – excellent (5)

  Has an excellent understanding of Boolean logic.
  Has excellent insight into logic circuits, components and their characteristic properties.
  Can independently design and simulate digital circuitry.

  ---

  Person(s) in charge

  Ronnie Sundsten

  Mode of delivery

  Face-to-face

  Teaching language

  English

  Timing

  25.09.2023 - 19.11.2023

  Enrollment date range

  15.06.2023 - 24.09.2023

  • 3 credits

  Group(s)

  • ET23D-V

  Teachers and responsibilities

  Hans Lindén

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Energy Technology, Degree Programme in Electrical Engineering and Automation

  Campus

  Vasa, Wolffskavägen 33

  Assessment scale

  H-5

•   Distributed Energy Systems ET22EE03-3001 08.01.2024-21.04.2024  6 credits  (ET23D-V, ...) +-
  Competence objectives of the study unit

  Knowledge and understanding
  After completing the course, the student should be able to
  - Knows the theory and the principle of distributed energy systems.
  - Understand requirement of electric grid and micro-grid.
  - Understands fundamentals of peak shaving and self-consumption optimization.
  - Work with Modelling tool TRNSYS
  
  Skills and Abilities
  After completing the course, student should be able to:
  - Design Model of energy exchange between building envelope and the surrounding
  - Understand basics skills of control and monitoring systems.
  - Use, describe and visualize facts from existing references documents.
  - Understand safety issues related to distributed energy systems.
  
  Evaluation Ability and Approach
  After completing the course, the student should be able to:
  - Model energy exchange between building envelope and the surrounding using TRNSYS
  - Select relevant technology based on application.

  Prerequisites

  No prerequisites.

  Content of the study unit

  Generation, transmission, distribution and consumption
  Energy Supply Security
  Distributed Power Generations/Smart Grids/Microgrids
  Energy Efficiency/Energy storage
  Introduction to Transient System Simulation Tool (TRNSYS)
  Building Energy simulations

  Assessment criteria

  Assessment criteria – satisfactory (1-2)

  35% – 60% of course work and exam completed

  Assessment criteria – good (3-4)

  60% – 85% of course work and exam completed

  Assessment criteria – excellent (5)

  85% – 100% of course work and exam completed

  ---

  Person(s) in charge

  Ronnie Sundsten

  Mode of delivery

  Face-to-face

  Teaching language

  English

  Timing

  08.01.2024 - 21.04.2024

  Enrollment date range

  30.11.2023 - 07.01.2024

  • 6 credits

  Group(s)

  • ET23D-V
  • ELA22D-V

  Small group(s)

  • ELA22-E (Size: 30. Open university: 0.)
  • ET23 (Size: 30. Open university: 0.)

  Teachers and responsibilities

  Shiva Sharma

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Energy Technology, Degree Programme in Electrical Engineering and Automation

  Campus

  Vasa, Wolffskavägen 33

  Assessment scale

  H-5

•   Energy: Resources, Transfer and Storage ET22TE02-3002 04.09.2023-17.12.2023  6 credits  (ET23D-V, ...) +-
  Competence objectives of the study unit

  Discuss Sankey diagrams with respect to climate change impacts
  Review and evaluate a range of low carbon energy generation technologies
  Appraise the benefits/limitations of developing energy storage solutions
  Describe the challenges of renewable energy and grid distribution infrastructure
  Identify `nudge´ psychology with policy to modify human behavioural patterns

  Prerequisites

  No prerequisites.

  Content of the study unit

  This course focuses on a number of renewable low carbon and rapidly emerging energy storage alternatives. Specifically, those related to the transport and power generation sectors. It will discuss current and future implementation as a means to limit the emissions of GHG’s and thereby mitigate the effects of global warming.

  Assessment criteria

  Assessment criteria – satisfactory (1-2)

  It will contain basic summaries/descriptions of some of the topics covered and will contain some sense of the student’s learning, but it may be sketchy, disorganised, short, or lacking a sense of progression. While there will be some evidence of understanding, the work will show very limited evidence of critical selection, analysis and reflection.

  Assessment criteria – good (3-4)

  It will show a clear and developing understanding of the concepts and issues addressed in the course, and provide both critical analysis and reflection on the topics of the course. The work will cover the main topics/themes but may draw on supplementary resources as well. There will be clear evidence of the student’s own learning process and of active engagement with the course content.

  Assessment criteria – excellent (5)

  It will not only demonstrate comprehensive and relevant coverage of the course
  material but it will also present substantial analysis, evaluation and synthesis.
  Work in this range will draw on a considerable amount of supplementary resources, take a particularly original approach to reflection, or point out exceptionally insightful or unexpected links between different elements of the course. The work submitted will reflect a persistent and high level of engagement and learning and will demonstrate a cumulative understanding of the course material

  ---

  Person(s) in charge

  Ronnie Sundsten

  Mode of delivery

  Face-to-face

  Learning material

  Course documentation is within Moodle together with relevant teaching materials and reference documents

  Learning methods

  Competence objectives of the study unit
  This module familiarises students with a number of renewable low carbon and rapidly emerging energy storage alternatives, specifically, those related to the transport and power generation sectors. It will discuss current and future implementation as a means to limit the emissions of GHG’s and thereby mitigate the effects of global warming.
  
  Areas that will be considered are: National power mix, Intermittency and dispatchability, Sankey diagrams, Solar/Wind - key technologies, SAM Modelling software, Hydropower, Nuclear power, Intro' energy storage- options
  
  Format of delivery
  Lectures, group presentations, group work, self-study, computer classes and study visit(s)
  
  Information and study materials are provided in Moodle for the course

  Objects, timing and methods of assessment

  To complete the course the following criteria are used for evaluation:
  
  
  1. Individual learning diaries
  2. Individual short report
  3. Group SAM model simulation and presentation
  4. Individual review report of group work
  5. Attendance to lectures/study visits
  
  FYI. Grade scale used - modification of EPS

  Teaching language

  English

  Timing

  04.09.2023 - 17.12.2023

  Enrollment date range

  15.06.2023 - 03.09.2023

  • 6 credits

  Group(s)

  • ET23D-V
  • ELA21D-V

  Small group(s)

  • ET23 (Size: 30. Open university: 0.)
  • ELA21-E (Size: 30. Open university: 0.)

  Teachers and responsibilities

  Philip Hollins

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Energy Technology, Degree Programme in Electrical Engineering and Automation

  Campus

  Vasa, Wolffskavägen 33

  Assessment scale

  H-5

  Student's schedule and workload

  6 ETCS = 162 hours
  
  Contact teaching and computer classes approx ~ 30 hr
  Study visits ~4hr
  Independent (and group) studying and preparation ~128 hr

  Assessment criteria

  <50% of the maximum number of credits earned in the assignments

  Assessment criteria – satisfactory (1-2)

  50-59% (=1) or 60-69% (=2) of the maximum number of credits earned in the assignments respectively

  Assessment criteria – good (3-4)

  70-79% (=3) or 80-89% (=4) of the maximum number of credits earned in the assignments respectively

  Assessment criteria – excellent (5)

  90-100% (=5) of the maximum number of credits earned in the assignments respectively

•   Fundamentals of Electrical Energy ET22TE03-3002 04.09.2023-29.10.2023  3 credits  (ET23D-V) +-
  Competence objectives of the study unit

  The student:
  - knows the basics in electrical engineering
  - knows the terminology that's needed for the course AC Drives
  - knows the basic mathematics for calculating electrical circuits

  Prerequisites

  No prerequisites.

  Content of the study unit

  - DC circuits
  - AC circuits
  - three phase alternating current
  - effect calculations
  - transformers
  - motors / generators
  - electrical safety

  Assessment criteria

  Assessment criteria – satisfactory (1-2)

  Know how power sources and resistors works in a circuit.
  Can calculate currents and voltages in simple DC and AC circuits.
  Knows the relationship between active, reactive and apparent power.
  Can describe the structure and properties of the transformer.
  Can describe the construction and characteristics of DC motors.

  Assessment criteria – good (3-4)

  Can calculate serial and parallel connections in resistive, inductive and capacitive circuits.
  Masters the calculation of the power of simple series and parallel circuits.
  Understands the principle of a symmetrical three-phase system
  Can describe the function of transformers.
  Can describe the basic functions of AC motors and generators.

  Assessment criteria – excellent (5)

  Can calculate current and voltage in combined series and parallel connections of resistors, inductors and capacitors.
  Knows the principles for power adjustment and phase compensation.
  Can calculate voltages and currents in Y- and D-connected symmetrical three-phase systems.
  Can describe the function of three phase transformers.
  Can perform AC motor calculations e.g. efficiency, torque and effect.

  ---

  Person(s) in charge

  Ronnie Sundsten

  Mode of delivery

  Face-to-face

  Learning material

  Compendium
  Supplementary material.

  Learning methods

  Lectures
  Calculation exercises
  Self studies

  Objects, timing and methods of assessment

  Written exam, at least 33.3 % for approved course grade. (50 % calculation tasks, 50 % theory tasks in the exam).
  No own material allowed at the exam.
  Preparatory exam, can raise the calculation part of the exam (only) at approved course exam (does not apply at re-takes).

  Teaching language

  English

  Timing

  04.09.2023 - 29.10.2023

  Enrollment date range

  15.06.2023 - 03.09.2023

  • 3 credits

  Group(s)

  • ET23D-V

  Teachers and responsibilities

  Matts Nickull

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Energy Technology, Degree Programme in Electrical Engineering and Automation

  Campus

  Vasa, Wolffskavägen 33

  Assessment scale

  H-5

  Alternative methods of attainment for implementation

  Written exam (and preparatory exam).

  Exam dates and retake possibilities

  The exam is arranged week 43.

  Student's schedule and workload

  A total of 81 hours, of which lectures / calculation exercises 36 hours (weeks 36 - 43).

  Assessment criteria

  Less than 33.3% of the total points.

  Assessment criteria – satisfactory (1-2)

  Rating 1: 33.3 % - 47.2 % of total points.
  Rating 2: 47.3 % - 61.1 % of total points.

  Assessment criteria – good (3-4)

  Rating 3: 61.2 % - 74.9 % of the total points.
  Rating 4: 75.0 % - 88.8 % of total points.

  Assessment criteria – excellent (5)

  More than 88.8 % of the total points.

•   Internet of Things ET22EC06-3002 12.02.2024-28.04.2024  6 credits  (ET23D-V, ...) +-
  Competence objectives of the study unit

  Knowledge and understanding
  After completing the course, the student should be able to:
  - explain the advantages of using IoT solutions
  - define the need for IoT solutions in applications
  
  Skills and Abilities
  After completing the course, the student should be able to:
  - create simple Node-Red applications
  - communicate using Wireless communication
  - optimize the availability of data using Cloud services
  - analyze the needs for Smart home solutions
  
  Evaluation Ability and Approach
  After completing the course, the student should be able to:
  - select relevant technology based on application
  - justify the choice of technology in IoT applications

  Prerequisites

  No prerequisites

  Content of the study unit

  Introduction and Raspberry PI
  What is IoT and the future
  Getting to know Raspberry PI: Installation, Node-red, Dashboard, MQTT
  One hands on exercise (Node-Red and MQTT)
  
  Wireless technology
  Overview of the wireless technology used today: Bluetooth, Wifi, LoraWAN (and Sigfox), NB IoT with 4G and 5G cellular network
  How to connect LoraWAN sensors. LoraWAN commercial network from Digita (national network) and global open network from The Things Network.
  Make your own IoT sensor with ESP32 and DS18B20, a battery powered temperature sensor with Wifi.
  3 Hands on exercises (Bluetooth & Wifi, LoraWAN and ESP32)
  
  Cloud services for IoT
  Basic overview
  Azure and/or AWS
  One hands on exercise
  
  Smart home
  Using cloud services and Raspberry Pi to control and measuring your home.
  Using voice control with smart speakers from Amazon and Google.
  One hands on exercise

  ---

  Person(s) in charge

  Ronnie Sundsten

  Mode of delivery

  Face-to-face

  Learning material

  Lecture slides

  Learning methods

  Shorter theory briefings accompanied by hands on tasks that are partly solved during the scheduled time slots and partly at home. Tasks are done in groups of two persons.

  Objects, timing and methods of assessment

  All task solutions and documentation of the tasks are gathered into a portfolio. The portfolio is graded. There is no exam.

  Teaching language

  English

  Timing

  12.02.2024 - 28.04.2024

  Enrollment date range

  30.11.2023 - 25.02.2024

  • 6 credits

  Group(s)

  • ET23D-V
  • ELA22D-V

  Small group(s)

  • ELA22-E (Size: 40. Open university: 0.)
  • ET23 (Size: 40. Open university: 0.)

  Teachers and responsibilities

  Hans Lindén

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Energy Technology, Degree Programme in Electrical Engineering and Automation

  Campus

  Vasa, Wolffskavägen 33

  Assessment scale

  H-5

  Assessment criteria

  Less than 50% of the tasks have been solved and documented.

  Assessment criteria – satisfactory (1-2)

  In Between 50% and 69% of the tasks have been solved and documented.

  Assessment criteria – good (3-4)

  In Between 70% and 89% of the tasks have been solved and documented.

  Assessment criteria – excellent (5)

  90% or more of the tasks have been solved and documented.

•   Microcontroller Techniques ET22EC05-3002 18.03.2024-28.04.2024  3 credits  (ET23D-V, ...) +-
  Competence objectives of the study unit

  Knowledge and understanding
  After completing the course, the student should be able to:
  - explain the difference between low-level and high-level programmed microcontroller-based systems
  - define the need for register configuration based on application
  - define the need for Interrupt functionality based on application
  - describe the advantages and disadvantages of microcontroller-based systems based on application
  
  Skills and Abilities
  After completing the course, the student should be able to:
  - create interactive microcontroller-based applications
  - optimize performance using interrupt routines
  - use, describe and visualize facts from existing reference documents
  - communicate with external equipment
  
  Evaluation Ability and Approach
  After completing the course, the student should be able to:
  - perform relevant choices of methodology in the design of application
  - justify the choice of program and register structure
  - select relevant technology based on application

  Prerequisites

  Digital logic basics
  Practical Boolean control

  Content of the study unit

  The structure of the microcontroller
  
  High level programming in C
  - Embedded functions and techniques
  
  Interrupt controlled functions:
  - Timers
  - A/D conversion
  - Communication

  Assessment criteria

  Assessment criteria – satisfactory (1-2)

  Possesses basic knowledge of the microcontroller and its function and structure.
  Possesses basic knowledge of programming in microcontroller environments.

  Assessment criteria – good (3-4)

  Is well acquainted with the function and structure of microprocessors.
  Have a good knowledge of how to program microcontroller-based systems.
  Is well acquainted with the use of interrupted routines.

  Assessment criteria – excellent (5)

  Has excellent insight into the function and structure of microprocessors.
  Capability of independent creation of applications for microcontroller-based systems.
  Recognizes the importance of the reference documentation and possesses the ability to create functionality with its help.
  Includes innovative solutions in the assignments.

  ---

  Person(s) in charge

  Ronnie Sundsten

  Mode of delivery

  Face-to-face

  Learning material

  Course compendium
  Supplementary material
  Reference document (ATmega644P)

  Learning methods

  Lectures/Supervised teaching
  Laboratory
  Self studies

  Objects, timing and methods of assessment

  The course is assessed according to the results of the laboratory assignment and associated documentation.

  Teaching language

  English

  Timing

  18.03.2024 - 28.04.2024

  Enrollment date range

  30.11.2023 - 17.03.2024

  • 3 credits

  Group(s)

  • ET23D-V
  • ELA22D-V

  Small group(s)

  • ELA22-E (Size: 30. Open university: 0.)
  • ET23 (Size: 30. Open university: 0.)

  Teachers and responsibilities

  Roger Mäntylä

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Energy Technology, Degree Programme in Electrical Engineering and Automation

  Campus

  Vasa, Wolffskavägen 33

  Assessment scale

  H-5

  Alternative methods of attainment for implementation

  No alternative methods of performance. Requires presence due to access to laboratory equipment.

  Exam dates and retake possibilities

  Course examination one week after completion of the course.
  The course examination consists of submitted portfolio documentation.

  Internationa connections

  The laboratory tasks and their documentation is carried out in class and outside lecture hours.

  Content scheduling

  Weeks 13-17

  Assessment criteria

  Less than 40% of the course credits.

  Assessment criteria – satisfactory (1-2)

  40% - 63% of the course credits.

  Assessment criteria – good (3-4)

  64% - 87% of the course credits.

  Assessment criteria – excellent (5)

  At least 88% of the course credits.

•   Modeling and Optimization of Energy Systems ET22ED02-3002 08.01.2024-17.03.2024  3 credits  (ET23D-V, ...) +-
  Competence objectives of the study unit

  Students will learn relevant modeling and optimization skills and apply them to energy system planning problems.
  The course focuses on both theory and use of software.

  Prerequisites

  No prerequisites.

  Content of the study unit

  - Modeling technical and economic considerations as optimization problems
  - Learning to model and solve certain types of optimization problems using software
  - Using Matlab, Excel and specialized software to perform calculations and present results

  Assessment criteria

  Assessment criteria – satisfactory (1-2)

  35% – 60% of course work and exam completed

  Assessment criteria – good (3-4)

  60% – 85% of course work and exam completed

  Assessment criteria – excellent (5)

  85% – 100% of course work and exam completed

  ---

  Person(s) in charge

  Ronnie Sundsten

  Mode of delivery

  Face-to-face

  Learning material

  Shared documents with theory and exercises
  Software tutorial materials
  Course literature

  Learning methods

  Lectures
  Computer lab sessions
  Home assignments and small projects

  Objects, timing and methods of assessment

  Homework assignments
  Project work
  Exam

  Teaching language

  English

  Timing

  08.01.2024 - 17.03.2024

  Enrollment date range

  30.11.2023 - 07.01.2024

  • 3 credits

  Group(s)

  • ET23D-V
  • ELA22D-V

  Small group(s)

  • ELA22-E (Size: 40. Open university: 0.)
  • ET23 (Size: 40. Open university: 0.)

  Teachers and responsibilities

  Anders Skjäl

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Energy Technology, Degree Programme in Electrical Engineering and Automation

  Campus

  Vasa, Wolffskavägen 33

  Assessment scale

  H-5

  Exam dates and retake possibilities

  An exam scheduled during normal lecture hours towards the end of the course.

  Student's schedule and workload

  Lectures 36 h
  Home assignments and projects 25 h
  Self studies 20 h

  Assessment criteria

  Assessment criteria – satisfactory (1-2)

  35% – 60% of course work and exam completed

  Assessment criteria – good (3-4)

  60% – 85% of course work and exam completed

  Assessment criteria – excellent (5)

  85% – 100% of course work and exam completed

•   Practical Boolean Control ET22EC04-3002 05.02.2024-24.03.2024  3 credits  (ET23D-V) +-
  Competence objectives of the study unit

  Knowledge and understanding
  After completing the course, the student should be able to:
  - describe how Boolean gates are applied in digital circuit contexts
  - analyze and simplify Boolean logic circuits
  - explain the function of Flip-Flops
  
  Skills and Abilities
  After completing the course, the student should be able to:
  - plan and realize a digital circuit with Boolean design
  - re-design and simplify combinatorial circuits
  - develop a stand-alone solution in a PLC environment
  
  Evaluation ability and Approach
  After completing the course, the student should be able to:
  - perform relevant selections of Boolean components, logical building blocks and PLC program structures
  - justify the choice of logical functions of a digital solution (circuit or PLC program)

  Prerequisites

  Digital technology

  Content of the study unit

  Boolean design with logical circuits
  Boolean design with PLC

  Assessment criteria

  Assessment criteria – satisfactory (1-2)

  Possesses the ability to create a relevant structural solution to the problem.

  Assessment criteria – good (3-4)

  Possesses the ability to realize a solution model that is mostly functional.

  Assessment criteria – excellent (5)

  Possesses the ability to create a fully functioning solution model that, to some extent, has its own innovative elements.

  ---

  Person(s) in charge

  Ronnie Sundsten

  Mode of delivery

  Face-to-face

  Learning material

  Online literature

  Learning methods

  Laboratory assignment

  Objects, timing and methods of assessment

  The course assessment is based on the laboratory assignment and associated documentation.

  Teaching language

  English

  Timing

  05.02.2024 - 24.03.2024

  Enrollment date range

  30.11.2023 - 04.02.2024

  • 3 credits

  Group(s)

  • ET23D-V

  Teachers and responsibilities

  Roger Mäntylä

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Energy Technology, Degree Programme in Electrical Engineering and Automation

  Campus

  Vasa, Wolffskavägen 33

  Assessment scale

  H-5

  Alternative methods of attainment for implementation

  No alternative methods of performance.

  Exam dates and retake possibilities

  Submission of laboratory assignment according to given deadline.

  Student's schedule and workload

  The laboratory task and its documentation is carried out as self studies.

  Content scheduling

  w. 6-12

  Assessment criteria

  Less than 40% of the course credits.

  Assessment criteria – satisfactory (1-2)

  40% - 63% of the course credits.

  Assessment criteria – good (3-4)

  64% - 87% of the course credits.

  Assessment criteria – excellent (5)

  At least 88% of the course credits.

•   Project Management ET22EE01-3002 08.01.2024-21.04.2024  5 credits  (ET23D-V, ...) +-
  Competence objectives of the study unit

  The student knows Basic Project Management terminology and knowledge areas.
  Furthermore the student is familiar with central documents and elements required in
  project management, such as a project plan, time schedule, budget and a risk assessment
  matrix. The student understands the basic principles of project management.

  Prerequisites

  No prerequisites.

  Content of the study unit

  Basic terminology in PM, PM
  Knowledge areas (PMBoK), basics
  Documentation for a project

  Assessment criteria

  Assessment criteria – satisfactory (1-2)

  The student is able, with guidance, to utilize the methods learnt during the study unit.

  Assessment criteria – good (3-4)

  The student is able to utilize the methods learnt during the study unit independently.

  Assessment criteria – excellent (5)

  The student is able to utilize the methods learnt during the study unit independently and is able apply the learnt knowledge in new contexts.

  ---

  Person(s) in charge

  Ronnie Sundsten

  Mode of delivery

  Face-to-face

  Teaching language

  English

  Timing

  08.01.2024 - 21.04.2024

  Enrollment date range

  30.11.2023 - 07.01.2024

  • 5 credits

  Group(s)

  • ET23D-V
  • ELA21D-V

  Small group(s)

  • ELA21-E (Size: 30. Open university: 0.)
  • ET23 (Size: 30. Open university: 0.)

  Teachers and responsibilities

  Philip Hollins

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Energy Technology, Degree Programme in Electrical Engineering and Automation

  Campus

  Vasa, Wolffskavägen 33

  Assessment scale

  H-5

•   Sustainability in Engineering Solutions ET22EC01-3002 04.09.2023-17.12.2023  6 credits  (ET23D-V, ...) +-
  Competence objectives of the study unit

  In this introductory module, students will develop their skill set and knowledge for a range of sustainable solutions and decision-making in engineering, as well as in Life Cycle Assessment in engineering.

  Prerequisites

  No prerequisites.

  Content of the study unit

  Introduction to Sustainable Development
  Circular Economy
  Sustainable approach
  System Analysis
  Transitional Solutions
  Basics of Life Cycle Assessments theory and practice (SimaPro)
  Sustainable Energy Solutions
  Other challenges

  Assessment criteria

  Assessment criteria – satisfactory (1-2)

  35% – 60% of course work and exam completed

  Assessment criteria – good (3-4)

  60% – 85% of course work and exam completed

  Assessment criteria – excellent (5)

  85% – 100% of course work and exam completed

  ---

  Person(s) in charge

  Ronnie Sundsten

  Mode of delivery

  Face-to-face

  Learning material

  Course documentation is within Moodle together with relevant teaching materials and reference documents

  Learning methods

  Competence objectives of the study unit
  This module familiarises engineers with the principles of sustainability within the global, national and local context.
  
  Areas that will be considered are: Sustainably Development Goals (SDG's), Environmental Impact Assessment (EIA), Circular Economy, Waste to Energy (Wte) and Lifecycle Analysis (LCA) modelling
  
  Format of delivery
  Lectures, presentations, group work, self-study and computer classes and study visit
  
  Information and study materials are provided in Moodle for the course

  Objects, timing and methods of assessment

  To complete the course the following criteria are used for evaluation:
  
  1. Group Presentation
  2. Directed study
  3. Multichoice exam
  4. Video production
  5. Reports + calculation
  
  
  FYI. Grade scale used - modification of EPS

  Teaching language

  English

  Timing

  04.09.2023 - 17.12.2023

  Enrollment date range

  15.06.2023 - 03.09.2023

  • 6 credits

  Group(s)

  • ET23D-V
  • ELA21D-V

  Small group(s)

  • ET23 (Size: 30. Open university: 0.)
  • ELA21-E (Size: 30. Open university: 0.)

  Teachers and responsibilities

  Philip Hollins

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Energy Technology, Degree Programme in Electrical Engineering and Automation

  Campus

  Vasa, Wolffskavägen 33

  Assessment scale

  H-5

  Student's schedule and workload

  6 ETCS = 162 hours
  
  Contact teaching and computer classes approx ~ 30 hr
  Study visit ~4hr
  Independent (and group) studying and preparation ~128 hr

  Assessment criteria

  <50% of the maximum number of credits earned in the assignments

  Assessment criteria – satisfactory (1-2)

  50-59% (=1) or 60-69% (=2) of the maximum number of credits earned in the assignments respectively

  Assessment criteria – good (3-4)

  70-79% (=3) or 80-89% (=4) of the maximum number of credits earned in the assignments respectively

  Assessment criteria – excellent (5)

  90-100% (=5) of the maximum number of credits earned in the assignments respectively

•   Thesis Management ET22EE04-3002 20.11.2023-10.12.2023  1 credits  (ET23D-V) +-
  Competence objectives of the study unit

  The student understands the basic principles of a Thesis project.

  Prerequisites

  No prerequisites.

  Content of the study unit

  Basic terminology

  Assessment criteria

  Assessment criteria – satisfactory (1-2)

  The student is able, with guidance, to utilize the methods learnt during the study unit.

  Assessment criteria – good (3-4)

  The student is able to utilize the methods learnt during the study unit independently.

  Assessment criteria – excellent (5)

  The student is able to utilize the methods learnt during the study unit independently and is able apply the learnt knowledge in new contexts.

  ---

  Person(s) in charge

  Ronnie Sundsten

  Mode of delivery

  Face-to-face

  Learning material

  Novia guidelines/instruction can be found at: https://novia.libguides.com/c.php?g=265383&p=1774293
  Moodle course will provide further links and instruction

  Learning methods

  Competence objectives of the study unit
  The objective of the course is to prepare students for their upcoming thesis by increasing their awareness of the requirements and equipping them with the tools for successful submission
  
  Content of the study unit
  Student writing/presentation/group discussion based on previous thesis examples
  
  Format of delivery
  Lectures, presentations and self-study
  Information and study materials are provided in Moodle for the course

  Objects, timing and methods of assessment

  To complete the course the following criteria are used for evaluation:
  
  1. Submission of directed study work (weighted at 30%)
  2. Attendance of in-class sessions (weighted at 20%)
  3. Submission of two short review reports (weighted at 50%)
  
  The short review reports, will be Graded 1-5.

  Teaching language

  English

  Timing

  20.11.2023 - 10.12.2023

  Enrollment date range

  15.06.2023 - 19.11.2023

  • 1 credits

  Group(s)

  • ET23D-V

  Teachers and responsibilities

  Philip Hollins

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Energy Technology, Degree Programme in Electrical Engineering and Automation

  Campus

  Vasa, Wolffskavägen 33

  Assessment scale

  H-5

  Student's schedule and workload

  1 ETCS = 27 hours
  
  Contact teaching 6 h
  Independent studying and preparation 21 h
  Total 27 h

  Assessment criteria

  None submission of directed study work (Grade 0)
  None attendance of in-class sessions (Grade 0)
  Poor/None submission of two short review reports (Grade 0)

  Assessment criteria – excellent (5)

  Full submission of directed study work (Grade 5)
  Full attendance of in-class sessions (Grade 5)
  Excellent/Full submission of two short review reports (Grade 5)

  Approved / Failed

  Both complete/satisfactory submission of all course work and full attendance of class sessions within the allocated time --> Approved.
  
  If neither submission nor attendance is complete/full within the allocated time --> Not Approved

•   Transformers ELA22EA02-3001 01.01.2024-25.02.2024  3 credits  (ELA22D-V) +-
  Competence objectives of the study unit

  The student:
  - knows and understands the use and need of transformers of various kinds
  - is able to understand and explain the basic functions of different types of transformers
  - is able to calculate losses, voltage drops and efficiency of transformers
  - knows and understands the functions of different peripherals.

  Prerequisites

  Electric and magnetic fields.

  Content of the study unit

  Magnetic circuits.
  Application of magnetic circuits for different types of transformers.
  Basic functions and connections for transformers.
  Calculation of losses, voltage drops and efficiency of transformers.
  Single-phase transformers
  Three-phase transformers
  Special transformers
  Instrument transformers

  Assessment criteria

  Assessment criteria – satisfactory (1-2)

  Knows the significance of transformers historically and in the present.
  Can describe the structure and properties of the transformer in an electrical grid.
  Can describe three-phase transformer connections.
  Can name and explain the principle for different special transformers.
  Can calculate voltage drop in single phase and three phase transformers

  Assessment criteria – good (3-4)

  Can describe the function of transformers with physical grounding.
  Can calculate voltage drops and losses under load.
  Can calculate voltage drop and efficiency at different loads.
  Can describe the operating principles for eg. spark-coupled transformers.

  Assessment criteria – excellent (5)

  Master the relationships between electrical quantities in the operation of transformers.
  Master different ways of describing and calculating transformer equivalent schemes.
  Can calculate and describe transformer coupling index and turnover for different couplings.
  Can describe and calculate important limiting data for current transformers

  ---

  Person(s) in charge

  Ronnie Sundsten

  Mode of delivery

  Face-to-face

  Learning material

  Compendiums, degree projects and info from transformer manufacturers.
  Info and links are available in Moodle for the course.

  Learning methods

  Lectures, calculations, laboratory work and self-study.
  Information and study material are presented in Moodle for the course.

  Objects, timing and methods of assessment

  The main basis for the grade in the course is determined by the points in the course test. The course test consists of questions that are answered in writing and calculations. (Max 40 points). The laboratory work and the reports are assessed. (Max 20 points)

  Teaching language

  Swedish

  Timing

  01.01.2024 - 25.02.2024

  Enrollment date range

  30.11.2023 - 07.01.2024

  • 3 credits

  Group(s)

  • ELA22D-V

  Small group(s)

  • ELA22-K (Size: 30. Open university: 0.)

  Teachers and responsibilities

  Ronnie Sundsten

  Responsible unit

  Faculty of Technology and Seafaring

  Degree Programme(s)

  Degree Programme in Energy Technology, Degree Programme in Electrical Engineering and Automation

  Campus

  Vasa, Wolffskavägen 33

  Assessment scale

  H-5

  Alternative methods of attainment for implementation

  Assessment of assignments, laboratory work, laboratory reports and theoretical tests.

  Exam dates and retake possibilities

  The time for the joint exam and any extra exam is determined in agreement with the students during the course. Lessons in class and laboratory sessions according to the established schedule in Peppi. Laboratory reports are submitted within two weeks of each laboratory.

  Student's schedule and workload

  A total of 81 hours divided into lessons in class (22h), laboratory sessions (16h), self-study and preparation of laboratory reports.

  Content scheduling

  Theory during weeks 1-8, Laboratory work during weeks 5-8.

  Assessment criteria

  Less than 30% of the total points in the test or omitted laboratory reports.

  Assessment criteria – satisfactory (1-2)

  Grade 1: 30 - 39% of the total points
  Grade 2: 40 - 52% of the total points

  Assessment criteria – good (3-4)

  Grade 3: 53 - 72% of the total points
  Grade 4: 73 - 86% of the total points

  Assessment criteria – excellent (5)

  Grade 5: 87 - 100% of the total points

Academic year 2024 - 2025

There is no implementations attached to this degree programme.