Degree Programme in Energy Technology

Degree Programme in Energy Technology
Bachelor of Engineering, 240 ECTS

Academic year 2022 - 2023

AC Drives ELA22SS02-3001 24.10.2022-18.12.2022 3 credits (ET22D-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

Swedish

Timing

24.10.2022 - 18.12.2022

Enrollment date range

15.06.2022 - 30.10.2022
- 3 credits
Group(s)
- ET22D-V
Small group(s)
- DDE (Size: 20. Open university: 0.)
- ET120 (Size: 20. Open university: 0.)
Teachers and responsibilities

Henrik Järveläinen

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 ELA22ED01-3002 23.01.2023-12.03.2023 3 credits (ET22D-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

Roger Mäntylä

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

23.01.2023 - 12.03.2023

Enrollment date range

01.12.2022 - 23.01.2023
- 3 credits
Group(s)
- ET22D-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 5.

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 ET22EE02-3001 16.01.2023-26.02.2023 3 credits (ET22D-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

Roger Mäntylä

Mode of delivery

Face-to-face

Teaching language

English

Timing

16.01.2023 - 26.02.2023

Enrollment date range

01.12.2022 - 16.01.2023
- 3 credits
Group(s)
- ET22D-V
- ELA21D-V
- ELA20D-V
Small group(s)
- ET22 (Size: 30. Open university: 0.)
- ELA20-E (Size: 50. Open university: 0.)
- ELA21-E (Size: 50. 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

Assessment scale

H-5
Combustion Engineering ET22TE01-3001 05.09.2022-18.12.2022 6 credits (ET22D-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

05.09.2022 - 18.12.2022

Enrollment date range

15.06.2022 - 11.09.2022
- 6 credits
Group(s)
- ET22D-V
- ELA20D-V
Small group(s)
- ELA20-V-E (Size: 20. Open university: 0.)
- DDE (Size: 20. Open university: 0.)
- ET120 (Size: 20. 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
Core studies in Engineering at the Home University ET22CO02-3001 01.01.2023-31.07.2024 120 credits (ET22D-V) +-
Competence objectives of the study unit

The student has sufficient academic performance

Prerequisites

Inga förkunskapskrav

Content of the study unit

Previous studies at the home university

Mode of delivery

Face-to-face

Teaching language

English

Timing

01.01.2023 - 31.07.2024

Enrollment date range

02.12.2022 - 31.12.2022
- 120 credits
Group(s)
- ET22D-V
Teachers and responsibilities

Roger Mäntylä, Ronnie Sundsten

Responsible unit

Faculty of Technology and Seafaring

Degree Programme(s)

Degree Programme in Energy Technology

Campus

Vasa, Wolffskavägen 33

Assessment scale

H-5
Digital Logic Basics ET22EC03-3001 26.09.2022-13.11.2022 3 credits (ET22D-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

26.09.2022 - 13.11.2022

Enrollment date range

15.06.2022 - 26.09.2022
- 3 credits
Group(s)
- ET22D-V
Small group(s)
- DDE (Size: 25. Open university: 0.)
- ET120 (Size: 25. 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
Double Degree Core studies in Engineering at the Home University ET22CO01-3002 01.01.2023-31.07.2024 165 credits (ET22D-V) +-
Competence objectives of the study unit

The student has sufficient academic performance

Prerequisites

Inga förkunskapskrav

Content of the study unit

Previous studies at the home university

Mode of delivery

Face-to-face

Teaching language

English

Timing

01.01.2023 - 31.07.2024

Enrollment date range

02.12.2022 - 31.12.2022
- 165 credits
Group(s)
- ET22D-V
Teachers and responsibilities

Roger Mäntylä, 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
Energy: Resources, Transfer and Storage ET22TE02-3001 05.09.2022-18.12.2022 6 credits (ET22D-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

05.09.2022 - 18.12.2022

Enrollment date range

15.06.2022 - 11.09.2022
- 6 credits
Group(s)
- ET22D-V
- ELA20D-V
Small group(s)
- ELA20-V-E (Size: 25. Open university: 0.)
- DDE (Size: 25. Open university: 0.)
- ET120 (Size: 25. 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 ET22TE03-3001 05.09.2022-30.10.2022 3 credits (ET22D-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

05.09.2022 - 30.10.2022

Enrollment date range

15.06.2022 - 11.09.2022
- 3 credits
Group(s)
- ET22D-V
Small group(s)
- DDE (Size: 20. Open university: 0.)
- ET120 (Size: 20. Open university: 0.)
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 ET22EC06-3001 13.02.2023-30.04.2023 6 credits (ET22D-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

Roger Mäntylä

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

13.02.2023 - 30.04.2023

Enrollment date range

01.12.2022 - 21.02.2023
- 6 credits
Group(s)
- ET22D-V
- ELA21D-V
- ELA20D-V
Seats

0 - 20
Small group(s)
- ET22 (Size: 30. Open university: 0.)
- ELA20-E (Size: 30. Open university: 0.)
- ELA21-E (Size: 30. 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.
Internship 1 ET22IN01-3001 01.01.2023-31.07.2024 15 credits +-
Competence objectives of the study unit

Internship at the home university

Prerequisites

Inga förkunskapskrav

Content of the study unit

Internship at the home university

Person(s) in charge

Roger Mäntylä

Mode of delivery

Face-to-face

Teaching language

English

Timing

01.01.2023 - 31.07.2024

Enrollment date range

01.07.2024 - 30.07.2024
- 15 credits
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 31

Assessment scale

H-5
Internship 2 ET22IN02-3001 01.01.2023-31.07.2024 15 credits +-
Competence objectives of the study unit

-students have come into contact with the future work environment
-students have performed such tasks that belong to their own industry and their own field of education.
-students have gained insight into what the future professional role may include and as the studies progress this awareness increases
-students have gradually gained more depth and / or experience of various activities in the working life as the studies progress.
-students can translate the practical experiences the practice provides within the theoretical studies
-students develop professional knowledge through practice
-students have made contacts with the working life

Prerequisites

Inga fökunskapskrav

Content of the study unit

Information search and preparation
Contact to company, applying for internship
Work at the internship
Reports

Person(s) in charge

Roger Mäntylä

Mode of delivery

Face-to-face

Teaching language

English

Timing

01.01.2023 - 31.07.2024

Enrollment date range

01.07.2024 - 30.07.2024
- 15 credits
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 31

Assessment scale

H-5
Microcontroller Techniques ET22EC05-3001 27.03.2023-30.04.2023 3 credits (ET22D-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

Roger Mäntylä

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

27.03.2023 - 30.04.2023

Enrollment date range

01.12.2022 - 27.03.2023
- 3 credits
Group(s)
- ET22D-V
- ELA21D-V
Small group(s)
- ET22 (Size: 30. Open university: 0.)
- ELA21-E (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 ET22ED02-3001 16.01.2023-26.03.2023 3 credits (ET22D-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

Roger Mäntylä

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

16.01.2023 - 26.03.2023

Enrollment date range

01.12.2022 - 16.01.2023
- 3 credits
Group(s)
- ET22D-V
- ELA21D-V
Small group(s)
- ET22 (Size: 30. Open university: 0.)
- ELA21-E (Size: 30. 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 ET22EC04-3001 06.02.2023-26.03.2023 3 credits (ET22D-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

Roger Mäntylä

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

06.02.2023 - 26.03.2023

Enrollment date range

01.12.2022 - 06.02.2023
- 3 credits
Group(s)
- ET22D-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 ET22EE01-3001 16.01.2023-09.04.2023 5 credits (ET22D-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

Roger Mäntylä

Mode of delivery

Face-to-face

Teaching language

English

Timing

16.01.2023 - 09.04.2023

Enrollment date range

01.12.2022 - 16.01.2023
- 5 credits
Group(s)
- ET22D-V
- ELA20D-V
Small group(s)
- ET22 (Size: 30. Open university: 0.)
- ELA20-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

Assessment scale

H-5
Sustainability in Engineering Solutions ET22EC01-3001 05.09.2022-18.12.2022 6 credits (ET22D-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

05.09.2022 - 18.12.2022

Enrollment date range

15.06.2022 - 11.09.2022
- 6 credits
Group(s)
- ET22D-V
- ELA20D-V
Small group(s)
- ELA20-V-E (Size: 25. Open university: 0.)
- DDE (Size: 25. Open university: 0.)
- ET120 (Size: 25. 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 ET22EE04-3001 14.11.2022-11.12.2022 1 credits (ET22D-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

14.11.2022 - 11.12.2022

Enrollment date range

15.06.2022 - 22.11.2022
- 1 credits
Group(s)
- ET22D-V
Small group(s)
- DDE (Size: 20. 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

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

Academic year 2023 - 2024

There is no implementations attached to this degree programme.

Degree Programme in Energy TechnologyBachelor of Engineering, 240 ECTS

Academic year 2022 - 2023

Academic year 2023 - 2024

Degree Programme in Energy Technology
Bachelor of Engineering, 240 ECTS