Opinto-opas

Osaamistavoitteet

The student is able to
- utilize modern analyzing, ML, and AI tools to solve engineering problems
- visualize and report the processed data in a suitable way using modern tools
- create a data visualization using HTML and backend services
- understand digital twin operation principles
- understand the importance and principles of leading, law, marketing and business economy as a part of a company operations
- write a technical report and represent it

Toteutustapa ja opetusmenetelmät

Course consists of many individual assignments and some group assignments. Some of the assignments requires attending on the premises.

Ajoitus ja läsnäolo

Attending classes is required according to the schedules in the Time-edit.

Oppimateriaali ja suositeltava kirjallisuus

Material is shared in the Moodle platform and some presented during the lessons.

Toteutuksen valinnaiset suoritustavat

None

Työelämäyhteistyö

None

Uusintamahdollisuudet

The course grading is based on assigments given during the classes and some group assignments.

In case there are exams during the course, then the LAB's rules and regulations are applied to the exam (two or more changes to take a replacement exam.)

Oppimisympäristö

Lappeenranta Campus & Moodle

Opiskelijan ajankäyttö ja kuormitus

The scope of the course is 15 credits, which corresponds to an average of 412 hours of studying, containing the scheduled lectures and self-studying.

Sisältö

Digital Twin
AI/ML tools
Leading Law, Marketing and business economy

Lisätietoja opiskelijalle: mm. edeltävä osaaminen

Object-oriented programming

Arviointimenetelmät

Assessment will be based on exercises, individual and team assignments and possible exams.
Student activity will affect grading.

Arviointiasteikko

1-5

Hylätty (0)

Student doesn't reach the course's competence goals.

Arviointikriteerit: taso 1: (arviointiasteikko 1-5)

Understands the course topics and can contribute to RDI processes.

Arviointikriteerit: taso 3 (arviointiasteikko 1-5)

Can utilize modern analyzing, ML and AI tools to solve engineering problems. Is able to visualize data using modern web development related tools and understands the importance of the leading, law, marketing and business economy as a part of a company operations.

Arviointikriteerit: taso 5 (arviointiasteikko 1-5)

Rules the level 3 matters and can take leading role in RDI processes

Osaamistavoitteet

The student is able to
- design and use appropriate data structures and algorithms
- create a simple GUI for IoT-system
- transfer data securely from IoT device to a cloud using platform services (programming point of view)
- use version control systems in software development
- design and evaluate ML and AI algorithms
- work as an active team member in an ICT project with modern teamwork methods and tools

Ajoitus ja läsnäolo

Attending classes is required.

Oppimateriaali ja suositeltava kirjallisuus

Material shared in the Moodle platform.

Oppimisympäristö

Campus & Moodle

Opiskelijan ajankäyttö ja kuormitus

The scope of the course is 15 ECTS, which corresponds to an average of 405 hours of studying. This includes the lectures, self-studying and exercises.

Sisältö

The course consists of three sub-areas:
- Data structures and Algorithms
- IoT Pipeline
- IoT Project

Lisätietoja opiskelijalle: mm. edeltävä osaaminen

Basic understanding of
- Programming
- Web development
- GIT
- IoT concept

Arviointimenetelmät

Course evaluation consists of the weekly tasks and possibly exams.

Arviointiasteikko

1-5

Hylätty (0)

Not able to reach level 1 criteria.

Arviointikriteerit: taso 1: (arviointiasteikko 1-5)

The student and the group have been able to cooperate productively and document their work. The student and the group are able to present their output to other students as instructed. The output mainly meets the criteria of the assignments.

Arviointikriteerit: taso 3 (arviointiasteikko 1-5)

The student and group deliverables (for example, presentations) are clear and logical.

They clearly show the implementation in accordance with the tasks given and any deviations have been reported. The student's and group's deliverables reflect an understanding of the work, e.g. the terms and professional words are correct. The student and group members also talk about what they have learned and solutions to challenges (reflection).

Arviointikriteerit: taso 5 (arviointiasteikko 1-5)

Student and group deliverables (for example, presentations) are clear and logical.

The student's and group's deliverables also contain a link to the theory of the course, and you can compare and justify with facts the solutions that have been used in the work. The student and the group have been able to add something extra they came up with to the work. The presentations are illustrative and things are explained with the help of examples

Osaamistavoitteet

The student is able to
- describe the roles and methods of agile software development environments
- understand software architecture importance and use std patterns
- develop front and backend services using Javascript (and Node)
- operate according to DevOps principles (CI/CD)

Toteutustapa ja opetusmenetelmät

Course consists of many individual assignments and some group assignments. Many software development tools are also being introduced during this course, which means that some individual guidance might be required.

Ajoitus ja läsnäolo

Attending classes is required so that the groups can be constructed and the guidance during the classes can be given. There will be no recordings related to the supporting classes. Only some short clips if necessary.

Oppimateriaali ja suositeltava kirjallisuus

The learning material is the material found on the internet and the material presented during the lessons.

Toteutuksen valinnaiset suoritustavat

None

Työelämäyhteistyö

None

Uusintamahdollisuudet

The course grading is mostly based on practical assignments with their respective schedules for the last return date and some extra tasks for compensatory points.

In case there are exams during the course, then the LAB's rules and regulations are applied to the exam (two or more changes to take a replacement exam.)

Oppimisympäristö

Lappeenranta Campus & Moodle

Opiskelijan ajankäyttö ja kuormitus

The scope of the course is 15 credits, which corresponds to an average of 412 hours of studying.

Sisältö

Describe the roles and methods of agile software development environments.
Understand software architecture importance and use std patterns.
Develop front and backend services using Javascript (and Node).
Operate according to DevOps principles (CI/CD).

Lisätietoja opiskelijalle: mm. edeltävä osaaminen

Previous experiences with NodeJS runtime and/or some Linux shell like BASH can help with the studies. Also knowning some basics of web-development can benefit, but none of the previously mentioned are requirements for the participation on the course.

Student must have previous experiences with programming on the basics level.

Arviointimenetelmät

Course grading will be mostly based on the assessed partial assignments. All of the partial assignments will contribute to the course grade with specified weights or points. The proposed grade will be rounded with traditional rounding rules to match 0-5 grading scale.

Arviointiasteikko

1-5

Hylätty (0)

Student doesn't reach the course's competence goals.

Arviointikriteerit: taso 1: (arviointiasteikko 1-5)

Student is able to contribute minimally to the team efforts and also able to understand and explain the course topics.

Arviointikriteerit: taso 3 (arviointiasteikko 1-5)

Student is able to participate into the team development efforts and also develop maintainable and testable software using devops principles.

Arviointikriteerit: taso 5 (arviointiasteikko 1-5)

Student shows ability to lead development team and instruct other developers to contribute. Student is also able to develop software with devops principles and can maintain devops related tool ecosystem.

Osaamistavoitteet

The student is able to
- Recognize the main components of an embedded system and understand the system architecture
- Describe the properties of different electronics components and choose appropriate components for the application
- Design and implement embedded software in the C programming language
- Design and implement a simple embedded device

Toteutustapa ja opetusmenetelmät

Luennot, ohjelmointiharjoitukset ja harjoitustyö.

Ajoitus ja läsnäolo

Osallistuminen tunneille on suotavaa Time-edit järjestelmän osoittamina ajankohtina.

Oppimateriaali ja suositeltava kirjallisuus

Luennoilla ilmoitettava materiaali

Oppimisympäristö

Lahti kampus & Moodle

Opiskelijan ajankäyttö ja kuormitus

Kurssin laajuus on 9 ECTS, mikä vastaa noin 243 tuntia opiskelua. Tämä pitää sisällään luennot, opiskelun ja harjoitukset.

Sisältö

- Sulautettujen järjestelmien sovellutukset eri aloilla
- Komponenttien perusteet
- Sulautettu ohjelmointi
- Signaalien käsittely (digitaalinen ja analoginen I/O)
- Sulautetun järjestelmän suunnittelua
- Prototyypin kehittäminen

Lisätietoja opiskelijalle: mm. edeltävä osaaminen

Ohjelmoinnin perusteet Pythonilla

Arviointimenetelmät

Esitettävä ja arvioitava kurssityö ja mahdolliset viikkotehtävät.

Arviointiasteikko

1-5

Hylätty (0)

Jäljempänä kuvattu osaamisen taso 1 ei toteudu.

Arviointikriteerit: taso 1: (arviointiasteikko 1-5)

Opiskelija osaa suunnitella ja toteuttaa osuuden sulautetun laitteen ohjelmistosta tai laitteistosta. Laite toteuttaa sille asetetut vaatimukset pääpiirteissään, ja laitteiston tai ohjelmiston arkkitehtuuri on dokumentoitu. Opiskelija osaa esitellä työnsä muille.

Arviointikriteerit: taso 3 (arviointiasteikko 1-5)

Opiskelija osaa suunnitella ja toteuttaa osuuden sulautetun laitteen ohjelmistosta tai laitteistosta. Laite toteuttaa sille asetetut vaatimukset, ja vaatimukset ja laitteiston tai ohjelmiston arkkitehtuuri on dokumentoitu. Ohjelmiston ja laitteiston suunnittelussa on huomioitu modulaarisuus. Opiskelija osaa esitellä työnsä muille ja vastata kysymyksiin.

Arviointikriteerit: taso 5 (arviointiasteikko 1-5)

Opiskelija osaa suunnitella ja toteuttaa osuuden sulautetun laitteen ohjelmistosta tai laitteistosta. Laite toteuttaa sille asetetut vaatimukset. Laitteiston tai ohjelmiston arkkitehtuuri on dokumentoitu, ja arkkitehtuurisuunnittelussa tehdyt valinnat on perusteltu ja johdettu vaatimuksista soveltuvin osin. Ohjelmiston ja laitteiston suunnittelussa on huomioitu modulaarisuus ja testattavuus, ja vaatimuksenmukaisuus on osoitettu testein. Opiskelija osaa esitellä työnsä muille ja vastata kysymyksiin. Opiskelija suorittaa harjoitustyön annetun aikataulun puitteissa.

Osaamistavoitteet

The student is able to
- Recognize the main components of an embedded system and understand the system architecture
- Describe the properties of different electronics components and choose appropriate components for the application
- Design and implement embedded software in the C programming language
- Design and implement a simple embedded device

Toteutustapa ja opetusmenetelmät

Luennot, ohjelmointiharjoitukset ja harjoitustyö.

Ajoitus ja läsnäolo

Osallistuminen tunneille on suotavaa Time-edit järjestelmän osoittamina ajankohtina.

Oppimateriaali ja suositeltava kirjallisuus

Luennoilla ilmoitettava materiaali

Oppimisympäristö

Lahti kampus & Moodle

Opiskelijan ajankäyttö ja kuormitus

Kurssin laajuus on 9 ECTS, mikä vastaa noin 243 tuntia opiskelua. Tämä pitää sisällään luennot, opiskelun ja harjoitukset.

Sisältö

- Sulautettujen järjestelmien sovellutukset eri aloilla
- Komponenttien perusteet
- Sulautettu ohjelmointi
- Signaalien käsittely (digitaalinen ja analoginen I/O)
- Sulautetun järjestelmän suunnittelua
- Prototyypin kehittäminen

Lisätietoja opiskelijalle: mm. edeltävä osaaminen

Ohjelmoinnin perusteet Pythonilla

Arviointimenetelmät

Esitettävä ja arvioitava kurssityö ja mahdolliset viikkotehtävät.

Arviointiasteikko

1-5

Hylätty (0)

Jäljempänä kuvattu osaamisen taso 1 ei toteudu.

Arviointikriteerit: taso 1: (arviointiasteikko 1-5)

Opiskelija osaa suunnitella ja toteuttaa osuuden sulautetun laitteen ohjelmistosta tai laitteistosta. Laite toteuttaa sille asetetut vaatimukset pääpiirteissään, ja laitteiston tai ohjelmiston arkkitehtuuri on dokumentoitu. Opiskelija osaa esitellä työnsä muille.

Arviointikriteerit: taso 3 (arviointiasteikko 1-5)

Opiskelija osaa suunnitella ja toteuttaa osuuden sulautetun laitteen ohjelmistosta tai laitteistosta. Laite toteuttaa sille asetetut vaatimukset, ja vaatimukset ja laitteiston tai ohjelmiston arkkitehtuuri on dokumentoitu. Ohjelmiston ja laitteiston suunnittelussa on huomioitu modulaarisuus. Opiskelija osaa esitellä työnsä muille ja vastata kysymyksiin.

Arviointikriteerit: taso 5 (arviointiasteikko 1-5)

Opiskelija osaa suunnitella ja toteuttaa osuuden sulautetun laitteen ohjelmistosta tai laitteistosta. Laite toteuttaa sille asetetut vaatimukset. Laitteiston tai ohjelmiston arkkitehtuuri on dokumentoitu, ja arkkitehtuurisuunnittelussa tehdyt valinnat on perusteltu ja johdettu vaatimuksista soveltuvin osin. Ohjelmiston ja laitteiston suunnittelussa on huomioitu modulaarisuus ja testattavuus, ja vaatimuksenmukaisuus on osoitettu testein. Opiskelija osaa esitellä työnsä muille ja vastata kysymyksiin. Opiskelija suorittaa harjoitustyön annetun aikataulun puitteissa.

Osaamistavoitteet

The student is able to
- design and use appropriate data structures and algorithms
- create a simple GUI for IoT-system
- transfer data securely from IoT device to a cloud using platform services (programming point of view)
- use version control systems in software development
- design and evaluate ML and AI algorithms
- work as an active team member in an ICT project with modern teamwork methods and tools

Ajoitus ja läsnäolo

Attending classes is required.

Oppimateriaali ja suositeltava kirjallisuus

Material shared in the Moodle platform.

Oppimisympäristö

Campus & Moodle

Opiskelijan ajankäyttö ja kuormitus

The scope of the course is 15 ECTS, which corresponds to an average of 405 hours of studying. This includes the lectures, self-studying and exercises.

Sisältö

The course consists of three sub-areas:
- Data structures and Algorithms
- IoT Pipeline
- IoT Project

Lisätietoja opiskelijalle: mm. edeltävä osaaminen

Basic understanding of
- Programming
- Web development
- GIT
- IoT concept

Arviointimenetelmät

Course evaluation consists of the weekly tasks and possibly exams.

Arviointiasteikko

1-5

Hylätty (0)

Not able to reach level 1 criteria.

Arviointikriteerit: taso 1: (arviointiasteikko 1-5)

The student and the group have been able to cooperate productively and document their work. The student and the group are able to present their output to other students as instructed. The output mainly meets the criteria of the assignments.

Arviointikriteerit: taso 3 (arviointiasteikko 1-5)

The student and group deliverables (for example, presentations) are clear and logical.

They clearly show the implementation in accordance with the tasks given and any deviations have been reported. The student's and group's deliverables reflect an understanding of the work, e.g. the terms and professional words are correct. The student and group members also talk about what they have learned and solutions to challenges (reflection).

Arviointikriteerit: taso 5 (arviointiasteikko 1-5)

Student and group deliverables (for example, presentations) are clear and logical.

The student's and group's deliverables also contain a link to the theory of the course, and you can compare and justify with facts the solutions that have been used in the work. The student and the group have been able to add something extra they came up with to the work. The presentations are illustrative and things are explained with the help of examples

Osaamistavoitteet

The student is able to
- describe the roles and methods of agile software development environments
- understand software architecture importance and use std patterns
- develop front and backend services using Javascript (and Node)
- operate according to DevOps principles (CI/CD)

Toteutustapa ja opetusmenetelmät

Course consists of many individual assignments and some group assignments. Many software development tools are also being introduced during this course, which means that some individual guidance might be required.

Ajoitus ja läsnäolo

Attending classes is required so that the groups can be constructed and the guidance during the classes can be given. There will be no recordings related to the supporting classes. Only some short clips if necessary.

Oppimateriaali ja suositeltava kirjallisuus

The learning material is the material found on the internet and the material presented during the lessons.

Toteutuksen valinnaiset suoritustavat

None

Työelämäyhteistyö

None

Uusintamahdollisuudet

The course grading is mostly based on practical assignments with their respective schedules for the last return date and some extra tasks for compensatory points.

In case there are exams during the course, then the LAB's rules and regulations are applied to the exam (two or more changes to take a replacement exam.)

Oppimisympäristö

Lappeenranta Campus & Moodle

Opiskelijan ajankäyttö ja kuormitus

The scope of the course is 15 credits, which corresponds to an average of 412 hours of studying.

Sisältö

Describe the roles and methods of agile software development environments.
Understand software architecture importance and use std patterns.
Develop front and backend services using Javascript (and Node).
Operate according to DevOps principles (CI/CD).

Lisätietoja opiskelijalle: mm. edeltävä osaaminen

Previous experiences with NodeJS runtime and/or some Linux shell like BASH can help with the studies. Also knowning some basics of web-development can benefit, but none of the previously mentioned are requirements for the participation on the course.

Student must have previous experiences with programming on the basics level.

Arviointimenetelmät

Course grading will be mostly based on the assessed partial assignments. All of the partial assignments will contribute to the course grade with specified weights or points. The proposed grade will be rounded with traditional rounding rules to match 0-5 grading scale.

Arviointiasteikko

1-5

Hylätty (0)

Student doesn't reach the course's competence goals.

Arviointikriteerit: taso 1: (arviointiasteikko 1-5)

Student is able to contribute minimally to the team efforts and also able to understand and explain the course topics.

Arviointikriteerit: taso 3 (arviointiasteikko 1-5)

Student is able to participate into the team development efforts and also develop maintainable and testable software using devops principles.

Arviointikriteerit: taso 5 (arviointiasteikko 1-5)

Student shows ability to lead development team and instruct other developers to contribute. Student is also able to develop software with devops principles and can maintain devops related tool ecosystem.

Osaamistavoitteet

The student is able to
- utilize modern analyzing, ML, and AI tools to solve engineering problems
- visualize and report the processed data in a suitable way using modern tools
- create a data visualization using HTML and backend services
- understand digital twin operation principles
- understand the importance and principles of leading, law, marketing and business economy as a part of a company operations
- write a technical report and represent it

Toteutustapa ja opetusmenetelmät

Course consists of many individual assignments and some group assignments. Some of the assignments requires attending on the premises.

Ajoitus ja läsnäolo

Attending classes is required according to the schedules in the Time-edit.

Oppimateriaali ja suositeltava kirjallisuus

Material is shared in the Moodle platform and some presented during the lessons.

Toteutuksen valinnaiset suoritustavat

None

Työelämäyhteistyö

None

Uusintamahdollisuudet

The course grading is based on assigments given during the classes and some group assignments.

In case there are exams during the course, then the LAB's rules and regulations are applied to the exam (two or more changes to take a replacement exam.)

Oppimisympäristö

Lappeenranta Campus & Moodle

Opiskelijan ajankäyttö ja kuormitus

The scope of the course is 15 credits, which corresponds to an average of 412 hours of studying, containing the scheduled lectures and self-studying.

Sisältö

Digital Twin
AI/ML tools
Leading Law, Marketing and business economy

Lisätietoja opiskelijalle: mm. edeltävä osaaminen

Object-oriented programming

Arviointimenetelmät

Assessment will be based on exercises, individual and team assignments and possible exams.
Student activity will affect grading.

Arviointiasteikko

1-5

Hylätty (0)

Student doesn't reach the course's competence goals.

Arviointikriteerit: taso 1: (arviointiasteikko 1-5)

Understands the course topics and can contribute to RDI processes.

Arviointikriteerit: taso 3 (arviointiasteikko 1-5)

Can utilize modern analyzing, ML and AI tools to solve engineering problems. Is able to visualize data using modern web development related tools and understands the importance of the leading, law, marketing and business economy as a part of a company operations.

Arviointikriteerit: taso 5 (arviointiasteikko 1-5)

Rules the level 3 matters and can take leading role in RDI processes