Opinto-opas

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 according to the schedules defined in the Time-edit.

Oppimateriaali ja suositeltava kirjallisuus

Material shared in the Moodle platform, presented during the lessons, www*.

These will be clarified during the class hours.

Oppimisympäristö

Lappeenranta Campus & Moodle

Opiskelijan ajankäyttö ja kuormitus

The scope of the course is 15 ECTS, which corresponds to an average of 412 hours of studying. This includes the defined 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
- 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

Lappeenrannan kampus & Moodle

Opiskelijan ajankäyttö ja kuormitus

Kurssin laajuus on 9 ECTS, mikä vastaa noin 250 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

Arvioitava harjoitustyö. Ei tenttiä.

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
- create a scalable restful API-services for IoT data
- implement ML and AI operations also in edge devices
- use appropriate databases to store IoT data in the platform
- work as a team leader in an ICT project and a member in a multidisciplinary project

Ajoitus ja läsnäolo

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

Oppimateriaali ja suositeltava kirjallisuus

Material shared in the Moodle platform, presented during the lessons, www*.

These will be clarified during the class hours.

Oppimisympäristö

Lappeenranta Campus & Moodle

Opiskelijan ajankäyttö ja kuormitus

The scope of the course is 15 ECTS, which corresponds to an average of 412 hours of studying. This includes the defined lectures, self-studying and exercises.

Sisältö

- Scalable RESTful API-services for IoT Data
- ML and AI operations also in edge devices
- Databases in scalable environments
- Team leading in ICT project and a member in multidisciplinary project

Lisätietoja opiskelijalle: mm. edeltävä osaaminen

Deep understanding of the IoT Pipeline basics
- Embedded systems
- Able to manage single VPS instance via SSH
- Secure communication over HTTPS
- Able to build backend services and integrate them to databases

Arviointimenetelmät

Course contains exercises, project work and possible exams, which will be detailed in each category separately.

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
- understands the role of ICT in engineering
- describe the automation system at a general level
- describe the concepts and principles of industrial ICT
- understand the role of the data in ICT engineering
- use common digital documentation and communication tools in the work of an engineering
- understand project based team work methods and principles in engineering
- create a program using structured programming language
- understand HTML and CSS basics
- understand the basics of statistical thinking

Ajoitus ja läsnäolo

Attending classes is required according to the schedules defined 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

Oppimisympäristö

Lahti M19 Campus & Moodle

Opiskelijan ajankäyttö ja kuormitus

The scope of the course is 15 credits, which corresponds to an average of 412 hours of studying. This includes the defined lectures, self-studying and exercises.

Sisältö

The course consists of four sub-areas:

- Programming Basics
- Digitalisation, ICT and automation
- Web Development
- Digital Tools and Data

Lisätietoja opiskelijalle: mm. edeltävä osaaminen

None

Arviointiasteikko

1-5

Osaamistavoitteet

The student is able to
- create a program using object-oriented programming language with databases (in the cloud too)
- understand the principles of user interfaces
- understand operating systems principles
- understand the role of the cloud platform in an IoT pipeline
- explain the structure of the IoT data pipeline, the meaning of the parts of the pipeline and principles of the machine learning and artificial intelligence
- understand the requirements of sensor data in the data value chain.
- understand the basic principles of the secure data transfer from the IoT device to the IoT data pipeline

Arviointiasteikko

1-5

Osaamistavoitteet

The student is able to
- use containers and virtualization as a programming and production platform for software systems
- design, create and manage a virtualized environment for an application project
- compare different hypervisors and cloud services to identify the strengths and weaknesses relevant to the solution
- utilize and maintain different operating systems (Linux/Windows) efficiently in a virtualized environment
- manage (private) cloud platform efficiently and securely and understand private/public cloud notable differences

Arviointiasteikko

1-5

Osaamistavoitteet

The student is able to
- create a program using object-oriented programming language with databases (in the cloud too)
- understand the principles of user interfaces
- understand operating systems principles
- understand the role of the cloud platform in an IoT pipeline
- explain the structure of the IoT data pipeline, the meaning of the parts of the pipeline and principles of the machine learning and artificial intelligence
- understand the requirements of sensor data in the data value chain.
- understand the basic principles of the secure data transfer from the IoT device to the IoT data pipeline

Arviointiasteikko

1-5

Osaamistavoitteet

The student is able to
- create a scalable restful API-services for IoT data
- implement ML and AI operations also in edge devices
- use appropriate databases to store IoT data in the platform
- work as a team leader in an ICT project and a member in a multidisciplinary project

Ajoitus ja läsnäolo

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

Oppimateriaali ja suositeltava kirjallisuus

Material shared in the Moodle platform, presented during the lessons, www*.

These will be clarified during the class hours.

Oppimisympäristö

Lappeenranta Campus & Moodle

Opiskelijan ajankäyttö ja kuormitus

The scope of the course is 15 ECTS, which corresponds to an average of 412 hours of studying. This includes the defined lectures, self-studying and exercises.

Sisältö

- Scalable RESTful API-services for IoT Data
- ML and AI operations also in edge devices
- Databases in scalable environments
- Team leading in ICT project and a member in multidisciplinary project

Lisätietoja opiskelijalle: mm. edeltävä osaaminen

Deep understanding of the IoT Pipeline basics
- Embedded systems
- Able to manage single VPS instance via SSH
- Secure communication over HTTPS
- Able to build backend services and integrate them to databases

Arviointimenetelmät

Course contains exercises, project work and possible exams, which will be detailed in each category separately.

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
- use containers and virtualization as a programming and production platform for software systems
- design, create and manage a virtualized environment for an application project
- compare different hypervisors and cloud services to identify the strengths and weaknesses relevant to the solution
- utilize and maintain different operating systems (Linux/Windows) efficiently in a virtualized environment
- manage (private) cloud platform efficiently and securely and understand private/public cloud notable differences

Arviointiasteikko

1-5

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 according to the schedules defined in the Time-edit.

Oppimateriaali ja suositeltava kirjallisuus

Material shared in the Moodle platform, presented during the lessons, www*.

These will be clarified during the class hours.

Oppimisympäristö

Lappeenranta Campus & Moodle

Opiskelijan ajankäyttö ja kuormitus

The scope of the course is 15 ECTS, which corresponds to an average of 412 hours of studying. This includes the defined 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
- 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

Lappeenrannan kampus & Moodle

Opiskelijan ajankäyttö ja kuormitus

Kurssin laajuus on 9 ECTS, mikä vastaa noin 250 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

Arvioitava harjoitustyö. Ei tenttiä.

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
- understands the role of ICT in engineering
- describe the automation system at a general level
- describe the concepts and principles of industrial ICT
- understand the role of the data in ICT engineering
- use common digital documentation and communication tools in the work of an engineering
- understand project based team work methods and principles in engineering
- create a program using structured programming language
- understand HTML and CSS basics
- understand the basics of statistical thinking

Ajoitus ja läsnäolo

Attending classes is required according to the schedules defined 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

Oppimisympäristö

Lahti M19 Campus & Moodle

Opiskelijan ajankäyttö ja kuormitus

The scope of the course is 15 credits, which corresponds to an average of 412 hours of studying. This includes the defined lectures, self-studying and exercises.

Sisältö

The course consists of four sub-areas:

- Programming Basics
- Digitalisation, ICT and automation
- Web Development
- Digital Tools and Data

Lisätietoja opiskelijalle: mm. edeltävä osaaminen

None

Arviointiasteikko

1-5