Opinto-opas

Osaamistavoitteet

The student is able to
- understand Automation system hardware principles and control models
- implement PLC principles and programming, HMI panel and SCADA software
- utilize Distribution and communication using std industrial protocols and buses
- understands Sensors and actuators (operation principles and connection types)
- implement simple digital twins
- understands principles and programming of industrial robots as a part of an automation system

Toteutustapa ja opetusmenetelmät

Lectures, exercises, exam, returnable assignments.

Oppimateriaali ja suositeltava kirjallisuus

Study material will be announced at the beginning of the course.
Material to be distributed on the course website.

Sisältö

The student
- knows the main application areas of automation and understands the overview of the industry.
- is able to name different components of hydraulic and pneumatic systems.
- is able to make and connect hydraulic and pneumatic connections and design hydraulic and pneumatic circuits.
- is able to build and simulate a simple PLC based automation system.
- know the differences between automation solutions in different application areas of automation
(especially process and piece goods automation) and the structures and main functions of

Arviointimenetelmät

Basic level (1-2): the student can implement a simple piece goods automation application using programmable logic software, utilizing electro pneumatics / hydraulics.

Good level (3-4):The student will be able to implement a more advanced piece goods automation application using programmable logic software.

Excellent level (5): The student is able to implement a complex piece goods automation application using programmable logic software.

Arviointiasteikko

1-5

Hylätty (0)

Level 1 of the competences described below is not met.

Arviointikriteerit: taso 1: (arviointiasteikko 1-5)

The student will be able to implement a simple piece goods automation application using programmable logic software.

Participates actively in class (80% of the classroom teaching) and successfully completes the exercises according to the given schedule.

Arviointikriteerit: taso 3 (arviointiasteikko 1-5)

The student is able to implement a more advanced piece goods automation application with programmable logic software.

Actively participates in class (80% of the classroom teaching) and successfully completes the exercises according to the given timetable.

Arviointikriteerit: taso 5 (arviointiasteikko 1-5)

The student will be able to implement a complex piece goods automation application using programmable logic software.

Actively participates in class (80% of the classroom time) and successfully completes the exercises according to the given schedule.

Willing to guide others in solving problems.

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
- 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

Arviointiasteikko

1-5

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

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. This includes the defined lectures, self-studying and exercises.

Sisältö

The course consists of four sub-areas:

Programming

- Basics with Python3 - programming paradigm: imperative

Digitalisation, ICT and automation

Tähän lyhyt kuvaus sisällöstä

Web Developing

-Focus on html5, css3, Javascript and their role in Web Developing. Additionally, we leverage Github.

Digital Tools and Data

Skills needed for studies in using Excel, Word and PowerPoint

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
- 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
- understand Automation system hardware principles and control models
- implement PLC principles and programming, HMI panel and SCADA software
- utilize Distribution and communication using std industrial protocols and buses
- understands Sensors and actuators (operation principles and connection types)
- implement simple digital twins
- understands principles and programming of industrial robots as a part of an automation system

Toteutustapa ja opetusmenetelmät

Lectures, exercises, exam, returnable assignments.

Oppimateriaali ja suositeltava kirjallisuus

Study material will be announced at the beginning of the course.
Material to be distributed on the course website.

Sisältö

The student
- knows the main application areas of automation and understands the overview of the industry.
- is able to name different components of hydraulic and pneumatic systems.
- is able to make and connect hydraulic and pneumatic connections and design hydraulic and pneumatic circuits.
- is able to build and simulate a simple PLC based automation system.
- know the differences between automation solutions in different application areas of automation
(especially process and piece goods automation) and the structures and main functions of

Arviointimenetelmät

Basic level (1-2): the student can implement a simple piece goods automation application using programmable logic software, utilizing electro pneumatics / hydraulics.

Good level (3-4):The student will be able to implement a more advanced piece goods automation application using programmable logic software.

Excellent level (5): The student is able to implement a complex piece goods automation application using programmable logic software.

Arviointiasteikko

1-5

Hylätty (0)

Level 1 of the competences described below is not met.

Arviointikriteerit: taso 1: (arviointiasteikko 1-5)

The student will be able to implement a simple piece goods automation application using programmable logic software.

Participates actively in class (80% of the classroom teaching) and successfully completes the exercises according to the given schedule.

Arviointikriteerit: taso 3 (arviointiasteikko 1-5)

The student is able to implement a more advanced piece goods automation application with programmable logic software.

Actively participates in class (80% of the classroom teaching) and successfully completes the exercises according to the given timetable.

Arviointikriteerit: taso 5 (arviointiasteikko 1-5)

The student will be able to implement a complex piece goods automation application using programmable logic software.

Actively participates in class (80% of the classroom time) and successfully completes the exercises according to the given schedule.

Willing to guide others in solving problems.

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

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

Arviointiasteikko

1-5

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

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. This includes the defined lectures, self-studying and exercises.

Sisältö

The course consists of four sub-areas:

Programming

- Basics with Python3 - programming paradigm: imperative

Digitalisation, ICT and automation

Tähän lyhyt kuvaus sisällöstä

Web Developing

-Focus on html5, css3, Javascript and their role in Web Developing. Additionally, we leverage Github.

Digital Tools and Data

Skills needed for studies in using Excel, Word and PowerPoint

Lisätietoja opiskelijalle: mm. edeltävä osaaminen

None

Arviointiasteikko

1-5