Degree Programme in Robotics and Artificial Intelligence
Robotics and Artificial Intelligence, full-time studies
Robotics and Artificial Intelligence, full-time studies
Robotics and Artificial Intelligence, full-time studies
Robotics and Artificial Intelligence, full-time studies
Enrollment
06.11.2023 - 17.11.2023
Timing
01.01.2024 - 30.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Yhteisten opintojen koulutusyksikkö
Campus
Kotka Campus
Teaching languages
- English
- Finnish
Seats
20 - 50
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Mikko Höglund
Groups
-
ROKT22SPRobotics and artificial intelligence, full-time studies
Objective
You are able to actively use the basic professional vocabulary of your field.
You are able to look for information in English in professional sources and apply it in different study and work related communication situations.
You are able to communicate in English in various spoken and written situations in your professional field at the European level B2.
Content
What professional vocabulary is essential in your professional field?
How to look for information in professional sources in English and how to apply this information?
How to interact in spoken communication situations in English and how to draw up texts in English for professional purposes?
How to communicate in study-related situations and work communities in English?
Evaluation scale
1-5
Assessment criteria, satisfactory (1)
Ability to communicate in English orally and in writing in various situations in the professional field mainly at the European (CEFR) level B1.
Assessment criteria, good (3)
Ability to communicate in English orally and in writing in various situations in the professional field mainly at the European (CEFR) level B2.
Assessment criteria, excellent (5)
Ability to communicate in English orally and in writing in various situations in the professional field mainly at the European (CEFR) level C1.
Qualifications
If you have been instructed to participate in the Intensive course in English, you must complete it or independently acquire the equivalent knowledge and skills before you can participate in this course.
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 30.04.2024
Number of ECTS credits allocated
5 op
Virtual portion
1 op
Mode of delivery
80 % Contact teaching, 20 % Distance learning
Unit
Yhteisten opintojen koulutusyksikkö
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
20 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Marja-Liisa Siren-Huhtinen
Groups
-
ROKV23SPRobotics and artificial intelligence, full-time studies
Objective
You are able to communicate in spoken and written situations in your own field.
You are familiar with the terminology of your field and able to communicate in Swedish in professional situations.
The objectives are based on the Common European Framework of Languages, level B1 and Government Decree 1129/2014.
After completing the course with the grade of 3, you are able to:
- understand clear standard and work-related speech.
- use basic structures reasonably well both in spoken and written situations.
- speak relatively fluently so that occasional mistakes in pronunciation or prosody do not lead to misunderstanding.
- describe your education and work experience for example when applying for a job.
- describe and discuss key issues of your professional field (eg. the operation, products, processes or services of companies and/or organizations).
Content
How do you use Swedish vocabulary related to education, work environment and workplace duties?
How do you use Swedish in different communicative situations of working life, for example in emails, telephoning and meetings?
How do you use the basic professional vocabulary required in your field and operational environment?
Evaluation scale
1-5
Qualifications
If you have been instructed to participate in the Intensive course in Swedish, you must complete it or independently acquire the equivalent knowledge and skills before you can participate in this course.
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 30.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
10 - 50
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Joel Paananen
Groups
-
ROKV21SPRobotics and artificial intelligence, full-time studies
Objective
You can design and analyze versatile integrations of automation systems and robotics applications
You understand the cell entities that combine robotics, numerics, and logic
Content
How can a robot serve other machines and automation systems?
How are integrations implemented in concrete terms and what are the risks?
How is the integration project managed?
How to simulate an entire robot cell?
How is the security of a cell or system entity maintained?
Materials
The literature of the course is explained in the opening lecture
Other material is distributed in lectures
Teaching methods
Work week-based learning pathway: You participate in contact and online teaching as scheduled.
Work-integrated learning pathway: Make a plan for completing the content and objectives of this course in your workplace. Also create a plan for proving performance (documentation). Agree on the implementation of the performance with the employer's representative and make an appointment by e-mail to discuss with the teacher.
Acceptance of the course by previous studies: Gather the key information of the course previously completed at university level, namely the content, objectives, scope and certificate of completion. Make an appointment for a discussion with the teacher by e-mail.
Recognition or demonstration of previously acquired competence: Familiarize yourself with the content and objectives of this course, write a statement of other previously acquired competence that corresponds to the content and objectives of the course. Make an appointment for a discussion with the teacher by e-mail.
Employer connections
During the course, representatives of working life will visit to give lectures.
Excursions are organized during the course if possible.
Exam schedules
The assignments and exams to be assessed are agreed in the introductory lecture of the course.
All assignments must be completed before taking the exam.
The course exam is taken before the end of the course.
It is permitted to take re-examinations in accordance with the degree regulations, if other tasks to be assessed for the course have been completed by the deadline.
Evaluation scale
1-5
Assessment methods and criteria
Assessment is based on the assessment of learning tasks and an exam. The weight of the assignments and exam points in the overall grade is agreed at the beginning of the course. The pass mark for the exam and re-exams is 50%.
Qualifications
Basics of programming and telecommunications
Programmable logics and industrial buses
Control mechanism and kinematics in cobots/robots
Enrollment
06.04.2023 - 21.04.2023
Timing
28.08.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
10 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Teemu Jokela
- Niko Puurtinen
Teacher in charge
Teemu Jokela
Groups
-
ROKV21SPRobotics and artificial intelligence, full-time studies
Objective
You know how to design a project and implement or simulate an automation system that solves a real-life problem.
You will be able to develop the project plan required for the successful completion of an automation project.
You can draw up a technical plan and related documents for implementing an automation system or it´s simulation.
You can utilize standards and manufacturers' libraries as well as material to develop a safe and efficient automation system.
You can professionally analyze the technical operation of the automation system you are designin.
You can report on the implementation of a project according to the project plan.
Content
How do you implement an automation project?
How do you create an automation project project plan?
How do you design and implement a safe and efficient automation system that solves the problem?
How do you evaluate and optimize the functionality of the technical solution?
How do you monitor and report on the implementation of the project?
Materials
The literature of the course is explained in the opening lecture
Other material is distributed in lectures
Teaching methods
Work week-based learning pathway: You participate in contact and online teaching as scheduled.
Work-integrated learning pathway: Make a plan for completing the content and objectives of this course in your workplace. Also create a plan for proving performance (documentation). Agree on the implementation of the performance with the employer's representative and make an appointment by e-mail to discuss with the teacher.
Acceptance of the course by previous studies: Gather the key information of the course previously completed at university level, namely the content, objectives, scope and certificate of completion. Make an appointment for a discussion with the teacher by e-mail.
Recognition or demonstration of previously acquired competence: Familiarize yourself with the content and objectives of this course, write a statement of other previously acquired competence that corresponds to the content and objectives of the course. Make an appointment for a discussion with the teacher by e-mail.
Employer connections
During the course, representatives of working life will visit to give lectures.
Excursions are organized during the course if possible.
Exam schedules
The assignments and exams to be assessed are agreed in the introductory lecture of the course.
All assignments must be completed before taking the exam.
The course exam is taken before the end of the course.
It is permitted to take re-examinations in accordance with the degree regulations, if other tasks to be assessed for the course have been completed by the deadline.
Evaluation scale
1-5
Assessment methods and criteria
Assessment is based on the assessment of learning tasks.
Enrollment
06.04.2023 - 21.04.2023
Timing
28.08.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
1 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Kalle Tarhonen
Groups
-
ROKV21SPRobotics and artificial intelligence, full-time studies
Objective
You can design demanding assemblies with 3D -modeling software
You can study trajectories in assemblies
You can analyze structural stresses using FEM analysis
You can create intelligent parametric models using 3d modeling software
You are able to use component libraries of modeling software
Content
How to model configurations effectively with modeling software?
How do I use my statics and strength skills in computer-aided computing?
How do I evaluate the reliability of my analysis?
How do I do trajectory analyzes of mechanisms?
How do I make production pictures of my plans?
Evaluation scale
1-5
Qualifications
Basics of mechanics design
Mechanics: Statics and dynamics
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 30.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
10 - 50
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Joel Paananen
Teacher in charge
Joel Paananen
Groups
-
ROKV23SPRobotics and artificial intelligence, full-time studies
Objective
You understand the principles of robot control systems
You know robot safety regulations as well as standards and principles of cobots
You can determine the sources of robot control errors
You can solve equations related to robot kinematics
You can model simple control systems for different types of robots
You can use simulation to analyze the operation of a robot control system
Content
How does the robot controller work?
What are geometric, non-geometric and sensor errors in robot control?
How is robot kinematics modeled?
How are robot controller and actuators simulated?
Materials
The literature of the course is explained in the opening lecture
Other material is distributed in lectures
Teaching methods
Work week-based learning pathway: You participate in contact and online teaching as scheduled.
Work-integrated learning pathway: Make a plan for completing the content and objectives of this course in your workplace. Also create a plan for proving performance (documentation). Agree on the implementation of the performance with the employer's representative and make an appointment by e-mail to discuss with the teacher.
Acceptance of the course by previous studies: Gather the key information of the course previously completed at university level, namely the content, objectives, scope and certificate of completion. Make an appointment for a discussion with the teacher by e-mail.
Recognition or demonstration of previously acquired competence: Familiarize yourself with the content and objectives of this course, write a statement of other previously acquired competence that corresponds to the content and objectives of the course. Make an appointment for a discussion with the teacher by e-mail.
Employer connections
During the course, representatives of working life will visit to give lectures.
Excursions are organized during the course if possible.
Exam schedules
The assignments and exams to be assessed are agreed in the introductory lecture of the course.
All assignments must be completed before taking the exam.
The course exam is taken before the end of the course.
It is permitted to take re-examinations in accordance with the degree regulations, if other tasks to be assessed for the course have been completed by the deadline.
Student workload
The average student workload is 135 hours.
20-40 hours of independent study of literature.
20-40 hours for assignments and group assignments.
10-20 hours preparing for the exam.
Evaluation scale
1-5
Assessment methods and criteria
Assessment is based on the assessment of learning tasks and an exam. The weight of the assignments and exam points in the overall grade is agreed at the beginning of the course. The pass mark for the exam and re-exams is 50%.
Qualifications
Smart hardware in robotics
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 26.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Meri-YAMK Virtuaali
Teacher in charge
Arja Sinkko
Groups
-
ROKV21SPRobotics and artificial intelligence, full-time studies
Objective
You know the importance of the right information in solving a problem and know how to use data-based decision-making methods.
You will understand the possibilities offered by large data sets and you will know the tools and methods used to handle them.
You know how to use key mathematical methods related to data analytics. You can communicate effectively with data and visualize datasets and results.
Content
How does data become information and knowledge?
How is the data processed?
How is the data interpreted?
What does data based decision making mean?
How can massive amounts of data be used in decision making?
Evaluation scale
1-5
Enrollment
21.08.2023 - 01.09.2023
Timing
28.08.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
10 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Niko Puurtinen
Teacher in charge
Teemu Jokela
Groups
-
ROKV23SPRobotics and artificial intelligence, full-time studies
Objective
You know the operating principles of different electrical circuits and basic components
You can find out the currents and voltages of different parts of DC and AC circuits
You know the main equations of DC and AC circuits and know how to solve them
You understand the basics of a three-phase system and can analyze how it works
You understand and know the different power quantities and their significance in alternating current technology
Content
What are the basic components of circuits and how do they work?
How are DC and AC circuits analyzed?
How does a symmetric three-phase system work?
How are complex numbers used to describe alternating current quantities?
Evaluation scale
1-5
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 30.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Jonne Holmén
Teacher in charge
Jukka-Pekka Skön
Groups
-
ROKV21SPRobotics and artificial intelligence, full-time studies
Objective
You understand the principles of nursing and care robotics applications
You understand the ethical aspects of caring robotics
You know how to design care robotics applications
Content
What care robotics applications are there and coming?
How should ethics, human rights, privacy and dignity be taken into account in care robotics?
How do you design or implement a care robot?
Evaluation scale
1-5
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 26.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kotka Campus
Teaching languages
- Finnish
Seats
12 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Henry Lähteenmäki
Groups
-
ROKV23SPRobotics and artificial intelligence, full-time studies
Objective
You are able to solve the basic equations between quantities and modify values from one unit to another.
You are able to do the basic calculations using vector quantities and determine quantities graphically.
You are able to use the basic concepts of solids, liquids, gas, heat, electricity and wave motion in physics and in technology to solve the problems theoretically and experimentally.
Content
How to modify values from one unit to another?
How to present vectors and use vector components?
How to evaluate quantities graphically?
What are the fundamental phenomena, quantities, units, definitions and natural laws of solids, liquids, gas, heat, electricity and wave motion?
How to solve equations between quantities of physics?
How to measure physical quantities, study natural laws and write a test report?
Materials
Lecture notes and calculations.
Teaching methods
Final exam.
Employer connections
This course does not include RDI and work-related cooperation.
Evaluation scale
1-5
Enrollment
06.04.2023 - 21.04.2023
Timing
04.09.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kotka Campus
Teaching languages
- Finnish
Seats
0 - 25
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Timo Lyytikäinen
Teacher in charge
Timo Lyytikäinen
Groups
-
ROKT22SPRobotics and artificial intelligence, full-time studies
Objective
You are familiar with the basic properties of mathematical functions and you are able to calculate limits. You use differential and integral calculus as a problem-solving tool.
You are able to form mathematical models of some of the phenomena of your professional field.
You know how to apply mathematics in your professional field.
Content
What is the limit, derivation and integration of a function? What are definition set and set of values of a function? How do you analyze the course of a function?
How can you apply differential and integral calculus in technical phenomena?
How do you solve mathematical problems of your professional field?
Materials
Insinöörin Matematiikka
Teaching methods
Dont exist
Employer connections
No
Evaluation scale
1-5
Qualifications
The course ”Basics of engineering mathematics” or comprehensive knowledge of its contents is required.
Enrollment
06.11.2023 - 17.11.2023
Timing
15.01.2024 - 26.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
10 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Jarkko Hänninen
Teacher in charge
Jarkko Hänninen
Groups
-
ROKV21SPRobotics and artificial intelligence, full-time studies
Objective
You understand the importance of personal cyber hygiene for cybersecurity in society as well as corporate information security.
You know the laws related to data security and data protection.
You know the differences between cybersecurity and information security.
You identify security risks and make suggestions for improvement to avoid them.
You know how to protect your own activities in cyberspace and reduce the risk of being attacked as a company employee as well as an individual.
You know the most common security controls as well as theoretical models for building protections
You feel socially and organisationally important for the quality implementation of information security
You know how industrial systems should be protected and you can demand and discuss these with other professionals in the field.
Content
What are the basic concepts of information security?
How do you identify security risks and their implications?
What are the laws related to security?
What are security standards and certificates like?
What is open source inquiry?
Evaluation scale
1-5
Enrollment
06.11.2023 - 17.11.2023
Timing
01.01.2024 - 30.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
15 - 30
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Jonne Holmén
Teacher in charge
Jonne Holmén
Groups
-
ROKV21SPRobotics and artificial intelligence, full-time studies
Objective
You will understand logistics robotic applications operating on land, water and air.
You will understand the operating principles, special features and future trends of these applications
You know how to develop innovative solutions for logistics robotics
You understand the possibilities of utilizing swarm intelligence in logistics
Content
How will robotics and automation be utilized in logistics now and in the future?
How do autonomous units change logistics and what should be taken into account in their development?
How can swarm intelligence be utilized in robotic applications?
How to implement a robotic solution for the logistics chain?
Evaluation scale
1-5
Enrollment
06.04.2023 - 21.04.2023
Timing
04.09.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kotka Campus
Teaching languages
- Finnish
Seats
0 - 45
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Kalle Tarhonen
Teacher in charge
Kalle Tarhonen
Groups
-
ROKT22SPRobotics and artificial intelligence, full-time studies
Objective
You understand the nature of force
You know how to combine forces into a resultant
You can divide force into components
You can make a free body diagram to solve equilibrium
You can calculate forces acting on the components in mechanical systems
You can use dynamics to calculate the forces of moving objects
Content
How to solve problems with static and dynamic equations?
How do forces effect an object?
How do I join forces as a resultant?
How do I solve the force equlibrium using a free body diagram?
How do I calculate the center of gravity of an object?
How do forces act in different mechanical systems?
How to solve the forces of a moving object?
Evaluation scale
1-5
Enrollment
21.08.2023 - 01.09.2023
Timing
28.08.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
10 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Kalle Tarhonen
Teacher in charge
Kalle Tarhonen
Groups
-
ROKV23SPRobotics and artificial intelligence, full-time studies
Objective
You can model simple parts in a 3D modeling program
You can choose the right machine part for the right destination
You know what kind of materials are used in machines
You understand how mechanical objects are manufactured
You can read and create simple manufacturing drawings
Content
How do you use design software to model objects and machine parts?
How do I choose the right material for the right destination?
What kind of machine parts are used in mechanical design?
How is an object I designed manufactured?
Where can I look for information on different material properties, machine parts or requirements?
What do the standards mean?
Evaluation scale
1-5
Enrollment
06.04.2023 - 21.04.2023
Timing
28.08.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
1 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Teemu Jokela
- Niko Puurtinen
Teacher in charge
Teemu Jokela
Groups
-
ROKV21SPRobotics and artificial intelligence, full-time studies
Objective
You know how to use a systematic method for machine design
You know how projects proceed and how to participate one
You know how to design a device that solves a technical problem
You know how to make mechatronic devices
You know how to solve business problems
Content
How do I work on a project?
How can I solve problems systematically, but at the same time creatively?
How do I patent my invention?
How do I make the required documents?
How do I design safe machines?
Evaluation scale
1-5
Qualifications
Basics of mechanics design
Control mechanism and kinematics in cobots/robots
Smart hardware in robotics
Embedded electronics and IoT
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 30.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kotka Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Kalle Tarhonen
Teacher in charge
Kalle Tarhonen
Groups
-
ROKT22SPRobotics and artificial intelligence, full-time studies
Objective
You know the basics of strength of materials
You can dimension shafts, screws, gears and other machine parts
You can select the right size machine part for the right destination
You understand the nature of material selection in the design of strength technology
You can dimension and calculate the machine part you designed so that it will not break
You understand the basics of fatigue calculations
You can design joints and couplings
Content
How do I design strong structures?
What kind of strains affect objects and machine parts?
How do I choose the right size machine part for the right place?
How can I optimize material selection, material strength, and part shape to get a cost-effective structure.
Evaluation scale
1-5
Enrollment
06.04.2023 - 21.04.2023
Timing
04.09.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kotka Campus
Teaching languages
- Finnish
Seats
1 - 45
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Vesa Kankkunen
- Teemu Jokela
Teacher in charge
Teemu Jokela
Groups
-
ROKT22SPRobotics and artificial intelligence, full-time studies
Objective
You can identify an industrial process based on a flow and PI diagram and its positioning methods
You can describe the general measuring devices and operating units of machine automation and the process industry and their operating principles
You can describe the connection of field devices to control systems
You can explain the role of key measurement and control and regulation functions and the driving forces (modes) in the control of various controlled processes
You can implement feedback control
You can analyze the relationship between process dynamics and PID controller tuning.
Content
How do you differentiate and identify distinct process and automation devices in flow diagrams and PI diagrams?
How do you connect the control system and drive it with automation?
How do you control the process and automation equipment operations (e.g. tank surface, flow or steam pressure)?
How do you use the PID adjusting device to control the regulating unit and define the excitation parameters?
Evaluation scale
1-5
Enrollment
06.04.2023 - 21.04.2023
Timing
28.08.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Virtual portion
4 op
Mode of delivery
20 % Contact teaching, 80 % Distance learning
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
10 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Teemu Jokela
Teacher in charge
Teemu Jokela
Groups
-
ROKV21SPRobotics and artificial intelligence, full-time studies
Objective
You can design and simulate versatile robotics control systems
You can utilize versatile IT applications, systems and libraries in the development of a control system
You can use software to develop and test a robot control system
You can model and analyze control and regulation systems with suitable software
Content
How do you design a robot control system?
How to model different control systems?
How do you take into account the sensor data and, for example, the machine vision inputs in the control system?
How do you analyze the robot control system model?
How do you take into account the differences between the simulation produced by the model and the actual solution?
Evaluation scale
1-5
Qualifications
Control mechanism and kinematics in cobots/robots
Programmable logics and industrial buses
Measuring, control and automatic control engineering
Mechatronics
Enrollment
06.04.2023 - 21.04.2023
Timing
01.11.2023 - 28.02.2024
Number of ECTS credits allocated
5 op
Virtual portion
4 op
RDI portion
2 op
Mode of delivery
20 % Contact teaching, 80 % Distance learning
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
1 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Katriina Vesala
Teacher in charge
Katriina Vesala
Groups
-
ROKV21SPRobotics and artificial intelligence, full-time studies
Objective
You control the planning process for software robotics deployment.
You recognize different types of software robots and know how to choose the right software robot for your application
You know how to control the selected automation.
You can program a software robot that automates a basic function.
Content
What kind of process should be chosen for automation?
How do you ensure that process automation is profitable or otherwise in line with your goals?
How do you choose the technology to use to implement automation?
What is a well-built and functional software robot like and how is it controlled?
Materials
The course utilizes online material as well as UiPath Academy diploma courses
Robotic Process Automation Handbook: A Guide to Implementing RPA Systems
Employer connections
Completion of the course is the implementation of a work life or private life solution with software robotics.
International connections
The course is conducted in a fully English UiPath Academy environment
Content scheduling
During the course, everyone independently completes more advanced level diplomas at UiPath Academy, and in addition to this, the group makes a business or private life automation using RPA.
Further information
UiPath studio does not work on a Mac!
Evaluation scale
1-5
Qualifications
Basics of programming and telecommunications
Implementation of a software robot
Automation of procedures with software robotics
Enrollment
21.08.2023 - 01.09.2023
Timing
28.08.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
10 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Tomi Pahula
- Tapani Alastalo
Teacher in charge
Tomi Pahula
Groups
-
ROKV23SPRobotics and artificial intelligence, full-time studies
Objective
You know the basic structures of programming and are able to build simple procedural programs.
You can do functions and use basic data types as well as tables and other basic data structures.
You will recognize more advanced programming structures and features.
You will recognize the basic components, protocols, and operating principles of modern telecommunications technology.
You know how to build a simple telecommunications network for a small business or organization.
You will understand the basic principles of access control and the basics of their use in a telecommunications network.
Content
What are the types of basic data types and how are they presented on a computer?
What are variables and functions and condition and loop structures?
How to build a simple program? How is it compiled, installed and run?
What are the hardware, components, protocols and software currently used in telecommunications technology?
How to build a sensible information network for small business use?
How does access control work and how is it managed?
Employer connections
-
Evaluation scale
1-5
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 30.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
1 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Teemu Jokela
Teacher in charge
Teemu Jokela
Groups
-
ROKV23SPRobotics and artificial intelligence, full-time studies
Objective
You can identify the programmable logic systems and related io and bus modules.
You can do logic device configurations.
You know the logic memory areas.
You can recognize the LAD and FBD programming languages of logic.
You know the basics of logic programming: program loading, editing and testing.
You can do network configuration for distributed I / O, electric motor operation and display panel.
You can connect logic to a PC control room and read and write logic memory areas to the control room display.
Content
How is the development of programmable logics implemented?
What is the structure, properties and programming of logic controls?
What are programming languages, memory areas, I / O and bus interface?
How does I / O, electric motor operation and display panel distributed and implemented in the industrial bus?
How to implement a logic control room connection?
Evaluation scale
1-5
Qualifications
Basics of programming and telecommunications
Enrollment
06.04.2023 - 21.04.2023
Timing
04.09.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kotka Campus
Teaching languages
- Finnish
Seats
20 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Anton Yrjönen
Teacher in charge
Anton Yrjönen
Groups
-
ROKT22SPRobotics and artificial intelligence, full-time studies
Objective
You know the basic elements of object-oriented programming and are able to build classes and instantiate objects from them.
You can describe class structures and objects using real world things and problems.
You will understand inheritance and how class variables and methods work.
You can implement simple software that follows the principles of object-oriented programming.
You will recognize more advanced object-oriented programming structures and features.
Content
What are classes and objects?
What are member variables and methods?
How can concrete real-world things be described by means of object-oriented programming?
What are inheritance and differences in class variables and methods compared to member variables and methods?
How can object-oriented programming solve practical problems?
What are multiple inheritance, loading, virtual functions, abstract base class?
Qualifications
Basics of programming and telecommunications or equivalent knowledge and skills.
Enrollment
21.08.2023 - 01.09.2023
Timing
28.08.2023 - 31.12.2026
Number of ECTS credits allocated
5 op
Virtual portion
2 op
Mode of delivery
60 % Contact teaching, 40 % Distance learning
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
1 - 45
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Vesa Kankkunen
- Teemu Jokela
Teacher in charge
Vesa Kankkunen
Groups
-
ROKV23SPRobotics and artificial intelligence, full-time studies
Objective
You act responsibly as a student and a member of the university community.
You are able to set learning objectives, plan your study and career path, follow your progress in studies and assess your learning.
You are able to improve your working life competencies.
You know how to act according to the ethical principles of your field.
You are able to promote your skills and competencies.
Content
What is Xamk like as a study community and learning environment?
How do you create a personal study and career plan?
How do you identify your skills and competences?
How do you improve your general competences?
What are your profession and line of work like?
What ethical principles are relevant to your field?
How do you promote your competences and strengthen your skills with respect to applying for jobs?
How do you enhance continuous learning?
Evaluation scale
Approved/Failed
Enrollment
06.11.2023 - 17.11.2023
Timing
01.01.2024 - 30.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
15 - 30
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
Groups
-
ROKV21SPRobotics and artificial intelligence, full-time studies
Objective
You know how to use the most important concepts of service design
You can acquire, interpret and evaluate user information to support development work
You can utilize the most important tools of service design
Content
How do you collect and analyze customer and user information?
How do you utilize service design in a development task?
Evaluation scale
1-5
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 30.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kotka Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Kirsi Hovikorpi
- Niko Puurtinen
Teacher in charge
Niko Puurtinen
Groups
-
ROKT22SPRobotics and artificial intelligence, full-time studies
Objective
After completing the course, you will be able to
• presents the structure and components of the process automation system of the production plant
• describe the main tasks of process operations and use user interfaces
• analyze the basic circuits of automation on the basis of a PI diagram and design system-independent functional descriptions and diagrams
• describe the use of key fieldbuses and protocols in industrial automation networks
• describe the utilization of artificial intelligence in process automation
• program and implement power plant automation instrumentation and motor circuits.
• program and deploy smart transmitters and fieldbuses.
Content
What hardware components are needed for a process automation system?
How is the data transferred, for example, from the boiler plant's measuring sensor to the power plant's remote control room and to the device controlled by the operator's command?
How are measurement, control, regulation, on-off valve and on-off motor circuits designed system-independently for a process automation system? How to connect smart instruments and motor control units via industrial fieldbuses and protocols?
How do bus standards, cloud services, and digitalization developments impact industrial applications?
How to program measurement, control, regulation, on-off valve and on-off motor circuit in an automation system?
How to connect intelligent field devices to an automation system in practice using fieldbuses?
Evaluation scale
1-5
Enrollment
06.04.2023 - 21.04.2023
Timing
28.08.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
1 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Teemu Jokela
Teacher in charge
Teemu Jokela
Groups
-
ROKV21SPRobotics and artificial intelligence, full-time studies
Objective
You know how to design a project and implement or simulate a robot that solves a real-life problem.
You will be able to develop the project plan required for the successful completion of a robotics project.
You can draw up a technical plan and related documents for building a robot or implementing its simulation.
You know how to utilize standards and manufacturers' libraries as well as material in developing a safe robot.
You know how to analyze the technical operation of a robot you have designed professionally.
You can report on the implementation of a project according to the project plan.
Content
How do you implement a robotics project?
How do you create a project plan?
How do you design and implement a safe and efficient robot that solves the problem?
How do you evaluate and optimize the functionality of the technical solution?
How do you monitor and report on the implementation of the project?
Materials
The literature of the course is explained in the opening lecture
Other material is distributed in lectures
Teaching methods
Work week-based learning pathway: You participate in contact and online teaching as scheduled.
Work-integrated learning pathway: Make a plan for completing the content and objectives of this course in your workplace. Also create a plan for proving performance (documentation). Agree on the implementation of the performance with the employer's representative and make an appointment by e-mail to discuss with the teacher.
Acceptance of the course by previous studies: Gather the key information of the course previously completed at university level, namely the content, objectives, scope and certificate of completion. Make an appointment for a discussion with the teacher by e-mail.
Recognition or demonstration of previously acquired competence: Familiarize yourself with the content and objectives of this course, write a statement of other previously acquired competence that corresponds to the content and objectives of the course. Make an appointment for a discussion with the teacher by e-mail.
Employer connections
During the course, representatives of working life will visit to give lectures.
Excursions are organized during the course if possible.
Exam schedules
The assignments and exams to be assessed are agreed in the introductory lecture of the course.
All assignments must be completed before taking the exam.
The course exam is taken before the end of the course.
It is permitted to take re-examinations in accordance with the degree regulations, if other tasks to be assessed for the course have been completed by the deadline.
Student workload
The average student workload is 135 hours, in which:
20-50 hours of independent study of literature.
20-50 hours for assignments and group assignments.
10-30 hours preparing for the exam.
Evaluation scale
Approved/Failed
Assessment methods and criteria
Assessment is based on the assessment of learning tasks.
Qualifications
Basics of mechanics design
Control mechanism and kinematics in cobots/robots
Measuring, control and automatic control engineering
Mechatronics
Enrollment
06.04.2023 - 21.04.2023
Timing
28.08.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
1 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Teemu Jokela
Teacher in charge
Teemu Jokela
Groups
-
ROKV21SPRobotics and artificial intelligence, full-time studies
Objective
You can program robot control systems in their most common programming languages.
You will understand the principles of robotics programming and the structures of programs.
You can use offline programming and simulation software to design and optimize a robot cycle.
Content
What programming languages do robot controllers use?
How is a robot program designed and implemented?
How is the robot program analyzed?
How is the program utilized in multiple cells?
How to optimize a robot program produced in a simulation environment?
Materials
The study material is covered in the introductory lecture of the course.
Teaching methods
Työviikkopohjainen oppimisväylä: Osallistut työjärjestyksen mukaisesti lähi- ja verkko-opetukseen.
Työelämään integroitu oppimisväylä: Laadi suunnitelma tämän opintojakson sisällön ja tavoitteiden suorittamisesta työpaikallasi. Laadi suunnitelma myös suoritteiden todistamisesta (näyttö/dokumentointi). Sovi suorituksen toteuttamisesta työnantajan edustajan kanssa ja varaa sähköpostilla aika keskusteluun opettajan kanssa.
Opintojakson hyväksilukeminen: Kokoa aiemmin korkeakoulussa suoritetun opintojakson keskeiset tiedot eli suoritetun opintojakson sisältö, tavoitteet, laajuus sekä todistus suorituksesta valmiiksi ja varaa sähköpostilla aika keskusteluun opettajan kanssa.
Aiemmin hankitun osaamisen tunnustaminen tai näyttö: Perehdy tämän opintojakson sisältöön ja tavoitteisiin, kirjoita selvitys aiemmin hankitusta muusta osaamisesta, joka vastaa opintojakson sisältöä sekä tavoitteita. Varaa sähköpostilla aika keskusteluun opettajan kanssa.
Employer connections
During the course, representatives of working life could visit to give lectures.
Excursions are organized during the course if possible.
Exam schedules
The assignments and exams to be assessed are agreed in the introductory lecture of the course.
All assignments must be completed before taking the exam.
The course exam is taken before the end of the course.
It is permitted to take re-examinations in accordance with the degree regulations, if other tasks to be assessed for the course have been completed by the deadline.
Student workload
The average student workload is 135 hours.
50-60 hours of contact teaching.
20-40 hours of independent study of literature.
20-40 hours for assignments and group assignments.
10-20 hours preparing for the exam
Evaluation scale
1-5
Assessment methods and criteria
Assessment is based on the assessment of learning tasks and an exam. The weight of the assignments and exam points in the overall grade is agreed at the beginning of the course. The pass mark for the exam and re-exams is 50%.
Enrollment
06.04.2023 - 21.04.2023
Timing
04.09.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kotka Campus
Teaching languages
- Finnish
Seats
1 - 45
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Teemu Jokela
- Niko Puurtinen
Teacher in charge
Teemu Jokela
Groups
-
ROKT22SPRobotics and artificial intelligence, full-time studies
Objective
You understand hydraulic and pneumatic diagrams
You know the basic components of hydraulic and pneumatic systems
You can select and dimension actuators for hydraulic and pneumatic systems
You can select and dimension electronic actuators for an automation system
You know the basic electrical components of rotational motion and linear motion
You will understand the principles of control technology in the use of hydraulic, pneumatic and electric actuators
Content
What kind of actuators and their controlling components are there in hydraulic systems?
What kind of actuators and control components are there in pneumatic systems?
What are the electric rotary motion and linear motion actuators?
How do I dimension and select hydraulic system components?
How do I dimension and select the components of a pneumatic system?
How do I dimension and select electric actuators?
Evaluation scale
1-5
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 30.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kotka Campus
Teaching languages
- Finnish
Seats
10 - 50
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Joel Paananen
Teacher in charge
Joel Paananen
Groups
-
ROKT22SPRobotics and artificial intelligence, full-time studies
Objective
You understand the principles of embedded electronics and IoT
You understand requirements of creating embedded systems
You know how to choose the right components for your embedded solution
You can assemble a programmable device from a breadboard and components
You know the basic programming of a microcontroller in a suitable programming language
Content
What are embedded systems and electronics?
What does the Internet of Things mean?
What components are needed to implement an embedded system?
How to build a programmable device?
How to program a microcontroller?
Materials
The literature of the course is explained in the opening lecture
Other material is distributed in lectures
Teaching methods
Work week-based learning pathway: You participate in contact and online teaching as scheduled.
Work-integrated learning pathway: Make a plan for completing the content and objectives of this course in your workplace. Also create a plan for proving performance (documentation). Agree on the implementation of the performance with the employer's representative and make an appointment by e-mail to discuss with the teacher.
Acceptance of the course by previous studies: Gather the key information of the course previously completed at university level, namely the content, objectives, scope and certificate of completion. Make an appointment for a discussion with the teacher by e-mail.
Recognition or demonstration of previously acquired competence: Familiarize yourself with the content and objectives of this course, write a statement of other previously acquired competence that corresponds to the content and objectives of the course. Make an appointment for a discussion with the teacher by e-mail.
Employer connections
During the course, representatives of working life will visit to give lectures.
Excursions are organized during the course if possible.
Exam schedules
The assignments and exams to be assessed are agreed in the introductory lecture of the course.
All assignments must be completed before taking the exam.
The course exam is taken before the end of the course.
It is permitted to take re-examinations in accordance with the degree regulations, if other tasks to be assessed for the course have been completed by the deadline.
Student workload
The average student workload is 135 hours, in which:
20-50 hours of independent study of literature.
20-50 hours for assignments and group assignments.
10-30 hours preparing for the exam.
Evaluation scale
1-5
Assessment methods and criteria
Assessment is based on the assessment of learning tasks and an exam. The weight of the assignments and exam points in the overall grade is agreed at the beginning of the course. The pass mark for the exam and re-exams is 50%.
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 30.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Marko Saxell
- Niko Puurtinen
Teacher in charge
Niko Puurtinen
Groups
-
ROKV23SPRobotics and artificial intelligence, full-time studies
Objective
You are familiar with the legislation governing the electricity installations and the related corporate and personal responsibilities and obligations
You know how to work safely with electrical systems and equipment
You understand the basics of electrical design and are able to read and produce electrical documents
You understand implementation of simple electrical installations based on documentation
You understand the safety checks of the electrical system and know how to prepare related documentation
Content
What are the electrical safety regulations?
How is occupational electrical safety implemented?
How do electricity distribution systems work?
How are the protection methods of electrical systems implemented?
How to choose and install an electrical appliances?
What checks are made on built electrical equipment?
How is the security of the electrical system documented?
Evaluation scale
1-5
Enrollment
21.08.2023 - 01.09.2023
Timing
28.08.2023 - 15.12.2023
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Henry Lähteenmäki
Teacher in charge
Henry Lähteenmäki
Groups
-
ROKV23SPRobotics and artificial intelligence, full-time studies
Materials
Lecture notes and calculations.
Teaching methods
Final exam.
Employer connections
This course does not include RDI and work-related cooperation.
Evaluation scale
1-5
Enrollment
21.08.2023 - 01.09.2023
Timing
28.08.2023 - 15.12.2023
Number of ECTS credits allocated
3 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Henry Lähteenmäki
Teacher in charge
Henry Lähteenmäki
Groups
-
ROKV23SPRobotics and artificial intelligence, full-time studies
Objective
You know how to calculate using different mathematical relations.
You are able to calculate using fraction numbers and relations.
You understand the concept of a function.
You know how to solve different types of first and second degree equations.
You are able to handle the mathematical and the graphical representations of a line.
You can solve systems of linear equations in two variables.
You know how to simplify and calculate with different exponent relations.
You are able to calculate with radical expressions.
You are able to handle the mathematical and the graphical representations of a second degree polynomial function.
You know how to calculate with polynomials and how to factor them.
You know how to solve the right hand triangles.
You are familiar with the basics of calculations related to percentages.
Content
How to simplify mathematical relations?
How to calculate and simplify fraction numbers and relations?
What is the meaning of a function and its graph? What are the zeros? How to draw functions?
How to solve different linear equations?
What is the meaning of a line mathematically speaking? What are the slope and the y-intercept point?
How to solve systems of linear equations in two variables?
How to simplify exponent relations? What are the calculation rules of exponents?
How to simplify radical relations?
How to solve the second-degree polynomial equation?
How to use the information about the discriminant? How to draw the parabola?
How to calculate using polynomials? How to factor polynomials?
How to solve right hand triangles?
How to solve problems related to percentages?
Materials
Lecture notes and calculations.
Teaching methods
Final exam.
Employer connections
This course does not include RDI and work-related cooperation.
Evaluation scale
1-5
Enrollment
06.04.2023 - 21.04.2023
Timing
04.09.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kotka Campus
Teaching languages
- Finnish
Seats
20 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Joel Paananen
Teacher in charge
Joel Paananen
Groups
-
ROKT22SPRobotics and artificial intelligence, full-time studies
Objective
You understand the principles of artificial intelligence
You are familiar with industry-specific methods of artificial intelligence and machine learning
You understand the limitations and possibilities of artificial intelligence
You understand the ethical aspects of using artificial intelligence
Content
What is artificial intelligence?
How can artificial intelligence be applied in the implementation of intelligent machines?
What should be taken into account when applying artificial intelligence?
Materials
The study material is covered in the introductory lecture of the course.
Teaching methods
Work week-based learning pathway: You participate in contact and online teaching as scheduled.
Work-integrated learning pathway: Make a plan for completing the content and objectives of this course in your workplace. Also create a plan for proving performance (documentation). Agree on the implementation of the performance with the employer's representative and make an appointment by e-mail to discuss with the teacher.
Acceptance of the course by previous studies: Gather the key information of the course previously completed at university level, namely the content, objectives, scope and certificate of completion. Make an appointment for a discussion with the teacher by e-mail.
Recognition or demonstration of previously acquired competence: Familiarize yourself with the content and objectives of this course, write a statement of other previously acquired competence that corresponds to the content and objectives of the course. Make an appointment for a discussion with the teacher by e-mail.
Employer connections
During the course, representatives of working life could visit to give lectures.
Excursions are organized during the course if possible.
Exam schedules
The assignments and exams to be assessed are agreed in the introductory lecture of the course.
All assignments must be completed before taking the exam.
The course exam is taken before the end of the course.
It is permitted to take re-examinations in accordance with the degree regulations, if other tasks to be assessed for the course have been completed by the deadline.
Student workload
The average student workload is 135 hours.
50-60 hours of contact teaching.
20-40 hours of independent study of literature.
20-40 hours for assignments and group assignments.
10-20 hours preparing for the exam.
Evaluation scale
1-5
Assessment methods and criteria
Assessment is based on the assessment of learning tasks and an exam. The weight of the assignments and exam points in the overall grade is agreed at the beginning of the course. The pass mark for the exam and re-exams is 50%.
Enrollment
06.04.2023 - 21.04.2023
Timing
04.09.2023 - 03.11.2023
Number of ECTS credits allocated
5 op
Virtual portion
3 op
RDI portion
2 op
Mode of delivery
40 % Contact teaching, 60 % Distance learning
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
1 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Katriina Vesala
Teacher in charge
Katriina Vesala
Groups
-
ROKV21SPRobotics and artificial intelligence, full-time studies
Objective
You know how digitalization and automation can be combined with different processes in a company.
You will be familiar with modern operating models, basic concepts and software.
You identify the different software used in your organization that can take advantage of technical interfaces and software robotics.
You can evaluate what processes or work steps you should use software robotics.
You control the planning process for software robotics deployment.
Content
What are the different processes of the company like and how can software robotics be utilized in them?
How to use different software in the company's business?
How do technical interfaces and software robotics work?
How to evaluate the feasibility of software robotics processes?
What kind of research and reporting needs to be done in preparation for the introduction of software robotics?
Evaluation scale
1-5
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 26.04.2024
Number of ECTS credits allocated
5 op
Virtual portion
1 op
Mode of delivery
80 % Contact teaching, 20 % Distance learning
Campus
Kotka Campus
Teaching languages
- Finnish
Seats
20 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Jyri Mulari
Teacher in charge
Jyri Mulari
Groups
-
ROKT22SPRobotics and artificial intelligence, full-time studies
Objective
You know the basics of business economics
You understand the basic principles of production economics
You know how to plan, implement and report investment projects
Content
What are the company's financial activities?
What are financial statements and how are the accounts carried out?
What is budgeting?
How are the company's investments planned and their profitability assessed?
Evaluation scale
1-5
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 30.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kotka Campus
Teaching languages
- Finnish
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Lassi Salminen
Teacher in charge
Lassi Salminen
Groups
-
ROKT22SPRobotics and artificial intelligence, full-time studies
Objective
You know how to use and program numerically controlled machines
You understand how robots can be utilized in manufacturing technology
You are familiar with modern manufacturing systems and their automation
You know how to design and make factory models
Content
What kind of numerically controlled machining systems exist?
How do I present larger factory assemblies with computer assistance?
How do I optimize machine parts for manufacturability?
What does Lean mean and how do I use it in my work?
Evaluation scale
1-5
Qualifications
Basics of mechanics design
Enrollment
21.08.2023 - 01.09.2023
Timing
28.08.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
10 - 40
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Marko Saxell
- Esa Huuhtanen
Teacher in charge
Marko Saxell
Groups
-
ROKV23SPRobotics and artificial intelligence, full-time studies
Objective
After the course you can:
explain the basic principles of common workplace cooperation, together with general risks and good practices
take into account the job and assignment-specific protective equipment and devices (hot works, occupational safety and first aid)
evaluate the significant shortcomings in electrical safety in the working environment
define the requirements specific to electrical work.
Content
What is a common workplace and how can accidents and occupational illnesses be prevented?
What is the practical implementation of the occupational safety organization and what kind of general instructions and safety rules are used?
How to identify electric safety defects and react to them?
When is electrical work done in live working and inspection is required?
Evaluation scale
1-5
Enrollment
21.08.2023 - 01.09.2023
Timing
28.08.2023 - 15.12.2023
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Yhteisten opintojen koulutusyksikkö
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
20 - 50
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Johanna Vilkki
Groups
-
ROKV23SPRobotics and artificial intelligence, full-time studies
Objective
You understand the significance of interaction as part of your professional expertise and you can act appropriately in various communication situations.
You are familiar with Xamk's instructions for written assignments.
You are able to search reliable information and use it ethically.
You can express your views justifying them based on facts and use standard Finnish appropriate in each context.
You know how to write texts that meet the standards for layout, content and style required in your studies and in your own field, and use appropriate tools and forums.
You improve your interactive communication skills and manage fluently in different cooperation situations, such as meetings and negotiations.
You develop your presentation skills for professional purposes and acquire skills in giving and receiving feedback.
Content
What interaction skills are required in your own studies and in workplaces in your field?
How do you justify your views using standard Finnish?
How do you search reliable information from different sources and use it ethically?
Which written skills (genres, styles, tools) should you master both in your studies and in work assignments in your own professional field?
How do you utilize language regulations and tools in your studies and workplace communication?
Which skills do you need in presentations, meetings and negotiations?
How do you assess your own communication skills and ease your stage fright?
How do you give constructive feedback?
How do you utilize the feedback you received?
Evaluation scale
1-5
Enrollment
06.11.2023 - 17.11.2023
Timing
08.01.2024 - 30.04.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Campus
Kouvola Campus
Teaching languages
- Finnish
Seats
10 - 30
Degree programmes
- Degree Programme in Robotics and Artificial Intelligence
Teachers
- Teemu Jokela
Teacher in charge
Teemu Jokela
Groups
-
ROKV21SPRobotics and artificial intelligence, full-time studies
Objective
You understand home automation applications
You know how to design and implement home automation solutions
You know the risks associated with home automation
Content
How do you design, implement and test an automation solution suitable for a smart home?
Evaluation scale
Approved/Failed