Software 2 (15 ECTS)
Code: TX00FX26-3004
General information
- Timing
-
20.10.2025 - 14.12.2025
The implementation has not yet started.
- Number of ECTS credits allocated
- 15 ECTS
- Mode of delivery
- On-campus
- Unit
- School of ICT and Industrial Management
- Campus
- Karaportti 2
- Teaching languages
- English
- Seats
- 0 - 35
- Degree programmes
- Degree Programme in Information Technology
- Groups
-
TXL25S1-DInformation Technology, group D
- Course
- TX00FX26
Implementation has 49 reservations. Total duration of reservations is 147 h 0 min.
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Mon 20.10.2025 time 09:00 - 12:00 (3 h 0 min) |
Software 2 TX00FX26-3004 |
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Mon 20.10.2025 time 13:00 - 16:00 (3 h 0 min) |
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Tue 21.10.2025 time 09:00 - 12:00 (3 h 0 min) |
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Wed 22.10.2025 time 09:00 - 12:00 (3 h 0 min) |
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Thu 23.10.2025 time 13:00 - 16:00 (3 h 0 min) |
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Fri 24.10.2025 time 09:00 - 12:00 (3 h 0 min) |
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Mon 27.10.2025 time 09:00 - 12:00 (3 h 0 min) |
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Mon 27.10.2025 time 13:00 - 16:00 (3 h 0 min) |
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Tue 28.10.2025 time 09:00 - 12:00 (3 h 0 min) |
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Wed 29.10.2025 time 09:00 - 12:00 (3 h 0 min) |
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Thu 30.10.2025 time 13:00 - 16:00 (3 h 0 min) |
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Fri 31.10.2025 time 09:00 - 12:00 (3 h 0 min) |
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Mon 03.11.2025 time 09:00 - 12:00 (3 h 0 min) |
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Mon 03.11.2025 time 13:00 - 16:00 (3 h 0 min) |
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Tue 04.11.2025 time 09:00 - 12:00 (3 h 0 min) |
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Wed 05.11.2025 time 09:00 - 12:00 (3 h 0 min) |
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Thu 06.11.2025 time 13:00 - 16:00 (3 h 0 min) |
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Fri 07.11.2025 time 09:00 - 12:00 (3 h 0 min) |
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Mon 10.11.2025 time 09:00 - 12:00 (3 h 0 min) |
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Mon 10.11.2025 time 13:00 - 16:00 (3 h 0 min) |
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Tue 11.11.2025 time 09:00 - 12:00 (3 h 0 min) |
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Wed 12.11.2025 time 09:00 - 12:00 (3 h 0 min) |
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Thu 13.11.2025 time 13:00 - 16:00 (3 h 0 min) |
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Fri 14.11.2025 time 09:00 - 12:00 (3 h 0 min) |
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Mon 17.11.2025 time 09:00 - 12:00 (3 h 0 min) |
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Mon 17.11.2025 time 13:00 - 16:00 (3 h 0 min) |
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Tue 18.11.2025 time 09:00 - 12:00 (3 h 0 min) |
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Wed 19.11.2025 time 09:00 - 12:00 (3 h 0 min) |
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Wed 19.11.2025 time 13:00 - 16:00 (3 h 0 min) |
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Thu 20.11.2025 time 13:00 - 16:00 (3 h 0 min) |
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Fri 21.11.2025 time 09:00 - 12:00 (3 h 0 min) |
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Mon 24.11.2025 time 09:00 - 12:00 (3 h 0 min) |
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Mon 24.11.2025 time 13:00 - 16:00 (3 h 0 min) |
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Tue 25.11.2025 time 09:00 - 12:00 (3 h 0 min) |
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Wed 26.11.2025 time 09:00 - 12:00 (3 h 0 min) |
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Thu 27.11.2025 time 13:00 - 16:00 (3 h 0 min) |
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Fri 28.11.2025 time 09:00 - 12:00 (3 h 0 min) |
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Mon 01.12.2025 time 09:00 - 12:00 (3 h 0 min) |
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Mon 01.12.2025 time 13:00 - 16:00 (3 h 0 min) |
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Tue 02.12.2025 time 09:00 - 12:00 (3 h 0 min) |
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Wed 03.12.2025 time 09:00 - 12:00 (3 h 0 min) |
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Thu 04.12.2025 time 13:00 - 16:00 (3 h 0 min) |
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Fri 05.12.2025 time 09:00 - 12:00 (3 h 0 min) |
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Mon 08.12.2025 time 09:00 - 12:00 (3 h 0 min) |
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Mon 08.12.2025 time 13:00 - 16:00 (3 h 0 min) |
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Tue 09.12.2025 time 09:00 - 12:00 (3 h 0 min) |
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Wed 10.12.2025 time 09:00 - 12:00 (3 h 0 min) |
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Thu 11.12.2025 time 13:00 - 16:00 (3 h 0 min) |
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Fri 12.12.2025 time 09:00 - 12:00 (3 h 0 min) |
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Objective
On completion of the course the student
• knows the basic skills of object-oriented programming and web development
• is familiar with open application interfaces and is able to utilise these in their own applications
• is able to carry out a small software development project and to document the resulting output at a sufficient level
• knows the principles of software testing
• becomes acquainted with mathematical-scientific concepts and tools that form the basis of engineering education
• understands the connection of these contents to different aspects of information and communication technology and are able to apply the methods they have learned in practical problem solving
• is able to act as active members of a project group and communicate in English appropriately in oral and written interaction situations typical for project work.
After completing the basic course in artificial intelligence, the student will understand the principles of large language models and their advantages and disadvantages. They will be able to use AI in a responsible and ethical way in learning, taking responsibility for the content of their own work and following good scientific practice.
Content
• Basics of object-oriented programming
• Basics of web development
• Use of open application interfaces
• Code documentation and commenting
• Design and implementation of a small software project
• Basic concepts of vector computing and calculations
• Describing force, energy, and periodic motion
• Oral and written project communication in English
• Orientation to the professional field and studying
• Training and critically evaluating your own AI model. Understanding the concepts underlying AI and the correct context of use
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student
• has achieved the objectives of the course to a satisfactory level
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise.
Assessment criteria, good (3)
The student
• has achieved the objectives of the course well, although there are still areas where knowledge and skills need to be improved
• has a good understanding of the concepts and models of the subject matter of the course and is able to carry out a reasoned analysis
• is able to apply what they have learned in learning and working life situations
• understands the importance of expertise in the field and is able to analyse their own expertise.
Assessment criteria, excellent (5)
The student
• has achieved the objectives of the course with excellent marks
• has an excellent command of the concepts and models of the subject matter of the course
• is able to analyse clearly and reasonably and propose practical development measures
• has a good ability to apply what they have learned in learning and working life situations
• is able to analyse expertise in their field and their own development towards expertise.
Assessment criteria, approved/failed
The student
• has achieved the objectives of the course to a satisfactory level
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise.