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Digitalisaatio korjausrakentamisessa (2cr)

Code: XX00DU48-3002

General information


Timing
20.10.2025 - 31.12.2025
Implementation is running.
Number of ECTS credits allocated
2 cr
Campus
SeAMK Seinäjoki, Frami
Teaching languages
Finnish
Degree programmes
Bachelor of Engineering, Construction Engineering
Bachelor of Construction Site Management
Teachers
Juho Lohilahti
Scheduling groups
Avoin AMK (Ei koske tutkinto-opiskelijaa) (Size: 10 . Open UAS : 10.)
Small groups
Open UAS (Doesn't apply to degree student)
Course
XX00DU48

Evaluation scale

Passed/failed

Objective

The objective of the Digitalization in Renovation Construction course is to equip students with the skills to utilize digital tools used in the construction industry. The course covers the basics of building information modeling (BIM) and, in particular, inventory modelling, introducing the principles of their use and application. Additionally, the course aims to present the use of artificial intelligence (AI) and explore how it can be applied in renovation construction.
Upon completion, the student will be able to:
• Utilize digital tools and artificial intelligence in renovation construction
• Apply general building information modelling (BIM) requirements in renovation construction
• Utilize tools designed for analysing building information models in renovation construction

Content

• Different digital tools and technologies in renovation construction
• Practical examples of applying digitalization in renovation projects
• Utilizing building information models in renovation construction
• Basics of building information modeling
• Using tools suitable for analyzing and commenting on building information models and other tasks

Location and time

FULLY INDEPENDENT ONLINE STUDY

The studies allow for completion according to your own schedule.

Materials

Lecturer's own material
RT Building Information File
Jäväjä & Lehtoviita, Tietomallintaminen talonrakennustyömaalla
YTV2012

Teaching methods

FULLY INDEPENDENT ONLINE STUDY:

The study is conducted online in the Moodle learning environment. The study is carried out independently at your own pace during the implementation period. The study does not include joint meetings or pair or group work.

The student familiarizes themselves with the theoretical material, completes online assignments / practice project / exam according to the given instructions. The study requires independent work and scheduling.

Student workload

The workload of the study is designed so that one credit corresponds to an average of 27 hours of student work to achieve the learning objectives. The actual time required varies individually, e.g., due to prior knowledge.

Assessment criteria, approved/failed

Accepted:

The student recognizes the impact of utilizing digital tools in renovation construction.
The student is able to use some of the most common digital tools in the planning and execution of renovation projects.
The student is familiar with the basic concepts of Building Information Modeling (BIM).
The student can use software suitable for analyzing BIM models.
The student can retrieve and interpret data contained in BIM models.
The student has submitted all the assignments required for the course.

Rejected:

The student does not demonstrate an understanding of digital tools or how they can be utilized in the context of renovation construction.
The student fails to submit assignments, or the submitted assignments do not demonstrate even a minimal understanding of the learning objectives.

Assessment criteria, approved/failed

renovation projects.
• The student is familiar with the concepts of building information modeling (BIM).
• The student can use software suitable for analyzing building information models.
• The student can retrieve and interpret data contained in building information models.
• The student has submitted all assignments required for the course.
Fail:
• The student does not demonstrate knowledge of digital tools or how they can be utilized in renovation construction.
• The student does not submit assignments at all, or the submitted assignments do not demonstrate even a minimal understanding of the course learning outcomes.

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