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Communication Systems in Building Automation (5 cr)

Code: TX00EW95-3003

General information


Enrollment
01.05.2024 - 31.05.2024
Registration for the implementation has ended.
Timing
19.08.2024 - 11.10.2024
Implementation has ended.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
On-campus
Campus
Leiritie 1
Teaching languages
Finnish
Seats
20 - 40
Teachers
Jarno Nurmio
Jarmo Tapio
Teacher in charge
Raisa Kallio
Groups
TXF21S2
Talotekniikan tutkinto-ohjelma monimuoto
SA21S
Automaatiotekniikan pääaine, syksyllä 2021 aloittaneet päiväopiskelijat
TXF21S1
Talotekniikan tutkinto-ohjelma päivä
Course
TX00EW95

Implementation has 20 reservations. Total duration of reservations is 45 h 30 min.

Time Topic Location
Mon 19.08.2024 time 08:00 - 10:00
(2 h 0 min)
Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003
MMA125 Oppimistila
Mon 19.08.2024 time 10:00 - 13:00
(3 h 0 min)
Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003
MMB340 IT-Tila, CAD
Wed 21.08.2024 time 09:00 - 11:00
(2 h 0 min)
Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003
MMB340 IT-Tila, CAD
Mon 26.08.2024 time 08:00 - 10:00
(2 h 0 min)
Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003
MMA125 Oppimistila
Wed 28.08.2024 time 09:00 - 11:00
(2 h 0 min)
Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003
MMB340 IT-Tila, CAD
Fri 30.08.2024 time 10:00 - 13:00
(3 h 0 min)
Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003
MMB344 IT-Tila, CAD
Mon 02.09.2024 time 08:00 - 10:00
(2 h 0 min)
Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003
MMA125 Oppimistila
Mon 02.09.2024 time 10:00 - 13:00
(3 h 0 min)
Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003
MMB340 IT-Tila, CAD
Wed 04.09.2024 time 09:00 - 11:00
(2 h 0 min)
Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003
MMB340 IT-Tila, CAD
Mon 09.09.2024 time 08:00 - 10:00
(2 h 0 min)
Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003
MMA125 Oppimistila
Mon 09.09.2024 time 10:00 - 13:00
(3 h 0 min)
Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003
MMB340 IT-Tila, CAD
Wed 11.09.2024 time 09:00 - 11:00
(2 h 0 min)
Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003
MMB340 IT-Tila, CAD
Mon 16.09.2024 time 08:00 - 10:00
(2 h 0 min)
Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003
MMA125 Oppimistila
Mon 16.09.2024 time 10:00 - 13:00
(3 h 0 min)
Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003
MMB340 IT-Tila, CAD
Wed 18.09.2024 time 09:00 - 11:00
(2 h 0 min)
Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003
MMB340 IT-Tila, CAD
Mon 23.09.2024 time 08:00 - 10:00
(2 h 0 min)
Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003
MMA125 Oppimistila
Mon 23.09.2024 time 11:00 - 13:00
(2 h 0 min)
Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003
MPA6016 SmartLab
Wed 25.09.2024 time 09:00 - 11:00
(2 h 0 min)
Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003
MMB340 IT-Tila, CAD
Mon 30.09.2024 time 11:00 - 12:30
(1 h 30 min)
Schneider Electric Innovation Hub Excursio, Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003

Mon 07.10.2024 time 10:00 - 13:00
(3 h 0 min)
Rakennusautomaation väylät, vastaanotto ja käyttö TX00EW95-3003
MMB340 IT-Tila, CAD
Changes to reservations may be possible.

Objective

• The student is familiar with the structure of building automation systems, the principles of communication pathways used in building automation, structural requirements, relevant standards, regulations, and technical guidelines.
• The student can read technical documents related to building automation network technology, create technical plans concerning them, and monitor building conditions through the control room interface.

Content

• Fundamentals of Network Technology
• Building Automation Networks and their Operating Principles: Ethernet, Modbus, Mbus, BACnet, and KNX.
• Design, Implementation, Commissioning, and Documentation of KNX Networks
• Building Automation User Interfaces

Location and time

We will meet according to the schedule.

Materials

The material of each part is published/announced in the moodle workspace.

Teaching methods

We mainly use work forms: face-to-face teaching, lectures, class assignments, self-study assignments, learning by doing, group work and practice assignments.

Exam schedules

The exams of the each part are organized during the implementation period of the study course. For renewals, we comply with article 34 of the degree regulations.

Completion alternatives

Deviations from the implementation plan must be agreed with the teacher of the each part.

Student workload

We use the European Credit Transfer and Accumulation System (ECTS), where one credit corresponds to approximately 25-30 hours of work. If the topics are familiar, the actual time may be shorter. The time spent by the participant and the load caused by the work are discussed in the implementation plan of each part.

Content scheduling

The course consists of several implementation parts. Each part has its own teacher and its own implementation plan.

Further information

The implementation plan describes the work forms of the course, performance requirements, performance organization, schedule, attendance requirements, feedback forms and evaluation criteria. The above-mentioned information will be discussed in more detail with the students at the beginning of the implementation of the course.

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development. The student has completed the required learning exercises in minimum requirement level. His/her competences have developed in a way that he/she may complete the remaining studies and finally work in a suitable job position related to this field.

Assessment criteria, good (3)

The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field and is able to analyze his/her own expertise.

Assessment criteria, excellent (5)

The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply their knowledge study and work situations. Students are able to analyze the expertise and the evolvement of their own expertise.

Assessment methods and criteria

The grade of the course is based on the learning objectives of the course and the performance of the participant. The issue is described in more detail in the implementation plan of the each part. The grade of the entire course is calculated when all the parts have been successfully completed.

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