Working in Smart CitiesLaajuus (5 cr)
Study unit code: HY00BU47
Credits
5 op
Learning outcomes
Student is able to:
-Explain the forces behind evolution of cities
-Analyse trends in real-estate market
-Forecast the development of urban environment
-Identify digital aspects of cityscape and analyse possibilities and risks of smart cities
Enrollment
27.11.2023 - 31.10.2024
Timing
01.01.2024 - 31.12.2024
Number of ECTS credits allocated
5 op
Virtual proportion
5 op
RDI proportion
1 op
Mode of delivery
Distance learning
Unit
Korkeakouluyksikkö D /YAMK
Campus
Laurea Virtual Campus
Teaching languages
- English
Seats
40 - 110
Degree programmes
- Complementary competence, master’s studies in English (CYJ2), Generic studies
- Complementary competence, Master’s studies (TYJ), Generic Studies
Teachers
- Kaisa Airo
Teacher in charge
Kaisa Airo
Scheduling groups
- Avoin AMK 1 (Size: 100. Open UAS: 100.)
Groups
-
TYJ23SJTäydentävä osaaminen (yamk-tutkinto), S23, yhteiset opinnot
-
CYJ23SJComplementary competence (master’s studies in English), S23, Generic studies
Small groups
- Avoin AMK 1
Learning outcomes
Student is able to:
-Explain the forces behind evolution of cities
-Analyse trends in real-estate market
-Forecast the development of urban environment
-Identify digital aspects of cityscape and analyse possibilities and risks of smart cities
Teaching methods
The study unit can be carried out independently. The course will include 5 independent assignments, which will be combined as a portfolio. The course will elaborate themes of:
1: Evolving cities
2: AI in built environment
3: Digitalized cities
4: Smart city -concept and platform economics
5: Sustainability of cities and real estate standards
Location and time
The study unit will be conducted completely online. In addition student can enroll to the course untill the end of the year 2024 as it is hop on/hop off course without spesific deadlines. It does not include any contact teaching or lecturing. So the student is free to complete the course flexible.
Learning materials and recommended literature
The literature is informed in canvas -space.
Important dates
There will be an orientation lecture on 23.1.2024, which will be recorded. The orientation is not mandatory and can be watched later from canvas-space.
Forms of internationality
The study-unit is open for any national or international student.
Students workload
The independent work will require self-management and time -management skills. The 5 assignments are not extensive, but require high academic skills and analytical mindset.
Content and scheduling
During the study unit students will look at the history and the future of urban scape. They will be introduced to urban economics, real-estate markets and the evolution of digital cities. The students will be introduced to digital concepts of Internet of Things, Big data, ArtificiaI Intelligence and Internet Economy and their effects to the physical enviroment. In addition they analyse the working and living in digital urban environments.
Grading scale
H-5
Evaluation methods and criteria
The study unit will be evaluated based on learning objectives and general evaluation criteria of Laurea UAS.
Enrollment
28.11.2022 - 30.09.2023
Timing
01.01.2023 - 31.07.2023
Number of ECTS credits allocated
5 op
Virtual proportion
5 op
RDI proportion
1 op
Mode of delivery
Distance learning
Unit
Korkeakouluyksikkö D, Tikkurila, liko
Campus
Laurea Virtual Campus
Teaching languages
- English
Seats
5 - 100
Degree programmes
- Complementary competence, master’s studies in English (CYJ2), Generic studies
- Complementary competence, Master’s studies (TYJ), Generic Studies
- Studies at Open University of Applied Sciences, YAMK
Teachers
- Kaisa Airo
Teacher in charge
Kaisa Airo
Scheduling groups
- Open UAS (Size: 100. Open UAS: 100.)
Groups
-
CYJ23KJComplementary competence (master’s studies in English), K23, Generic studies
-
TYJ23KJTäydentävä osaaminen (yamk-tutkinto), K23, yhteiset opinnot
Small groups
- Open UAS
Learning outcomes
Student is able to:
-Explain the forces behind evolution of cities
-Analyse trends in real-estate market
-Forecast the development of urban environment
-Identify digital aspects of cityscape and analyse possibilities and risks of smart cities
Teaching methods
The study unit can be carried out independently. The course will include preliminary assignment and 5 independent assignments, which will be combined as a portfolio. The course will elaborate themes of:
1: Evolving cities
2: AI in built environment
3: Digitalized cities
4: Smart city -concept and platform economics
5: Sustainability of cities and real estate standards
Location and time
The study unit will be conducted completely online. It does not include any contact teaching or lecturing. So the student is free to complete the course flexible.
Learning materials and recommended literature
The literature is informed in canvas -space.
Forms of internationality
The study-unit is open for any national or international student.
Students workload
The independent work will require self-management and time -management skills. The 5 assignments are not extensive, but require high academic skills and analytical mindset.
Content and scheduling
During the study unit students will look at the history and the future of urban scape. They will be introduced to urban economics, real-estate markets and the evolution of digital cities. The students will be introduced to digital concepts of Internet of Things, Big data, ArtificiaI Intelligence and Internet Economy and their effects to the physical enviroment. In addition they analyse the working and living in digital urban environments.
Grading scale
H-5
Evaluation methods and criteria
The study unit will be evaluated based on learning objectives and general evaluation criteria of Laurea UAS.
Enrollment
02.12.2021 - 31.12.2021
Timing
01.01.2022 - 31.07.2022
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Korkeakouluyksikkö D /YAMK
Teaching languages
- Finnish
Degree programmes
- Innovative Workplace Management
Groups
-
UHD22KUInnovative Workplace Management
Learning outcomes
Student is able to:
-Explain the forces behind evolution of cities
-Analyse trends in real-estate market
-Forecast the development of urban environment
-Identify digital aspects of cityscape and analyse possibilities and risks of smart cities
Grading scale
Approved/Failed
Enrollment
02.12.2021 - 02.01.2022
Timing
01.01.2022 - 31.07.2022
Number of ECTS credits allocated
5 op
Virtual proportion
5 op
RDI proportion
5 op
Mode of delivery
Distance learning
Unit
Korkeakouluyksikkö D /YAMK
Campus
Laurea Virtual Campus
Teaching languages
- English
Seats
20 - 60
Degree programmes
- Complementary competence, master’s studies in English (CYJ2), Generic studies
Teachers
- Peppi Ylläpito
- Kaisa Airo
Teacher in charge
Kaisa Airo
Scheduling groups
- Pienryhmä 1 (Size: 15. Open UAS: 15.)
Groups
-
CYJ22KJComplementary competence (master’s studies in English), K22, Generic studies
-
TYJ22KJTäydentävä osaaminen (yamk-tutkinto), K22, yhteiset opinnot
Small groups
- Pienryhmä 1
Learning outcomes
Student is able to:
-Explain the forces behind evolution of cities
-Analyse trends in real-estate market
-Forecast the development of urban environment
-Identify digital aspects of cityscape and analyse possibilities and risks of smart cities
Teaching methods
The study unit will take place from March 2022 to May 2022. It will consist of two whole day online-lectures, teamwrok and preliminary assignments.
Location and time
The study unit will be conducted completely online.
Forms of internationality
The study-unit is open for any national or international student, hence the students will work in international teams and company cases.
Content and scheduling
During the study unit students will look at the history and the future of urban scape. They will be introduced to urban economics, real-estate markets and the evolution of digital cities. The students will be introduced to digital concepts of Internet of Things, Big data, ArtificiaI Intelligence and Internet Economy and their effects to the physical enviroment. In addition they analyse the working and living in digital urban environments.
Grading scale
Approved/Failed