Headings denoted with an asterisk ( * ) is retrieved from the course syllabus version Autumn 2021
Content and learning outcomes
Course contents
The concept of a “Smart City” reflects that ICT is increasingly integrated in all areas of urban development and urban living. It is also a reflection of how ICT is being designed with sustainability purposes.
The course will provide knowledge about the concept of Smart Cities and their relation to climate mitigation strategies. These strategies are geared toward the municipalities themselves, as well as urban actors across all city sectors, including companies, property owners, utilities, households, etc.
This course is project-based with a multidisciplinary approach, including environmental, technological, economic and social aspects. The basic aim of the course is to, on a system level, investigate and explore the potentials of the concept of “Smart Cities” in relation to the challenges associated with mitigation strategies for the cities of today and tomorrow.
Intended learning outcomes
After passed course the student should be able to:
· Describe and explain concepts of “Smart Cities” based on scientific literature and reports from case studies.
· Describe and discuss the mitigation challenges for the cities today and in the future.
· Investigate, analyze and explore “Smart City“ concepts and solutions in relation to the climate mitigation challenges for important urban development sectors, such as transportation, buildings, consumption, lifestyle, energy production, waste management, water management, etc.
· Complete a “Smart City” team-based project, related to climate mitigation on an urban level together with a relevant stakeholder such as a waste company, the municipality, or a local energy or water utility.
· In a written and oral form present the result from a project work in a scientifically acceptable form.
Learning activities
The course activities include lectures, practical activities (discussion seminars and computer labs), study visits and group project work.
Detailed plan
This year’s course will be conducted in a hybrid format, using both digital and campus-based learning activities. The objectives will be reached through engaging students in following learning activities:
Lectures
intro lecture
12 subject lectures, 2 hours each
Study visits
2 study visits (2 hours each)
preparatory and data crowdsourcing assignments
discussion seminar (2 hours)
Individual home assignment
Literature review
2 written essays
3 peer-reviews
2 literature discussion seminars (2 hours each)
Computer laboratories
3 self-paced labs
4 Q&A lab sessions (2 hours each)
lab quiz
Group project work
Intro and kick-off (4 hours each)
Group project work
Project proposals, time plan, weekly tracking
2 meetings with supervisors (1 hour each)
Presentation and poster
Report and group peer-review
Preparations before course start
Literature
No course literature is mandatory. Recommended reading is provided by each lecturer via respective modules in Canvas and is highly recommended for the preparation of the Literature Review and Group Project Work.
FLT2 - Study visit, 0.5 credits, Grading scale: P, F
LIT1 - Literature Assignment, 2.0 credits, Grading scale: P, F
NÄR1 - Attendance, 1.0 credits, Grading scale: P, F
PRO1 - Project, 4.0 credits, Grading scale: A, B, C, D, E, FX, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Ethical approach
All members of a group are responsible for the group's work.
In any assessment, every student shall honestly disclose any help received and sources used.
In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.
