Course information

Please refer to the table below for more concrete information about SMT483: Project Experience.

	Type I - Application Project	Type II - Smart City Analytical / Urban Planning Practicum Project	Type III - Research Project
Team Size	4-6	2-3	1 (GPA > 3.4)
Objective and Scope	To design and implement a smart city application that incorporates combination of technology enablers and a solution addressing an urbanization and/or societal challenge.	To conduct an evidence-based analysis of smart city blueprint (locally or overseas) or analytical models addressing an urbanization and/or societal challenge.	To conduct an research based on an identified problem related to addressing a smart city challenge. The scope may include new algorithm / approach, simulation and analysis of an urbanization or societal challenge.
Recommended Skill-sets / Pre-requisites	● You should have passed SMT110/IS110 Introduction to Programming, SMT203 Smart City Systems and Management, IS112 Data Management ● Other highly recommended courses: Interaction Design & Prototyping, Web Application Development I & II, Internet of Things	● Empirical Studies, Research Methods, Analytics Foundation, Geographic Information Systems, Sustainable (Digital) Cities, Introduction to Public Policy.	● Empirical Studies, Research Methods, domain-specific (e.g., healthcare, logistics) or project-specific technical skills (e.g., data mining, text mining). Skills requirement varies from project to project depends on supervisor.
Project Sponsor / Supervisor	● SIS-sourced OR ● Self-sourced external sponsor OR ● Self-sponsored (entrepreneurial) OR ● SIS Faculty supervisor or industry mentor (entrepreneurial project) supervises team	● SIS-sourced OR ● Self-sourced external sponsor OR ● Faculty supervisor (SIS or other school’s) supervises team	● SMU faculty (student to find relevant faculty from any school offering guided research project or independent study)
Expected Outcomes	● System prototype and documentation ● Presentation and report	● Wireframe/Proof-of-concept/analytical model/city blueprint along with evidence-based analysis ● Presentation and report, dashboard/analytical model, acceptance/review by sponsor	● Proposal of the research problem ● Midterm report with approaches and initial findings ● Final Presentation and research paper
Available Period	● Year 3 Term 1 onwards (Y3T2 onwards preferred) ● It can be an implementation extension of IDP, Guided Research Project, SCSM, IoT (approval by course coordinator required).	● Year 3 Term 1 onwards ● It can be an analytics focused project based on continuation of another project from another "approved" course e.g., SCSM, Data Mining, GIS, IOT course (approval by course coordinator required).	● Year 3 Term 1 onwards
Project Proposal Deadline	One week before term starts	One week before term starts	One week before term starts. Your supervisor must agree to the proposal and to supervise you
Project Proposal Template	#Download [[1]]	One week before term starts	One week before term starts. Your supervisor must agree to the proposal and to supervise you