Course information

Please refer to the table below for more 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