Course information ay20-21T2

Timeline

Milestone	Timeline	Activities	Action by
Project Sourcing and Registration	to Nov 15 2020	Teams Formation, Confirmation of Sponsor, Project Sourcing & Requirements Gathering from Sponsor	Course Manager
Proposal	Due on 15 Dec 2020	Proposal Submission	Students
Decision on Proposal	31 Dec 2020	Review by SMT Programme Director (Acceptance/Rejection)	SMT Programme Director (Optional: Sponsor)
Supervisor Assignment	Week -1	Supervisor - Teams Assignment	Project Coordinator
Start of Project	Week 1	Supervisor - Teams	Students
Midterm	Week 7 to 9	Presentation	Students, Supervisor, Reviewer (Option: Sponsor, Track Coordinator)
Finals	Week 13 to 16	Presentation	Students, Supervisor, Reviewer (Option: Sponsor, Track Coordinator)

SMT Project Experience Project Types

	Type I - Application Project	Type II - Smart City Analytical / Urban Planning Practicum Project	Type III - Research Project
Team Size	4-6	2-3	2
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 SIS Faculty supervisor	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]]	Download [[2]]	Download [[3]]

Course Assessments

Assessment Item(s)	Weightage (%)
	Type I - Application Project	Type II - Smart City Analytical / Urban Planning Practicum Project	Type III - Research Project
Project Proposal	10	10	10
Mid-term presentation / report*	20	30*	30
Final Presentation	40	20	30
Final Report/Paper*	30	40*	30
Total	100	100	100

Course Assessment Details

Assessment Item	Type I - Application Project	Type II - Smart City Analytical / Urban Planning Practicum Project	Type III - Research Project
Project Proposal	Clarity of project Project plan and schedule Benefits to society	Clarity of project Project plan and schedule Benefits to society Description of available data	Clarity of project Project plan and schedule Benefits to society List of references
Mid-term	Project management Quality of project, including demo	Project management Preliminary findings	Literature survey Preliminary findings
Final Presentation	Project management Quality of product Peer evaluation Project documentation	Project management Peer evaluation Data-driven / evidence-based insights	Main research findings
Report/Paper	Key findings to demonstrate value to sponsor and benefits to society Real challenges faced, mitigation steps and lessons learnt	Key findings to demonstrate value to sponsor and benefits to society Real challenges faced, mitigation steps and lessons learnt	Key findings to demonstrate value to sponsor and benefits to society Real challenges faced, mitigation steps and lessons learnt

Resources

Main Reference
https://wiki.smu.edu.sg/1819t2smt483/Main_Page

Other References

1. https://wiki.smu.edu.sg/is480/Main_Page
2. https://wiki.smu.edu.sg/ANLY482/Main_Page
3. https://sis.smu.edu.sg/programmes/undergraduate/beyond/rxu#process-apply-is470x1