Course information

Timeline

Activities	Timeline	Tasks	Action by
Project Sourcing and Registration	Week -16 to Week -8	Team Formation Confirmation of Sponsor Project Sourcing & Requirements Gathering from Sponsor	Students
Proposal	Due before the start of Week -8	Proposal Submission (see table below for templates)	Students (Email to SMT Programme Director)
Decision on Proposal	Week -4	Review by SMT Programme Director (Acceptance/Rejection)	SMT Programme Director (Optional: Sponsor)
Supervisors Assignment	Week -1	Supervisors - Teams Assignment	Project Coordinator
Start of Project	Week 1	Supervisors - Teams	Students
Midterm	Week 7 to 9	Presentation	Students, Supervisor, SMT Programme Director (Optional: Sponsor)
Finals	Week 13 to 16	Presentation Report	Students, Supervisor, SMT Programme Director, Sponsor

Additional note: after acceptance of the project proposal, students will need to bid for IS483 (not SMT483) during BOSS2, and they should bid only e$10. If there is insufficient e$ balance in a student's account, they will not be able to enroll in IS483 even if their team's proposal is accepted.

SMT Project Experience Project Types

	Type I - Application Project	Type II - Smart City Analytical/Research Project
Team Size	4-6	2-3
Objective and Scope	To design and implement a smart city application that incorporates a combination of technology enablers, and which addresses an urbanisation, sustainability, or societal challenge in domains such as housing, environment, etc.	(Analytical) To conduct an evidence-based analysis of smart city blueprint (locally or overseas) or analytical models addressing an urbanisation, sustainability, or societal challenge in different domains such as housing, environment, etc. (Research) To conduct research based on an identified problem related to addressing a smart city challenge. The scope may include a new algorithm / approach, simulation, and/or analysis for urbanisation, sustainability, or societal challenge in different domains such as housing, environment, etc.
Recommended Skill-sets / Pre-requisites	You should have passed: IS111 Introduction to Programming, SMT203 Computational Social Science: Principles and Applications, IS112 Data Management For the AY2022 intake, IS212 Software Project Management is a co-requisite 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.
Project Sponsor / Supervisor	SCIS-sourced OR Self-sourced external sponsor OR SCIS faculty supervisor	SCIS-sourced OR Self-sourced external sponsor OR Faculty supervisor (from SCIS or any school) supervises team
Expected Outcomes	System prototype and documentation Midterm presentation Final presentation Final report	Proposal of the problem Wireframe/Proof-of-concept/analytical model/city blueprint along with evidence-based analysis Midterm presentation with approaches and initial findings Final presentation Final report Dashboard/analytical model, acceptance/review by sponsor
Available Period	Year 3 Term 1 onwards (Y3T2 onwards preferred)	Year 3 Term 1 onwards
Project Proposal Template	Download [[1]]	Download [[2]]

Course Assessments

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

(*) If needed, Type II projects may optionally complement their midterm presentation with a midterm report (discuss with your supervisor).

Course Assessment Details

Assessment Item	Type I - Application Project	Type II - Smart City Analytical/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
Mid-term	Project management Quality of project, including demo	Project management 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

Resources

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