Course information ay20-21T2

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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
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