Difference between revisions of "Course information"

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Please refer to the table below for more information about SMT483: Project Experience
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Please refer to the table below for more concrete information about SMT483: Project Experience.
 
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Revision as of 14:14, 5 June 2019

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