Course information

Course Overview

This course will provide opportunity for BSc(IS) student major in Smart-City Management & Technology to

• Develop an IT system or proof of concept application that satisfies a list of functional and quality requirements. Student will work with a team and practice their requirements gatherings, analysis, design, implementation, testing, deployment and project management skills.
• Build the addition depth required to become a Business IT professional. This includes building up competence in the student's selected track, applying their learning domain knowledge and technology to the relevant track domain industry sector.

SMT483 Project Experience Options

There are three different types of projects available under SMT483. You can refer to the table below for more concrete information.

	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 & 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 Skillsets / Pre-requisite	You should have passed SMT110/IS110 Programming, SMT203 SCSM, IS112 DM. Others highly recommended: Interaction Design & Prototyping, WAD I, WAD II, IoT	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	• SIS-sourced OR • Self-sourced external sponsor OR • Self-sponsored (entrepreneurial) SIS Faculty supervisor OR • Industry mentor (entrepreneurial project) supervises team	• SIS-sourced OR • Self-sourced external sponsor 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 & report	• Wireframe/Proof-of-concept/analytical model/city blueprint along with evidence-based analysis • Presentation & report, dashboard/analytical model, acceptance/review by sponsor	• Proposal of the research problem • Midterm report with approaches and initial findings • Final Presentation & research paper
When to take	• 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.)

Prerequisites

Student must pass the following module:

• SMT111 Programming for Smart City Solution
• SMT203 Smart City Systems and Management
• IS112 Data Management

(Others highly recommended modules: IS306 Interaction Design & Prototyping, IS113 Web Application Development I, IS439 Internet of Things: Technology and Applications)

Student must also be in year 3 or year 4 (Y3T2 onwards preferred). It can be an implementation extension of IDP, Guided Research Project, SCSM, IoT (approval by course coordinator required). Do note that this is a mandatory course for ALL SIS (IS) undergraduate students.

Learning Objectives

Upon completion of the course, student will be able to:

• Showcase expertise in executing a project using knowledge acquired from the courses taken from the IS curriculum
• Experience developing of some technology deliverable for an IT system or proof of concept
• Experience working in a team environment with a sponsored project (internal, external or self-proposed) using project management skills experience throughout the courses taken in IS
• Learn about an industry or technology that is related to his selected track not otherwise available in the course curriculum.
• Work on complex and real project used by the project sponsor

Project Timeline and Milestones

Academic Term	Timeline	Term 1/ Term 2	Action By
Project Sourcing	Week -12 to Week -4	Teams Formation, Project Sourcing & Requirements Gathering	Students
Proposal	Due by Week -4	Proposal Submission	Students
Supervisor Assignment	Week -3	Supervisors - Teams assignment	Project Coordinator
Acceptance	Week 0	Acceptance, Presentation	Track Coordinator, Students, (Optional: Sponsor)
Midterm	Week 7 to 9	Presentation	Students, Supervisor, Reviewer, (Optional: Sponsor, Track Coordinator)
Finals	Week 13 to Week 16	Presentation	Students, Track Coordinator, Supervisor, Reviewer, (Optional: Sponsor)

Project Sourcing: You may select projects listed on the wiki's individual track link for your track project or you may self-source your own projects with the companies. For self-source projects, please approach your track coordinator to verify if the project is suitable to for the track.

Proposal Submission: To be submitted on IS Project Experience eLearn. Please check the announcements on the eLearn for submission deadline.

Proposal Submission template: Download Proposal template from Resource link below.

Grading

Grading components
Proposal/Acceptance [10%] (by TC)
Midterm [30%] (by Supervisor, Reviewer)
Final Presentation [50%] (by Supervisor, Reviewer)
1 min Project Video [5%] (by Supervisor)
Poster [5%] (by Supervisor)

Individual grading
At the end of the course, peer evaluation within team (+ or -)

Roles and Responsibilities

Track Coordinator – (All Tracks)

• Create and maintain both course design documents for Track X (Application and Research)
• Arrange project briefing to students and supervisors- optional (Week 1)
• Manage the Requirements + Scoping of projects
• App Projects and Research projects
• Preparing the proposal doc outline and share with students
• Project requirements
• Alignment to track
• Time line
• Solution approach
• Technology
• Any preliminary design/analysis/research
• Manage Grading regulations
• App Projects and Research projects

Project supervisor Supervision is not track dependent. Faculty from any track can supervise the IS projects.

• Weekly/Bi-Weekly supervisions
• Tracking Project progress (PM skills)
• Participation during the milestones’ timeline
• Grading

Project Co-ordinator The project coordinator is the instructor who manages the admin aspects of the course

• IS Project process management
• Wiki management
• Policy management
• Posters Submission & Poster day
• Award Management (Awards - Best track project, Best IS project)

Resources

1. Proposal Template [docx]