Module Catalogues, Xi'an Jiaotong-Liverpool University   
 
Module Code: IOT205TC
Module Title: Group Project: IoT in Action
Module Level: Level 2
Module Credits: 5.00
Academic Year: 2021/22
Semester: SEM2
Originating Department: School of Internet of Things
Pre-requisites: N/A
   
Aims
The aim of the course is to provide an overview of the main trends and challenges in Internet of Things, models and applications. In particular, the course will emphasize the implications of Internet of Things applications and services using a hands on approach. In particular, the course ‘IoT in Action provides insight into the Internet of Things information organization, modeling entities and relationships, methods of data storage, and methods for detection and search, in particular shared user and sensor information. The knowledge is then used to provide detailed insights into how this can be used to create context-based applications in cooperation with other knowledge infrastructures (eg, Web) in a hands on way.


The course will involve a major coursework that will require students to work in pairs to design, build, and evaluate a practical IoT system. Students will be required to demonstrate their prototypes and present orally their projects at the end of the course, and document their designs and results in a detailed report.
Learning outcomes 
A. Understand core concepts in the integration of embedded computers, WSNs and everyday Things

B. Design and implement IoT based prototypes

C. Acquire good understanding of the Internet of Things concept and systems architecture

D. Operate with wireless technologies and networking protocols specific to IoT systems;

E. Become familiar with standard security and privacy preserving mechanisms, and understand different cloud integration methods

F. Design, implement, and test a simple IoT system equipped with sensors and wireless transceivers

G. Write technical documentation of a research project and results obtained by means of experiments in a workshop style paper format.
Method of teaching and learning 
Teaching consists of lectures, reading of literature and writing. The number of hours studied is estimated at approximately 200 hours including approximately 40 hours (20%) lectures. Approximately 160 hours (80%) of the time is study without a teacher that the student must devote to reading of literature and assignments.

One piece of formative assessment will consist of students submitting a short proposal document, outlining the planned IoT prototype. The second piece of assessment is summative and requires marking the workshop style papers that document the projects.

Students to work in pairs, the course would minimise the hardware resources required, while allowing examiners to distinguish between individual student contributions.

The concepts learned will be evaluated through written exam at the end of the semester.
Syllabus 
Week 1 and 2. Introduction: Internet of Things. Integration of embedded computers, WSNs and everyday Things; RFID/GRIFS, EPC, WSNs/Mobile, etc.


Week 3. Security and Privacy: Definitions, notions, relations, needs, threats, requirements; Privacy Enhancing Technologies (PET), etc.


Week 4 and 5. Decentralized and Interoperable Internet of Things: RESTful and Web-oriented approaches, Object-Information Distribution Architecture, Object Naming Service (ONS), Service Oriented Architecture, Network of Information, etc.


Week 6 and 7. Composition models for the Web of Things and resources on the Web: Discovery, search, Web mashups and other.


Week 8 and 9. Semantic technologies (e.g. ontologies, microformats, context, etc.) for describing and discovering things


Week 10 and 11. Interaction models and paradigms between human and things (mobile interfaces, etc).


Week 12-13. Concrete applications and use-cases of Web-enabled Things: Energy management & smart homes, Ambient Assisted Living, Intelligent Transport, etc.
Delivery Hours  
Lectures Seminars Tutorials Lab/Prcaticals Fieldwork / Placement Other(Private study) Total
Hours/Semester 26    13      111  150 

Assessment

Sequence Method % of Final Mark
1 Assessment 40.00
2 Final Exam 60.00

Module Catalogue generated from SITS CUT-OFF: 6/7/2020 3:57:14 AM