EEE8121 : Internet of Things and Wireless Sensor Networks (Coursework)
EEE8121 : Internet of Things and Wireless Sensor Networks (Coursework)
- Offered for Year: 2024/25
- Module Leader(s): Professor Gui Yun Tian
- Owning School: Engineering
- Teaching Location: Newcastle City Campus
Semesters
Your programme is made up of credits, the total differs on programme to programme.
| Semester 1 Credit Value: | 20 |
| ECTS Credits: | 10.0 |
| European Credit Transfer System | |
Pre-requisite
Modules you must have done previously to study this module
Pre Requisite Comment
Undergraduate degree level knowledge of electronics, hardware and software, digital signal processing and communications. Basic knowledge in wireless network. Basic MATLAB and C programming knowledge for the lab sessions.
Co-Requisite
Modules you need to take at the same time
Co Requisite Comment
N/A
Aims
To ensure students have a sound knowledge of the fundamental concepts of multimodality sensing, data acquisition and their applications including data fusion and visualisation.
To give students practical experience of wireless networking for computers, embedded devices or sensors, building upon the complementary taught module “Wireless Networks”.
Outline Of Syllabus
The IoTs and a ZigBee-based wireless communication standard are used, together with a PIC, ESP32 or other microcontroller architecture, to provide a very flexible platform for the development of wireless sensor networks. Groups of 3-5 students will develop wireless sensor modules which each must communicate with a “master” node. Each group must interface a different sensor technology and then implement a suitable network protocol. The students must write code in embedded C and LabView or Python to implement their network protocol and data management
Learning Outcomes
Intended Knowledge Outcomes
Design or use multimodality sensor systems
Use wireless network protocols
Use technologies for the implementation of IOTs, wireless networks and sensor networks.
Apply and analyse data management and visualisation
Intended Skill Outcomes
Use embedded microprocessor code development using C and/or other language.
Apply Wireless network design.
Practice IOTs interface and development.
Apply Sensor systems and circuit design.
Analyse Data fusion and visualisation
Teaching Methods
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 12 | 1:00 | 12:00 | N/A |
| Guided Independent Study | Assessment preparation and completion | 1 | 15:00 | 15:00 | Report |
| Guided Independent Study | Assessment preparation and completion | 1 | 3:00 | 3:00 | Demonstration preparation |
| Guided Independent Study | Assessment preparation and completion | 1 | 0:15 | 0:15 | Demonstration |
| Scheduled Learning And Teaching Activities | Practical | 3 | 3:00 | 9:00 | Circuit construction - distributed co-design |
| Scheduled Learning And Teaching Activities | Practical | 10 | 3:00 | 30:00 | Software development - mixed reality programming |
| Guided Independent Study | Skills practice | 12 | 3:00 | 36:00 | Hardware and Software development |
| Guided Independent Study | Independent study | 1 | 94:45 | 94:45 | General reading and practice |
| Total | 200:00 |
Teaching Rationale And Relationship
Learning outcomes are achieved by a combination of lectures and self-directed learning (SDL). In the lectures, the students are introduced to the IOTs, WSN systems and data and its application to the field of error detection/correction in digital communication systems, while in the SDL part of the module, the taught material is applied by the students to investigate via C/C++, LabView/MATLAB simulations the error performance of a digital communication link that employs error control coding.
Reading Lists
Assessment Methods
The format of resits will be determined by the Board of Examiners
Exams
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Oral Examination | 15 | 1 | M | 35 | Individual elements as well as group work |
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Report | 1 | M | 65 | Project report - minimum length 4500 words (approx. 12-15 pages) to be completed in groups of 3-5 with relevant individual elements able to as well as group integration. |
Formative Assessments
Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.
| Description | Semester | When Set | Comment |
|---|---|---|---|
| Report | 1 | M | feedback on a systematic diagram of group project and/or a draft of their final report to identify any major issues before submission |
Assessment Rationale And Relationship
The module is assessed via report writing, hardware and software development, algorithms and demonstration. Report writing assesses the understanding of underlying theoretical concepts, while design, implementation and system function is assessed via hardware/software development and demonstration. The literature review of IoTs, group management and project reflection will also be assessed.
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- EEE8121's Timetable
Past Exam Papers
- Exam Papers Online : www.ncl.ac.uk/exam.papers/
- EEE8121's past Exam Papers
General Notes
N/A
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