Skip to main content

Module

CSC8112 : Internet of Things

  • Offered for Year: 2020/21
  • Module Leader(s): Professor Raj Ranjan
  • Lecturer: Dr Deepak Puthal
  • Owning School: Computing
  • Teaching Location: Newcastle City Campus
Semesters
Semester 1 Credit Value: 10
ECTS Credits: 5.0

Aims

The Internet of Things (IoT) is a distributed system, in which autonomous devices, sometimes called motes, collect environmental data (such as location, speed, temperature, humidity and sound level) or, more recently, medical data (such as heart rate, blood oxygen level and pulse rate). The data is collected across the network, aggregated and fed into data processing IoT applications. Sensor and actuator networks, telemetry, data processing, distributed data bases, machine vision, AI and analytics are enablers for IoT applications across multiple disciplines, including environmental monitoring and control, agricultural monitoring, healthcare, habitat monitoring and military surveillance.

In order to successfully design and build scalable application systems in the IoT, a range of knowledge and skills are needed. This module will introduce and examine the core concepts, theoretical underpinnings and software frameworks relevant to the IoT. It will describe the network protocols, hardware resources, data programming models, and virtualization technologies from which the IoT cloud infrastructure and applications are constructed. Methods for building scalable IoT applications that span across multiple parts of infrastructure (sensor, edge, and cloud) will be described and explained. Case studies drawn from industrial applications of IoT will be used throughout to motivate the teaching and learning process.

Outline Of Syllabus

The syllabus will cover following topics:
•       IoT theory, concepts, components and delivery models
•       IoT architecture and topologies
•       Sensors and Actuators in IoT
•       IoT Standards and Communication Protocols
•       Fundamentals of Software Defined Networking and its role in IoT
•       Issues and Challenges in building IoT applications
•       IoT Security and security standards
•       IoT and Blockchain
•       IoT in Context of Cloud Computing and Analytics
•       IoT and Edge/Fog Computing

Teaching Methods

Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.

Teaching Activities
Category Activity Number Length Student Hours Comment
Structured Guided LearningLecture materials91:009:00online delivery of course material
Guided Independent StudyAssessment preparation and completion101:0010:00Lecture material follow up
Structured Guided LearningAcademic skills activities91:009:00Exercises and Practical work
Guided Independent StudyProject work82:0016:00coursework
Scheduled Learning And Teaching ActivitiesDrop-in/surgery60:303:00PiP Q&A and review
Guided Independent StudyIndependent study501:0050:00background reading
Scheduled Learning And Teaching ActivitiesModule talk31:003:00Module talks over 3 week block scheduled online lecture
Total100:00
Teaching Rationale And Relationship

Lectures explain the underpinning principles for the module and technologies of Internet of Things. Lectures are complemented by supervised practical sessions to guide the application of these principles using suitable computational tools. Further practical work takes place during private study hours.

Assessment Methods

Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.

The format of resits will be determined by the Board of Examiners

Other Assessment
Description Semester When Set Percentage Comment
Report1M100Report describing the development of IoT system.IndividualReport(max5000words)Presentation synchronous(15mins)to modulelead/demonstr
Assessment Rationale And Relationship

A report tests the students' ability to apply the range of knowledge presented in the module. A practical develops and tests the students' ability to design and implement IoT systems.

Study abroad students option is available for this module, in this case the length of the exam may differ from that show in the MOF.

N.B. This module has both “Exam Assessment” and “Other Assessment” (e.g. coursework). If the total mark for either assessment falls below 40%, the maximum mark returned for the module will normally be 40%.

Reading Lists

Timetable