Modules

Core Module Information
Module title: IoT and Autonomous Systems
SCQF level: 11:
SCQF credit value: 20.00
ECTS credit value: 10
Module code: ELE11118
Module leader: Berk Canberk
School School of Computing, Engineering and the Built Environment
Subject area group: Cyber Security and Systems Engineering
Prerequisites

There are no pre-requisites for this module to be added
Description of module content:

Internet of Things (IoT) is an emerging network of physical objects that connects various sensors, software, and other technologies to the Internet. The aim of this module is to learn about design and development of IoT systems, including embedded architecture of IoT, technologies and autonomous systems. On this module you will learn concepts, practical aspects and applications of sensors, wireless technologies, robotic systems, data collection (and related processing technologies) for remote control of objects. The following topics will be covered: Introduction to Internet of Things, basic concepts and the state of the art technology used in IoT systems. Transducers and sensors Drones and Autonomous Underwater Vehicles (AUV) Autonomous systems sub-components : Sensors, motion control and intelligent decision making (i.e. an introduction to Artificial Intelligence and Machine Learning Techniques).
Learning Outcomes for module:

Upon completion of this module you will be able to

LO1: Describe and evaluate key technologies related to Internet-of-Things and their applications for autonomous systems.

LO2: Describe and discuss a comprehensive understanding of the data transmission and processing for IoT systems.

LO3: Demonstrate the appropriate standards in designing and implementing IoT hardware.

LO4: Develop through project-based coursework the necessary skills to conduct modelling and experimental studies of autonomous systems to gain new knowledge and understanding.

LO5: Demonstrate the software developments and techniques for embedded IoT systems.
Full Details of Teaching and Assessment
2023/4, Trimester 2, In Person,
VIEW FULL DETAILS
Occurrence: 001
Primary mode of delivery: In Person
Location of delivery: MERCHISTON
Partner:
Member of staff responsible for delivering module: Berk Canberk
Module Organiser:


Student Activity (Notional Equivalent Study Hours (NESH))
Mode of activityLearning & Teaching ActivityNESH (Study Hours)
Face To Face Lecture 15
Face To Face Tutorial 6
Face To Face Practical classes and workshops 12
Online Guided independent study 150
Total Study Hours183
Expected Total Study Hours for Module183


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words
Report 60 3~4~5 12 , WORDS= 3000
Final Year Project 40 1~2~3~4~5 13 , WORDS= 3000
Component 1 subtotal: 60
Component 2 subtotal: 40
Module subtotal: 100

Indicative References and Reading List - URL:
ELE11118 IoT and Autonomous Systems Engineering
 

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