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
2024/5, 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)NESH Description
Face To Face Lecture 18 Each week you attend a lecture where we will use various interactive activities to stimulate critical thinking, and foster a collaborative environment to enhance your understanding and retention of the module content.
Face To Face Tutorial 9 Tutorials and seminars are designed to encourage active participation, facilitate problem-solving, provide personalised feedback, and promote peer interaction to deepen comprehension and skills. Appropriate questions will be provided to support your preparation for assessments and promote understanding of the concepts from the lectures.
Face To Face Practical classes and workshops 15 Hands-on activities will be an opportunity to promote real-world application, peer collaboration, and feedback for experiential learning and skill development in a practical setting.
Online Guided independent study 158 A learning approach where students take responsibility for their own learning process, with support and direction from academics through tutorials and research assessments. This method combines the independence of self-directed study with the guidance of a structured framework provided by academic staff.
Total Study Hours200
Expected Total Study Hours for Module200


Assessment
Type of Assessment Weighting % LOs covered Week due Length in Hours/Words Description
Report 60 3~4~5 Week 12 , WORDS= 3000 This assessment comprises a report divided into four distinct sections, each corresponding to a separate homework assignment distributed throughout the trimester. The overall grade for the report, which accounts for 60% of the total grade, will be determined by combining the grades from these four assignments, with each contributing 15%.In this assessment, students are expected to demonstrate a comprehensive understanding of mathematics, statistics, and engineering principles in solving complex problems. Much of the knowledge required will be at the cutting edge of the subject area, informed by a critical awareness of new developments and the broader context of engineering [M1]. Students should be able to select appropriate computational and analytical techniques to model complex problems [M3] and function effectively both individually and as part of a team, whether as a member or a leader. They are also expected to evaluate the effectiveness of their own performance, as well as that of their team [M16]. Furthermore, students should communicate complex engineering concepts effectively to both technical and non-technical audiences, while evaluating the effectiveness of the methods employed [M17].
Final Year Project 40 1~2~3~4~5 Week 13 , WORDS= 3000 Each student will be assigned a final project topic and is required to present their project through a brief demonstration. Additionally, concise documentation describing the project, along with the relevant code, must be submitted.In this assessment, students are expected to demonstrate a thorough understanding of mathematics, statistics, and engineering principles in solving complex problems. Much of the required knowledge will be at the forefront of the subject, informed by a critical awareness of new developments and the broader context of engineering [M1]. Students should be able to select appropriate computational and analytical techniques to model complex problems [M3] and work effectively both individually and as part of a team, whether as a member or a leader. They are also expected to assess the effectiveness of their own performance, as well as that of their team [M16]. Furthermore, students should be able to communicate complex engineering concepts clearly to both technical and non-technical audiences, while evaluating the effectiveness of the methods used [M17].
Component 1 subtotal: 60
Component 2 subtotal: 40
Module subtotal: 100

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