COURSE UNIT TITLE

: BASICS OF INTERNET OF THINGS

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
BIL 4117 BASICS OF INTERNET OF THINGS ELECTIVE 3 0 0 5

Offered By

Computer Science

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR BARIŞ TEKIN TEZEL

Offered to

Computer Science

Course Objective

The Internet of Things (IoT) is more than a smart or connected device. This course will show you what the IoT is and how it works in technical terms. The main aim of the course is to provide a basis for the usage, communication and security of Internet of things that are becoming more common. In addition to this, technical and conceptual structures will be explained about the cloud-based large data structures formed by many Internet of things and the analysis processes of large data.

Learning Outcomes of the Course Unit

1   To understand the general principles of IoT and to develop applications
2   Become familiar with the techniques and tools for automated capturing, processing, classifying and organizing knowledge
3   To be able to develop web technologies, information acquisition and efficient deployment, using the ioT components in network and cloud-based business environments
4   Understand the importance of cloud computing with ioT and its importance in various organizations
5   To understand the general operating principles of sensors used for iot and to develop applications using different data communication methods

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction: IoT definitions, components, examples
2 IoT Foundations: Standards and Ecosystems
3 IoT Communication Methods: Low-Power Wireless Networking
4 Sensors, RFID Tags, NFC Cards
5 Security issues in IoT
6 M2M communication principles
7 Example IoT Project
8 Example IoT Project -2
9 Example IoT Project -3
10 Big Data in IoT
11 Use of Cloud Computing in IoT
12 Cloud Computing Fundamentals
13 Applications of IoT and Cloud Computing
14 IoT Big Data Analytics
15 Project Presentations

Recomended or Required Reading

Textbook:

Getting Started with the Internet of Things - Cuno Pfister - ISBN: 978-1-4493-9357-1

Bernd Scholz-Reiter, Florian Michahelles, Architecting the Internet of Things , ISBN 978-3-642-19156-5 e-ISBN 978-3-642-19157-2, Springer

Ovidiu Vermesan, Peter Friess, Converging Technologies for Smart Environments and Integrated Ecosystems, River Publishers, 978-87-92982-73-5

Complementary Books:
Internet of Things:Wireless Sensor Networks White Paper

Inside the Internet of Things - Sadashiva S.R., Joe Mariani, Gaurav Kamboj and Kritarth Suri and Athappan Balasubramanian

Stackowiak, R., Licht, A., Mantha, V., Nagode, L., Big Data and The Internet of Things Enterprise Information Architecture for A New Age , Apress, 2015.

Dr. John Bates , Thingalytics - Smart Big Data Analytics for the Internet of Things , john Bates, 2015.

Practical Internet of Things Security (Kindle Edition) by Brian Russell, Drew Van Duren

References:
Other course materials:

Planned Learning Activities and Teaching Methods

Lectures
Presentation
Lab
Homeworks
Project

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 FIN FINAL EXAM
3 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.50 + FIN * 0.50
4 RST RESIT
5 FCGR FINAL COURSE GRADE (RESIT) ASG * 0.50 + RST * 0.50


*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

To be announced.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Prof. Dr. Efendi NASIBOĞLU
efendi.nasibov@deu.edu.tr

Office Hours

Will be announced

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Tutorials 14 2 28
Preparations before/after weekly lectures 7 2 14
Preparation for midterm exam 1 6 6
Preparation for final exam 1 8 8
Preparing assignments 2 5 10
Project Preparation 2 16 32
Final 1 3 3
Midterm 1 2 2
TOTAL WORKLOAD (hours) 131

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13
LO.1543555
LO.2543555
LO.3543555
LO.4543555
LO.5543555

CONTACT INFORMATION
Dokuz Eylül Üniversitesi Cumhuriyet Bulvarı No: 144 35210 Alsancak / İZMİR
Phone: +90(232) 412 12 12 - Fax: +90 (232) 464 81 35

Copyright 2015 DEÜ. BİD

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