COURSE UNIT TITLE

: SMART SENSORS AND COMMUNICATION PROTOCOLS IN MECHATRONICS

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
MEC 5033 SMART SENSORS AND COMMUNICATION PROTOCOLS IN MECHATRONICS ELECTIVE 3 0 0 8

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASSISTANT PROFESSOR LÜTFIYE ÖZLEM AKKAN

Offered to

Mechatronics Engineering
M.Sc. Mechatronics Engineering
Mechatronics Engineering

Course Objective

Using sensors in mechatronic systems, flexible and efficient systems can be designed and can be performed. Communication with each of sensors are provided with a variety of wired or wireless communication protocols. This course provides a comprehensive and systematical introduction of the fundamental concepts, major issues, and effective solutions in wireless sensor networking and sensors and realization an application by students.

Learning Outcomes of the Course Unit

1   To recognize fundamental concepts of wireless sensor and actor networks (WSANs)
2   To identify problems in designing WSANs and to form fault-tolerant framework
3   To recognize TCP/IP protocol stack and to plan cross-layer design network models
4   To describe the communication protocols
5   To apply communication protocols used on WSANs

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 The sensor concept, the features and operation of the various sensors, introduction to Wireless Sensor Networks
2 TCP/IP Protocol Stack and its layers
3 Principles of Cross-layer design
4 Forming application-dependent cross-layer design on WSANs
5 QoS and fault tolerance
6 Basic concepts of WSANs
7 Principles of energy-efficient and fault-tolerant WSAN
8 Midterm
9 Wired communication protocols (Parallel communication, synchronous and asynchronous serial communication)
10 Wired communication protocols and industrial application examples
11 Wireless communication protocols (RF, Bluetooth, etc.)
12 Wireless communication protocols (ZigBee, Wi-Fi, etc.)
13 Application examples of WSAN in different areas
14 Application examples of WSAN in different areas
15 Application examples of WSAN in different areas

Recomended or Required Reading

-Nayak, A., Stojmenovic, I., Wireless Sensor and Actuator Networks Algorithms and Protocols for Scalable Coordination and Data Communication, John Wiley & Sons, Inc., Publication, New Jersey, 2010, ISBN 978-0-470-17082-3
-Kanat V., Sensörler ve Arduino, Published in 2015 by Dikeyeksen Publications, ISBN 9786054898138
-Held G., Wireless Mesh Networks, Published in 2005 by Auerbach Publications Taylor & Francis Group 6000 Broken Sound Parkway NW, Suite 300 Boca Raton, FL 33487-2742, ISBN 0-8493-2960-4 (alk. paper)
-Frank R., Understanding Smart Sensors, © 2000 ARTECH HOUSE, INC. 685 Canton Street Norwood, MA 02062, ISBN 0-89006-311-7

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. All class members are expected to attend both the lecture and seminar hours and take part in the discussion sessions. Besides the taught lecture, individual presentations/term project are to be prepared by students and presented to open a discussion session.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.25 +ASG * 0.35 +FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.25 +ASG * 0.35 + RST * 0.40


Further Notes About Assessment Methods

The success of the students will be evaluated with one midterm exam, one project and one final exam.

Assessment Criteria

Mid-term examination, Term Project, Final examination.

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Asst.Prof.Dr. L. Özlem AKKAN, email: ozlem.karaca@deu.edu.tr, Tel: 0232 3012599

Office Hours

The appropriate office hours will be announced to the students at the beginning of the term.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 3 42
Preparations before/after weekly lectures 14 8 112
Preparation for midterm exam 1 10 10
Preparation for final exam 1 10 10
Design Project 1 10 10
Final 1 3 3
Midterm 1 3 3
TOTAL WORKLOAD (hours) 190

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15
LO.13233
LO.22334
LO.32334
LO.434324
LO.533334242