COURSE INTRODUCTION AND APPLICATION INFORMATION


Course Name
Wireless Sensor Networks
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
CE 605
Fall/Spring
3
0
3
7.5
Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Third Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course Discussion
Problem Solving
Case Study
Q&A
Critical feedback
Lecturing / Presentation
Course Coordinator -
Course Lecturer(s)
Assistant(s) -
Course Objectives The objective of this course is to teach the general principles that drive the research on wireless sensor networks, and the state of the art in information processing in wireless sensor networks. Wireless sensor networks become widely popular thanks to the recent advances in technology. Wireless sensor networks have many application areas ranging from habitat monitoring to civil engineering, security to transportation. Knowledge in the principle operations and applications of wireless sensor networks is a plus for graduate students of computer science.Topics include introduction and wireless sensor network applications, routing, localization, topology control, sensor networks databases, aggregation, and simulation.
Learning Outcomes The students who succeeded in this course;
  • will be able to recognize the application areas of the wireless sensor networks.
  • will be able to analyse the routing algorithms and the differences among the algorithms used in wireless sensor networks.
  • will be able to analyse the localization algorithms and the differences in the available algorithms used in wireless sensor networks.
  • will be able to analyse the topology control algorithms in wireless sensor networks.
  • will be able to analyse the aggregation algorithms and the motivation behind the aggregation.
Course Description This course covers the principals behind the information processing algorithms and their use in wireless sensor networks.
Related Sustainable Development Goals

 



Course Category

Core Courses
Major Area Courses
X
Supportive Courses
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction
2 Localization
3 Localization
4 Localization
5 Localization
6 Topology control
7 Topology control
8 Midterm
9 Data aggregation algorithms
10 Data aggregation algorithms
11 Routing algorithms
12 Routing algorithms
13 Open problems and applications
14 Open problems and applications
15 Project Presentations
16 -
Course Notes/Textbooks Wireless Sensor Networks: An Information Processing Approach, Feng Zhao and Leonidas Guibas, Morgan Kaufmann, 2004. ISBN-10: 1558609148 Instructor notes and lecture slides.
Suggested Readings/Materials Material will be provided by the lecturer.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
30
Seminar / Workshop
Oral Exam
Midterm
1
30
Final Exam
1
40
Total

Weighting of Semester Activities on the Final Grade
60
Weighting of End-of-Semester Activities on the Final Grade
40
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
15
6
90
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
40
Seminar / Workshop
Oral Exam
Midterms
1
22
Final Exams
1
25
    Total
225

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Understands and applies the foundational theories of Computer Engineering in a high level. X
2 Possesses a great depth and breadth of knowledge about Computer Engineering including the latest developments. X
3 Can reach the latest information in Computer Engineering and possesses a high level of proficiency in the methods and abilities necessary to comprehend it and conduct research with it. X
4 Conducts a comprehensive study that introduces innovation to science and technology, develops a new scientific procedure or a technological product/process, or applies a known method in a new field.  X
5 Independently understands, designs, implements and concludes a unique research process in addition to managing it.  X
6 Contributes to science and technology literature by publishing the output of his/her academic studies in respectable academic outlets. X
7 Interprets scientific, technological, social and cultural developments and relates them to the general public with a commitment to scientific objectivity and ethical responsibility. X
8 Performs critical analysis, synthesis and evaluation of ideas and developments in Computer Engineering. X
9 Performs verbal and written communications with professionals as well as broader scientific and social communities in Computer Engineering, by using English at least at the European Language Portfolio C1 General level, performs written, oral and visual communications and discussions in a high level. X
10 Develops strategies, policies and plans about systems and topics that Computer Engineering uses, and interprets the outcomes. X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest