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M.SC. in Computer Engineering (Without Thesis)
CE 605 | 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 | DiscussionProblem SolvingCase StudyQ&ACritical feedbackLecture / Presentation | |||||
| National Occupation Classification | - | |||||
| Course Coordinator | - | |||||
| Course Lecturer(s) | ||||||
| Assistant(s) | - | |||||
| Course Objectives | The aim of this course is to teach the fundamentals of ongoing scientific research on wireless sensor networks and the fundamentals of data processing on wireless sensor networks. Wireless sensor networks have grown in popularity over the past few years. This area has many potential applications, such as remote inspection of natural parks, civil engineering, security applications and smart transport applications. Having knowledge about the working principles and application areas of wireless sensor networks will positively contribute to the students studying in the field of computer science. Topics to be covered are the main application areas of wireless sensor networks, packet routing, positioning, topology control, security and simulation. |
| Learning Outcomes |
The students who succeeded in this course;
|
| Course Description | The course will cover Sensor network Architecture ,Operating Systems, Physical Layer , Medium Access Control, Network Layer, Power Management, Time Synchronization, Localization, Security, Sensor Network Simulation. |
|
|
Core Courses | |
| Major Area Courses | ||
| Supportive Courses | ||
| Media and Management Skills Courses | ||
| Transferable Skill Courses |
WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES
| Week | Subjects | Related Preparation | Learning Outcome |
| 1 | Introduction | Chapter 1- Fundamentals of Wireless Sensor Networks- Theory and Practice; Waltenegus Dargie, Christian Poellabauer; ©2010 John Wiley & Sons Ltd. | |
| 2 | Applications | Chapter 2 Fundamentals of Wireless Sensor Networks- Theory and Practice; Waltenegus Dargie, Christian Poellabauer; ©2010 John Wiley & Sons Ltd. | |
| 3 | Node Architecture | Chapter 3 Fundamentals of Wireless Sensor Networks- Theory and Practice; Waltenegus Dargie, Christian Poellabauer; ©2010 John Wiley & Sons Ltd. | |
| 4 | Operating Systems | Chapter 4 Fundamentals of Wireless Sensor Networks- Theory and Practice; Waltenegus Dargie, Christian Poellabauer; ©2010 John Wiley & Sons Ltd. | |
| 5 | Pyhsical Layer | Chapter 5 Fundamentals of Wireless Sensor Networks- Theory and Practice; Waltenegus Dargie, Christian Poellabauer; ©2010 John Wiley & Sons Ltd. | |
| 6 | Medium Access Control | Chapter 6 Fundamentals of Wireless Sensor Networks- Theory and Practice; Waltenegus Dargie, Christian Poellabauer; ©2010 John Wiley & Sons Ltd. | |
| 7 | Topology control | Chapter 7 Fundamentals of Wireless Sensor Networks- Theory and Practice; Waltenegus Dargie, Christian Poellabauer; ©2010 John Wiley & Sons Ltd. | |
| 8 | Network Layer | Related Papers | |
| 9 | Network Layer | Chapter 8 Fundamentals of Wireless Sensor Networks- Theory and Practice; Waltenegus Dargie, Christian Poellabauer; ©2010 John Wiley & Sons Ltd. | |
| 10 | Time Synchronization | Chapter 9 Fundamentals of Wireless Sensor Networks- Theory and Practice; Waltenegus Dargie, Christian Poellabauer; ©2010 John Wiley & Sons Ltd. | |
| 11 | Localization | Chapter 10 Fundamentals of Wireless Sensor Networks- Theory and Practice; Waltenegus Dargie, Christian Poellabauer; ©2010 John Wiley & Sons Ltd. | |
| 12 | Security | Chapter 11 Fundamentals of Wireless Sensor Networks- Theory and Practice; Waltenegus Dargie, Christian Poellabauer; ©2010 John Wiley & Sons Ltd. | |
| 13 | Sensor Network Programming | Chapter 12 Fundamentals of Wireless Sensor Networks- Theory and Practice; Waltenegus Dargie, Christian Poellabauer; ©2010 John Wiley & Sons Ltd. | |
| 14 | Other Topics | ||
| 15 | Project Presentations | ||
| 16 | Final Exam |
| Course Notes/Textbooks | Fundamentals of Wireless Sensor Networks- Theory and Practice; Waltenegus Dargie, Christian Poellabauer; ©2010 John Wiley & Sons Ltd. |
| 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 |
1
|
10
|
| Presentation / Jury | ||
| Project |
1
|
25
|
| Seminar / Workshop | ||
| Oral Exams | ||
| Midterm |
1
|
25
|
| Final Exam |
1
|
40
|
| Total |
| Weighting of Semester Activities on the Final Grade |
3
|
60
|
| Weighting of End-of-Semester Activities on the Final Grade |
1
|
40
|
| Total |
ECTS / WORKLOAD TABLE
| Semester Activities | Number | Duration (Hours) | Workload |
|---|---|---|---|
| Theoretical Course Hours (Including exam week: 16 x total hours) |
16
|
3
|
48
|
| Laboratory / Application Hours (Including exam week: '.16.' x total hours) |
16
|
0
|
|
| Study Hours Out of Class |
15
|
6
|
90
|
| Field Work |
0
|
||
| Quizzes / Studio Critiques |
0
|
||
| Portfolio |
0
|
||
| Homework / Assignments |
1
|
10
|
10
|
| Presentation / Jury |
0
|
||
| Project |
1
|
30
|
30
|
| Seminar / Workshop |
0
|
||
| Oral Exam |
0
|
||
| Midterms |
1
|
22
|
22
|
| Final Exam |
1
|
25
|
25
|
| Total |
225
|
COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP
|
#
|
PC Sub | Program Competencies/Outcomes |
* Contribution Level
|
||||
|
1
|
2
|
3
|
4
|
5
|
|||
| 1 | Accesses information in breadth and depth by conducting scientific research in Computer Engineering, evaluates, interprets and applies information. |
-
|
-
|
-
|
-
|
-
|
|
| 2 | Is well-informed about contemporary techniques and methods used in Computer Engineering and their limitations. |
-
|
-
|
-
|
-
|
-
|
|
| 3 | Uses scientific methods to complete and apply information from uncertain, limited or incomplete data, can combine and use information from different disciplines. |
-
|
-
|
-
|
-
|
-
|
|
| 4 | Is informed about new and upcoming applications in the field and learns them whenever necessary. |
-
|
-
|
-
|
-
|
-
|
|
| 5 | Defines and formulates problems related to Computer Engineering, develops methods to solve them and uses progressive methods in solutions. |
-
|
-
|
-
|
-
|
-
|
|
| 6 | Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs. |
-
|
-
|
-
|
-
|
-
|
|
| 7 | Designs and implements studies based on theory, experiments and modelling, analyses and resolves the complex problems that arise in this process. |
-
|
-
|
-
|
-
|
-
|
|
| 8 | Can work effectively in interdisciplinary teams as well as teams of the same discipline, can lead such teams and can develop approaches for resolving complex situations, can work independently and takes responsibility. |
-
|
-
|
-
|
-
|
-
|
|
| 9 | Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale. |
-
|
-
|
-
|
-
|
-
|
|
| 10 | Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form. |
-
|
-
|
-
|
-
|
-
|
|
| 11 | Is knowledgeable about the social, environmental, health, security and law implications of Computer Engineering applications, knows their project management and business applications, and is aware of their limitations in Computer Engineering applications. |
-
|
-
|
-
|
-
|
-
|
|
| 12 | Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity. |
-
|
-
|
-
|
-
|
-
|
|
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest
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