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 feedbackLecturing / 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;
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Course Description | This course covers the principals behind the information processing algorithms and their use in wireless sensor networks. |
Related Sustainable Development Goals | |
| Core Courses | |
Major Area Courses | ||
Supportive Courses | ||
Media and Managment Skills Courses | ||
Transferable Skill Courses |
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. |
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 |
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 |
# | 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. | X | ||||
2 | Is well-informed about contemporary techniques and methods used in Computer Engineering and their limitations. | X | ||||
3 | Uses scientific methods to complete and apply information from uncertain, limited or incomplete data, can combine and use information from different disciplines. | X | ||||
4 | Is informed about new and upcoming applications in the field and learns them whenever necessary. | X | ||||
5 | Defines and formulates problems related to Computer Engineering, develops methods to solve them and uses progressive methods in solutions. | X | ||||
6 | Develops novel and/or original methods, designs complex systems or processes and develops progressive/alternative solutions in designs. | X | ||||
7 | Designs and implements studies based on theory, experiments and modelling, analyses and resolves the complex problems that arise in this process. | X | ||||
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. | X | ||||
9 | Engages in written and oral communication at least in Level B2 of the European Language Portfolio Global Scale. | X | ||||
10 | Communicates the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form. | X | ||||
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. | X | ||||
12 | Highly regards scientific and ethical values in data collection, interpretation, communication and in every professional activity. | X |
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest