BÄ°L655 - WIRELESS NETWORKS
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| WIRELESS NETWORKS | BÄ°L655 | Any Semester/Year | 3 | 0 | 3 | 8 |
| Prequisites | ||||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Discussion Preparing and/or Presenting Reports Project Design/Management | |||||
| Instructor (s) | Department Responsible (bbm-bologna@cs.hacettepe.edu.tr) | |||||
| Course objective | This course aims to teach the basics of wireless network communication and the security of these networks, and to present their advantages and issues. | |||||
| Learning outcomes |
| |||||
| Course Content | This course includes the following topics : the basics of wireless networking and wireless network security, protocols they use, their advantages and disadvantages, their simulations. | |||||
| References | Guide to Wireless Ad Hoc Networks, editors: S. Misra, I. Woungang, S. C. Misra, Springer Security and Cooperation in Wireless Networks, L. Buttyan, J. P. Hubaux, Cambridge University Press Conference Proceedings and Journal Papers : WiSec, AdhocNets, MobiCom, Elseiver Ad Hoc Networks, etc. | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Introduction to Wireless Networks |
| Week 2 | Routing Protocols : Proactive, Reactive |
| Week 3 | Routing Protocols : Hybrid, Adaptive |
| Week 4 | Transmission Control Protocol |
| Week 5 | Mobility Models and Simulation |
| Week 6 | Midterm |
| Week 7 | Security Threats |
| Week 8 | Cooperation |
| Week 9 | Intrusion Detection |
| Week 10 | Key Management |
| Week 11 | Trust Management |
| Week 12 | Issues in Wireless Networks |
| Week 13 | Advances in Wireless Networks |
| Week 14 | Project Presentations |
| Week 15 | Final Exam Preparation |
| Week 16 | Final Exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 0 | 0 |
| Presentation | 2 | 20 |
| Project | 1 | 30 |
| Seminar | 0 | 0 |
| Midterms | 0 | 0 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 0 | 50 |
| Percentage of final exam contributing grade succes | 0 | 50 |
| Total | 100 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 13 | 4 | 52 |
| Presentation / Seminar Preparation | 2 | 10 | 20 |
| Project | 1 | 96 | 96 |
| Homework assignment | 0 | 0 | 0 |
| Midterms (Study duration) | 0 | 0 | 0 |
| Final Exam (Study duration) | 1 | 30 | 30 |
| Total Workload | 31 | 143 | 240 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. Graduates should have a mastery of computer science as described by the core of the Body of Knowledge. | X | ||||
| 2. Graduates need understanding of a number of recurring themes, such as abstraction, complexity, and evolutionary change, and a set of general principles, such as sharing a common resource, security, and concurrency. | X | ||||
| 3. Graduates of a computer science program need to understand how theory and practice influence each other. | X | ||||
| 4. Graduates need to think at multiple levels of detail and abstraction. | X | ||||
| 5. Students will be able to think critically, creatively and identify problems in their research. | X | ||||
| 6. Graduates should have been involved in at least one substantial project. | X | ||||
| 7. Graduates should realize that the computing field advances at a rapid pace. | X | ||||
| 8. Graduates should conduct research in an ethical and responsible manner. | X | ||||
| 9. Graduates should have good command of technical terms in both Turkish and English. | X | ||||
| 10. Graduates should understand the full range of opportunities available in computing. | X | ||||
| 11. Graduates should understand that computing interacts with many different domains. | X | ||||
| 12. Graduates should develop the knowledge acquired at master level and apply scientific methods in order to solve scientific problems. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest