FEL3245 Principles of Wireless Sensor Networks 7.0 credits
Information per course offering
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Course syllabus as PDF
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Course syllabus FEL3245 (Spring 2019–)Content and learning outcomes
Course contents
Intended learning outcomes
After finishing the course, the attendant will
- Know the essential theoretical tools to cope with WSNs.
- Know the fundamentals of parallel computation and network optimization.
- Know how to design WSNs.
- Develop a research project.
- Develop presentation skills.
Literature and preparations
Specific prerequisites
Recommended prerequisites
Fairly elementary, i.e., mathematical maturity with familiarity with linear algebra and analysis.
Literature
Examination and completion
If the course is discontinued, students may request to be examined during the following two academic years.
Grading scale
Examination
- EXA1 - Examination, 7.0 credits, grading scale: P, F
Based on recommendation from KTH’s coordinator for disabilities, the examiner will decide how to adapt an examination for students with documented disability.
The examiner may apply another examination format when re-examining individual students.
Other requirements for final grade
The lectures will be mainly based on blackboard and slides. Students have to present a paper/book chapter per lecture.
Examiner
Ethical approach
- All members of a group are responsible for the group's work.
- In any assessment, every student shall honestly disclose any help received and sources used.
- In an oral assessment, every student shall be able to present and answer questions about the entire assignment and solution.