Modulcode: | infIoT-01a |
Englische Bezeichnung: | Internet of Things and Wireless Networks |
Modulverantwortliche(r): | Prof. Dr. Olaf Landsiedel |
Turnus: | unregelmäßig (SS20 SS21 SS23 SS24 SS25) |
Präsenzzeiten: | 3V 2Ü 1P |
ECTS: | 8 |
Workload: | 45 Std. Vorlesung/Lectures, 30 Std. Präsenzübung/Exercise, 15 Std. Praktikum/Project, 150 Std. Selbststudium/Self-Studies |
Dauer: | ein Semester |
Modulkategorien: | BSc-Inf-WP (BSc Inf (21)) WI (BSc Inf (15)) MSc-Inf-WP (MSc Inf (21)) 2F-MEd-Inf-WP (MEd-Hdl Inf (21)) 2F-MA-Inf-WP (2F-MA Inf (21)) MSc-WInf-WP-Inf (MSc WInf (21)) PI (MSc Inf (15)) WI (MSc Inf (15)) MEd-Hdl WP (MEd-Hdl Inf) 2F-MA Inf WP (2F-MA Inf) WI (MSc WInf (15)) WI (MEd Inf) |
Lehrsprache: | Englisch |
Voraussetzungen: | infCN-01a infOS-01a |
This course will introduce and discuss the underlying concepts and mechanisms that drive wireless networks and the Internet of Things (IoT). The lectures provide you with the required knowledge, and the labs give you a hands-on experience in developing networking and applications in the Internet of Things and exploring their real-world challenges.
Aim: What is the Internet of Things and its applications? How can we build reliable and resource efficient IoT systems and applications? How do its devices in the Internet of Things communicate? How do wireless networks work? These are a few questions that this course addresses. The goal of the courses is to understand the design of the Internet of Things and discuss the underlying principles and mechanisms. Our lectures provide you with the required fundamentals, and our labs give you a hands-on experience in developing IoT systems and applications and exploring their real-world challenges.
Content: We begin the course with an introduction to basic concepts of IoT Systems and Applications and the challenges they pose. We continue with the main course content and focus on:
Our lectures provide students with the required fundamentals, and exercise and projects give students a hands-on experience in developing IoT systems & applications and exploring their real-world challenges. This course offers learning experiences that involve hands-on experimentation and analysis as they reinforce student understanding of concepts and their application to real-world problems. Overall, this course provides the students the ability to understand fundamental issues in the design of methods for IoT systems and applications.
A student should have taken courses on Operating Systems and Computer Networks such as the courses "Operating Systems", "Computer Networks", or "Betriebs- und Kommunikationsystems (BSKS)" at CAU. Moreover, C programming skills are expected.
Alternatively, for students who did not complete their bachelor at CAU Kiel: a student should have taken a course in computer communication (or computer networks) including the TCP/IP protocol stack. In addition, a course in operating systems (or equivalent) is required. Moreover, C programming skills are expected.
The grade is determined by a final written exam. If the number of students registered for the course is less than 10, we might switch to an oral examination instead. A switch will be announced within the first two weeks of the course.
Prerequisite for admission to the exam: received at least 50% of homework assignment points and 50% of the project points. Also, the exercises might include a Prelab that has to be passed before the actual homework exercises can be conducted. Exceptions, for example, due to sickness, have to requested in due time before the exams. Exam admissions stay valid also for future terms. Individual, passed homework series apply only for the current term and are not transferable to future terms.
The final grade for the module is given by either 1) the exam grade or 2) 80% of the exam grade + 20% of the homework and project grade, whichever is the better of the two (as long as the exam is passed).
Lectures, weekly exercises with software development, and a project.
TBA in the course
https://www.ds.informatik.uni-kiel.de/en/teaching/internet-of-things-wireless-networks