340112 Data Acquisition Technologies and Sensor Networks

Course offering details

Instructors: Ph.D. Fangning Hu

Type: Lab

Org-unit:

Course Name Abbreviation: 340112

Credits: 2.50

Min. | Max. participants: - | -

Partial Grades:
Final Project (60%)
Tasks in the lab (40%)

Official Course Description:
Medical monitoring, smart cars, smart grids, smart homes, and connections to the internet all over: There is going to be an ocean of data – not only entered by humans but automatically pouring in from billions of sensors deployed in a plethora of devices. How are such data being collected, how can they be made available – to you, to your doctor, to other users? These are only some of the questions to be addressed. This course offers a hands-on introduction to the technology behind the scenes. Topics include microcontrollers, how to program them, the way they interact with sensors and actuators, the wireless techniques they use to communicate with each other, with other computers and the internet.
As the course covers a wide range of platforms, it also utilizes aspects from a variety of different languages and devices. In order to be successful it helps to be familiar with basic electrical circuits, microcontrollers, HTML, PHP, SQL, C, Java, and assembly language. Even though there will be a lot of support, it is recommended to be familiar with at least a few of those.

Syllabus:
Intended Learning Outcomes
Students will be able to
1) understand how to acquire data from different sensors and use the microcontroller to process them;
2) understand how to transmit data from the microcontroller to the database on a server and visualize the data;
3) understand how to set up a wireless sensor network and to communicate data among different components.

Literature
Primary Text
Required Reading (To view a list click a category.)
Recommended Reading (To view a list click a category.)
Registration Deadlines
Phase Block Start End registration End cancellation Deadline for Audit
Registration Semester 18.08.2017 00:00 04.09.2017 24:00 04.09.2017 24:00 04.09.2017 24:00
Drop/Add Semester 13.09.2017 00:00 18.09.2017 24:00 18.09.2017 24:00 18.09.2017 24:00
Appointments
Date From To Room Instructors
1 Wed, 6. Sep. 2017 15:45 17:00 Lecture Hall Research I Ph.D. Fangning Hu
2 Wed, 6. Sep. 2017 17:15 18:30 Lecture Hall Research I Ph.D. Fangning Hu
3 Wed, 13. Sep. 2017 15:45 17:00 Lecture Hall Research I Ph.D. Fangning Hu
4 Wed, 13. Sep. 2017 17:15 18:30 Lecture Hall Research I Ph.D. Fangning Hu
5 Wed, 20. Sep. 2017 15:45 17:00 Lecture Hall Research I Ph.D. Fangning Hu
6 Wed, 20. Sep. 2017 17:15 18:30 Lecture Hall Research I Ph.D. Fangning Hu
7 Wed, 27. Sep. 2017 15:45 17:00 Lecture Hall Research I Ph.D. Fangning Hu
8 Wed, 27. Sep. 2017 17:15 18:30 Lecture Hall Research I Ph.D. Fangning Hu
9 Wed, 4. Oct. 2017 15:45 17:00 Lecture Hall Research I Ph.D. Fangning Hu
10 Wed, 4. Oct. 2017 17:15 18:30 Lecture Hall Research I Ph.D. Fangning Hu
11 Wed, 11. Oct. 2017 15:45 17:00 Lecture Hall Research I Ph.D. Fangning Hu
12 Wed, 11. Oct. 2017 17:15 18:30 Lecture Hall Research I Ph.D. Fangning Hu
13 Wed, 18. Oct. 2017 15:45 17:00 Lecture Hall Research I Ph.D. Fangning Hu
14 Wed, 18. Oct. 2017 17:15 18:30 Lecture Hall Research I Ph.D. Fangning Hu
Course specific exams
Description Date Instructors Mandatory
1. Final Project No Date No
1. Tasks in the lab No Date No
Contained in course catalogues
Course catalogue
Course Catalogue > Graduate Curriculum > Mobility (Disciplines: Computer Science, Electrical Engineering, Mathematics, Logistics) > Electrical Engineering / Computer Science
Class Session Overview
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Instructors
Ph.D. Fangning Hu