Processing Sensor Data in IoT

Објавено: April 26, 2021

Course: Processing Sensor Data in IoT

Code: 3ФЕИТ07011А

ECTS points: 6 ECTS

Number of classes per week: 3+0+0+3

Lecturers: Asst. Dr. Hristijan Gjoreski

Course Goals (acquired competencies): Working with sensor data and purpose-built algorithms for data processing. Working with Python algorithms for automatic sensor data processing. Creating models.

Course Syllabus: Generating big data in real time from IoT devices. Storing data in Cloud systems and automatic processing of sensor data.Using RESTful API structure and data flow optimization. Defining different interfaces towards data storing in Cloud (Fog and Dew). Using Templates to learn patterns of devices and remote optimizing. Selective data storage in Cloud systems. Machine Learning methods to analyse the data. Implementing algorithms using Java or Python (Weka, sklearn, tflearn, numpy, matplotlib, pandas).


    Required Literature
No. Author Title Publisher Year
1 Robert Love


”Linux kernel development”, 3rd edition Addison-Wesley 2010
2 William Stallings “Operating Systems:Internals and Design”, Principles, 7 Ed Prentice Hall 2011
3 A. S. Tanenbaum, A. S. Woodhull ”Operating Systems Design and Implementation”, 3rd Edition Prentice Hall 2006
    Additional Literature
No. Author Title Publisher Year
1 Silberschatz, Galvin, Gagne  “Operating Systems Concepts Essentials”  John Wiley & Sons  2010
2  A. S. Tanenbaum  ”Modern operating Systems”, 3rd Edition  GOAL Series,Prentice Hall  2007
3  J. Corbet, A. Rubini, G.  Kroah-Hartman  “Linux device drivers”, 3rd edition  O’Reilly  2005