====== Module: Data Analytics (M3) ====== | **Study level** | Master || | **ECTS credits** | 3 || | **Study forms** | Hybrid or fully online || | **Module aims** | The key aim of the course is to familiarize the students with the most important groundbreaking information technologies used in manipulating, storing, and near-real-time analyzing of data in IoT systems. || | **Pre-requirements** | Has some understanding of IoT (passed module [[en:iot-reloaded:curriculum:general|"Introduction to IoT"]]) || | **Learning outcomes** | After completing this course, the student:\\ - identifies challenges in Data analytics\\ - recognize main tools and frameworks for Data analytics\\ - knows what are regression, clustering, and classification models\\ - has overview of time series analysis in IoT\\ - can apply data analytics on real-life IoT use case || | **Topics** | __[[en:iot-reloaded:iot_data_analysis|IoT Data Analysis]]__\\ [[en:iot-reloaded:data_products_development|Data products development]]\\ [[en:iot-reloaded:data_preparation_for_data_analysis|Data preparation for data analysis]]\\ [[en:iot-reloaded:regression_models|Regression models]]\\ [[en:iot-reloaded:clustering_models|Clustering models]]\\ [[en:iot-reloaded:classification_models|Classification models]]\\ [[en:iot-reloaded:introduction_to_time_series_analysis|Introduction to time series analysis]]\\ [[en:iot-reloaded:hints_for_further_readings_on_ai|Hints for further readings on AI]] || | **Type of assessment** | Prerequisite of a positive grade is a positive evaluation of course topics and presentation of practical work results with required documentation || | **Blended learning** | Along with MOOC course in hybrid mode. || | **References to\\ literature** | 1. M Vergin Raja Sarobin, J Ranjith, D Ashwath, K Vinithi, Smiti, V Khushi, Comparative Analysis of Various Feature Extraction Methods on IoT 2023, Procedia Computer Science (2024) Elsevier. \\ 2. Dina Fawzy, Sherin M. Moussa, Nagwa L. Badr, An IoT-based resource utilization framework using data fusion for smart environments, Internet of Things, (2023) Elsevier. || | **Lab equipment** | || | **Virtual lab** | || | **MOOC course** | http://edu.iot-open.eu/course/view.php?id=8 ||