Reserve a timeslot in one of our IOT labs
The introduction module helps students to refresh or acquire the minumum skills required for start DTAM course. Here you can find fundamentals skills about PC Systems and Raspberry Pi, Networking, Python programming, Databases, Electronics and Sustainability.
This course is for technicians and professionals who would like to access and improve learning process on a different and pioneering way. At the end of the module, on a personal level you will have the ability to achieve individual learning, adapt on different situations, find innovative ideas and surpass difficulties. It is well known that a strong and complete personality is the first step on professional success. Furthermore, on social level you will be able to communicate with other people and cooperate properly. Last but not least, you will enrich your knowledge with the ability to handle effectively big information volume.
- Leraar: Jokin Goioaga
This course will introduce different sensors, devices to connect the sensors to data storage services, networking solutions and data processing solutions. The course involves working with Raspberry PI's, Arduino's, NodeRed, Grafana, programming sensors using Python, and network communication over TCP/IP, Zigbee, LoRa, Bluetooth, 4G/5G cellular networks, 433MHz, and Z-wave. Data is sent to a MySQL database or a message bus (MQTT).
- Leraar: Francien van Kan
This course is an introduction to Machine Learning and includes key concepts. Learners will be able to implement machine learning applications end-to-end in Python following defined steps and choose appropriate Python library depends on the problem that needs to be solved.
This course is for technicians and professionals
who would like to understand the core tools used to wrangle and analyze big
data, as well as the core tools used for distributed processing of large data
sets across clusters of computers. Although the tools that are presented are
generally applicable for data processing, analysis and visualization, the
module is mainly oriented for advanced manufacturing use cases. At the end of
the module, you will learn how to use Python for data analysis and data
visualization. Moreover, you will learn how to use the Hadoop framework for
distributed processing of large data sets.