Fischertechnik Education ROBOTICS TXT 4.0 Base Set

Topics addressed include:
Analogue and digital sensors
Data transmission, encryption
Coding and decoding
Image processing
Graphic and text-based programming
The fischertechnik Robotics TXT 4.0 Base Set is the perfect way to get started programming like the professionals! The comprehensive building set includes a camera with image processing as well as an ultrasound sensor, two encoder motors, a track sensor, a phototransistor, two buttons and two LEDs. The model can be programmed and controlled with ROBO Pro Coding graphic programming software and the ROBOTICS TXT 4.0 controller. Beginners can refer to finished example programs, while advanced users and professionals can get started directly in a Blockly library or in Python. The set includes twelve exciting models, ranging from a pedestrian signal to a barrier, a bar code scanner, and mobile driving robots with encoder motors, cameras, track, and distance sensors. The comprehensive teaching materials include introductory and basic information, as well as 20 experiments with solutions for the twelve models. Includes 244 components.

Includes access to downloadable teaching and activity material:

fischertechnik Education products include comprehensive, freely accessible teaching materials. These have been developed together with teacher training colleges, teachers and didacticians and are ideally suited to the needs of the classroom. In addition to the topic introduction, lesson plans with task sheets and educational plan references are available.

- The topic introduction provides content that can be optimally used for lesson preparation and integrated into the lessons. Definitions, history, basic knowledge, and much more are provided.

- The teaching material includes an overview of the learning objectives as well as the time required for the tasks.

- In line with the curriculum-relevant topics, various tasks are included within which different experiments are dealt with.

- The tasks are divided into a construction task, a thematic task, and an experimentation task. In this way, one progresses from building to learning technical content to applying the acquired knowledge.