IoT and robotics is the combination of designing and engineering geared toward the improvement and development of robots and the implementation of IoT. The Course will furnish hands-on involvement in chassis designing and development with modeling tools, microcontrollers, servo drivers, sensors and programming. Students will apply the course theories to design and program an intelligent robotics system with embedded smart path planning and obstacle avoidance algorithms.
Open Labs Assessment Guidelines Effective assessment design enhances student learning, and engages students with different learning styles. Assessment influences what a student interprets to be the important learning goals for a course. The assignments we design constitute the means by which we assess student learning. In the best case scenario, assessments should be aligned with course goals and objectives. The following guidelines will help you to design assessments that promote your student’s learning. The overall assessment framework is divided into 2 sections. The Theoretical assessments section will be conducted with our online LMS evaluation system (Moodle) with tests in MCQ formats to evaluate the theoretical knowledge the candidate. For the practical part of the evaluation process, the candidate will have to build 1 different real life projects and present them in a panel curated viva cum presentation.