| Course label : | #Start&Go Robotics |
|---|---|
| Teaching departement : | / |
| Teaching manager : | Mister ALEXANDRE KRUSZEWSKI |
| Education language : | French |
| Potential ects : | 4 |
| Results grid : | |
| Code and label (hp) : | G1_S5_SG_ROB - #Start&Go Robotique |
Education team
Teachers : Mister ALEXANDRE KRUSZEWSKI / Madam CATHY SION / Madam CLAIRE BELART / Madam LAURENCE CAYRON / Madam VERONIQUE LE COURTOIS / Mister ABDELKRIM TALBI / Mister BADR JELIL / Mister LAURENT PATROUIX / Mister MICHEL HECQUET / Mister PHILIPPE QUAEGEBEUR / Mister SEBASTIEN PAUL / Mister Sire de Marc EBODE ONANA / Mister THOMAS BOURDEAUD HUY / Mister XAVIER MARGUERON / Mister YANNICK DESPLANQUES / Mister YANNICK DUSCH
External contributors (business, research, secondary education): various temporary teachers
Summary
Organization and participation in an internal robotics competition at school, change of theme every year. Starting point: a mobile base. - Robot basic, functional and able to compete, - The team divides the specialties, - A set of documents are provided. With the teachers: it highlights the need for knowledge and methodology - Teachers only help students. The majority of learning is done autonomously, in outside of the scheduled hours. - Students cannot understand everything without real investment. - Does not take into account the level of students. Show that it is complicated, transversal and very interesting. In autonomy: with a little will we can make it and it is rewarding - Use of resources (provided or not) to refine the understanding of the concepts presented and to identify the limits / weak points. - Optimization of the robot - Teacher's help (1h / half-day minimum)
Educational goals
The educational objectives below are common to the 5 variants of # Start & Go and can be complemented by specific objectives. At the end of the activity, the student will be able to: - Conduct a targeted literature search on a scientific and / or technological subject summarize reference documents - Produce clear documents - Use tools, define and apply a problem-solving methodology that it does not necessarily have prerequisites - Realize your ideas with a functional demonstrator (can be a model) - Acquire, especially in autonomy, knowledge on a new field - Present and defend your work At the end of the activity, the student will be aware of: - Economic, societal and environmental constraints associated with the problem - The complexity and the need to model the systems - The need to experimentally validate a model - Issues and notions of open source and open hardware - Study and production of documentation in English - The importance of a good specification - The transversality of real projects - Time management - The need to situate oneself in terms of knowledge / skills, to express one's training needs - The interest of helping his team to improve their level of knowledge At the end of the course, the student will be able to: - Able to establish a mathematical model for the simulation, optimization and control of a system - Get some knowledge on the fields of robotics.
Sustainable development goals
Knowledge control procedures
Continuous Assessment
Comments:
Online resources
Decomposed in 5 scientific disciplines. For each: 1) 2h session: presentation of the result of an analysis leading to the design of the robot 2) 4h sessions to explore the solution with computer-aided tools 3) TEA = digestion and optimization of design + permanence of teachers 4) Individual evaluation of all technical fields during the week 5. 5) Final evaluation in week 6: competition + defense. ShS Party 1) Analysis of the economic aspects of the project 2) Analysis of complexity and return of students 3) How to present a result / the progress of a project
Pedagogy
Sequencing / learning methods
| Number of hours - Lectures : | 0 |
|---|---|
| Number of hours - Tutorial : | 0 |
| Number of hours - Practical work : | 0 |
| Number of hours - Seminar : | 0 |
| Number of hours - Half-group seminar : | 0 |
| Number of student hours in TEA (Autonomous learning) : | 0 |
| Number of student hours in TNE (Non-supervised activities) : | 0 |
| Number of hours in CB (Fixed exams) : | 0 |
| Number of student hours in PER (Personal work) : | 0 |
| Number of hours - Projects : | 0 |