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International programmes for incoming exchange students
start
2024 - 2025
Studies proposed in english
Studies proposed in french
Project management, knowledge management
Statistics, signal processing
Artificial intelligence, machine learning, basics of robotics
Human systems interactions, human factors, human centered design
Cognitive psychology, basics of neuropsychology, ergonomics
Computer science, advanced programming, data bases, web technologies
ENSC is one of the engineering school of Institut Polytechnique de Bordeaux (“Bordeaux INP”). It offers a 3-years training programme (Master level) in the main disciplines of engineering, with a specific focus on cognitive engineering, which relates to the design, analysis and tests of complex systems that require complex human systems interactions. To better understand what is taught at ENSC, you may take a look at the main disciplines of our training programme :
Semester 10
Semester 9
Semester 8
Semester 7
Semester 6
Semester 5
Master level, year 2
Master level, year 1
Bachelor level
Studies proposed in french
The training programme is organized in 6 semesters :
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This specialization corresponds to 1 of the 4 options of the last year of the ENSC engineering programme (master of Science level).
You may eventually try to select a list of courses taught in English « à la carte ». See what is proposed by ENSC
This programme is offered to exchange students from partners universities.
60 ECTS
60 ECTS
60 ECTS
Specialization in Robotics
Tailor made courses selection
Masters of Science in Cognitics Engineering
Master level
Studies proposed in english
The training programme is organized in 6 semesters :
Cognitique
COS50015
S5
00 h
03 h
28 h
54 h
39 h
48 h
42h
44h
18h
00h
24h
24h
CO5PRTPO UE - Transpromotion project
CO5PRTDO UE - Transdisciplinary project
CO5SFMAO UE - Probability and statistics
CO5SFINO UE - Introduction to programming
CO5SFBDO UE - Databases and web programming
CO5SCBIO UE - Basics of human biology and neurobiology
CO5SCFHO UE - Human factors, usability and UX
CO5SCCCO UE - Cognitive and basis of cognition
CO5INCEO UE - Culture, Expression and Behavior
CO5INLDO UE - Living language 2
CO5INALO UE - Other Living language
CO5INANO UE - English
CO5INLVO UE - Living language 1 (choose 1)
5.00 ECTS
11.00 ECTS
12.00 ECTS
CO5PRSTO UE - Projets
CO5FOND UE - Sciences fondamentales
CO5SCOG0 UE - Cognitive engineering
2.00 ECTS
CO5INGLO UE - Engineering Culture and Language
56h
12h
CO6IN3IO UE - International, Intercultural, Interdisciplinary
CO6INGPO UE - Project management, engineering and design
00 h
00 h
57 h
28 h
54 h
52,4 h
52h
63h
03h
00h
30h
30h
CO6PRTPO UE - Transpromotion project
CO6PRTDO UE - Transdisciplinary project
CO6SFMAO UE - Probability and statistics
CO6SFINO UE - Introduction to programming
CO6SFBDO UE - Databases and web programming
CO6SCBIO UE - Basics of human biology and neurobiology
CO6SCCCO UE - Knowledge and skills management
CO6SCCRO UE - Knowledge and representation
CO6INCEO UE - Culture, Expression and Behavior
CO6INLDO UE - Living language 2
CO6INALO UE - Other Living language
CO6INANO UE - English
CO6INLVO UE - Living language 1 (choose 1)
4.00 ECTS
13.00 ECTS
8.00 ECTS
CO6PRSTO UE - Projets
CO6FOND UE - Sciences fondamentales
CO6SCOG0 UE - Cognitive engineering
5.00 ECTS
CO5INGLO UE - Engineering Culture and Language
Cognitique
COS60015
S6
18h
15h
CO7INALO UE - Other Living language
CO7INAEO UE - Support towards business
02h
53h
54h
37,33h
36h
25h
44h
33h
00h
27h
27h
27h
CO7PRTPO UE - Transpromotion project
CO7SFTSO UE - Signal processing
CO7SFTSO UE - Software engineering
CO7SFMA1 UE - Statistical modeling and dynamic systems
CO7SCTCO UE - Cognitive technologies
CO7SCIAO UE - Basics of artificial intelligence
CO7SCHSO UE - Human system interfaces
CO7SCEHO UE - Cognitive Engineering and Human System
CO7INCEO UE - Culture, Expression and Behavior
CO7INLDO UE - Living language 2 (optional)
CO7INAIO UE - English IELTS
CO7INANO UE - English TOEIC
CO7INLVO UE - Living language 1 (choose 1)
2.00 ECTS
13.00 ECTS
10.00 ECTS
CO7PRSTO UE - Projets
CO7FON0 UE - Sciences fondamentales
CO7SCOG0 UE - Cognitive engineering
5.00 ECTS
CO7INGLO UE - Engineering Culture and Language
Cognitique
COS70015
S7
37h
CO8SFDMO - Mobile development
30h
CO8SCTCO - Advanced Cognitive technologies
46h
15h
CO8INALO - Other Living language
CO8INMNO - Business issues
00h
27h
12h
35h
28h
32h
56h
32h
00h
24h
24h
CO8PRSPO UE - Application internship
CO8SFCAO - Control and Automatic
CO8SFPIO - Individual IT project
CO8SFMA1 - Mathematical modeling
CO8SCHSO - Human systems interfaces
CO8SCIAO - Machine learning
CO8SCSUO - Aid and replacement system & adapted design method
CO8SCFHO - Cognitive Engineering and Human System
CO8INCEO - Culture, Expression and Behavior
CO8INLDO - Living language 2 (optional)
CO8INANO - Functional English
CO8INLVO - Living language 1 (choose 1)
4.00 ECTS
8.00 ECTS
13.00 ECTS
CO8PRSTO UE - Internship
CO8FON0 UE - Basic sciences
CO8SCOG0 UE - Cognitive engineering
5.00 ECTS
CO8INGLO UE - Engineering Culture and Language
Cognitique
COS80015
S8
5 ECT S
5 ECT S
5 ECTS
5 ECTS
5 ECTS
7 ECTS
EE9AM2F UE - Engineering culture and languages
EI9ROE UE I9ROBOT-E - Professional integration
EI9ROD UE I9ROBOT-D - Robotic project
EI9ROC UE I9ROBOT-C - Embedded systems
7 ECTS
CO9AIO UE - Artificial intelligence
CO9PRSTO UE - Project and specialization
Cognitique
COS9SECH
S9
5 ECTS
7 ECTS
12 ECTS
4 ECTS
7 ECTS
12 ECTS
4 ECTS
7 ECTS
7 ECTS
12 ECTS
4 ECTS
EI9ROB UE I9ROBOT-B - AI and robotics
EI9ROA UE I9ROBOT-A - Modeling and control of robotic systems
CO9PRSTO UE - Project and specialization
CO9COGNO UE - Cognitics
CO9INGLO UE - Engineering culture and languages
CO9SYOO UE - Hybrid cognitive systems
CO9COGNO UE - Cognitics
CO9INGLO UE - Engineering culture and languages
CO9PRSTO UE - Project and specialization
CO9AUAUO UE - Increase and Autonomy
CO9COGNO UE - Cognitics
CO9INGLO UE - Engineering culture and languages
EIS9ROB S9 - Robotics and learning
COS9IA S9 - Artificial intelligence
COS9SYCO S9 - Hybrid cognitive systems
COS9AUAU S9 - Increase and Autonomy
Cognitique
COS00015
S10
00 h
CO0STSP0 - End of study internship
30.00 ECTS
CO0PRST0 UE - End of study internship
Languages and engineering culture
EE9AM2F
Professional integration
EI9ROE UE I9ROBOT-E
Robotics project
EI9ROD UE I9ROBOT-D
Embedded systems
EI9ROC UE I9ROBOT-C
IA and robotics
EI9ROB UE I9ROBOT-B
Design, command and control of robotic systems
EI9ROA UE I9ROBOT-A
Technical skills required (minimum) : Bachelor of science in Mathematics or Computer Science, or Mechanics, or Electrical engineering (or equivalent). English level required : B2 Places : 20 (priority is given to students from ENSC, ENSEIRB-MATMECA and students from partners’ universities) Duration : 1 year Organization : 1st semester : Courses (Sept. – January), 2nd semester: Internship (February, July-August)
This program is jointly proposed by ENSC and ENSEIRB-MATMECA engineering schools. Courses are proposed in English or in French with English documents.
(Master of Science level – ENSC / ENSEIRB-MATMECA)
SPECIALIZATION IN ROBOTICS
Contact: jean-marc.salotti@ensc.fr
Director: Jean-Marc Salotti
Evaluation : Report and oral presentation
5 to 6 months internship in a laboratory or company, in France or abroad, in the domain of cognitive engineering and artificial intelligence
Mandatory courses, 21 ECTS : 1) Project in cognitive engineering, 15 ECTS 2) Literature review, 3 ECTS 3) Français Langue Etrangère (3 ECTS Optional courses, 9 ECTS : 1) Human Robot Interactions, 3 ECTS 2) Basics of Artificial Intelligence, 3 ECTS 3) Human Factors and Human System Interactions, 3 ECTS 4) Planning, 3 ECTS
Second semesterFebruary to July (30 ECTS)
First semesterSeptember to January (30 ECTS)
Requirements: Bachelor in Mathematics/Physics/Computer science/Cognitive engineering
Masters of Science in Cognitive Engineering
Some courses are taught in English with documents in English (100% English) and others are taught in French with documents in English available and examination in English allowed (50% English).
ENSC S2-1: Machine Learning 3 ECTS, 50% English ENSC S2-2: Individual software engineering project 5 ECTS, 100% English ENSC - Internship 30 ECTS
ENSC_S1-1: Basics of artificial intelligence 3 ECTS, 100%English ENSC_S1-2: Human robot interactions 3 ECTS, 50% English ENSC_S1-3: Planning 3 ECTS, 100% English ENSC_S1-4: Project in Cognitive Engineering, 15 ECTS, 100% English ENSC_S1-5: Cognitive Engineering and Human System Interaction 3 ECTS, 50% English ENSC S1-6: Human systems interface 3 ECTS, 50% English Other courses
Second semesterFebruary to July
First semesterSeptember to January
List of courses taught in English at ENSC
Tailor made courses selection
Content : Human centered design of interfaces, analysis of interfaces, ergonomics Prerequisite : basics of cognitive science
Human System Interface
Content : Main algorithms and methods for action planning, path planning, motion planning in robotics. Main tools : graph search, A*, PDDL. Prerequisite : Advanced programming
Planning
Content: Introduction to A.I., Min-Max algorithm, general problem solving, graph search, Dijkstra, A*, genetic algorithms, constraint satisfaction problems, basics of robotics
Basics of artificial intelligence
Command and Control (6h) The aim of the course is to briefly present the robot control. After a brief reminder of the modeling tools developed (geometric, kinematic and dynamic models) and of the principle of PID type axis regulation, the main control architecture of robotic systems are presented. Two practical work sessions will illustrate the course. Robot models and performance analysis (30h) The objective of this course is to present the basic concepts of robotics, to allow students start reading more advanced texts. A student who has followed this course must have a rigorous and systematic approach to describe a manipulator robot: models geometric, kinematic and dynamic, forces and torques. He must also have knowledge language and basic concepts of robotics (Denavit Hartenberg, degrees of freedom, singularities, Jacobian matrix). Numerical methods for robotics (20h) The purpose of this course is to present a set of mathematical concepts required for modeling and controlling robotic systems.
EI9ROA UE I9ROBOT-A – Design, command and control of robotic systems – 4 ECTS
Content : Introduction to cobotics, examples of collaborative robots, exoskeletons, safety issues, practice with UR3 robotic arm and NAO robot. Prerequisite : Advanced programming
Human Robot Interaction
Energy autonomy (10h) This module deals with the conversion and management of electrical energy for the two main robotics needs of power supply on the one hand and actuator motor control on the other. Although closely related, these aspects of power electronics are dealt with in two separate parts. Mechatronics (16h) This course is dedicated to electronic, electrical and mechanical engineering issues in the design of robotic systems. Embedded systems project (21h) Application of mechatronics.
EI9ROC UE I9ROBOT-C – Embedded systems – 4 ECTS
Literature review, 3 ECTS
A list of books and technical articles is provided to each student in order to complete their knowledge on a specific topic of cognitive engineering. A structured synthesis of what has been read must be written. Evaluation : 10 pages report presenting the review.
All courses of the specialization in Robotics or from the Masters of Science in Cognitive Engineering can be selected. Depending on places and organizational constraints, some courses can also be taken in other Bordeaux INP engineering schools (agreement needed by international coordinator from that engineering school).
Other courses
EI9AU324 First conception of robot (35h) The objective is to design, build and program a small autonomous robot to carry out a mission. This will allow each of the groups of 3 student engineers to understand each of the disciplines of the training in a real situation (first week). Workshops (> 70h) Several workshops are organized each year in conjunction with special events. Indicative list: - AI for Industry workshop - Robot Operating System (ROS) workshop - Robot Maker’s Day
EI9ROE UE I9ROBOT-E – Professional integration – 5 ECTS
Planning in A.I., how to determine a list of actions to find a path or to achieve a goal, application to Robotics.
Planning
State of the art and methodology (20h) Introduction to research methodology, addressing issues, state of the art, referencing. Robotic project (20h) Groups of 3 to 4 students work on a robotic project under the direction of a supervisor.
EI9ROD UE I9ROBOT-D – Robotics project – 5 ECTS
Français Langue Etrangère (3 ECTS)
French lessons according to level.
Understanding human limits, management of cognitive resources, decision making, human errors, UX and human factors
Human factors and human system interactions
Machine learning for autonomous robots (10h) In machine learning, there is a set of proven statistical techniques that can to a certain extent be compared to forms of learning in living organisms. However, their implementation in autonomous robotics highlights a certain number of weaknesses in ensuring the autonomy of the agent. The aim of this course is to revisit these techniques in the light of data from neurosciences and social sciences to present algorithms allowing learning in autonomy, by simple interaction with the environment and with survival criteria defined a priori. Human robot interactions (23h) This course is an introduction to cobotics (collaborative robotics), with a focus on industrial applications, safety and human factors issues. 15 hours of practice are included, with the use of UR3 robotic arms and NAO or Pepper humanoid robots. Computer vision for robotics (44h) Introduction to the existing methods and libraries to process images and videos in the context of robotics, from edge detection to object and face recognition in real time. Automatic planning in robotics (10h) Planning in A.I., how to determine a list of actions to find a path or to achieve a goal, application to Robotics.
EI9ROB UE I9ROBOT-B - IA and robotics – 7 ECTS
Content : End-to-end project in computer science, from the specifications (by the student) and project management to implementation (in the programming language chosen by the student) and tests, under the supervision of a professor. Prerequisite : Advanced programming
Individual software engineering project
5 to 6 months internship in a Bordeaux university laboratory. Please contact the direction of the laboratory for internship availability.
Internship
Under the responsibility of an academic supervisor, the student works on a project in the field of cognitive engineering. For example, participate to an experiment with robots and humans or implement machine learning techniques. Prerequisite: Bachelor with scientific background
Project on cognitive engineering
- Professional project - English - Entrepreneur challenge - Student involvement (optional)
EE9AM2F Languages and engineering culture – 5 ECTS
Project in cognitive engineering, 15 ECTS
In the field of cognitive engineering, it is in general required to design an experiment involving users in order to test human systems interactions. Under the supervision of a professor, a group of students (1 to 3) has to work on a specific cognitive engineering project to gain a practical experience on that subject. Some time might be spent in a laboratory. Examples of research teams involved in cognitive engineering projects: - Cognitics and Human Engineering team of the IMS laboratory - Auctus team from Inria (collaborative robotics). Evaluation : Report and oral presentation
(skill requirement, advanced programming) Minmax, graphs, general problem solving, heuristic search (A*), genetic algorithms
Basics of Artificial Intelligence
Content: Understand human limitations and capabilities (both physiological and cognitive) and take them into account in IHS design. The case of aeronautics. Key words: - Human limits and capabilities - Cognitive Resource Management (CRM) - Perception, information TTT, decision-making, human error, stress, learning, motivation - Human-System Interaction - UX & Human Factors - Disruptive innovation Prerequisite: Bachelor with scientific background
Cognitive Engineering and Human System Interaction 3 ECTS, 50% English
Content : Supervised and unsupervised learning, neural networks, multi-layer perceptron, CNN, practice with Google Colaboratory platform Prerequisite : Advanced programming
Machine learning
Physical and cognitive human robot interaction ; risk issues ; teleoperation, exoskeleton, cobotics ; practice: use of robotic arm (UR3) and humanoid robots