IMT Lille Douai has developed a range of programs provided in English.
International students get the opportunity to study semesters totally taught in English.
- UV Project (To be defined at the time of registration with the pedagogical manager), on the Douai Campus
- UV MSI: Information System Management, on the Lille Campus
UV MSI Objectives:
This UV consists of 3 parts:
- Information System (IS) and project management: the performance of the company’s business lines through governance (Cobit, Itil), management via business processes, and quality of service indicators. The specificities of the IS Project Management are also covered.
- Enterprise Resource Planning: theoretical training on SAP, the most popular software suite that includes: an Integrated Management Software (ERP), a Customer Relationship Management (CRM), a Product Management (PLM), a Logistics part (SCM) and a Supplier Relationship Management (SRM).
- Business Intelligence (BI): in the context of today’s challenges related to Big Data, it should allow decision makers to be proactive, that is to say, to anticipate actions to achieve according to their knowledge. Applications may concern commerce – electronic or not – but also banks, medical research or the detection of fraud.
These courses are delivered by professionals and will rely on case study analysis and projects using SAS / R software. A review of the latest technology will also be realized by the students.
Prerequisites: Basics of algorithmics, statistics, artificial intelligence
- UV SAI: Industrial Automation Systems
- UV AS: Automotive System
UV Industrial Automation Systems (SAI)
Objectives: This UV trains engineers in the fields of automation and control of industrial systems, with a wide variety of possible applications. This US covers both the discrete and continuous aspect of industrial systems control.
Prerequisites: Signal theory, control of linear systems (PID), Matlab
List of courses:
- Control of Discrete Systems (32h). Lectures -12h and Lab Sessions -20h
- Control of Continuous Systems (44h). Lectures -24h, Tutorial -4h and Lab Sessions -16h
UV Automative Systems (AS)
Objectives: This UV presents the technologies and the methods allowing to implement algorithms related to the control and the signal processing in an embedded context, particularly in the field of devices linked to mobile systems (vehicles) or to operational parts in an industrial setting (robots). It is organized into two subjects:
- Industrial Digital Systems Architecture: this course treats the notion of microcontrollers
- Embedded Systems for Control: this course details the mechanisms of the operating systems used to create real-time multiprocess applications for control and signal processing.
This UV is organized as a project in which students must solve a concrete problem (eg control of an operative part, integrating the right choice of sensors, their implementation and the development of corresponding algorithms on target systems: PCs, Beagle Bone Black or RaspBerry). The courses are mainly in the form of tutorials.
Prerequisites: UV SAI
List of courses:
- Industrial Digital Systems Architecture (40h). Lectures -4h and Tutorial -36h
- Embedded Systems for Control (40h). Lectures -4h and Tutorial -36h
- Project (16h)
3 possibilities :
- UV LOGIST : Logistics and Intelligent Transport Systems
- UV CODES : Compression and Error-correcting Codes
- UV MAD : Decision Making Models and Algorithms
UV Logistics and Intelligent Transport Systems
Objectives: Well-designed transport and logistics systems are fundamental to efficient individual mobility, commerce, and industry. With ever-increasing volumes of traffic and goods, we face a huge challenge: How to guarantee sustainability of logistic and transport systems?
This UV focuses on the integration of Information Technologies and Optimization into transport and logistics systems, with the aim of increasing efficiency, safety, mobility and customer satisfaction while reducing environmental impact. You will use computer-based optimization models and simulation tools for transportation, warehousing and inventory, and logistics network design. You will acquire engineering and managerial skills to understand, develop and control future transport and logistics systems. Finally, you will be able to find solutions for logistics networks that minimize costs and deliver top customer service.
Prerequisites: Introduction to Operations Research
List of courses:
- Logistics and supply chain management (52h). Lectures -28h, Lab Sessions -12h and Project -12h
- Intelligent transportation systems (36h). Lectures -24h and Lab Sessions -12h
- Simulation of transportation systems (10h). Lectures -5h and Lab Sessions -5h
UV Compression and Error-correcting Codes
Objectives: To efficiently transmit or store data, two steps are required:
- find an efficient representation of the data (image, text, video, speech, etc) in order to optimize the transmission time or the necessary storage space
- protect the data against noise introduced by the transmission channel or the storage medium.
This course focuses on these two key steps: lossy and lossless compression and channel coding. We will also discuss
- a part of information theory of relating to the flow / distortion theory
- data compression methods with or without loss (arithmetic codes, scalar and vector quantizer, wavelets, …)
- error-correcting codes used in telecom standards (convolutional codes, LDPC codes, turbo-codes, polar codes, …)
Prerequisites: basics of information theory, basics of channel coding, basics of course coding
List of courses:
- Review of Information Theory (5h). Lecture -1h and Tutorial -4h
- Intro to optimization, KKT (4h). Lecture
- Data compression (37h). Lecture -15h, Tutorial -4h and Lab Sessions -18h
- Error correcting codes (20h). Lecture -14h, Tutorial -4h and Lab Sessions -2h
- Project (29h)
UV Decision Making Models and Algorithms
Objectives: This UV aims to teach students:
- Understanding the issues related to business intelligence
- Knowing how to model decision problems
- Mastering different tools of artificial intelligence and operational research
List of courses:
- Combinatorial Optimization (20h). Lectures -10h and Lab Sessions -10h
- Constraint programming (20h). Lectures -10h and Lab Sessions -10h
- Simulation of multiagent systems (20h). Lectures -10h and Lab Sessions -10h
- Statistical decision (20h). Lectures -10h and Lab Sessions -10h
- Visit + round table
- UV MDATA: Multimedia Data
- UV FOTONS: Optical Functions for Telecommunications
- UV 5G: Understanding 5G
- UV AADA: Advanced Machine Learning and Data Analysis
- UV LARM1: Software and Architecture for Mobile Robotics 1
UV Multimedia Data
Objectives: Multimedia data sources are increasing in number and scope (social networks, medical imagery, video surveillance, etc.) and these data are used in a growing number of fields: marketing, commerce, security, medicine, human-machine interaction, robotics, etc. The intrinsic richness of this data requires specific methods and tools to process, organize and interpret them. This UV provides the basic concepts for the management and exploitation of multimedia data (image, text, sound and speech).
This UV is structured into 3 parts:
- the processing of visual, textual and audio data
- access to data by information search methods (search engines)
- interpretation of data by machine learning methods (neural networks, SVM, clustering, etc.).
This UV consists of theoretical courses (50%) and practical work (50%).
UV Optical Functions for Telecommunications
Objectives: The primary objective of this module is to teach the different elements of an optical link. This is broken down as follows:
- characterization of the different constituent elements
- modeling their operation
- measuring the characteristics of the sources and of the detectors
- determining the performance limits of the fibers (single mode, multimode propagation, dispersion …)
- defining the characteristic quantities of the passive fiber components (Bragg gratings) and active components (laser, optical amplifier)
- evaluating the effects of linear and nonlinear optical phenomena and their impact on data transmission by optical fibers in terms of bit rate and signal quality (signal-to-noise ratio, bit error rate).
UV Understanding 5G
Objectives: The evolution of cellular networks poses tighter and tighter constraints, in terms of data rates, user density, heterogeneity (services, devices), etc. To understand the new generations (4G, 5G), it is important to understand the technological solutions put in place to increase the global capacity of networks. This module presents the solutions implemented in last generation wireless networks to achieve the ambitious objectives of 5G.
The courses are mainly related to the physical layer of 5G:
- Digital communications and signal processing for wireless communications.
- Multiple access methods (NOMA)
- The case of IoT and dense networks.
- OFDM and MIMO techniques
- The massive MIMO
- Issues related to millimeter band communications
UV Advanced Machine Learning and Data Analysis
Objectives: This UV covers techniques for data science by applying them directly to real-life and/or industrial data. It is an introduction to concepts in data science such as classification/ clustering/ pattern recognition and tools for big data.
UV Software and Architecture for Mobile Robotics 1
Objectives: This module aims to teach the fundamental concepts in computing to answer the specific challenges of mobile robotics through the realization of concrete mini-projects. The evaluation of the module is carried out around a competition using the concepts and techniques seen in the mini-projects.