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Digital Systems
  • Diplôme préparé : Ingénieur Polytech Marseille spécialité Systèmes numériques - FICHE RNCP
  • Nombre moyen d'élèves dans une promotion : 10-15
  • Domaines de formation concernés (parmi les 12 domaines du réseau Polytech) : Électronique et systèmes numériques.
  • Parcours possibles : Formation Initiale par apprentissage
  • Campus : Château-Gombert

Sector objective

The aim is to train digital systems engineers who have mastered all the components of the Internet of Things:

  • the sensor and the connection circuit attached to it
  • Information processing on the sensor
  • Information transmission
  • Storage, analysis and mining of information and data
  • Analysis output
  • Uses - Actions

To achieve this objective, we have set up subject groupings whose hourly volume is balanced between the scientific fields involved, notably electronics and computer science. A significant part of the course is devoted to the uses of IoT in various fields of application, such as smart cities, industry 4.0, sport, health and home automation. English language, business organization and financial management, sustainable development, project management, technology transfer and law complete the curriculum. For more information, see the course schedule for each semester.

Admissions

Entry to 1st year of the engineering cycle (year 3 post-bac): competitive entrance examination (selection based on application and interview)

Prerequisites: 120 ECTS validated (L2, or equivalent), particularly after a preparatory course integrated into Polytech (PEIP), a DUT (targeting Physical Measurement, Electrical Engineering and Industrial Computing, Networks and Telecommunications, Computing) or a preparatory class.

Eligibility for apprentice status : Students must be under 26 years of age at the time of admission to the school.

Area of expertise

The digital systems engineer is an Internet of Things "generalist" engineer, capable of working across the entire Internet of Things ecosystem.

Digital systems engineering skills

Digital systems engineering skills :

  • Circuit measurement sensors
  • Data acquisition and formatting
  • Data transmission and access
  • Data analysis
  • Information retrieval
  • Actions Uses

Material grouping

  • Components for the Internet of Things

    • Sensors and related electronics
    • Analog electronics
    • A/D D/A converters
    • Servo systems
    • Microcontrollers
    • Architecture and data buses for embedded systems
    • Power electronics / Electric drives
    • Hardware security
    • Routing and EMC
    • FPGA
    • Energy management - Energy recovery
    • Digital electronics
  • Telecommunications for the Internet of Things

    • Digital signal processing
    • Wireless technologies (Bluetooth, Wifi, RFID, NFC... )
    • Digital signal transmission
    • Internet networks
    • 5G technologies
    • Analog and digital modulation
    • Mobile networks
    • Network deployment and telecommunications
    • IoT data exchange application protocols
    • Wireless transmission
    • Telecommunications protocols for IoT: LPWAN -LORA...
  • Software development and services

    • Algorithms, programming and numerical calculation (C, Java support)
    • Web development (PHP, MySQL, Javascript)
    • Mobile development (Java Android)
    • Real-time systems (scheduling, events) (C support)
    • Software analysis and design (Posix, UML, Java support) + testing
    • Service-oriented development (service layers, SAAS applications, Edge services...)
  • Information processing

    • Data analysis (statistics, descriptive analysis, regressions, clustering)
    • IS and DBMS (Java, SQL support)
    • IS and data security
    • Data structuring and interoperability, standards (XML, JSON support), IoT Gateway
    • No SQL databases and indexing (graphs, schemas, documents)
    • Multi-criteria decision support
    • Machine learning (prediction, deep learning)
    • Heterogeneous and multimodal data in IoTs
  • Uses

    • Smart Grid
    • Smart city, Smart port
    • Industry 4.0 (Robotics, Command & Control)
    • IoT Sport and e-health
    • IoT and home automation (connected objects, personal assistants, etc.)
    • Connected vehicles
    • RGPD
    • Project Study, design and implementation of IoT solutions
  • Languages-SHEJS

    • Languages
    • Organization and Functioning of Companies
    • Corporate Financial Management
    • CSR and Sustainable Development
    • Ethical HR
    • Project Management
    • Innovation, technology transfer and entrepreneurship
    • Project law and economics
    • Professional Project

Two series of courses are directly linked to business and international experience:

  • EU International

    Carried out either at the Telecommunications School of the University of Vigo (Spain, courses in English or Spanish), or on assignment within the company.

  • EU Company

    • Missions en entreprise
    • Focus on :
      • Corporate knowledge
      • Sustainable development
      • Technical project
      • Introduction to Project Management
      • Project management
      • Project economics
      • Engineering project

By the end of the course, engineering students will have a sound knowledge and understanding of the fundamental sciences and concepts involved in the Internet of Things ecosystem. They will have mastered the links between the various disciplines involved in the Internet of Things, and will be able to collaborate with specialists from each of these disciplines and get them to interact.

Apprenticeship training in the Digital Systems specialization is organized in partnership with CFA EPURE, a partner ofAix-Marseille University.

It comprises :

  • specialization courses (Scientific Training and Engineering Methodology) (worth 87 ECTS)
  • courses in modern languages and Human, Economic, Legal and Social Sciences (worth 18 ECTS)
  • in-company projects and assignments for a gradual build-up of skills from technician level (year 1, semester 5) to engineer level (year 3, semester 10) (worth 65 ECTS)
  • a 12-week international placement (worth 10 ECTS).

The distribution of ECTS between UE Ecole and UE Entreprise over the course of the semesters is as follows:

Distribution of ECTS between School and Company courses by semester
Semester School UE Corporate UE International
S5 25 5
S6 25 5
S7 20 10
S8 25 5 10
S9 20 10
S10 30
Total 105 65 10

  • 3rd year

    Semester 5

    Basic electronics :

    • Analog electronics (30 hours face-to-face) - 5 ECTS
    • Power Electronics / Electric Motorization (32 hours classroom training) - 5 ECTS
    • Digital Electronics (16 hours face-to-face) - 5 ECTS

    Signal processing and algorithms :

    • Digital Signal Processing (40 classroom hours) - 5 ECTS
    • Algorithms, Programming and Numerical Calculation (C, Java support) (40 hours classroom training) - 5 ECTS

    Information processing

    • IS and DBMS (Java, SQL support) (40 hours classroom training) - 6 ECTS
    • Structuring and interoperability of data and metadata (XML, JSON, Java media) (40 hours classroom training) - 6 ECTS

    Applications

    • Smart Grid (18 hours classroom training) - 5 ECTS
    • Smart City and smart port (18 hours classroom training) - 5 ECTS
    • Industry 4.0 (Maintenance, Robotics, Control) (18 hours classroom training) - 5 ECTS
    • Project Study, design and implementation of IoT solutions (30 hours classroom training) - 5 ECTS

    Languages - SHEJS

    • Languages (40 hours classroom training) - 4 ECTS
    • Organization and Functioning of Companies (20 hours face-to-face) - 4 ECTS

    UE Company

    • In-company assignments 5 ECTS
    • Focus : Corporate Knowledge 5 ECTS

    Total hours: 362 hours / 30 ECTS

    Semester 6

    Sensors - Electronic components :

    • Sensors and associated electronics (40 hours classroom training) - 4.5 ECTS
    • Analog Electronics (18 hours face-to-face) - 4.5 ECTS
    • Microcontrollers (22 hours face-to-face) - 4.5 ECTS

    Fundamentals of servo control and modulation

    • Servo Systems (20 hours classroom training) - 3 ECTS
    • Analog and Digital Modulation (34 classroom hours) - 3 ECTS

    Algorithms and data-driven Web development

    • Algorithms, programming and numerical computation (C, Java support) (40 hours classroom training) - 4.5 ECTS
    • Web development (PHP, MySQL, Javascript) (30 classroom hours) - 4.5 ECTS

    Information processing (Big Data, Data Mining, AI)

    • IS and data security (40 classroom hours) - 4.5 ECTS
    • Data analysis (statistics, descriptive analysis, regressions, clustering) (R support, Python) (40 classroom hours) - 4.5 ECTS

    Applications

    • Industry 4.0 (Maintenance, Robotics, Command and Control) (18 hours face-to-face) - 4 ECTS
    • IoT Sport and e-health (18 hours face-to-face) - 4 ECTS
    • Project Study, design and implementation of IoT solutions (30 hours classroom training) - 4 ECTS

    Languages - SHEJS

    • Languages (40 hours classroom training) - 4.5 ECTS
    • Corporate Financial Management (12 classroom hours) - 4.5 ECTS
    • CSR and Sustainable Development (18 hours face-to-face) - 4.5 ECTS
    • Professional Project (12 hours face-to-face) - 4.5 ECTS

    UE Company

    • Company Missions - 5 ECTS
    • Focus : Sustainable Development - 5 ECTS

    Total hours: 430 hours / 30 ECTS

  • 4th year

    Semester 7

    Components for the Internet of Things :

    • A/D/D converter (18 hours classroom training) - 3 ECTS
    • Microcontrollers (16 hours face-to-face) - 3 ECTS
    • FPGAs (22 hours classroom training) - 3 ECTS

    Networks and Telecommunications for the Internet of Things :

    • Digital Signal Transmission (28 hours classroom) - 4 ECTS
    • Application and exchange protocols for the IOT (12 classroom hours) - 4 ECTS
    • Wireless technologies (Bluetooth, Wifi, RFID, NFC, etc.) (30 hours classroom training - 4 ECTS)

    Mobile development and real-time systems :

    • Mobile development (30 hours classroom training) - 3.5 ECTS
    • Real-time systems (scheduling, events) (30 classroom hours) - 3.5 ECTS

    Big Data :

    BD No SQL and indexing (graphs, schemas, documents) (40 hours classroom training) - 3 ECTS

    Applications

    • IoT Sport and e-health (18 hours classroom training) - 3 ECTS
    • IoT, Home Automation (18 hours classroom training) - 3 ECTS
    • Project Study, design and realization of IoT solutions (24 hours face-to-face) - 3 ECTS

    Languages - SHEJS

    • Languages (40 hours classroom training) - 3.5 ECTS
    • Project Management (12 hours in-class) - 3.5 ECTS
    • Project Law and Economics (12 hours face-to-face) - 3.5 ECTS

    UE Company

    • Company Missions - 10 ECTS
    • Focus : Technical Project - 10 ECTS
    • Focus : Introduction to Project Management - 10 ECTS

    Total hours : 370 hours / 30 ECTS

    Semester 8

    Data bus - Mobile network :

    • Architecture and data buses for embedded systems (16 classroom hours) - 3.5 ECTS
    • Mobile Networks (32 classroom hours) - 3.5 ECTS

    Software development and decision support

    • Software analysis and design (UML, Java support) and software testing (30 hours classroom training) - 5 ECTS
    • Multi-criteria decision support (40 hours in-class) - 5 ECTS

    Uses

    • Connected vehicle (18 hours classroom training) - 3 ECTS
    • Project Study, design and implementation of IoT solutions (24 hours classroom training) - 3 ECTS

    Languages - SHEJS

    • Languages (40 hours classroom training) - 3.5 ECTS
    • Innovation, development, transfer and entrepreneurship (12 hours face-to-face) - 3.5 ECTS

    UE Company

    • Company Missions - 5 ECTS
    • Project Management - 5 ECTS

    UE International

    • Either as part of a mobility program supervised by the company - 10 ECTS
    • Academic mobility - 10 ECTS



    Total hours: 212 hours / 30 ECTS

  • 5th year

    Semester 9

    Components for the Internet of Things :

    • Routing and EMC (20 hours face-to-face) - 3 ECTS
    • Hardware Security (20 hours classroom training) - 3 ECTS
    • Energy Management-Recovery (8 hours face-to-face) - 3 ECTS

    Networks and Telecommunications for the Internet of Things :

    • Telecommunications protocols for the IOT. LPWAN-LORA (20 hours classroom training) - 6 ECTS
    • 5G Technologies (20 classroom hours) - 6 ECTS
    • Network and Telecommunications Deployment (24 hours classroom training) - 6 ECTS
    • Hertzian Transmissions (36 classroom hours) - 6 ECTS

    Information processing software and services :

    • Services, Edge and Cloud for the IoT (32 hours classroom training) - 5 ECTS
    • Machine Learning (36 classroom hours) - 5 ECTS
    • Heterogeneous and multimodal data in IoT (28 hours classroom training) - 5 ECTS

    Uses

    • RGPD (18 hours face-to-face) - 2.5 ECTS
    • Project: Study, design and implementation of IoT solutions (18 hours face-to-face) - 2.5 ECTS

    Languages - SHEJS

    • Languages (40 hours face-to-face) - 3.5 ECTS
    • Ethics (18 hours face-to-face) - 3.5 ECTS

    UE Company

    • Company Missions - 10 ECTS
    • Project Management - 10 ECTS

    Total hours: 322 hours

  • In-company assignments to take you from technician (S5) to engineer (S10)

    Successive levels are therefore proposed to enable apprentices to progressively develop the different skills they have acquired. Apprentice students will have to carry out various types of projects during their periods of immersion in the company:

    • The first phase of immersion will enable students to gain an understanding of how the company is structured and operates.
    • The second phase of immersion will be devoted to the means and methods implemented in the company in the context of sustainable development and corporate social responsibility.
    • A technical project in which the student learns how to manage projects and solve the associated problems, as well as how to justify the technical choices required to ensure the long-term viability of the proposed solution.
    • A project where the economic aspect of product development will be tackled, so that the student can grasp this dimension as automatically as possible in the rest of his or her curriculum.
    • A management/animation project to develop the human and relational management aspect of the company.
    • The engineering project, which the student will complete in the last semester of the course.
  • A work-study schedule that allows training to take place far from the workplace

    The first year consists of blocks of 3 to 4 weeks of training at the school and 2 to 3 weeks of training at the company, ending with 9 weeks at the company. For the following two years, students will alternate between two weeks at school and two weeks at the company. This work-study schedule has been defined to enable students to find a company throughout France.

    It can be represented schematically in the following table:

    Alternation rhythm

    Alternation rhythm

    3A :

    • Weeks at school: 35, 36, 39 to 41, 44 to 46, 49, 50, 2 to 5, 8 to 10, 13 to 15, 18 to 20, 13 to 25
    • Weeks at the company: 37, 38, 42, 43, 47, 48, 51, 52, 1, 6, 7, 11, 12, 16, 17, 21, 22, 26 to 34

    4A :

    • Weeks at school: 37, 38, 41, 42, 45, 46, 49, 50, 1, 2, 17, 18, 21, 22, 25, 26, 29, 30
    • Weeks at the company: 35, 36, 39, 40, 43, 44, 47, 48, 51, 52 3, 4
    • Weeks abroad: 5 to 16

    5A :

    • Weeks at school: 35, 36, 39, 40, 43, 44, 47, 48, 51, 52 3, 4, 7, 8, 11, 12, 15, 16
    • Weeks at company: 37, 38, 41, 42, 45, 46, 49, 50, 1, 2, 5, 6, 9, 10, 13, 14, 17 to 34

    Benefits

    • Rapid acquisition of the fundamentals of the profession in the first year of the engineering cycle
    • Regular in-company periods from the first year onwards
    • Integration of an international internship into the engineering cycle
    • Long-term in-company end-of-study project
    • Mixing of FISE/FISA classes with school periods as part of joint courses with GII or MT
    • Mix of FISA (INFO and ME) classes for languages and SHEJS

    Hourly volume of face-to-face student/teacher contact for each semester :

    Timetable

    • Semester 5: 382
    • Semester 6: 430
    • Semester 7: 370
    • Semester 8: 212
    • Semester 9: 342

    Total: 1,736

    Students at school

    • Semesters 5 and 6: 910
    • Semesters 7 and 8: 700
    • Semester 9 : 560

    Total cost: 2170

  • Apprentice follow-up

    To ensure that apprentices are properly supervised throughout their training, a dual tutoring system will be set up between the company and the school:

    • A company tutor appointed by the company as a work placement supervisor to accompany the apprentice during his or her training at the company.
    • A school tutor teaching at Polytech, responsible for supporting the future engineer throughout his or her training.

    Follow-up is formalized by the apprenticeship booklet offered by the CFA EPURE, based on the company's assessment of the student. This booklet is a real liaison tool between the school, the apprentice and the company. It is the tool that will enable both the company and the school to assess the student's progress in terms of skills. For each stage of the work-study program, it summarizes all the apprentice's activities and achievements. This document is entrusted to the student engineer and follows him throughout his training.

The school set out to define five key competencies for Polytech Marseille engineers. These five core competencies were then translated into expectations for all courses, and in particular for the digital systems course.

  • Analyze complex technical problems

    • By applying fundamental science and concepts involved in the Internet of Things ecosystem.
    • By establishing interdisciplinary collaboration with specialists in each of the Internet of Things disciplines
    • By exploiting valid and relevant information
    • By participating in fundamental or applied research activities
    • By transferring innovations from research to the industrial context
  • Design products, systems and processes

    • Mobilizing hardware and software resources to design electronic systems and devices for Internet of Things applications.
    • By designing systems for storing, processing and retrieving data encountered in the Internet of Things.
    • Carrying out simulations of analog or digital circuits using IT tools.
    • By simulating the digital information transmission chain, which may have real-time or low-latency requirements.
    • By modeling a complete data storage, analysis and processing chain, using data analysis tools and Big-Data/No SQL architectures.
  • Manage the design, implementation and operation of products, systems, services, structures and processes

    • Integrating and testing electronic systems corresponding to defined specifications.
    • By evaluating digital communications systems adapted to the specific needs of the Internet of Things.
    • By integrating and testing database storage and management systems
    • By integrating and testing data analysis and retrieval tools
    • Integrating and testing real-time or low-latency systems
    • Evaluating, according to objective criteria, the complete processing and generalization capacity of an analysis and processing chain on real data.
    • By setting up systems to secure data and data transmission.
    • By implementing data mining and machine learning approaches, adapted to the field of activity and the data involved.
  • Acting as a responsible engineer

    • Knowing the regulatory context for security and data protection.
    • By taking into account the "use" and "acceptance" dimension in the design and development of new Internet of Things devices.
    • Understanding the basics of intellectual property.
    • By taking into account the company's challenges: economic dimension, respect for quality, competitiveness and productivity, commercial requirements, business intelligence.
    • By identifying ethical and professional responsibilities, workplace relations, health and safety and diversity issues.
    • By taking environmental issues into account, in particular by applying the principles of sustainable development.
    • Taking into account the challenges and needs of society.
    • By identifying the potential biases and risks associated with the massive implementation of data analysis and artificial intelligence approaches.
  • Acting in a professional environment

    • Participating in the life of the company, its organization, management and development.
    • By undertaking or innovating, through personal projects or by taking the initiative and getting involved in entrepreneurial projects within the company.
    • Working in an international and multicultural context.
    • By self-assessing and managing skills (particularly in the context of lifelong learning).

International mobility is a requirement for the Polytech Marseille engineering diploma. It must be 12 weeks "cumulative post-baccalaureate", with a minimum of 4 consecutive weeks. The mobility options provided for in Polytech Marseille's study regulations are as follows:

  • Study semester abroad
  • Internships
  • Employment
  • Woofing
  • Foreign students who have completed part of their studies in their home country.
  • Gap year

Study semesters abroad

Semesters abroad in 4A (Semesters 5 to and 16) are encouraged by all the bilateral agreements (ERASMUS, Hors Europe, CIVIS, BRAFITEC, etc.) linking the University, the School and our program with other foreign universities (Japan, Canada, Taiwan, South Korea, USA, Argentina, Brazil, Mexico, Chile, Belgium, Italy, Sweden, Germany, Spain, etc.). In the "Mechanics and Energy" department, our preferred partner universities include :

  • Karlsruhe Institute of Technology (Germany)
  • Université de Sherbrooke (Canada)
  • Université du Québec à Montréal (UQAM) (Canada)
  • University of Toronto (Canada)
  • Université du Québec à Chicoutimi (Canada)
  • Instituto Tecnologico de Queretaro (ITQ) (Mexico)
  • Universidad Tecnica Federico Santa Maria (USM) (Chile)
  • Università di Bologna (Italy)
  • Sapienza Università di Roma (Italy)
  • Korea University (South Korea)
  • Universidad de Oviedo (Spain)
  • Université Libre de Bruxelles (Belgium)
  • University College Dublin (Ireland)

Internships abroad

Internships, particularly in 3A and 4A, are also carried out in foreign companies or research laboratories (Morocco, Tunisia, Algeria, Great Britain, China, Chile, Colombia, Germany, Taiwan, Australia, Ecuador, USA, Belgium, Turkey, Ivory Coast, Andorra, Togo, Switzerland, Lebanon).

Contacts

Contact à ajouter
Nom
Prénom
Hervé
Nom
TORTEL
Fonction
Fonction
Head of Digital Systems
Contact à ajouter
Nom
Prénom
Marie-Pascale
Nom
MORA
Fonction
Fonction
Education Manager Digital Systems