The Second Spring School NISS,is open to any interested person (academic or industrial), it is primarily intended for PhD students or researchers at the beginning of their career, and aims to present a summary as well as the most recent advances in a topic of current research.

The School includes Tutorials in Machine Learning and Deep Learning Security of IoT, HPC.


Recently, machine learning and deep learning have attracted a lot of attention from industry, the media and academia. Its impact on businesses and industries cannot be underestimated. The subject related to this field is very broad and involves many research and development activities. We plan to present an effective tutorial on such a broad topic. Our plan is to teach some of the most important fundamental techniques that have proven to be common and universal for many of the most popular algorithms, machine learning and deep learning and its applications.

Course Overview::

  1. Machine learning Algortihms
  2. Deep learning Algortihms
  3. Examples of Machine learning in intelligent transport
  4. Examples of Deep learning in Smart Cities and Iot examples
Course Animated by Youssef Hbali
SAGEM, Paris, France


Recently, the enormous of internet data traffic has driven the capacity demands for currently deployed 3G and 4G wireless technologies. Furthermore, intensive research toward 5th generation wireless communication networks is progressing in many fronts. To overcome different challenges related to the networking research beyond 5G. In one hand, the networks infrastructures have an industrial roadmap and they have to bring wireless systems to the speed of optical technologies. In other hand, research in networks is needed beyond in time and scope, consequently the blooming of new ideas and opportunities and foster new scientific concepts towards industrial innovation world.

Course Overview:

  1. 5G Concepts and Technologies
  2. Machine learning over wireless
  3. IoT Applications.
  4. Smart Cities Environements
  5. Millimeter-wave communication,
  6. URLLC.
Tutoriel Animated by Prof. Mehdi Bennis
University of Oulu, Finland


All major research and industrial sectors use optimization and high performance computing. These two disciplines are also becoming an important issue for company competitiveness allowing them to reduce time and cost of their product design. This training offers an overview on the optimization, the high performance computing, the most used methods and tools, its contributions and its applications.

Course Overview:

  1. Introduction to High Performance Computing and Optimization
  2. Contributions and applications of the HPC and optimization
  3. Modern implementations techniques
  4. High Performance Computing technologies
  5. Modeling, measurement and performance analysis
  6. Practical case
Tutorial Animated by : Prof. Youssef Mesri
MINES ParisTech


INPT Wednesday, March 27, 2019 From 8:30 Am to 12:45pm Break at 10:30 am Tutoriel 1 : Machine Learning and Deep Learning
INPT Wednesday, March 27, 2019 From 2:00 pm to 6:30pm Break at 4:00pm Tutorial 3 :High Performance Computing



Registration fees Before March 01, 2019
1 Training Class 500 DH (~50 Euro)
2 Training Classes 1000 DH (~100 Euro)
All Training Classes 1500 (~150 Euro)

Places are limited to 20, interested condidates are asked to pay the registration fees on the below bank account and entering their information in the form
The registration fees include: the training certificate, electronic course and workshops, a notepad & pen and coffee breaks.

For any information, please contact us :



  • Payment to : Association Mediteranienne des Sciences et Technologies
  • IBAN:164 640 2111610546290014 23
  • Bank Name :Banque Populaire
  • Bank Address : Agence SIDI DRISS, Tanger Maroc
  • Reference Reason: SPRING_NISS