Category Archives: Ingénierie

How companies can surf the digital wave.


Transform or disappear, the Darwinism of IT: In order to adapt to a digital world, a two-speed IT is needed.

Despite the importance of IT in today’s digital world, Chief Information Officers (CIOs) often struggle to get their voices heard by executive committees.

Faced with this challenge, IT departments are being forced to reinvent themselves to adapt their companies to the fast paced evolution of technology. The Boston Consulting Group has developed a business approach that allows IT to shed off its appearance of a heavy cost center and to adopt a new, more realistic persona as a quality service provider, partnering with users and the management.

Would you be a professional, a student in engineering, a student in a business schools or would you just be interested in digital transformation and its implications on IT, Learn with three BCG experts why and how to manage an IT department as a business in order to transform a company and adapt it to a digital world.

Comment les choses fonctionnent.

Designed for non-science students, this course is a practical introduction to physics and science in everyday life. It considers objects from the world around us, identifying and exploring the scientific concepts upon which they’re based. Because it starts with objects and looks within them for science, it is the reverse of a traditional physics class. Instead of the usual principle-driven physics class, How Things Work is case-study physics.

In this pilot semester of How Things Work, we will explore the basic laws of motion in the context of six familiar objects or activities: (1) Skating, (2) Falling Balls, (3) Ramps, (4) Seesaws, (5) Wheels, and (6) Bumper Cars. Despite their simplicity, these topics will bring us in contact with some of the most important concepts in physics, including inertia, energy, and momentum.

This course is self-paced. You can begin anytime and proceed at whatever speed you like. Although it typically takes about six weeks, you can finish it in three months or three days. With students ranging in age from 7 to 80+, there is little reason to follow a conventional academic schedule. This course should fit your lifestyle, not the other way around.

Subtitles are now available in more than 13 languages, with many translations prepared by volunteers from the course. Those translations are complete in Chinese and French, and nearly complete in German, Hebrew, Japanese, and Spanish. Other languages include: Arabic, Greek, Hindi, Italian, Korean, Portuguese, Russian, and Urdu.

Beauté, forme et fonction : une exploration de la symétrie

Learn how to identify symmetrical forms and appreciate their importance in nature, art, architecture, crystallography and technology. Understand symmetry quantitatively, recognize its role in beauty and design, and appreciate its function in our everyday life. The level of difficulty is intermediate-to-hard depending on the Track chosen. Workload: 4-6 hrs/week for Track 1 (5 weeks – Statement of Accomplishment); 7-10 hrs/week for Track 2 (8 weeks – Statement of Accomplishment with Distinction). Students who obtain a Verified Certificate and complete Track 2 with an overall mark of more than 60% earn 3 Academic Units (AU) directed towards either an Unrestricted Elective (UE) or General Elective (GE) subject at NTU.

Optimisation Stochastique Évolutionnaire

L’objectif de ce MOOC est de découvrir comment optimiser par évolution artificielle et algorithmes génétiques parallèles des problèmes difficiles et multicritères pour obtenir de manière régulière des résultats compétitifs avec l’intelligence humaine en ingénierie et sciences appliquées.
Les algorithmes évolutionnaires (algorithmes génétiques, stratégies d’évolution, programmation génétique) sont parmi les meilleurs algorithmes actuels d’optimisation approchée. Ils sont de plus en plus utilisés dans l’industrie pour leur performance et leur capacité à trouver rapidement de bonnes solutions à des problèmes difficiles, mal posés, multi-critères et pour leur capacité à exploiter des ordinateurs parallèles, massivement parallèles et des écosystèmes de calcul potentiellement hétérogènes.