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Computer ScienceCAS
Eidgenossische Technische Hochschule Zürich, ETHZ Eidgenossische Technische Hochschule Zürich, ETHZ Zürich
Certificates of Advanced Studies CAS programmes aim to give greater depth or interdisciplinary breadth to an original academic qualification. They are aimed at university graduates who are working and wish to enhance their professional skills or specialise in a particular subject. They correspond to at least 10 ECTS credits and 150 contact hours ...
Computer Science - Campus CAS
Eidgenossische Technische Hochschule Zürich, ETHZ Eidgenossische Technische Hochschule Zürich, ETHZ Zürich
Certificates of Advanced Studies CAS programmes aim to give greater depth or interdisciplinary breadth to an original academic qualification. They are aimed at university graduates who are working and wish to enhance their professional skills or specialise in a particular subject. They correspond to at least 10 ECTS credits and 150 contact hours ...
Computer Science - Campus DAS
Eidgenossische Technische Hochschule Zürich, ETHZ Eidgenossische Technische Hochschule Zürich, ETHZ Zürich
Diploma of Advanced Studies DAS programmes aim to give greater depth or interdisciplinary breadth to an original academic qualification. They are aimed at university graduates who are working and wish to enhance their professional skills or specialise in a particular subject. They correspond to at least 30 ECTS credits and generally involve ...
Computer Science - Campus Course
Eidgenossische Technische Hochschule Zürich, ETHZ Eidgenossische Technische Hochschule Zürich, ETHZ Zürich
Diploma of Advanced Studies DAS programmes aim to give greater depth or interdisciplinary breadth to an original academic qualification. They are aimed at university graduates who are working and wish to enhance their professional skills or specialise in a particular subject. They correspond to at least 30 ECTS credits and generally involve ...
Computer Science
University of Geneva University of Geneva Geneva
1. Langage Python: histoire et philosophie 2. Concepts de base: types, structures de contrôle et fonctions 3. Structures de données de base: listes et dictionnaires 4. Introduction à la programmation orientée objet 5. Outils et installation de librairies 6. Librairies pour la science des données: pandas, numpy Jean-Luc FALCONE, Université ...