Concept
Integration testing
Related courses (32)
BIO-210: Applied software engineering for life sciences
We learn and apply software engineering principles to program projects in Python. Projects cover problems in life sciences, and will be developed over the course of the semester.
CS-311: The software enterprise - from ideas to products
This course teaches the journey taken by software engineering teams from incipient ideas to software products that solve real problems for real people.
COM-112(a): Project oriented programming
Ce cours complète les connaissances sur le langage C++, en particulier sur le développement d'application modulaire
robuste (principe de séparation des fonctionnalités). La dimension pratique étant ju
MATH-413: Statistics for data science
Statistics lies at the foundation of data science, providing a unifying theoretical and methodological backbone for the diverse tasks enountered in this emerging field. This course rigorously develops
EE-530: Test of VLSI systems
Test of VLSI Systems covers theoretical knowledge related to the major algorithms used in VLSI test, and design for test techniques. Basic knowledge related to computer-aided design for test technique
MICRO-371: Software architecture
Ce cours couvre des sujets liés à l'architecture software moderne et industrielle : la gestion agile de projets, la spécification des besoins, le développement d'applications critiques, la programmat
MATH-234(d): Probability and statistics
Ce cours enseigne les notions élémentaires de la théorie de probabilité et de la statistique, tels que l'inférence, les tests et la régression.
MATH-234(b): Probability and statistics
Ce cours enseigne les notions élémentaires de la théorie de probabilité et de la statistique, tels que l'inférence, les tests et la régression.
MICRO-406: Products design & systems engineering
This course will cover all the aspects of product design and system engineering from learning relevant methods to the actual implementation in a hands-on practice of product development.
NX-450: Computational neurosciences: biophysics
The course introduces students to a synthesis of modern neuroscience and state-of-the-art data management, modelling and computing technologies with a focus on the biophysical level.