Cours

MSE-491: Research project in materials II

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ME-314: Concurrent engineering project

L'étudiant apprend à appliquer les compétences acquises en travaillant dans une équipe responsable d'une portion d'un projet plus vaste.

MGT-589: Master project in sustainable management and technology

Research-oriented project in SMT, carried out during a 25-week-internship in industry, and upon which the student writes a master thesis. Alternatively, the PdM can be carried out during a mandatory p

QUANT-599: Master project in quantum science and engineering

Students apply the scientific and technical knowledge they have acquired during their studies to a research case study in an independent way

HUM-465: Understanding modern Switzerland II

Based on the knowledge acquired during the fall semester course (Understanding modern Switzerland I), students are asked to work by group of 3-4 students and prepare a paper on a topic previously disc

MGT-555: Innovation & entrepreneurship in engineering

This course is a joint initiative between the School of Engineering and the College of Management to encourage and promote entrepreneurship and management skills, engineering design, hands-on experien

PHYS-490: Elective project nuclear engineering

The elective project is designed to train the students in the solution of specific engineering problems related to nuclear technology. This makes use of the technical and social skills acquired during

CIVIL-482: CE project 2

The student applies acquired skills in an academic or practical project.

CH-492: Project in molecular sciences Ia

Short research project within one of our laboratories in chemistry at SCGC.

ENV-501: Material flow analysis and resource management

This course provides the basis to understand material and energy production and consumption processes. Students learn how to develop a material flow analysis and apply it to resource management cases.

COM-490: Large-scale data science for real-world data

This hands-on course teaches the tools & methods used by data scientists, from researching solutions to scaling up prototypes to Spark clusters. It exposes the students to the entire data science pipe