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Teaching with Jupyter Notebooks
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Related lectures (31)
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Data Science: Python for Engineers - Part II
Explores data wrangling, numerical data handling, and scientific visualization using Python for engineers.
Nano-Tera: Engineering the Future
Explores engineering multi-scale systems for various sectors and showcases advancements in electronics design.
Systems for Health, Security, Energy and the Environment
Covers the Swiss Research Program on Engineering Multi-Scale Systems for Health, Security, Energy, and the Environment.
Energy Systems Optimization
Introduces a course on modeling and optimizing energy systems, emphasizing the importance of informed decision-making and teamwork in addressing energy challenges.
Engineering Multi-Scale Systems: Nano-Tera 2016
Explores engineering multi-scale systems for health, security, energy, and the environment, focusing on innovations from labs to daily life.
Engineering Multi-Scale Systems: Nano-Tera
Discusses engineering multi-scale systems for health, security, energy, and the environment, showcasing innovation from labs to daily life.
Engineering Multi-Scale Systems
Introduces the Swiss Research Program focused on engineering multi-scale systems for health, security, energy, and the environment.
Hydropower Innovations: Water Turbines and Pump-Turbines
Covers the importance of water turbines and pump-turbines in advancing hydropower technology and sustainability.
Visual Extensions in the Workplace
Explores the use of visual extensions, such as virtual reality and augmented reality, in enhancing workplace efficiency and communication.
Scopes and Lambdas: Data Science with Python
Covers scopes, lambdas, and pandas in data science with Python, including nested declarations, scoping, assignments, and pandas manipulation.
