The objective of the course is to provide participants with accounting mechanisms for understanding and anaalyzing the financial statements of a company. ...
This course examines energy systems from various angles: available resources, how they can be combined or substituted, their private and social costs, whether they can meet the energy demand, and how the transition to a renewable energy system can be foste ...
Centré sur les formes d'habitat des plus pauvres dans les pays du Sud et du Nord et les contextes de crises, en particulier les architectures d'urgence, le cours propose une analyse critique de l'urbanisation du monde au 21ème siècle. ...
The aim of this course is to expose EPFL bachelor students to some of the main areas in financial economics. The course will be organized around six themes. Students will obtain both practical insights through real-world examples and understand how one can ...
This course gives an introduction to the modeling of interest rates and credit risk. Such models are used for the valuation of interest rate securities with and without credit risk, the management and hedging of bond portfolios and the valuation and usage ...
Introduction to economic analysis applied to environmental issues: all the necessary basic concepts, including cost-benefit analysis, for environmental policy making and its instruments (examples: climate, waste, mobility). Introduction to financial calcul ...
The aim of this course is to develop research capabilities in empirical corporate finance, introduce methodologies to conduct empirical research in corporate finance, develop research ideas for term papers and dissertation topics. ...
Climate entrepreneurship is at the core of developing sustainable economy. The students learn climate aspects and practical view of launching a sustainable venture by developing a business plan covering market analysis, business model, go to market strateg ...
This course is introduces machine learning techniques for financial applications in algorithmic trading, derivatives pricing, model calibration, hedging, and risk management. The course format is hands on coding sessions in Python (Keras, Tensorflow, and S ...