Écoles, masters et doctorats / Schools, Masters and Doctorates / Enseignements / Teachings
Prerequisite : There are no speciﬁc requirements but participants need to have an interest for a technical and business approach. A basic knowledge of Accounting (what is a balance Sheet, a Proﬁt & Loss account, how to calculate a taxable income ), Proﬁtability analysis (Cash-Flow Table, Net Present Value and Internal Rate of Return) and Strategy (PESTEL-STEEP analysis, SWOT matrix) is a plus. Pedagogical Format : Seminar Course validation : Short papers and reports ; quizzes & case-studies ; short presentations. Course Description : This course gives an overview of the Oil & Gas Upstream Industry (from exploration to abandonment for oil, from exploration to transport for gas) and provides information and knowledge on the techniques, players, strategy and understanding of key concepts like resources and reserves. A focus will be placed on the different taxation systems, contractual contexts and as a consequence how the rent and proﬁts are shared between the various stakeholders. Moreover, different types of valuation of the products, mainly natural gas, will be analyzed. Besides, the key issues and trends of this industry will be addressed along the different lectures. Objective of the course : To get an understanding of the Oil & Gas Upstream Business ; Become familiar with upstream terminology, units, magnitudes of key numbers ; Be aware of the key issues of this business ; Gain an understanding of the role of the different stakeholders and their relations ; Be able to deﬁne the Upstream oil & gas life cycle from exploration to abandonment ; Get a knowledge of the different categories of oil & gas ﬁelds with their economics ; Understand the different types of contract ; Be able to critically interpret the results of a proﬁtability analysis of a development project ; Understand the critical business decisions taken in this industry ; Be able to understand the main characteristics of a longdistance transport system ; Become familiar with various types of monetization of natural gas. To learn tools applicable to any industry. To practice a systemic/critical thinking approach ; To develop a teamwork attitude. Required reading : to be deﬁned.
OPEN DATA FOR URBAN RESEARCH
Semester : Autumn Number of hours : 12 Language of tuition : English
Teachers : François BRIATTE (PhD Candidate - University of Grenoble), Samuel GOETA (Phd Student, Télécom ParisTech), Joel GOMBIN (PhD Candidate in political science, Université de Picardie Jules Verne). Prerequisite : None Pedagogical Format : Elective Course Description : This workshop offers a critical analysis of how urban-level data are produced, interpreted, and, increasingly,released to the public. It was designed speciﬁcally for this Masters, alongside the “Advanced Quantitative Methods” course, which enables students to build on their existing statistical training by mixing qualitative and quantitative insights.Students will learn to assess the quality of existing open data resources, critically discuss their political implications, and produce their own catalogue of real-world public datasets.In order to have a better understanding of the pitfalls of any open data project, we will follow the School of Data pipeline in this class which will allow us to review all the necessary steps in any open data project. Required reading : Harlan Yu and David G. Robinson, "The New Ambiguity of ‘Open Government'" ; David Ribes and Steven J. Jackson, "Data Bite Man : The Work of Sustaining a LongTerm" ; Garrett Grolemund and Hadley Wickham, "Tidy Data" (in R for Data Science , 2017) https :// blog.okfn.org/2017/05/31/open-data-quality-thenext-shift-in-open-data/ ; Wendy N. Espeland and Mitchell L. Stevens, "A Sociology of Quantiﬁcation" ; Kieran Healy and James Moody, "Data Visualization in Sociology".
OPEN INNOVATION : LA RÉVOLUTION DIGITALE À VENIR
Semestre : Automne Nombre d'heures : 24 Langue d'enseignement : français