Accueil > Quantitative tools : level 1

KOUT 2040 - QUANTITATIVE TOOLS : LEVEL 1

Type d'enseignement : Seminar

Semester : Autumn 2017-2018

Number of hours : 42

Language of tuition : English

Pre-requisite

Students who already master the following program, given they have covered similar content during higher education previously, should register for Quantitative Tools Level 2 (see program).

Course Description

The teaching Quantitative Tools – level 1 of political, economic and social sciences, focuses on instruments of quantitative analysis in the context of the problems these tools allow to analyze and solve. The objective of this module is to provide the essential basics of applied arithmetic, financial calculus, descriptive statistics, and basics for inductive statistics. This teaching focuses on facilitating the understanding of the technical tools of reading, analyzing and decision-making and, to some extent, their mastery in a concrete setting. The idea is to accompany the student in his understanding of the main quantified problems, encountered in political science, economics, demography, international trade, finance and more generally to support the major axes of the master's degree, , in particular all the aspects concerning quantitative analysis of international relations. The teaching is highly progressive starting from a minimum set of basis corresponding to the technical content of secondary school literary programs or more generally the end of high school. Teaching « Quantitative Tools - level 1 » is followed by « Quantitative Tools - level 2 ». This is not a deeper level 1, but a wider scope of knowledge. « Quantitative Tools - level 2 » requires knowledge of « Quantitative Tools - level 1 » and approaches the instruments in other settings. Incidentally, this module allows to specify some technical tools of Excel. Teaching Languages : French or English.

Teachers

  • DUSSAU, Emilie (Conseiller Fiscal)
  • RICARD, Sébastien (Chargé de mission)
  • RUIMY, Michel (Economist, statistician -Banque de France)
  • TENNE, Adrien (Administrateur INSEE, Chargé de participations au sein de l'Agence des participations de l'Etat, Ministère de l'Economie et des Finances)

Pedagogical format

The form adopted for this teaching is « course – seminar » featuring one part with lectures on the basic principles and theories and some practical tutorials. The limited number of students should guarantee a high level of student-teacher interactivity. We strongly insist on the practical aspects of the discipline.

Course validation

The module is validated by continuous assessment (2 in-conference assessments of one hour each) and a final 3-hour assessment, common to all groups in French and English, including several different exercises. The final assessment may include the use of a simple Excel spreadsheet. Continuous assessment accounts for 2/3 and the final exam for 1/3 of the final mark. For final exam all calculators allowed ; computers with autonomous power supply allowed.

Required reading

  • Timothy C. URBAN, Statistics in plain english, 3° ed, Routledge edition, 2010 (book noted C)
  • G. KELLER, B. WARRACK, Statistics for management and economics, Thomson, Brooks/Cole, Pacific Grove, 2003
  • F. K. REILLY, K.C. BROWN, Investment analysis and Portfolio Management, Thomson South Western, 2006
  • D. SCHLACTHER, Comprendre les mathématiques financières, Hachette, coll. Les Fondamentaux, 4° ed. 2012 (book noted A in the programme)
  • D. SCHLACTHER, De l'analyse à la prévision, Hachette, coll. Les Fondamentaux, 5° ed. 2009 (book noted B in the programme) - 3 volumes

Additional required reading

  • G. FERREOL, D. SCHLACTHER, Dictionnaire des Techniques Quantitatives appliquées aux sciences économiques et sociales, A. Colin, coll. U, 1995
  • P. BONNEAU, Mathématiques Financières, Dunod, 1986
  • D. SCHLACTHER, Calcul financier, Hachette, coll. PES, 1989
  • D. SCHLACTHER, Comprendre la formulation mathématique en économie, Hachette, Coll. Les Fondamentaux, 4° ed. 2004