KOUT 2040 - QUANTITATIVE TOOLS : LEVEL 1

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. This is not a deeper level 1, but a wider scope of knowledge. Incidentally, this module allows to specify some technical tools of Excel. The total class contact hours is 24 hours however, the course provides an optional tutorials in order to provide students with extra help. Hence, the course hours totaled up to 42 hours as indicated in the syllabus
Michel RUIMY,Sébastien RICARD,Nathalie LEONARDI
Séminaire
English
Autumn and Spring 2020-2021
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.
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.
F. K. REILLY, K.C. BROWN, Investment analysis and Portfolio Management, Thomson South Western, 2006
Timothy C. URBAN, Statistics in plain english, 3° ed, Routledge edition, 2010 (book noted C)
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
P. BONNEAU, Mathématiques Financières, Dunod, 1986
G. FERREOL, D. SCHLACTHER, Dictionnaire des Techniques Quantitatives appliquées aux sciences économiques et sociales, A. Colin, coll. U, 1995
D. SCHLACTHER, Calcul financier, Hachette, coll. PES, 1989