BMAT 13A01 - Math Applied to Social Sciences - Introductory level
A 12-session mathematics course with three levels (introductory, intermediate, advanced)
Taught over 12 sessions, this course aims at providing students with the mathematical foundations needed to support notions taught in the first-year introduction to economics course, and more generally, quantitative methods in social sciences. This course places emphasis on practice, with progressive exercises and case studies, so that students can gain autonomy quickly with the taught themes.
Laurent PEGLIASCO
Séminaire
English
Autumn 2021-2022
Continuous examination and in-class final exam (session 12).
Sessions 1 and 2: Basic operations
Multiplication, division, mental arithmetic, order of magnitude
Fractions, indices, rates, percentages
Development, factorization, sum and product indices
Order of magnitude, relative and absolute values, exact and approached values
The concept of variable/parameter/constant
Sessions 3, 4 and 5: Functions
Rate of increase / slope, tangent
Graphic representation, relative positions of two curves, curve displacement
Derivative of polynomial, product, quotient and composite functions, and study of variations
Sessions 6 and 7: Basic functions
Basic functions (absolute value, linear/non-linear, inverse, power, exponential, logarithm, etc.): characteristics and graphic representations
Computation of simple areas (triangle, trapezoid, etc.)
Sessions 8 and 9: Equations and inequalities
Linear equations with 1/2 variables
Inequalities
Sessions 10, 11: Constrained optimization
Second order derivative, convexity, concavity
Partial derivatives
Returns to scale, logarithmic derivative, elasticities
Constrained and unconstrained Optimization: with one variable, or multiple variables (only looking for critical points)
Session 12: Final exam
CORE-ECON (see Leibniz exercises: for example, 3.x/4.4.1/6.7.1/8.6.2/10.3.1 for partial derivatives and optimization, 3.7.1/8.4.2/9.8.1 for equations, 8.5.1 for integration, etc…)
Mathematics for Economists, Carl P. Simon, Lawrence Blume (see the PDF: http://www.repetitfind.ru/Literature/subjects/Blume-Mathematics-for-Economists.pdf)