In case of conflicting information consider the Sisu/MyCourses pages the primary source of information.

Overview

Content:

  • Analysis: Implicit function theorem, convex/concave functions, fixed point theory, separating hyperplanes, envelope theorem
  • Optimization: Unconstrained optimization (1st+2nd order conditions), Con-strained Optimization (Lagrange Multiplies, Karush Kuhn Tucker Conditions), Berge's Maximum Theorem
  • Probability: basic concepts (moments, independence, conditional probabil-ity), law of large numbers, central limit theorem, frequentist inference

Teaching

  • Completion method: self study material includes pre-recorded lecture videos and contact teaching (live sessions will not be streamed)
  • Schedule: can be found in Sisu
  • Study materials:
    • Please familiarize yourself with the self study material before the course begins:
      • Dropbox link (in case you don’t have the password, please contact Jenni Rytkönen, jenni.rytkonen [at] aalto.fi, in the beginning of August)
    • After registering for the course study material can be found in MyCourses
      • To be able to access the course workspace you must have registered for the course successfully in Aalto’s Sisu
      • Log in with your Aalto username to be able to use all the features of the course workspace
  • Self study material to be studied before the course starts (link to be added here later)

Please register for the course in the Aalto Sisu with your Aalto username. Further instructions (link to be added here later).

University-specific instructions

    • Code: ECON-E6000

    • Target groups: PhD / rMSc / MSc

    • Credit points: 5

    • Code: 26078

    • Target groups: PhD / rMSc / MSc

    • Credit points: 5

    • Credit transfer: apply for substitution

    Further instructions (link to be added here later)

    • Code: no code

    • Target groups:

    • Credit points: 5

    • Credit transfer:

      • rMSc student: apply for inclusion (ECOM-MUUT Other studies: optional course)

      • PhD student: the course can not be included in the degree

    Further instructions (link to be added here later)

    • Target groups: PhD

    • Credit points: please check your curriculum

    • Credit transfer: please apply for credit transfer according to your home university's procedures

    Further instructions (link to be added here later).

Learning outcomes

This course is an introduction to the mathematical concepts needed to read and produce economics research. The aim is to develop the basic methodological skills required to analyze and apply economic theory and econometric techniques to the problems they will study throughout the program. The key topics covered include:

  • Analysis
  • Constrained and Unconstrained Optimization
  • Probability