For students:

Math Camp 2024 (3 cr)

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Code:
ECON-E6000
Targets:
Research Master's students PhD students
Organiser:
Aalto University
Instructor:
Hung Le and Mikael Mäkimattila
Period:
August 2024
Format:
Lecture
Method:
Hybrid
Venue:
Economicum building, seminar room 3-4
Enrollment:
How to enroll?

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

Hanken and UH economics students can enroll in their home university’s SISU! Further instructions can be found on the How to enroll page, also for other students.

Before taking and completing the course make sure that the credits can be counted towards your degree at your home university by checking which courses are included in your curriculum or by contacting your home university’s student/learning services.

  • To access the course workspace, use all the features and participate in the activities (assignments, discussions), you must have successfully registered for the course in Sisu and logged in with your Aalto user ID.
  • For more information on how to activate your Aalto user ID and register for a MyCourses course area, click here.

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

  • Schedule: in Sisu
  • This course will be structured as follows.
    • There are 5 series of videos on MyCourses covering the material.
    • The class times will focus primarily on problem solving. We’ll spend the in-class time each day working through problems related to the video content. You are responsible for watching each set of videos before the corresponding session of the course.
    • The in-class sessions are focused on problem sets. Students are expected to actively work on problems, and engage in discussion of how to solve problems.
    • There is no virtual alternative to these in-class sessions. However, you can get points from exercises as long as you submit your answers to MyCourses on time).
    • Grading: pass/fail
      • 50% of total points to pass
      • max. 30% from problem sets, 70% from midterm and final exam
      • exams are in-class

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