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- Code:
- ECON-E6000
- Targets:
- Research Master's students PhD students
- Organiser:
- Aalto University
- Instructor:
- Daniel Hauser
- Period:
- August 2023
- Format:
- Lecture
- Method:
- Hybrid
- Venue:
- Economicum building, seminar room 1
- Enrollment:
In case of conflicting information consider the Sisu/MyCourses pages the primary source of information.
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 is focusing primarily on problem solving (in-class sessions will not be streamed)
- Schedule: can be found in Sisu
- Study materials:
- Can be found in MyCourses (no login required or use HAKA-login)
- To use all the features and participate in the activities (assignments, discussions), you must have successfully registered for the course in Aalto's Sisu and logged in as an Aalto user with your Aalto IT account (which is generated after you have been granted study rights).
- You are responsible for watching each set of videos before the corresponding session ofthe course.
Please register for the course in the Aalto Sisu with your Aalto username. Further instructions can be found here.
University-specific instructions
Aalto University Students
- Code: ECON-E6000
- Target groups: PhD / rMSc
- Credit points: 5
Hanken Students
- Code: 26078
- Target groups: PhD / rMSc
- Credit points: 5
- Credit transfer: apply for substitution
University of Helsinki Students
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
FDPE Students Students
Target groups: PhD
Credit points: please check your curriculum
Credit transfer: please apply for credit transfer according to your home university's procedures
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