20603 - OPTIMIZATION
Department of Decision Sciences
Course taught in English
Go to class group/s: 31
Course Director:
FILIPPO GAZZOLA
FILIPPO GAZZOLA
Prerequisites
Prerequisites: To feel comfortable in this course you should have attended at least one calculus class covering the basic concepts of function, derivative, integral as well as having a working knowledge of linear algebra (i.e. vectors/matrices).
Mission & Content Summary
MISSION
Mathematics is the language in which most of modern economics is written. The course aims to provide the basic mathematical tools that students need to complete their Economics studies. Moreover, the course develops the analytical thinking skills that students need later on in their academic career.
CONTENT SUMMARY
- Metric Spaces.
- Normed Vector Spaces.
- Abstract Equations.
- Contractions and Fixed Points.
- Calculus in Vector Spaces.
- Convex Analysis.
- Dynamic Programming.
Intended Learning Outcomes (ILO)
KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...
- Carry out a formal mathematical proof.
- Recognize the abstract mathematical structures that underlie modern economic theories.
- Master vector spaces techniques.
- Solve complex dynamic optimization problems.
APPLYING KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...
- Apply to economics and to the social sciences the techniques of contemporary mathematics.
- Work out both the quantitative and the qualitative perspectives.
- Solve dynamic optimization problems which are key in Economic Theory.
- Master topological arguments which are important in Game Theory and Microeconomics.
Teaching methods
- Face-to-face lectures
- Exercises (exercises, database, software etc.)
DETAILS
Every one/two weeks there are a problem session where mathematical problems concerning the topics taught in class are discussed and solved.
Assessment methods
Continuous assessment | Partial exams | General exam | |
---|---|---|---|
|
x | x |
ATTENDING AND NOT ATTENDING STUDENTS
Written exam.
Teaching materials
ATTENDING AND NOT ATTENDING STUDENTS
Lecture notes.
Last change 03/07/2018 12:30