Aix-Marseille University

France

Available Courses

(Applicants must choose courses from maximum of 2 tracks only)

Licence 2 IPEM - 2nd Year Track

Programme (24 hours of lectures, 12 hours of classes)
1. Fundamentals of probability: density, moments, examples of important distributions
2. Estimation and inference: sampling, point estimation, interval estimation, hypothesis testing
3. Simple linear regression: specification issues, ordinary least squares, Gauss-Markov theorem, hypothesis testing, examples.
4. Multiple regression: linear model in matrix form, properties of ordinary least squares, hypothesis testing, instrumental variables, examples.

Licence 3 MIASHS - 3rd Year Track

This course proposes an introduction to data science. The course is made up of two parts. The first part is devoted to a presentation of the origin of data science and its challenges in economics. The second part is devoted to an introduction to Python for data science. 
 
Course outline:
I. Data science origins and challenges in economics (20h of lecture)
1. The emergence of “big data” 
a. What are “big data” ?
b. Where do they come from ?
c. “big data” vs “new data”
 
2. Big data tools 
a. How to store large amount of data ?
b. How to make computations on big data ?
c. How to store different types of data together?
 
3. Data analysis: an introduction to econometrics, machine learning and deep learning
a. Econometrics
b. Machine learning
c. Deep learning
 
4.Handling “fat data”
a. Curse of dimensionality
b. Subset selection
c. Penalised regression
d. Dimension reduction
 
5. Advantages and limits of machine learning techniques
a. Advantages
b. Limits
 
6. Pros and cons of “big data”
a. Pros
b. Cons
 
7. Remaining challenges
 
II. An introduction to Python for data science (10h of tutorials)
1. Basics of Python
2. Manipulate databases (with pandas and numpy)

Introduction to information economics: Bayesian Nash equilibrium, Perfect Bayesian Equilibrium
Adverse selection: the market for lemons, price discrimination
Moral hazard: insurance markets, the principal agent problem

Licence 3 IPEM - 3rd Year Track

The focus of this course is to learn how applying tools developed in Microeconomic analyses to business related decisions can lead to better business decisions.
The lecture as well as course materials will be in English.
Courses outline:
1. Basic concepts
– Economic view of behaviour
– Markets
2. Theory of the firm
– Market structures
– Pricing with market power
3. Corporate strategy : understanding
– Creating and capturing value
– Game theory (interaction between firm and market environment)
4. Making organizational decisions : incentives and contracts

The objective of this course is to integrate the academic study of international trade and foreign direct investment with the actual strategic and operational decisions of exporters and multinational enterprises. This course marries then managerial decision making in the internationally oriented firm with the conceptual tools provided by international economics.

In today’s market, almost any product can be transformed into a commodity as competitors copy successful products. Building and effectively maintaining efficient international marketing strategies are among the top priorities of high performing companies. This course explores the development of international marketing programs from the determination of objectives and methods of organization through the execution of a product or service, its positioning statement, advertising, distribution, and price policies. This course, will help students understand how to create value, to build and manage strong brands, products or services in a digital and international era.
COURSE OBJECTIVES:
➢ To be familiar with the main tools used in the International marketing strategies and functions.
➢ To demonstrate knowledge in Brand positioning statements and Marketing Mix tools.
➢ To examine the international similarities and differences in marketing functions as related to the cultural, economic, political, social, and physical dimensions of the environment. U website

The need for European competition rules was recognized by the framers of the EC treaty. EC competition law goals are twofold: the promotion of integration between the Member states and the promotion of effective competition. The course will focus on the latest goal, which might be termed “the economic goal”. Main provisions of EC law (and policy) are contained in the articles 101 and 102 of the treaty on the functioning of European Union (TFEU) and in the Merger regulation. They aim at regulating firms’ behaviour in order to promote competition considering that competition improves economic welfare. The European competition law development shows a “more and more economic approach” which had an impact on the application of competition law at the European level. The main consequence that has arisen from making economic reasoning more explicit in the decision- making process has been to promote competition by protecting the competition process rather than protecting competitors. A given business practice that makes more difficult for one firm’s rivals to compete does not therefore imply that the competitive process is being harmed. Thus, in spite of the existence of competition rules, each case is different since business conducts under investigation give rise to different effect depending on the market conditions. The course will thus focus on the economic analysis of firms’ behavior alleged to be anti-competitive conduct in order to explain European making decision process in competition cases.
The course is divided in 2 parts: the first introduces the objectives of competition law and the main concepts required to understand those objectives (3 sessions), and the second part covers the main applications of competition law: coordinated practices (Art. 101), unilateral practices (Art.102, Abuse of dominant position), and regulation of mergers that are or could be detrimental to competition.

This course provides an in-depth coverage of selected topics in microeconomics. An emphasis will be given to rigorous mathematical treatment of these issues. The necessary mathematical tools will be reviewed accordingly.
The following topics will be covered:
– Review: mathematical tools for constrained optimization
– Advanced demand theory
– Information economics: moral hazard and adverse selection

Learning outcomes
Upon completion of the course, students should be able to perform the following tasks:
– Solve constrained optimization problems.
– Use mathematical tools to solve selected problems in consumer theory and information economics.
– Recognize whether a problem features incomplete information and classify it within a typology of information economics problems.

Programme (24 hours of lectures, 12 hours of classes)
1. Fundamentals of probability: density, moments, examples of important distributions
2. Estimation and inference: sampling, point estimation, interval estimation, hypothesis testing
3. Simple linear regression: specification issues, ordinary least squares, Gauss-Markov theorem, hypothesis testing, examples.
4. Multiple regression: linear model in matrix form, properties of ordinary least squares, hypothesis testing, instrumental variables, examples.