The aims of this course are:
(i) to learn general professional skills and tools that allow you to bridge theory and practice
(ii) To make you familiar with the use of open source software
(iii) Career orientation
This course exposes you to what economists do in professional economic analysis, consultancy, and policy advice. Through hands-on assignments, you will find out how to combine theory and data to find workable solutions to economic problems.
After completing the "Canon track", you know how to select theories and evidence from the whole field of economics to perform economic analysis and how to communicate the outcomes of economic analysis to economists and non-economists.
After completing the "Python track" of this course, you know how to find open source solutions for problems that you may need to solve for your thesis or in your future job; you are able to work economicmodels using the python programming language and you can report the results on the web; you can create a homepage on Github with a link to the project that you do for this course. You can collaborate with others on the web, e.g. by using Github. You give presentations using html.
After completing the "Career classes" you know how to start your career planning.
Type of instructions
Interactive lectures with small team assignments in class and several homework assignments.
All students do the "career classes" which aim at career orientation.
Your final grade is determined by assignments, some of which can be done in a group.
Each student chooses between "canon track" (aimed at learning how to communicate economics) and the "python track" (aimed at learning open source software and programming skills).
Type of exams