Advanced Quantitative Methods (QUANT-ADV)

(mars 2022)

Responsable Monsieur le professeur Qu Xiangyu

Instructor: Xiangyu QU
Contact Information: xiangyu.qu@u-paris2.fr
Recommendation: All the students are encouraged to bring their own computers in class.
Pre-installed software:
1. https://www.python.org/downloads/, Download the latest version for your computer.
2. https://www.anaconda.com/products/individual, Download Individual Edition of Anaconda.
Course Outline:
Class 1 Introduction and Types of Data
Class 2 Structure and Operators
Class 3 Conditions and Loops
Class 4 Functions and Visualization
Class 5 Introduction to Numpy
Grade Policy: attendance, homework and nal exam.
Course Objectives: The purpose of this course is to introduce the Python programming language
and make you be able to use it eciently and independently. You are strongly encouraged to execute
all the examples I give in the classes. Some exercises are required to better assimilate the concepts
covered in the classes.
Homework: in-class homeworks.
Final Exam: 1-2 hours in the last class.