Unit COMPUTER LAB 1
- Course
- Finance and quantitative methods for economics
- Study-unit Code
- 20A00007
- Location
- PERUGIA
- Curriculum
- Finanza ed assicurazione
- Teacher
- Davide Petturiti
- Teachers
-
- Davide Petturiti
- Hours
- 21 ore - Davide Petturiti
- CFU
- 3
- Course Regulation
- Coorte 2021
- Offered
- 2022/23
- Learning activities
- Altro
- Area
- Altre conoscenze utili per l'inserimento nel mondo del lavoro
- Academic discipline
- NN
- Type of study-unit
- Obbligatorio (Required)
- Type of learning activities
- Attività formativa monodisciplinare
- Language of instruction
- English
- Contents
- 1. Introduction to Python
2. Control structures and programming
3. Functions and hints of object-oriented programming
4. Structured data types and containers
5. Access, manipulation and visualization of financial data - Reference texts
- P.J. Deitel, H. Deitel: Intro to Python for Computer Science and Data Science, Pearson, 2020.
Y. Hilpisch: Financial Theory with Python – A Gentle Introduction, O'Reilly Media, 2021.
During the course, the teacher will provide didactic material, available in the UniStudium page of the course. - Educational objectives
- At the end of the course students will possess and will be able to use the main Python programming tools, suitable to financial and actuarial applications.
- Prerequisites
- Basic knowledge of computer acquired during the Informatics course of the bachelor degree.
- Teaching methods
- The course is given in the form of practical lessons where teacher’s explanations are alternated to coding by students.
There will be exercise sessions finalized to complete small assignments and the treatment of examples of financial and actuarial applications. - Other information
- Students can ask for further explanations (individually or in small groups) during lecturer's office hours, available at the link: https://sites.google.com/site/davidepetturiti/
- Learning verification modality
- The exam consists in a practical test of programming in Python language followed by a discussion of the written code.
The registration to exam must be through the site https://unipg.esse3.cineca.it/Home.do
Teaching material and other information on the course are available in the UniStudium page of the course.
Information on facilities for special needs students are available at the link https://www.unipg.it/en/international-students/general-information/facilities-for-special-needs-students - Extended program
- 1. Introduction to Python: characteristics of the language, distributions, code development and execution
2. Control structures and programming: variables and assignment, conditional structures, while and for cycles
3. Functions and hints of object-oriented programming: definition of functions, passing parameters, hints of classes and methods
4. Structured data types and containers: strings, sequences, dictionaries, arrays (NumPy library), Series and DataFrames (pandas library)
5. Access, manipulation and visualization of financial data: files, use of csv, yfinance, SciPy and Matplotlib libraries