Teaching code

4S007120

Teacher

Marco Minozzo

Coordinatore

Marco Minozzo

Credits

3

Also offered in courses:

• Python Laboratory of the course Bachelor's degree in Business Administration (Verona)
• Python Laboratory of the course Bachelor's degree in Business Administration (Vicenza)
• Python Laboratory of the course Bachelor's degree in Economics and Business (Verona)
• Python Laboratory of the course Bachelor's degree in Economics and Business (Vicenza)
• Python Laboratory of the course Master’s degree in Business Management (Vicenza)
• Python Laboratory of the course Master’s degree in Marketing and Corporate Communication
• Python Laboratory of the course Master’s degree in Banking and Finance
• Python Laboratory of the course Master's degree in International Economics and Business Management
• Python Laboratory of the course Master’s degree in Business Administration and Corporate Law

Language

English

Scientific Disciplinary Sector (SSD)

NN - -

Period

Not yet assigned

Moodle Seminars

Learning outcomes

The course "Python Laboratory" is an optional "type f" activity, which allows to students to obtain 3 CFU, once a final examination is passed. In particular:

- The course is open to all CdL and CdLM students in economics and business administration, in particular to the students of the Master’s degree in Economics and of the Master’s degree in Banking and Finance.

- The lessons will take place in a computer laboratory (46 seats).

- Requests for participation will be considered following the registration order considering that priority will be given to CdLM students, in particular to the students of the Master’s degree in Economics and of the Master’s degree in Banking and Finance.

- Participation to the course does not require any particular background knowledge of the software Python.

- The frequency to the classes is compulsory. Students are required to attend at least 2/3 of the exercise lessons and tutorial activities in order to be admitted to the final evaluation.

The course consists of 18 hours of exercise lessons and tutorial activities (plus 2 hours of final examination).

The tentative calendar of the course is the following:

Friday 19 October 2018, hours 14:00-17:30, room LAB.SMS.8;
Friday 26 October 2018, hours 14:00-17:30, room LAB.SMS.8;
Friday 23 November 2018, hours 14:00-17:30, room LAB.SMS.8;
Friday 30 November 2018, hours 14:00-17:30, room LAB.SMS.8;
Friday 7 December 2018, hours 14:00-17:30, room LAB.SMS.8;
Friday 14 December 2018, hours 14:00-17:30, room LAB.SMS.8.

Tutor: dott. Marco Zanotti

Registrations are open from the 11th of October 2018 to the 18th of October 2018.

Please, register through the elearning platform.

Program

Python is a widely used high-level programming language for general-purpose programming. It is an interpreted language, it has a design philosophy that emphasizes code readability and it has a syntax that allows programmers to express concepts in fewer lines of code than might be used in other languages, allowing new users to learn it in a few days. Python features a dynamic type system and automatic memory management and supports multiple programming paradigms, including object-oriented, imperative, functional programming, and procedural styles. It has a large and comprehensive standard library and it can easily be integrated with other programming languages, in particular with R. Python interpreters are available for many operating systems, allowing Python code to run on a wide variety of systems.

Python has gained wide popularity mainly for its use in the management and analysis of large data sets (data science). Today, R and Python are the two most widely used programming languages among data scientists. Both of them have rapidly advanced over the past few years. For these languages there exist many libraries for collecting, handling, visualizing and analyzing large data volumes and for implementing advanced machine learning models. Python is used in many organizations like NASA, Yahoo and Google. Python is open source and free software and has a community-based development model. Other information can be found at https://www.python.it/ and https://www.python.org/

The program of the course will start with an introduction to the software Python and its main functions. Then, some of the topics encountered in mathematical and statistic courses will be considered, as for example, matrix algebra, optimization and interpolation. Arguments will be presented mainly through examples. The course aims at improving the computational and programming skills of the students and at providing instruments that might be useful for the subsequent thesis work. The activity will allow students to improve the knowledge of a programming language that is highly requested in some sectors of the job market.

Examination Methods

The final examination will consist in a written exam, with an oral examination if necessary, on the use of the software Python.