Course 2023-2024 a.y.

30590 - ADVANCED PYTHON PROGRAMMING FOR ECONOMICS, MANAGEMENT AND FINANCE

Department of Computing Sciences

Course taught in English
Go to class group/s: 31
CLEAM (6 credits - I sem. - OP  |  INF/01) - CLEF (6 credits - I sem. - OP  |  INF/01) - CLEACC (6 credits - I sem. - OP  |  INF/01) - BESS-CLES (6 credits - I sem. - OP  |  INF/01) - WBB (6 credits - I sem. - OP  |  INF/01) - BIEF (6 credits - I sem. - OP  |  INF/01) - BIEM (6 credits - I sem. - OP  |  INF/01) - BIG (6 credits - I sem. - OP  |  INF/01)
Course Director:
FABRIZIO IOZZI

Classes: 31 (I sem.)
Instructors:
Class 31: FABRIZIO IOZZI


Suggested background knowledge

This is an advanced course in python computer programming. Students attending the course are recommended to have already taken an introductory course on python programming. If they already had a course about programming in another language (e.g. Java, C, etc.) that's fine. Some references will be provided for a quick introduction to the python syntax.

Mission & Content Summary

MISSION

The primary goal of this course is to give students an advanced understanding to the python programming language and its main features through various applications in many fields.

CONTENT SUMMARY

  • Input/Output in Python
  • Classes
  • Databases Management with Python
  • Computer Simulations
  • Agent Based Modeling

Intended Learning Outcomes (ILO)

KNOWLEDGE AND UNDERSTANDING

At the end of the course student will be able to...
  • Define procedural and object oriented programming language concepts.
  • Describe and explain the working of the programs presented in the course.
  • Recognise the relationship between a problem description and program design.
  • Decompose problems into simpler problems.

APPLYING KNOWLEDGE AND UNDERSTANDING

At the end of the course student will be able to...
  • Use procedural and object oriented programming language concepts in real programs.
  • Combine programming techniques to solve problems of varying degrees of difficulty in applied fields
  • Find and understand programming language documentation to learn new information needed to solve programming problems.
  • Implement problem solving strategies.

Teaching methods

  • Face-to-face lectures
  • Exercises (exercises, database, software etc.)
  • Case studies /Incidents (traditional, online)
  • Individual assignments
  • Group assignments

DETAILS

  • Programming exercises are assigned to have students practice the language.
  • Some case studies are analyzed through in class discussion.
  • Individual assignments consist of readings and programming exercises, through possibly an external platform.

Assessment methods

  Continuous assessment Partial exams General exam
  • Individual assignment (report, exercise, presentation, project work etc.)
 x    
  • Group assignment (report, exercise, presentation, project work etc.)
     x

ATTENDING AND NOT ATTENDING STUDENTS

Individual assignments and the Group assignment both count for 50% of the final grade. 


Teaching materials


ATTENDING AND NOT ATTENDING STUDENTS

Online textbooks and references are given through the Bboard platform.

Last change 04/05/2023 18:11