Info
Logo Bocconi

Course 2018-2019 a.y.

30517 - PYTHON PROGRAMMING FOR ECONOMICS, MANAGEMENT AND FINANCE

Department of Decision Sciences

Course taught in English


Go to class group/s: 31

CLEAM (6 credits - II sem. - OP  |  INF/01) - CLEF (6 credits - II sem. - OP  |  INF/01) - CLEACC (6 credits - II sem. - OP  |  INF/01) - BESS-CLES (6 credits - II sem. - OP  |  INF/01) - WBB (6 credits - II sem. - OP  |  INF/01) - BIEF (6 credits - II sem. - OP  |  INF/01) - BIEM (6 credits - II sem. - OP  |  INF/01) - BIG (6 credits - II sem. - OP  |  INF/01)
Course Director:
FABRIZIO IOZZI

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


Prerequisites

Students attending the course are recommended to have already taken an introductory course on programming, whatever the language used.


Mission & Content Summary
MISSION

The primary goal of this course is to give students a basic introduction to object-oriented and procedural programming, using Python. Most models and examples are taken from Economics, Management and Finance.

CONTENT SUMMARY
  • Primitive types and class types.
  • Functions (procedures, and fruitful functions), including recursion.
  • Basic statements: assignment, if-statements, loops, blocks, function calls.
  • Objects and classes, including subclasses, inheritance, and overriding.
  • Sequences and dictionaries.
  • Testing and debugging.
  • Program development; stepwise refinement (top-down design) and object-oriented design.
  • Basic searching and sorting algorithms.
  • A model of execution.
  • Programming style considerations.

Intended Learning Outcomes (ILO)
KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...
  • Define procedural programming language concepts (including expressions, decision statements, simple data types, Boolean logic, input/output, loop constructs, and procedures).
  • Describe and explain the working of the algorithms presented in the course.
  • Explain the workflow of a computer program in general and with respect to the Python programming language.
  • Recognise the relationship between a problem description and program design.
  • Decompose problems into simpler problems.
  • Recognise the limitations of algorithms.
APPLYING KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...
  • Use procedural programming language concepts including expressions, decision statements, simple data types, Boolean logic, input/output, loop constructs, and procedures.
  • Combine programming techniques to solve problems of varying degrees of difficulty in the fields of Economic, Management and Finance.
  • Refine computer programs through testing and debugging to ensure proper operation.
  • Find and understand programming language documentation to learn new information needed to solve programming problems.
  • Implement problem solving strategies.
  • Demonstrate how basic data structures (list, graphs, trees, sets, tables) function.
  • Investigate different strategies for algorithm development and evaluate these to select an appropriate solution to a given problem.
  • Determine the complexity of simple algorithms.

Teaching methods
  • Face-to-face lectures
  • Exercises (exercises, database, software etc.)
  • Case studies /Incidents (traditional, online)
  • Individual assignments
  • Group assignments
DETAILS
  • Simple and less simple programming exercises are assigned to have students practice the language.
  • Some case studies are analyzed through discussion in class.
  • Individual assignments consist of readings, exercises, and multiple choice questions.
  • Group assignments consist of programming task to be performed in a given time frame.

Assessment methods
  Continuous assessment Partial exams General exam
  • Written individual exam (traditional/online)
  •     x
  • Individual assignment (report, exercise, presentation, project work etc.)
  •     x
  • Group assignment (report, exercise, presentation, project work etc.)
  •     x
    ATTENDING STUDENTS

    Assessment for attending students uses all three methods with one written test about the programming language and a number of individual and group assignments during the course.

    NOT ATTENDING STUDENTS

    Assessment for not attending students are based only on a written exam and a programming project to be discussed with the instructor.


    Teaching materials
    ATTENDING AND NOT ATTENDING STUDENTS

    Online textbooks and references are given through the Bboard platform.

    Last change 04/06/2018 10:17