Inhalt

[ 977PADTPYTU21 ] UE Python Programming for Economic and Business Analytics

Versionsauswahl
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Business Administration Cristina Olaverri Monreal 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)Kenntnisse ├╝ber Windows/Mac/Linux und Anwendungsprogramme sowie die Organisation von Ordnern und Dateien werden erwartet. Knowledge of Windows/Mac/Linux and application programs, as well as the organization of folders and files is expected.
Original study plan Master's programme Economic and Business Analytics 2021W
Objectives The students have knowledge of methods of programming in Python and are familiar with modern and an appropriate programming environment. They have an elementary knowledge of the development of algorithms and essential data and control structures. They are able to solve problems using Python. They are also familiar with basic concepts of procedural and object-oriented programming paradigms.
Subject
  • Basic programming concepts
  • Use of the programming environment
  • Python Syntax
  • Data structures: types, variables, operators, strings, lists, dictionaries
  • Control structures: case differentiation, loops
  • Standard-input/output, functions, exception handling
  • Access to the file system
  • Essential libraries for data analysis
  • Additional concepts: Classes
Criteria for evaluation Positive grading from the exercises and exam
Methods Exercises, practical part
Language English
Study material Python Crash Course, No Starch Press by Eric Matthes https://ehmatthes.github.io/pcc/ https://courses.edx.org/courses/course-v1:MichiganX+py4e101x+3T2019/course/

Python Documentation https://docs.python.org/3/library/

Changing subject? No
Further information Attendance is mandatory Introduction to Software Development in Python consists on the practical exercises and the theoretical part. They are assessed together.
On-site course
Maximum number of participants 30
Assignment procedure Assignment according to priority