Algorithmic programming for operations management

• variables and types
• operators and expressions
• conditional statements, loops and functions
• Object Oriented concepts
• Data structures
• Data preparation and reporting
• Integration with tools and libraries

After successfully completing this course, the student:

• understands the following programming constructs:

o variables and types,
o operators and expressions,
o conditional statements,
o loops,
o functions,
o data structures;
o object oriented concepts
o data frames

• can apply these constructs, to create algorithms that solve practical operations management problems, such as: loading data from a file system and from the web, preparing data for further processing (filtering and transforming data elements), writing results to a report;
• can programmatically integrate existing tools and libraries for solving practical operations management problems, such as: configuring and invoking a data analysis library and interacting with a simulation program;
• can demonstrate by means of an automated test suite to which degree algorithmic correctness has been verified.

You must meet the following requirements

• Registered for a degree programme other than
• HBO-TOP Applied Physics, Pre-Master
• Completed none of the course modules listed below
• Principles of design and programming (4CA10)
• Programming for PT (0HV120)
• Fundamentals of algorithmic pro for OMgt (1BK60)
• Fundamentals of algorithmic pro for OMgt (1BV30)
• Programming (2IP90)
• Programming Methods (2IPC0)
• Introduction to objectprogramming (2IPG0)
• App Programming (2IS60)
• Programming and modelling (2WH20)
• Programming and genomics (8CA10)
• Programming for data analytics (8BA080)
• Programming and Linear Algebra (6BBR06)

• Charles R. Severance, Python for Everybody: Exploring Data Using Python 3, 2009. Accessible from: https://www.py4e.com/book.php