Instructor: Dimitrios Emiris, Alexandros Bousdekis
Course Code: ΤΕΟΔΕ13
Semester: 8th elective (Spring)
Requirements: –
Language of Teaching: Greek
European Credit Transfer and Accumulation System (ECTS): 5,5
OBJECTIVE
The aim of the course is to familiarize students with the implementation and use of basic computational methods and tools for industrial management. The course focuses on descriptive, predictive, and prescriptive analytics methods with the use of machine learning algorithms and on their integration for solving modern industrial problems. Specific focus is given on the implementation of such methods with the use of the Python programming language. Python offers a plethora of libraries that can be used to build such computational tools for solving real-life scenarios. In the context of this course, students will become familiar with basic use of Python, as well as with libraries for data analytics that can be combined to solve complex problems.
Upon successful completion of the course, the students will be able to:
- analyze an industrial case study and choose the appropriate computational tools and methods;
- design a computational method which combines various machine learning algorithms for data analytics;
- apply a computational method and use existing tools for descriptive, predictive, and prescriptive analytics;
- expand their ability to use Python and understand the basic programming principles along with Python’s sophisticated functions.
