AI FOR BUSINESS Lecturer: ECTS credits: 14 Total Hours: 60 contact hours Pre-requisites: This course is appropriate for undergraduate students with background knowledge in Business. Evaluation: Participation in class (by completing class assignments and...
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AI FOR BUSINESS Lecturer: ECTS credits: 14 Total Hours: 60 contact hours Pre-requisites: This course is appropriate for undergraduate students with background knowledge in Business. Evaluation: Participation in class (by completing class assignments and actively participating in class discussions) – 20% Group Project (case presentations) – 40% Final Exam – 40% FINAL COURSE GRADE: 16/20 - 20/20 (Excellent) A 14/20 - 15/20 (Very Good) B 12/20 - 13/20 (Good) C 10/20 – 11/20 (Satisfactory) D < 10/20 (Fail) F AIMS OF THE COURSE The objective of the course is to carry out data analysis using AI tools. Python and R are the two main programming languages that run AI methods. As they both have many libraries and frameworks for data analysis and AI, they must be learned before starting to develop specific tools for the specific fields taught in this course. So, this course is split into 2 parts. First students learn how to use R and Python, as basic tools for learning running AI methods fo
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