At the end of this course, the students; 1) Understand and interpret the concepts, development and dynamics of Network Society. 2) Aware of potential opportunities and risks of robotics applications in business functions. 3) Aware of potential opportunities and risks of machine learning applications in business functions. 4) Explain how artificial intelligence practices can help the enterprise increase its competitive advantage. 5) Aware of the critical issues related to the legal and ethical issues, the confidentiality and security of the data sources, etc. in the field of artificial intelligence and applications in enterprises.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
BUS442 INDUSTRY 4.0
BUS443 MANAGEMENT INFORMATION SYSTEM
COURSE DEFINITION
The aim of this course is to enhance the students' understanding, knowledge and skills about applications, opportunities and risks on the Artificial Intelligence technologies and subfields of neural networks, genetic algorithms and machine learning in business management. Besides, it is aimed that students have information about security, ethics and social issues in digitalized enterprises.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Introduction to Network Society and Digital Organizations
2nd Week
Introduction to Network Society and Digital Organizations
3rd Week
New Approaches in Digital Business and Management
4th Week
New Approaches in Digital Business and Management
5th Week
Neural networks in business management and Applications
6th Week
Neural networks in business management and Applications
7th Week
Robotics and Business Management
8th Week
Mid Term
9th Week
Robotics and Business Management
10th Week
Neural networks in business management and Applications
11th Week
Machine learning in business management and Applications