Artificial Intelligence for Leadership and Business DevelopmentLaajuus (5 cr)
Code: DL2302
Credits
5 op
Objective
The aim of the course is to introduce artificial intelligence (AI) and machine learning (ML) concepts and applications in the field of leadership and business. The students will gain insights into the work-flow process that starts with problem identification and data collection, continues with choice of appropriate AI tools and ends with an evaluation of the results. During the course the student is given the opportunity to discuss the lessons learnt to a problem from their own day-to-day work environment.
Content
• Introduction to AI and ML
• Current application areas of AI and ML
• The added value that AI and ML can bring to leadership and business
• Predictive, classification and generative models for AI and ML
• Methods and tools are used within AI and ML
• Evaluation of the results of AI and ML
• Ethical and legal aspects of AI
Qualifications
Data analytics, Datadriven decision-making
Enrollment
01.03.2024 - 30.03.2024
Timing
25.03.2024 - 31.05.2024
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Teaching languages
- Svenska
Teachers
- Mats Braskén
- Ray Pörn
- Anna Stenman
Objective
The aim of the course is to introduce artificial intelligence (AI) and machine learning (ML) concepts and applications in the field of leadership and business. The students will gain insights into the work-flow process that starts with problem identification and data collection, continues with choice of appropriate AI tools and ends with an evaluation of the results. During the course the student is given the opportunity to discuss the lessons learnt to a problem from their own day-to-day work environment.
Content
• Introduction to AI and ML
• Current application areas of AI and ML
• The added value that AI and ML can bring to leadership and business
• Predictive, classification and generative models for AI and ML
• Methods and tools are used within AI and ML
• Evaluation of the results of AI and ML
• Ethical and legal aspects of AI
Evaluation scale
H-5
Qualifications
Data analytics, Datadriven decision-making