Under the patronage of the President of Al-Qadisiyah University, Professor Dr. Rahi Kalaf Mahdi Al-Yasiri, and the supervision of the Dean of the College of Computer Science and Information Technology, Assistant Professor Dr. Mustafa Jawad Radif, the College of Computer Science and Information Technology – Department of Intelligent Medical Systems, in collaboration with professors from the Department of Management and Economics – Accounting Department, held a training course entitled:
((Data Analysis and Administrative Decision-Making Using Artificial Intelligence)).
The course was presented by:
• Lecturer Saif Safaa Shaker (Specialization: Computer Science – Artificial Intelligence)
• Lecturer Sami Latif Jahadi (Specialization: Management and Economics – Accounting)
The course covered a range of modern scientific and applied topics, including:
– The concept of data analysis and its importance in modern organizations.
– Types of data (structured and unstructured) and methods of collecting and processing them.
– The concept of administrative decision-making, its stages, and traditional and modern methods. – The role of artificial intelligence (AI) in supporting and improving the efficiency and accuracy of administrative decisions.
– An introduction to the most important AI and machine learning algorithms and techniques used in data analysis.
– Practical applications of AI.
– Real-world models and case studies demonstrating how to leverage data analysis in various work environments.
– The ethical and technical challenges associated with using AI in management.
The course contributed to achieving several scientific and practical benefits, most notably:
• Developing participants’ skills in data analysis and understanding its outputs.
• Enhancing the ability to make accurate, data-driven administrative decisions.
• Understanding the role of AI in increasing organizational efficiency and improving the quality of decisions.
• Keeping abreast of the latest developments in digital transformation and AI.
• Bridging the gap between theory and practice.
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