The Department of Computer Science discussed the master's thesis tagged "Designing an adaptive e-learning system to detect fraud based on the K-Mean method" Website Personalization Depend on Usage-based web Mining Methods. Master's student Noureddine Alaa Muhammad Taha /computer sciences/ in the discussion room in the annex building of the Department of Computer Science. The thesis aims to build an adaptive e-learning system that helps detect cheating cases in the MCQ test and their IQ ratios because IQ is a feature that was configured in the proposed system to be used in cheat detection technology to provide recommendations for cheating cases. The discussion committee consisted of:

• Prof. Haider Kazem Hammoud, President
• Prof. Dr. Shatha Habib Jaafar Member
• Prof. Dr.Adhraa Jassim Mohammed is a member
• Prof. Dr. Esraa Tahsin Ali, member and supervisor

/div>

Source: Department's Media