The Department of Computer Science discussed the Master's thesis entitled "Securing medical data by encrypting it in advanced methods" For a master's student (Moataz Hakki Ismail) Computer Science / General, in the discussion room in the annex building of the Department of Computer Science. The message deals with the mechanism of generating a key to encrypt the data and develop it through an algorithm to get the best results. The goal of the message is to secure medical data by encrypting it in advanced ways through artificial intelligence algorithms and secure patient privacy. It was concluded from this message that a key can be generated in record time by adding the five randomization test curves, and it succeeded in 13 out of 16 NIST tests. The discussion committee consisted of:

• Prof. Dr. Abdel Moneim Saleh Rahma as Chairman
• Prof. Dr. Maysa Abd Ali Khader Member
• Prof. Dr. Nada Abdel-Zahra Abdullah Member
• Prof. Dr. Abeer Tariq Mouloud, Member and Supervisor

The Department of Computer Science discussed the master's thesis tagged "An intelligent system for detecting fraud in distributed data on the basis of the environment using machine learning methods" for the master's student (Ashraf Tahseen Ali) Computer Science / General in the discussion room in the annex building of the Department of Computer Science. The discussion committee consisted of:

• Prof. Dr. Ahmed Tarek Sadeq, President
• Prof. Dr. Sawsan Abdel Hadi Mahmoud, Member
• Prof. Dr. Iyad Roudhan Abbas Member
• Prof. Dr. Hassanein Samir Abdullah, member and supervisor
• Dr. Mohamed Nathiq Fadel, member and supervisor

The thesis, consisting of five chapters, aims to create a multi-level system for fraud detection using machine learning and deep learning methods, based on a highly accurate decision fusion method to work within a distributed environment. The message relies on smart and flexible systems aimed at preventing the phenomenon of impersonation by relying on Identification papers (unified card) and biometric properties through the implementation of machine learning and deep learning techniques. One of the most important findings of the researcher is that despite the system's ability to detect the identity card by 100%, now the card contains some weaknesses. The (ID-CNN) build was working on all data sets in the system and gave 100% accuracy.

Under the direct supervision of the head of the Department of Computer Science, Professor Dr. Alia Karim Abdel-Hassan, the students of the department for the preliminary and higher studies started the final exams for the second round of the academic year 2020-2021 and in the classrooms in the department, taking all precautionary measures to prevent the spread of the Corona virus from wearing masks and social distancing. The head of the department confirmed that the exams are conducted easily and smoothly without any obstacles She commended the efforts of the examining committees and their support and their commitment to the instructions

The associates of the Department of Computer Science, Haider Muhammad Hassan, Director of Statistics Division, Miqdad Fadel Hussain, Director of Registration, Muhammad Thamer Abdel Hadi, Director of the Internet Unit in the department, and Associate Programmer Doaa Hussein, attended a ceremony held by the Department of Quality Assurance and Performance Evaluation at the University of Technology in cooperation with the Scientific Supervision and Evaluation Authority. In the Ministry of Higher Education in the Department of Control and Systems Engineering on Sunday 5-9-2021 under the title "Iraqi Classification of Universities". The Director of the Quality Assurance and Performance Evaluation Division in the Department of Computer Science, teacher Nada Najil Kamal, attended the aforementioned meeting, in addition to her attendance of an electronic training course held by the University of Al-Muthanna over two days on the Iraqi ranking, as well as an attendance workshop on the same subject on the premises of the University of Baghdad in Al-Hakim Hall on 9-8-2021.