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- The Department of Computer Science discussed the tagged master's thesis Clustering Covid-19 Research Papers Using Machine Learning "Collecting research papers on Covid 19 using machine learning" by student Tariq Abdul Amir Shani in the discussion room in the building of the Department of Computer Science. The thesis aims to design and build a system capable of collecting research papers related to the pandemic based on collecting the extract from the text using machine learning. The discussion committee consisted of Prof. Ahmed Tariq Sadeq as Chairman, and Prof. Dr. Nada Abdel-Zahra Abdullah, Dr. Azra Jassim Muhammad, and Dr. Suhad Malallah Kazem as members and supervisor.

 

Source: Department's Media

- The Department of Computer Science discussed the tagged master's thesis Covid19 Prediction System Based on Location Tracking of Infected People A coved19 prediction system based on tracking the location of the infected persons for the student, Safa Muhammad Musab, on the discussion hall in the building of the Computer Science Department. The message aims to track the locations of people infected with coved 19 and predict the most endemic places of the epidemic, based on the statistical analysis of injuries. The research reached several conclusions, most notably that the system achieved high-accuracy results. The discussion committee consisted of Prof. Dr. Rana Farid Ghani as Chairman, and Prof. Dr. Abdul Wahab Sami, Dr. Israa Tahsin, and Dr. Bashar Saadoun Mahdi as members and supervisor.

 

Source: Department's Media

- The Department of Computer Science discussed the tagged master's thesis Hybird Text Similarty Approach Based on Semantic Network And Machine learning Algorthim. A hybrid model of text similarity based on meaning networks and machine learning algorithms by the student Nima Hussein Hamid on the discussion hall in the building of the Department of Computer Science. The thesis deals with a hybrid method for measuring similarity in terms of meaning between texts using semantic networks and machine learning algorithms. Accurate relationships between words and concepts. The discussion committee consisted of Prof. Dr. Iyad Roudhan as Chairman, with membership as Prof. Dr. Zuhair Hussein, Dr. Khalil Ibrahim, and Dr. Ahmed Tariq Sadiq as supervisor.



 

Source: Department's Media

- The students of the Department of Computer Science started the preliminary study with the final exams for the second semester of the academic year 2022-2023 on Sunday 28/5/2023, according to the instructions of the Ministry of Higher Education and Scientific Research and the directives of the Presidency of the University of Technology, where the head of the Computer Science Department, Professor Dr. Assistant Professor, Dr. Bashar Saadoun Mahdi, to review the course of the examination process in the department. Where all the necessary requirements for the success of the exams were provided in order to enable the students to perform their exams without obstacles.









 

Source: Department's Media

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