Within the framework of the ongoing scientific and academic activities carried out by the College of Administration and Economics at the University of Kirkuk, and its commitment to supporting scientific research and encouraging rigorous applied studies,
a Master's thesis defense in the Department of Statistics was held in the college conference hall for student Asmaa Salah Muhammad Saleh Hassan, titled:
“Comparison Between Forecasting Using Regression Models and Machine Learning Algorithms”
In the presence of the examination committee members and several college faculty members and researchers, the thesis addressed a contemporary and vital topic in applied statistics and forecasting by conducting a scientific comparison between traditional statistical methods based on regression models and modern algorithms in machine learning, evaluating their efficiency and capability in providing more accurate and effective forecasts.
During the defense session, the researcher delivered a scientific presentation outlining the research problem, objectives, methodology, statistical methods, and algorithms utilized, alongside the primary results and conclusions. The session featured a rich scientific debate and specialized insights from the committee members covering the methodological and practical aspects of the thesis, enriching the research and enhancing its scientific value.
At the conclusion of the defense, the examination committee provided a series of observations and scientific recommendations aimed at improving the thesis and advancing its research dimensions, commending the researcher's scientific efforts and dedication to applying modern statistical methods to address a significant research problem in forecasting.
The examination committee consisted of:
Prof. Dr. Abdul Rahim Khalaf Rahi – Chairman
Asst. Prof. Dr. Jaafar Musa Muhammad – Member
Dr. Ahmed Shamer Yadkar – Member
Asst. Prof. Dr. Wakaa Ali Hadbah – Member and Supervisor
Following the conclusion of the defense and committee deliberations, the candidate's success was announced, and she was awarded a Master's degree with a grade of "High Very Good," in recognition of her research efforts and contribution to her field of study.
This defense underscores the scientific and academic role of the College of Administration and Economics / University of Kirkuk in nurturing graduate studies and encouraging researchers to address modern topics combining established statistical methods with artificial intelligence and machine learning technologies, keeping pace with rapid developments in modern science and contemporary research requirements.
We extend our warmest congratulations to the researcher, wishing her continued success, achievement, and excellence in her academic and professional journey.
