The student (Hala Dhiaa' Hassan) received her master's degree from the Department of Computer Sciences / University of Technology for her thesis (Intelligent system for classification of the document based on it's contents) in her work she proposed a system to classify documents to the correct category based on their content and called " IDC "). The IDC system uses four types of pre-processing: Tokenization to separate each word from other words, Normalization to delete all non-words, Remove stop words to delete all non-important words and the porter algorithm to get the word root. The BoW model is used to extract features from documents and to use the weighting method to assign weight to each feature. This was on Monday, March 19, 2018, and on the discussion hall in the department. The discussion committee was composed of: Dr. Rahab Flieh Hassan and Dr. Esraa' Abdel Amir Abdul Jabbar from the University of Technology / Computer Sciences Department and (Dr. Haitham Abdul Latif Omar) from Al Salam University.