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Dr. Bassam Hammo
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Course
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Academic Year
Advanced Database Management Systems
Advanced data modeling concepts: Advanced Relational data modeling, Object-Oriented data modeling; Database Design Theory: Advanced Relational Algebra, Database Normalization, Object-Oriented database design; Advanced Query Languages: Advanced Relational SQL constructs, Object-Oriented query languages; Database Integrity; Concurrency Control: concurrency problems, concurrency approaches; Database Recovery: Recovery solutions and approaches; Database Security.
master
Human Computer Interaction
Designing, building, and programming graphical user interfaces, Human-centered software evaluation, Human-centered software development, HCI aspects of multimedia systems and Web-based systems, these topics are intended as an introduction to human-computer interaction. Emphasis will be placed on understanding human behavior with interactive objects, knowing how to develop and evaluate interactive software using a human-centered approach, and general knowledge of HCI design issues with multiple types of interactive software. Weekly practice in the lab.
Third Year
Object Oriented Programming (JAVA)
Object-Oriented (OO) Programming Environment; OO Building Blocks; Input/Output; Loops; Decisions; Functions; Arrays and Strings; Data structures; Encapsulation; Advanced variables; Object Oriented Programming; Useful OO features; Classes and objects; Inheritance; Polymorphism; Exceptions handling; Threads; Files; Writing programs in JAVA languages. Weekly practice in the lab.
Second Year
Natural Language Processing
Origins of Natural Language Processing (NLP); Language structure representation; The role of knowledge; Knowledge representation; Parsing techniques; Finite-state techniques; Recursive and augmented transition networks; Language ambiguity; Well-Formed constructs; Features and the lexicon; Language semantics; Applications. Weekly practice in the lab.
Second Year
Advanced Natural Language Processing
This course enables students to understand and implement statistical approaches and algorithms used in NLP. It also emphasizes on applications of NLP including question answering, text summarization, text mining, machine translation, text categorization, text classification, information retrieval, information extraction, voice recognition, text-to-speech synthesis.
master
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