This course offers an introduction to data mining concepts and techniques. The goal is for the students to have a solid foundation in data mining that allows them to apply data mining techniques to real-world problems and to conduct research and development in new data mining methods. Topics include data mining algorithms and methods including association analysis, classification, cluster analysis, as well as emerging applications and trends in data mining.
Mathematical essentials; sorting; space and time complexity; algorithm design methods: greedy algorithms, divide and conquer, and dynamic programming; introduction to graph theory; and NP-completeness.
Introduction to computers and programs. Programmer’s algorithm, byte code and Java Virtual Machine. Java program’s structure, constants, variables and built-in data types. The arithmetic, assignment, increment and decrement operators. Classes and object definition, UML representation of a class, declaration of objects (Instance variables), primitive types and reference types. Relational and logical operators, Boolean expressions, conditional statements, loop statements.
The purpose of the present study was to examine teachers’ perceptions of the transition services from school to the work force for students who are Deaf or hard of hearing (D/hh) in Saudi Arabia. The importance of this study was to gain a better understanding of the perceptions of teachers with the objective of identifying the implications and practices for vocational training related to post school success.
يهدف هذا المقرر إلى ما يلي: - - تعريف الطالب بالمعلومات المتعلقة بحاسة السمع وتشريح وتركيب الأذن، وطبيعة الإعاقة السمعية، وأثرها على جوانب النمو المختلفة، وتشخيص وقياس الإعاقة السمعية. - تعريف الطالب خصائص واحتياجات الأطفال الصم وضعاف السمع والمعينات السمعية الملائمة. - تعريف الطالب بطرق التواصل والخيارات المتاحة للأطفال الصم وضعاف السمع.
