إعلان
نبذة تعريفية / مختصر السيرة الذاتية
سراب المهیدب أستاذ مشارك في قسم علوم الحاسب - جامعة الملك سعود، حاصلة على شهادة الماجستیر في علوم الحاسب من معهد ستیفنز للتقنیة - نیو جیرسي - الولایات المتحدة الأمریكیة عام ١٩٩٩ ، ثم على الدكتوراه في علوم الحاسب في مجال الذكاء الحوسبي -
جامعة الملك سعود عام ٢٠١٤. تشمل اهتماماتها البحثیة الذكاء الحوسبي، وتعلم الآلة، والخوازرمیات فوق الاستدلالیة، وهجین الخوارزمیات.
Sarab AlMuhaideb is an Associate Professor in Computer Science at King Saud University. In 1999, she received a Master of Science in Computer Science from Stevens Institute of Technology, New Jersey. She obtained her PhD in Computer Science from King Saud University in 2014. In 2017, she was certified an IBM Predictive Analytics Modeler Mastery Award. Dr. AlMuhaideb obtained several honours including Shiekh Rashid Al-Maktoom Award for Scientific Achievement (UAE, 1991 and 1999), Scientific Achievement Certificate from the UAE Embassy (USA, 1998), and Computer Science Outstanding Faculty Award in recognition for Outstanding Teaching (Prince Sultan University, 2016). Her research interests include Computational Intelligence, Machine Learning, Metaheuristics, Hybrid Methods, and Optimization Methods.
المنشورات
المزيد ...
المواد الدراسية
المزيد ...
This course aims at introducing the students to a different area of Computer Science. This will be achieved by exposing them to new tools, techniques, and research in Computer Science…
This course gives an overview to machine learning concepts, techniques, and algorithms. Topics include: inductive learning, decision trees, artificial neural networks, instance-based…
Mathematical essentials; sorting; space and time complexity; algorithm design methods: greedy algorithms, divide and conquer, and dynamic programming; introduction to graph theory; and NP-…