Course Details

Course Details
Course No. : 2204081702
Course Name : Artificial Intelligence and Machine Learning
Prerequisite :
Credit  : 3
Theory credit : 3
Practical Credit :
Course Discription : This course covers the fundamentals of artificial intelligence and machine learning including supervised learning, unsupervised learning, reinforcement learning and adaptive control. The course discusses examples including: support vector machines, generative/discriminative learning, parametric/non-parametric learning, clustering, dimensionality reduction, kernel methods, learning theory, and neural networks. Also, the course presents recent machine learning applications such as data mining and bioinformatics.
Syllabus : Download
The Course offering during the First Semester-2024/2025
Section NOTheory SectionTeacherTime & Location
10 DR BASSAM JAMIL RASHEED MOHD 08,30 - 11,30 ر / المادة تدرس وجاهي في مبنى الهندسة هـ 2028