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[DAM 451] Computer Vision

Course Code

DAM 451

Credits

Instruction Language

Azerbaijani

Course Type

Elective - Block 5

Course Description

This course explores the techniques that enable computers to interpret and understand visual information from the world. The curriculum focuses on image processing fundamentals, feature extraction, and object detection. Students investigate convolutional neural networks (CNNs), image segmentation, and facial recognition technologies. The course emphasizes the use of libraries such as OpenCV and PyTorch to solve real-world visual challenges. By the end of the semester, students will be capable of building autonomous visual systems for medical imaging, surveillance, and self-driving vehicles, providing cutting-edge expertise for the next generation of artificial intelligence applications.

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