Faculty Of Computer And Information Technologies | Artificial Intelligence and Machine Learning

#	Key Learning Outcomes
1	Students learn the basics of computer programming and effectively apply these skills in artificial intelligence and machine learning projects.
2	Understand and apply mathematical concepts required to solve problems in artificial intelligence and machine learning.
3	Master algorithm design, analysis, and optimization to develop efficient and innovative solutions.
4	Learn fundamental machine learning techniques, such as supervised and unsupervised learning, and adapt them to real-world problems.
5	Adopt ethical AI practices and design systems with social and technological responsibility.
6	Learn data collection, analysis, and interpretation processes to successfully develop machine learning models.
7	Master deep learning methods and artificial neural networks to develop advanced solutions for complex datasets.
8	Identify, analyze, and solve optimization problems using contemporary techniques.
9	Professionally manage requirements analysis, design, implementation, and testing phases in AI projects.
10	Work effectively in multidisciplinary teams and successfully convey technical knowledge both in writing and orally.
11	Continuously improve themselves by following advancements in AI and machine learning, advancing their careers.
12	Gain hands-on experience through internships and industrial projects, preparing them for the industry.