A word from the Head of the Artificial Intelligence Engineering Department

The Artificial Intelligence Engineering Department is a branch of engineering that focuses on developing and applying technologies and systems that enable intelligent systems to interact with and learn from data and make decisions based on that data. This department encompasses many fields and topics, such as machine learning, natural language processing, computer vision, deep machine learning, artificial neural networks, robotics, AI guidance systems, and pattern recognition. Artificial Intelligence Engineering students learn how to develop software and systems that use machine learning and data analysis to solve various problems. These students work on developing applications and systems used in a variety of fields, such as healthcare, smart cars, finance, marketing, security, and many other applications. This department relies heavily on mathematics and programming, requiring a deep understanding of the theoretical foundations and practical applications of artificial intelligence. It is the home of the mind and creativity, a fundamental tributary of modern science and technology. It combines mathematical sciences, programming, and advanced technologies to graduate a generation of creative and distinguished engineers in the field of artificial intelligence.

Department's vision

Creating a promising and innovative generation in artificial intelligence engineering capable of competing locally and internationally, keeping pace with technological progress, and serving society with an open mind and ethical integrity.

Departmental message

To produce innovative graduates in the field of artificial intelligence engineering, with a focus on practical applied research to address local and global challenges, through high-quality academic programs, community engagement, leadership opportunities, and a strong commitment to ethical standards.

Department objectives

Goal 1: Adopt responsible, professional, and ethical engineering techniques in the field of artificial intelligence. Goal 2: Participate in professional development and learn new skills to pursue flexible career paths in interdisciplinary engineering. Goal 3: Participate in community service activities to enhance leadership skills.

values

Maintaining the integrity and honor of the profession. Advancing knowledge through sustained basic and applied research. Serving the community, organizations, and associations. Honesty, transparency, and communication. Respecting diversity, individual rights, academic responsibility, and freedom.