Introduction

The bachelor’s degree in Artificial Intelligence aims to produce graduates who have the ability to identify how artificial intelligence (AI) techniques can provide innovative solutions to information technology problems in businesses and organizations and to apply these solutions in a way that brings added value. BS-AI covers a range of areas in AI, such as knowledge representation, automated reasoning, machine learning, natural language processing (text and speech), autonomous agents, cognitive robotics computer vision and more. All graduates will have acquired cross-disciplinary skills in ethics and social impact.

Graduate Attributes (Program Learning Outcomes)

GA-1   Academic Education: Completion of an accredited program of study designed to prepare graduates as computing professionals.

GA-2   Knowledge for Solving Computing Problems: Apply knowledge of computing fundamentals, knowledge of a computing specialization, and mathematics, science, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.

GA-3   Problem Analysis: Identify and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.

GA-4   Design/Development of Solutions: Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs.

GA-5   Modern Tool Usage: select, or adapt and then apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations

GA-6   Individual and Teamwork: Function effectively as an individual and as a member or leader of a team in multidisciplinary settings.

GA-7   Communication: Communicate effectively with the computing community about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand clear instructions.

GA-8   Computing Professionalism and Society: Understand and assess societal, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice

GA-9   Ethics: Understand and commit to professional ethics, responsibilities, and norms of professional computing practice.

GA-10   Life-long Learning: Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.

Program Objectives (Program Educational Objectives)

• Fundamental Knowledge: Be successful in developing Artificial Intelligence driven solutions for complex industrial problems using modern tools and technologies.
• Professionalism: Be successful in diverse computing related professions by mastering technical skills along positive attitude by working in team with empathy and professionalism.
• Team and Leadership: Accomplish tasks effectively as individuals, team members, and leaders in their profession.
• Ethical Responsibilities: Adopt universal Islamic ethical values within a given professional environment and society.
• Continuous Professional Development: Engage in life-long learning and professional development.