Minor in Artificial Intelligence

The Minor in Artificial Intelligence (AI) is designed to equip students with a solid foundation in the principles, techniques, and applications of AI. Through a combination of theoretical knowledge and hands-on experience, students will gain essential skills in areas such as machine learning, data analysis, intelligent systems, and AI-driven decision-making.

This minor aims to complement the primary field of study by introducing interdisciplinary perspectives and practical tools that are increasingly relevant across a wide range of domains. It is particularly valuable in today’s technology-driven world, where AI is transforming industries such as healthcare, finance, manufacturing, transportation, and more.

The AI minor is currently open to all Bachelor students at Imam Abdulrahman Bin Faisal University. These students will benefit from the synergy between their core studies and AI knowledge, enabling them to enhance their problem-solving capabilities and innovate within their fields.

College

College of Computer Science and Information Technology

Campus

Al Rakah

Track

CCSIT

Level

Undergraduate

Degree

Minor

Gender

Female, Male

Program Educational Objectives

The program aims to: 

1. Understand different ways of modelling data and real-world scenarios - computationally.
2. Be able to model a real-world problem into the appropriate form (such as optimization, classification, regression, clustering, or association).
3. Be able to apply the appropriate artificial intelligence or machine learning techniques to solve the problem.
4. Understand common pitfalls and limitations of existing techniques.

Student Outcomes

0. Demonstrate understanding of fundamental Artificial Intelligence concepts and related fields.

1. Implement and evaluate standard ML using appropriate datasets, tools, and programing languages.

2. Design and implement AI driven solutions to real world problems, employing appropriate software engineering and data science practices.

3. Understand how AI intersects with other and effectively communicate with domain experts to solve complex problems.

4. Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline

1. The student must have completed at least 36 credit hours of the main program.
2. The student’s cumulative GPA must not be less than 3.75 out of 5.0 (or its equivalent).
3. The student must complete the following courses:
   • Fundamentals of Programming (or its equivalent).
   • Calculus (or its equivalent).
   • Introduction to Statistics and Probability Theory (or its equivalent).
   • AI Fundamentals (or its equivalent).

 

Note: Seats are limited. Admission is based on GPA, with priority given to senior students.