Program Mission

 

AI Program is dedicated to delivering exceptional education and advancing research in the field of artificial intelligence. We aim to develop highly skilled graduates who can tackle complex challenges using AI technologies. By fostering innovation, ethical practices, and community engagement, we strive to make a positive societal impact and contribute to sustainable development.

 

Program Objective

 

1. Develop a strong foundation in AI principles: Provide students with a comprehensive understanding of the fundamental concepts, theories, and algorithms in artificial intelligence

2. Foster critical thinking and problem-solving skills: Cultivate students' ability to analyze complex problems, think critically, and apply AI methodologies to develop innovative solutions in real-world scenarios.

3. Promote ethical and responsible AI practices: Instill a strong sense of ethical conduct and responsibility in the design, development, and deployment of AI systems, emphasizing fairness, transparency, privacy, and societal impact.

4. Enhance practical experience in AI applications: Provide hands-on experience and opportunities for students to work on AI projects, collaborate on research initiatives, and apply AI techniques to address real-world challenges.

5. Encourage interdisciplinary collaboration: Foster collaboration with other disciplines, such as data science, computer vision, psychology, and business, to enable students to understand the multidisciplinary nature of AI and its practical applications in diverse areas.

6. Drive AI solutions for societal impact: Encourage students to apply AI techniques to address real-world challenges and contribute to the betterment of society

 

 

Career Opportunities

 

AI Engineer/Developer
• Data Scientist
• Machine Learning Engineer
• Robotics Engineer
• Data Engineer
• Software Engineer
• Natural Language Processing Engineers

 

Learning Outcomes

 

Knowledge and Understanding

K1

Demonstrate a comprehensive understanding of the core concepts, theories, statistical methods, and algorithms underlying artificial intelligence, including machine learning, neural networks, natural language processing, and computer vision.

K2

Acquire knowledge and proficiency in using various AI techniques and tools, such as data preprocessing, feature selection, model selection, and evaluation methods, to develop AI solutions and analyze their performance.

K3

Demonstrate an understanding of the ethical considerations and challenges associated with AI technologies, including privacy, fairness, transparency, bias mitigation, and societal impact, while applying responsible AI practices in real-world scenarios.

Skills

S1

Develop the technical skills required to design, implement, and evaluate AI models and systems, including proficiency in programming languages (such as Python), data manipulation, algorithm implementation, and utilization of AI libraries and framework

S2

 Cultivate the ability to analyze complex problems, identify suitable AI techniques, and apply critical thinking to develop innovative AI solutions.

S3

Acquire skills in collecting, preprocessing, and analyzing data to extract valuable insights and create meaningful representations for AI applications.

Values, Autonomy, and Responsibility

V1

Commitment to ethical considerations in data science, including privacy, fairness, and responsible data handling.

V2

Emphasis on collaborative work, fostering effective teamwork and communication skills in a data science context.

 

Practical Training /Summer Internship 

 

Overview:

All students pursuing a major in Information Technology at our institution are required to complete a 1 credit hour internship, lasting between 8 to 12 weeks. This crucial component of the curriculum is designed to bridge the gap between academic knowledge and real-world application, ensuring that our graduates are well-prepared for the demands of the professional IT landscape.

 

Internship Opportunities:

Students can fulfill their internship requirement by engaging with various organizations, including but not limited to:
1.    Private Sector Companies: Gain exposure to corporate IT environments, working on projects that could range from software development to network security.
2.    Governmental Agencies: Experience the public sector's approach to information technology, including policy implementation and public service IT projects.
3.    Academic Institutions: Participate in research or IT support roles within universities or colleges, contributing to academic advancements and support systems.

 

Learning Outcomes:

The internship program aims to provide students with:
1.  Practical Experience: Apply theoretical knowledge to real-world scenarios, enhancing problem-solving and technical skills.
2.  Professional Networking: Build connections with industry professionals, which can lead to future job opportunities.
3. Career Readiness: Develop a deeper understanding of the computing industry's expectations and work culture, preparing students for a smooth transition into their professional careers.

 

Application Process:

1. Eligibility: Open to senior Computer Science students who have completed the prerequisite coursework.
2. Placement Assistance: The Career Services Office offers support in finding suitable internship placements, including resume workshops, interview preparation, and networking events.
3. Documentation: Students must submit an Internship Agreement Form, detailing their internship role, duration, and learning objectives. Upon completion, an Internship Report and an Employer Evaluation Form are required to earn the credit.

 

Support and Resources:

1. Internship Coordinator: A dedicated faculty member is available to guide students through the internship process, address any concerns, and ensure that the experience meets academic standards.
2. Workshops and Seminars: Regularly scheduled sessions to prepare students for the internship experience, covering topics such as workplace etiquette, project management, and technical skills enhancement.

 

Contact Information:

For more details on the Information Technology internship requirement, please contact:

·   Internship Coordinator: Dr. Mohammed Hujooj
·   Email: mhujooj@fbsu.edu.sa
    Office: 3061