Program Mission:
To prepare graduates who are knowledgeably, skilfully, and professionally qualified in the field of artificial intelligence, through a quality curriculum, a distinguished academic staff, and a stimulating educational environment that meets the needs of society.
Program Objectives:
- Providing students with advanced theoretical and applied knowledge in the field of artificial intelligence and its various technologies.
- Developing the technical and practical skills necessary to design and develop artificial intelligence systems capable of solving complex problems in various fields.
- Enhancing innovation and scientific research capabilities through applied projects and scientific research that contribute to the development of smart technologies locally and globally.
- Preparing graduates capable of competing in the labor market through academic programs aligned with industry requirements and the latest technological developments.
- Promoting teamwork and leadership in multidisciplinary environments, with a focus on the ethics of artificial intelligence and its societal impact.
Program Intended Learning Outcomes (PILOs):
Knowledge and Understanding:
Upon successful completion of the undergraduate program in Artificial Intelligence, graduates will be able to:
A1. Demonstrate a sound knowledge of computing that leads to exercise critical judgment for solving real world computing problems.
A2. Show a broad, coherent knowledge and theories of artificial intelligence discipline, with detailed knowledge of key AI algorithms.
Cognitive/ Intellectual Skills:
Upon successful completion of the undergraduate program in Artificial Intelligence, graduates will be able to:
B1. Analyze complex computing problems to identify substantial solutions using principles or techniques of computing, mathematics, and other relevant disciplines.
B2. Identify AI adapting tools, techniques, practices, and methods that can used to solve smart application problems.
B3- Assess and proposed suitable solutions AI-based problems computing and other relevant disciplines using AI lifecycle to satisfy stakeholders’ needs.
Practical and Professional Skills:
Upon successful completion of the undergraduate program in Artificial Intelligence, graduates will be able to:
C1. Design, integrate, develop, or test a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
C2- Apply Artificial intelligence theory and software development fundamentals to produce smart-based solutions.
C3- design an innovative AI-based model to solve a problem containing a range of commercial and industrial constraints.
General and Transferable Skills:
Upon successful completion of the undergraduate program in Artificial Intelligence, graduates will be able to:
D1. Communicate and negotiate effectively with a range of audiences.
D2. Function effectively as an individual and as a member or leader of a team in multidisciplinary environment.
D3. Engage in lifelong learning for continual development in academic or career life.
D4. Demonstrate professionalism, social and ethical consideration to make informed judgments in computing practice in accordance with ethical and legal principles.
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Level 1. |
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Term 1 |
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No. |
Level-Sem. |
Course Code |
Course Name |
اسم المقرر |
Cr. Hrs. |
L |
P |
T |
Prerequisites, Co-requisites |
|
|
|
|
Islamic Culture |
الثقافة الإسلامية |
2 |
2 |
- |
- |
|
|
|
|
|
Arabic Language Skills 1 |
مهارات اللغة العربية 1 |
2 |
2 |
- |
- |
|
|
|
|
|
English Language 1 |
اللغة الإنجليزية 1 |
2 |
2 |
- |
- |
|
|
|
|
|
Mathematics 1 |
الرياضيات 1 |
3 |
2 |
- |
2 |
|
|
|
|
|
Introduction to Computer |
مقدمة في الحاسوب |
3 |
2 |
2 |
- |
|
|
|
|
|
Computer Programming 1 |
برمجة الحاسوب 1 |
3 |
2 |
2 |
- |
|
|
|
|
|
Discrete Mathematics |
الرياضيات المتقطعة |
3 |
2 |
- |
2 |
|
|
|
|
|
Total |
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|
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|
Term 2 |
|||||||||
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No. |
Level-Sem. |
Course Code |
Course Name |
اسم المقرر |
Cr. Hrs. |
L |
P |
T |
Prerequisites, Co-requisites |
|
|
|
|
Arabic Language Skills 2 |
مهارات اللغة العربية 2 |
2 |
2 |
- |
|
|
|
|
|
|
English Language 2 |
اللغة الإنجليزية 2 |
2 |
2 |
- |
|
|
|
|
|
|
Mathematics 2 |
الرياضيات 2 |
3 |
2 |
- |
2 |
|
|
|
|
|
Probability and Statistics |
الإحصاء والاحتمالات |
3 |
2 |
- |
2 |
|
|
|
|
|
Digital Logic Design |
التصميم المنطقي الرقمي |
3 |
2 |
2 |
|
|
|
|
|
|
Computer Programming 2 |
برمجة الحاسوب 2 |
3 |
2 |
2 |
|
|
|
|
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Web Design |
تصميم الويب |
3 |
2 |
2 |
|
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Total |
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Level 2. |
|
Term 1 |
|||||||||
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No. |
Level-Sem. |
Course Code |
Course Name |
اسم المقرر |
Cr. Hrs. |
L |
P |
T |
Prerequisites, Co-requisites |
|
|
|
|
National Culture |
الثقافة الوطنية |
2 |
2 |
- |
- |
|
|
|
|
|
Linear Algebra |
الجبر الخطي |
3 |
2 |
- |
2 |
|
|
|
|
|
Database System |
نظم قواعد البيانات |
3 |
2 |
2 |
|
|
|
|
|
|
Computer Organization and Architecture |
معمارية وتنظيم الحاسوب |
3 |
2 |
2 |
|
|
|
|
|
|
Object Oriented Programming |
البرمجة الهدفية |
3 |
2 |
2 |
|
|
|
|
|
|
Data Structures |
هياكل البيانات |
3 |
2 |
2 |
|
|
|
|
|
|
Introduction to AI |
مقدمة في الذكاء الاصطناعي |
3 |
2 |
2 |
|
|
|
|
|
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Total |
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|
Term 2 |
|||||||||
|
No. |
Level-Sem. |
Course Code |
Course Name |
اسم المقرر |
Cr. Hrs. |
L |
P |
T |
Prerequisites, Co-requisites |
|
|
|
|
Web Development |
تطوير الويب |
3 |
2 |
2 |
- |
|
|
|
|
|
Computer Networks |
شبكات الحاسوب |
3 |
2 |
2 |
- |
|
|
|
|
|
Introduction to Data Science |
مقدمة في علم البيانات |
3 |
3 |
- |
- |
|
|
|
|
|
Design and Analysis Algorithms |
تصميم وتحليل خوارزميات |
3 |
2 |
- |
2 |
|
|
|
|
|
Mobile Applications Programming |
برمجة تطبيقات الموبيل |
3 |
1 |
4 |
|
|
|
|
|
|
Machine Learning |
التعلم الآلي |
3 |
2 |
2 |
|
|
|
|
|
|
Communication Skills |
مهارات الاتصال |
2 |
2 |
|
|
|
|
|
|
|
Total |
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Level 3 |
|
Term 1 |
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No. |
Level-Sem. |
Course Code |
Course Name |
اسم المقرر |
Cr. Hrs. |
L |
P |
T |
Prerequisites, Co-requisites |
|
|
|
|
The Conflict with the Israeli Enemy |
الصراع مع العدو الإسرائيلي |
2 |
2 |
- |
- |
|
|
|
|
|
Image Processing |
معالجة الصور |
3 |
2 |
2 |
- |
|
|
|
|
|
Deep Learning and Neural Networks |
التعلم العميق والشبكات العصبية |
3 |
2 |
2 |
- |
|
|
|
|
|
Systems Analysis and Design |
تحليل وتصميم النظم |
3 |
2 |
2 |
- |
|
|
|
|
|
Operating Systems |
نظم التشغيل |
3 |
2 |
2 |
- |
|
|
|
|
|
Embedded Systems |
النظم المضمنة |
3 |
2 |
2 |
- |
|
|
|
|
|
Information Security |
أمنية المعلومات |
3 |
2 |
2 |
- |
|
|
|
|
|
Total |
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|
Term 2 |
|||||||||
|
No. |
Level-Sem. |
Course Code |
Course Name |
اسم المقرر |
Cr. Hrs. |
L |
P |
T |
Prerequisites, Co-requisites |
|
|
|
|
Introduction to Robotics |
مقدمة في الروبوتات |
3 |
2 |
2 |
- |
|
|
|
|
|
Expert Systems |
النظم الخبيرة |
3 |
2 |
2 |
- |
|
|
|
|
|
Computer Vision |
الرؤيا بالحاسوب |
3 |
2 |
2 |
- |
|
|
|
|
|
Research Methodology |
طرق البحث العلمي |
2 |
2 |
- |
- |
|
|
|
|
|
Text Mining* |
تنقيب النصوص |
3 |
2 |
2 |
- |
|
|
|
|
|
Representation, Reasoning & Problem Solving* |
التمثيل والاستدلال وحل المشكلات |
3 |
2 |
2 |
- |
|
|
|
|
|
Internship |
التدريب الميداني |
0 |
- |
- |
- |
|
|
|
|
|
Total |
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|
|
|
Level 4 |
|
Term 1 |
|||||||||
|
No. |
Level-Sem. |
Course Code |
Course Name |
اسم المقرر |
Cr. Hrs. |
L |
P |
T |
Prerequisites, Co-requisites |
|
|
|
|
Natural Language Processing |
معالجة اللغات الطبيعية |
3 |
2 |
2 |
- |
|
|
|
|
|
Elective Course 1 |
مقرر اختياري ١ |
3 |
2 |
2 |
- |
|
|
|
|
|
Reinforcement Learning* |
التعلم التعزيزي |
3 |
2 |
2 |
- |
|
|
|
|
|
Graduation Project 1 |
مشروع التخرج 1 |
3 |
1 |
4 |
|
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Total |
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Term 2 |
|||||||||
|
No. |
Level-Sem. |
Course Code |
Course Name |
اسم المقرر |
Cr. Hrs. |
L |
P |
T |
Prerequisites, Co-requisites |
|
|
|
|
Professional Legal and Ethics |
أخلاقيات وقوانين المهنة |
2 |
2 |
- |
- |
|
|
|
|
|
Elective Course 2 |
مقرر اختياري ٢ |
3 |
2 |
|
2 |
|
|
|
|
|
Model Deployment & API* |
نشر النماذج وواجهة البرمجة |
3 |
2 |
2 |
- |
|
|
|
|
|
Graduation Project 2 |
مشروع التخرج 2 |
3 |
1 |
4 |
- |
|
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Total |
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