Scientific Visit to Misurata Free Zone
The department organized a scientific field visit to Misurata Free Zone, where students learned about digital transformation projects.
View original postDepartment visits: 107Since counter activation
To prepare scientifically and professionally qualified artificial intelligence engineers through education that integrates mathematical, computing and engineering foundations with practical application and research, in an environment that promotes innovation, ethics and partnerships with society and industry while addressing employment and development needs.
1. Prepare graduates with the knowledge and skills to design, develop and evaluate intelligent systems for engineering applications.
2. Deliver integrated curricula connecting mathematics, programming, machine learning, electronics and embedded systems with practical application.
3. Develop critical thinking, problem solving, teamwork, communication and lifelong learning.
4. Support research, innovation and applied projects addressing community and industrial needs in Libya.
5. Embed integrity, fairness, privacy, safety and professional responsibility in the use of AI.
6. Build academic and industrial partnerships, strengthening training, entrepreneurship and employment readiness.
7. Continuously improve teaching, assessment and educational facilities in line with scientific and technological development.
To lead in education, research and innovation in artificial intelligence engineering, contributing responsible intelligent engineering solutions that support sustainable development in Libya.
Courses are organized into four groups. Select “Brief” beside any course to view its introduction.
Credits counted from the plan tables: 136
College general courses: 46 counted credits; department general courses: 42 credits; specialist courses, including two electives and the graduation project: 48 credits. Courses marked outside the total are excluded.
| # | Code | Course | Credits | Lectures | Prerequisites | About |
|---|---|---|---|---|---|---|
| 1 | ع ع 101 | Mathematics I | 3 | 3 | — | |
| 2 | ع ع 111 | Physics I | 3 | 3 | — | |
| 3 | هـ ع 121 | Engineering Mechanics | 3 | 3 | — | |
| 4 | ع أ 150 | Arabic I | 2 | 2 | — | |
| 5 | ع أ 141 | English I | 3 | 3 | — | |
| 6 | ع أ 170 | Islamic Culture Outside the credit total | 1 | 1 | خارج المجموع | |
| 7 | ع ع 102 | Mathematics II | 3 | 3 | ع ع 101 | |
| 8 | ع ع 112 | Physics II | 3 | 3 | ع ع 111 | |
| 9 | هـ ع 130 | Mechanical Workshops | 3 | 2 | — | |
| 10 | ع أ 151 | Arabic II | 1 | 1 | ع أ 150 | |
| 11 | ع أ 142 | English II | 3 | 3 | ع أ 141 | |
| 12 | ع أ 152 | Technical Report Writing | 1 | 1 | ع أ 151 | |
| 13 | ع ع 203 | Mathematics III | 3 | 3 | ع ع 102 | |
| 14 | ع ع 200 | Computer Programming | 3 | 2 | — | |
| 15 | هـ ع 127 | Engineering Drawing | 2 | 1 | — | |
| 16 | ع ع 112 م | Physics Laboratory | 1 | 0 | بالتزامن مع ع ع 112 | |
| 17 | ع ع 206 | Statistics and Probability | 3 | 3 | ع ع 102 | |
| 18 | ع ع 204 | Mathematics IV | 3 | 3 | ع ع 203 | |
| 19 | هـ ع 306 | Numerical Analysis | 3 | 3 | ع ع 200 + ع ع 204 | |
| Counted credits | 46 | |||||
| # | Code | Course | Credits | Lectures | Prerequisites | About |
|---|---|---|---|---|---|---|
| 1 | هـ ذك 211 | Fundamentals of Artificial Intelligence | 3 | 3 | ع ع 200 | |
| 2 | هـ ذك 220 | Operating Systems | 3 | 3 | ع ع 200 | |
| 3 | هـ ذك 212 | Digital Systems | 3 | 3 | ع ع 200 | |
| 4 | هـ ذك 224 | Electronic Circuits | 3 | 3 | هـ ذك 212 | |
| 5 | هـ ذك 261 | Microprocessors | 3 | 3 | هـ ذك 212 م | |
| 6 | هـ ذك 280 | Engineering Computer Software | 3 | 2 | ع ع 200 | |
| 7 | هـ ذك 301 | Signals and Systems | 3 | 3 | ع ع 204 | |
| 8 | هـ ذك 332 | Data Networks | 3 | 3 | هـ ذك 212 | |
| 9 | هـ ذك 340 | Mathematical Optimization | 3 | 3 | هـ ع 306 | |
| 10 | هـ ذك 250 | Data Structures and Algorithms | 3 | 3 | ع ع 200 | |
| 11 | هـ ذك 360 | Databases | 3 | 3 | ع ع 200 | |
| 12 | هـ ذك 270 | Machine Learning | 3 | 1 | ع ع 206 + هـ ذك 211 | |
| 13 | هـ ذك 212 م | Digital Systems Laboratory | 1 | 0 | هـ ذك 212 | |
| 14 | هـ ذك 224 م | Electronics Laboratory | 1 | 0 | هـ ذك 224 | |
| 15 | هـ ذك 300 | Object-Oriented Programming | 3 | 2 | هـ ذك 250 | |
| 16 | هـ ذك 261 م | Microprocessors Laboratory | 1 | 0 | هـ ذك 261 | |
| Counted credits | 42 | |||||
| # | Code | Course | Credits | Lectures | Prerequisites | About |
|---|---|---|---|---|---|---|
| 1 | هـ ذك 371 | Deep Learning and Its Applications | 3 | 3 | هـ ذك 270 | |
| 2 | هـ ذك 362 | Digital Signal Processing | 3 | 3 | هـ ذك 301 | |
| 3 | هـ ذك 320 | Modeling and Simulation | 3 | 3 | هـ ذك 301 | |
| 4 | هـ ذك 422 | Natural Language Processing | 3 | 3 | هـ ذك 371 | |
| 5 | هـ ذك 400 | Robotics | 3 | 3 | هـ ذك 366 | |
| 6 | هـ ذك 400 م | Robotics Laboratory | 1 | 0 | هـ ذك 366 | |
| 7 | هـ ذك 365 | Image Processing | 3 | 3 | هـ ذك 362 | |
| 8 | هـ ذك 366 | Embedded Systems and Internet of Things | 3 | 3 | هـ ذك 261 | |
| 9 | هـ ذك 366 م | Embedded Systems Laboratory | 1 | 0 | هـ ذك 366 | |
| 10 | هـ ذك 407 | Cloud Computing and Big Data | 3 | 3 | هـ ذك 360 | |
| 11 | هـ ذك 408 | Computer Vision | 3 | 3 | هـ ذك 365 + هـ ذك 371 | |
| 12 | هـ ذك 372 | Network Cybersecurity | 3 | 3 | هـ ذك 332 | |
| 13 | هـ ذك 410 | Data Mining | 3 | 3 | هـ ذك 360 | |
| 14 | هـ ذك 421 | Ethics of Artificial Intelligence | 3 | 3 | — | |
| 15 | هـ ذك 412 | Elective I | 3 | 3 | بحسب الاختيار | |
| 16 | هـ ذك 413 | Elective II | 3 | 3 | بحسب الاختيار | |
| 17 | هـ ذك 499 | Graduation Project | 4 | 1 | — | |
| Counted credits | 48 | |||||
The selected courses fill Elective I and Elective II. The full elective list is not added to the graduation credit total.
| # | Code | Course | Credits | Prerequisites | About |
|---|---|---|---|---|---|
| 1 | هـ ذك 420 | Game Theory | 3 | — | |
| 2 | هـ ذك 421 | Applications of Artificial Intelligence | 3 | — | |
| 3 | هـ ذك 422 | Agent Systems | 3 | — | |
| 4 | هـ ذك 423 | Reinforcement Learning | 3 | — | |
| 5 | هـ ذك 424 | Generative Artificial Intelligence | 3 | — | |
| 6 | هـ ذك 425 | Explainable Artificial Intelligence | 3 | — | |
| 7 | هـ ذك 426 | Advanced AI Ethics and Governance | 3 | — | |
| 8 | هـ ذك 427 | Artificial Intelligence for Smart Cities | 3 | — | |
| 9 | هـ ذك 428 | Quantum Computing and AI Applications | 3 | — | |
| 10 | هـ ذك 429 | AI-Based Cybersecurity | 3 | — | |
| 11 | هـ ذك 430 | Big Data Analytics with AI | 3 | — | |
| 12 | هـ ذك 431 | Artificial Intelligence in Energy and Environment | 3 | — | |
| 13 | هـ ذك 432 | Game Development and Virtual Reality | 3 | — | |
| 14 | هـ ذك 433 | Cybersecurity | 3 | — | |
| 15 | هـ ذك 434 | Distributed Systems | 3 | — | |
| 16 | هـ ذك 435 | Geographic Information Systems | 3 | — | |
| 17 | هـ ذك 436 | System Monitoring and Diagnosis | 3 | — | |
| 18 | هـ ذك 437 | System Identification | 3 | — | |
| 19 | هـ ذك 438 | Entrepreneurship | 3 | — | |
| 20 | هـ ذك 439 | Industrial Systems Control | 3 | — | |
| 21 | هـ ذك 440 | Artificial Intelligence in Healthcare | 3 | — | |
| 22 | هـ ذك 441 | Digital Electronics | 3 | — | |
| 23 | هـ ذك 442 | Engineering Management and Economics | 3 | — | |
| 24 | هـ ذك 443 | Data Acquisition | 3 | — |
Hours shown are weekly contact hours. Course codes and prerequisites follow the study plan.
Scientific visits, academic participation and department developments. Explore selected activities and follow the department page on Facebook for the latest posts.
Follow the department on FacebookThe department organized a scientific field visit to Misurata Free Zone, where students learned about digital transformation projects.
View original postMisurata University’s Faculty of Engineering participated in the Libya AI Forum 2026 as part of its academic engagement with developments in the field.
View original postThe Faculty of Engineering announced work to equip the AI laboratory with advanced technology as part of developing the department’s learning environment.
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