TEACHING
University Courses
Bridging theory and practice for students and professionals.
Ahmed Ebada has taught a broad portfolio of undergraduate and graduate courses across computer science, information systems, artificial intelligence, software engineering, and digital business — at FOM München, SRH University of Applied Sciences, and Damietta University.
Foundations and Systems
- Mathematics
- Algorithms
- System Analysis and Design
- Advanced System Analysis and Design
- Computer Architecture and Organization
- Signals and Systems
- Information Retrieval
- Database Systems
- Database Modeling
- IT Essentials
AI and Data
- Artificial Intelligence
- Machine Learning
- Computational Intelligence
- Software Analytics
- Big Data
- Analytical Software and Frameworks
- Cyber Security
Software and Programming
- Programming
- Advanced Programming
- Web Development
- Cloud-Based Mobile Apps
- Business Programming
Management and Digital Business
- Management Information Systems
- Engineering Management
- Project Management
- Agile Management
- Entrepreneurship
- Digital Marketing
- Global E-Commerce Trends
- Digital Transformation
TEACHING PHILOSOPHY
Learning by Doing, Guided by Research
Prof. Dr. Ebada believes that effective teaching goes beyond transmitting knowledge — it must inspire curiosity, build confidence, and connect theory to real-world practice. His classrooms are designed as collaborative environments where students actively engage with problems, tools, and industry scenarios.
Drawing on over 15 years of academic and industry experience across Germany and Egypt, he integrates current research findings, hands-on projects, and transparent assessment criteria to prepare graduates for careers in technology, management, and entrepreneurship.
Interactive & Student-Centered
Active participation, discussions, and peer learning replace passive lectures wherever possible.
Hands-On & Project-Based
Students build real systems, prototypes, and case studies that mirror professional workflows.
Transparent Assessment
Clear rubrics, fair grading, and constructive feedback support measurable learning outcomes.
Research-Oriented Curiosity
Current publications and open problems are woven into coursework to nurture scientific thinking.
Flexible & Inclusive
Diverse backgrounds and learning styles are accommodated through adaptive methods and mentorship.
