Teaching

Teaching Experience

Taught the following courses:

1. Introduction to Artificial Intelligence
   • Course: Bachelors 2nd Year
   • Number of Students: 60
   • Key Topics Covered: Fundamentals of AI, Machine Learning basics, Neural Networks, and AI applications.
   • Teaching Approach: Engaging lectures, hands-on programming exercises, and real-world examples to develop a solid foundation in AI concepts.
2. Information Retrieval
   • Course: Bachelors 3rd Year
   • Number of Students: 90
   • Key Topics Covered: Information retrieval techniques, indexing, ranking algorithms, query processing, and evaluation metrics.
   • Teaching Approach: Interactive lectures, practical assignments, and projects to enhance students' understanding of information retrieval principles and algorithms.
3. Advanced Information Retrieval
   • Course: Master 1st Year
   • Number of Students: 30
   • Key Topics Covered: Advanced concepts in information retrieval, including web search, text mining, natural language processing, and recommendation systems.
   • Teaching Approach: In-depth discussions, research-oriented projects, and exploring state-of-the-art techniques to equip students with advanced skills in information retrieval.