Teaching

Master (MSc.) Coordinator 

• Big Data Analytics & Smart Systems (BDSaS), Academic Period: 2021-2024 

Program Structure and Courses (PDF)

Courses

• Graduate Programs (Master of Science, Engineer programs)

-    Large Language Models & Generative Artificial Intelligence

-    Web Mining & Text Mining

-    Semantic Web & Ontologies; Recommender Systems; Social Media Analytics

-    Information Retrieval Models

-    Deep Learning

-    Interoperability & Data Exchange; Distributed Architectures/Service Oriented Architectures

-    Web services

-    Jakarta Enterprise Edition (JEE)

-    Design patterns

-    Multi-agent Systems

• Undergraduate Programs (Bachelor of Science)

-    Web Technologies: Front-end & Back-end Technologies

-    Object Oriented Programming

-    Java Programming (Java Standard Edition)

-    Mobile Application Development

-    Unified Modeling Language (UML)

-    Introduction to Data Science & Python Programming

-    Data Structures

-    C programming Language

-    Analysis of Algorithms

-    Databases & Information Systems

• Slides for Some Courses 

  • Large Language Models: Overview (Talk-FSDM-2025, Slides-v2, Slides, Video Lecture, Notebook, Kaggle Competition)

  • Web Mining: Overview (Slides, Kaggle InClass Competition)

  • Page Rank Algorithm (Slides)

  • Conceptual Foundations of Text Mining and Preprocessing Steps (Slides)

  • Information Retrieval Models, Word2Vec, Evaluation measures (Slides)

  • Topic modeling: LDA (Slides)

  • Recommender systems (Slides, 2, 3, Competition/challenge website)

  • Web Services

    • SOAP Web Services (Slides)

    • REST Web Services (Slides) 

    • Project (Requirements)

  • Jakarta EE

    • servlet-hands-on-1

    • Jakarta EE Overview (Slides)

  • Java EE

    • Introduction to Java EE (Slides)

  • Design Patterns (Slides)

  • Semantic Web (Slides)

  • XML:

    • XML-part 1 (PDF )

  • HTML 5 (Slides)

  • CSS (Slides)