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Week - 1 |
Introduction to Data and Text Mining, Research Problems and Current Trends |
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Week - 2 |
Data Preprocessing, Cleaning, Transformation and Feature Engineering |
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Week - 3 |
Advanced Classification and Clustering Methods in Data Mining |
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Week - 4 |
Dimensionality Reduction, Representation Learning and Feature Selection |
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Week - 5 |
Text Preprocessing, Word Representations and Vector Space Models |
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Week - 6 |
Information Retrieval Systems and Text Indexing Techniques |
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Week - 7 |
Text Classification and Document Clustering Methods |
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Week - 8 |
Topic Modeling, Latent Semantic Analysis and Topic Modeling Approaches |
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Week - 9 |
Deep Learning-Based Text Mining Methods |
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Week - 10 |
Transformer Architectures, BERT and Large Language Models |
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Week - 11 |
Social Media Analytics, Sentiment Analysis and Opinion Mining |
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Week - 12 |
Graph-Based Data and Text Mining Approaches |
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Week - 13 |
Explainable, Privacy-Preserving and Distributed Data Mining Approaches |
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Week - 14 |
Student Seminars, Paper Presentations and Research Project Evaluations |
Eskisehir Technical University Info Package