Information Retrieval Course Outline
Module 1: Introduction to Information Retrieval
Week 1: Fundamentals of Information Retrieval
Definition and Importance of Information Retrieval
History and Evolution of Information Retrieval Systems
Key Concepts: Indexing, Retrieval, Ranking
Week 2: Information Retrieval Models
Boolean Retrieval Model
Vector Space Model
Probabilistic Models
Module 2: Text Processing and Indexing
Week 3: Text Processing Techniques
Text Preprocessing: Tokenization, Stemming, Lemmatization
Stop Words Removal
Text Normalization and Cleaning
Week 4: Indexing Methods
Inverted Index Construction
Index Compression Techniques
Index Maintenance and Updating
Module 3: Search and Retrieval Techniques
Week 5: Query Processing
Query Types and Structures
Query Expansion and Refinement
Query Optimization Techniques
Week 6: Ranking and Scoring
Scoring Functions and Ranking Algorithms
Term Frequency-Inverse Document Frequency (TF-IDF)
Cosine Similarity and BM25
Module 4: Evaluation of Information Retrieval Systems
Week 7: Evaluation Metrics
Precision, Recall, and F1-Score
Mean Average Precision (MAP) and Discounted Cumulative Gain (DCG)
Receiver Operating Characteristic (ROC) Curves
Week 8: Experimental Evaluation
Test Collections and Benchmarks
User Studies and Feedback
A/B Testing for IR Systems
Module 5: Advanced Information Retrieval
Week 9: Relevance Feedback and Personalization
Relevance Feedback Techniques
Personalized Search and User Profiles
Collaborative Filtering and Recommendation Systems
Week 10: Multimedia Information Retrieval
Image Retrieval Techniques
Audio and Video Retrieval
Cross-Modal Retrieval
Module 6: Web Information Retrieval
Week 11: Web Search Engines
Architecture of Web Search Engines
Crawling and Indexing the Web
Link Analysis: PageRank and HITS
Week 12: Search Engine Optimization (SEO)
Principles of SEO
On-Page and Off-Page SEO Techniques
SEO Best Practices and Tools
Module 7: Information Retrieval Applications
Week 13: Enterprise Search
Challenges in Enterprise Search
Enterprise Search Solutions
Case Studies: Google Workspace, Microsoft SharePoint
Week 14: Social Media and Information Retrieval
Information Retrieval on Social Media Platforms
Sentiment Analysis and Opinion Mining
Hashtag and Trend Analysis
Module 8: Future Trends in Information Retrieval
Week 15: Natural Language Processing and IR
NLP Techniques in Information Retrieval
Question Answering Systems
Chatbots and Conversational Agents
Week 16: Machine Learning and Deep Learning for IR
Machine Learning Models for IR
Neural Information Retrieval
Transformer Models and BERT
Module 9: Capstone Project
Week 17-18: Final Project
Planning and Designing an Information Retrieval System
Implementation and Testing
Final Presentation and Feedback
Course Wrap-Up
Review of Key Concepts and Techniques
Future Learning Paths and Career Opportunities in Information Retrieval
Course Conclusion and Certificate of Completion
Admission Open for this course
Contact Number: 03307615544