Admission Open

Information Retrieval Course in Mianwali

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

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