Information Retrieval provides a strong grounding in the fundamentals of organizing on-line information, multimedia warehouses, Web search/crawling and digital libraries. Topics include: Introduction to Information Retrieval, Boolean Retrieval, Dictionaries and Tolerant Retrieval, Index Construction, Dynamic Index Construction, Index Compression, The Vector Space Model, Scoring in the Vector Space Model, Information Retrieval Evaluation, Web Search, Web Crawling, Link Analysis, Flat Clustering, Hierarchical Clustering, Relevance Feedback, Query Expansion, New Research in Information Retrieval, Student Project.
Intended learning outcomes
Knowledge &understand
To understand how Information Retrieval provides a strong grounding in the fundamentals of organizing on-line information, multimedia warehouses, Web search/crawling and digital libraries.
To deal with Information Retrieval models, Boolean Retrieval, Dictionaries and Tolerant Retrieval, Index Construction, Dynamic Index Construction, Index Compression, The Vector Space Model, Scoring in the Vector Space Model, Information Retrieval Evaluation, Web Search, Web Crawling, Link Analysis, Flat Clustering, Hierarchical Clustering, Relevance Feedback, Query Expansion, New Research in Information Retrieval, Student Project.
mental skills
Providing design and implementation solutions
Understand the opportunities that virtual computing service provision models, such as IRS and search engines.
Configure simple solutions in IRs
Practical & professional skills
Maximize the impacts of IRs in the digitalized systems
Understand how IRs components are organized into a solution in different organizational environments
Apply the core concepts underlying IRs to solve simple problems, including search engines
General and transferable skills
Maximize the impacts of IRs in the digitalized systems
Understand how IRs components are organized into a solution in different organizational environments
Apply the core concepts underlying IRs to solve simple problems, including search engines
Teaching and learning methods
Lectures
Tutorials
Problem-based learning
Mini-projects
Methods of assessments
Midterm exam = 30
Final exam = 60
Home Works = 5
Project = 5
Course contents
What Is Information and What Is Information Retrieval, How Does Information Retrieval Work?
