Information Retrieval - Syllabus

An overview of computers and their significance in today's world. This topic sets the stage for understanding the basics of computers.

Understanding the difference between digital and analog computers, their characteristics, and applications.

Exploring the key characteristics of computers, including input, processing, storage, and output.

A brief history of computers, from their inception to the present day, highlighting key milestones and developments.

Understanding the different generations of computers, including their features, advantages, and limitations.

Categorizing computers based on their size, functionality, and application, including desktops, laptops, and mobile devices.

An in-depth look at the components of a computer system, including hardware and software.

This topic covers the different types of statistical hypotheses, including null and alternative hypotheses, and their roles in hypothesis testing.

This topic explains the concept of power of the test, p-value, and its use in decision making during hypothesis testing.

This topic outlines the steps involved in testing a hypothesis, from formulating the hypothesis to making a decision based on the test results.

This topic covers one sample tests for the mean of a normal population, including tests for known and unknown variance.

This topic explains how to conduct a test for a single proportion, including the test statistic and p-value calculation.

This topic covers the test for the difference between two means, including the test statistic and p-value calculation.

This topic explains how to conduct a test for the difference between two proportions, including the test statistic and p-value calculation.

This topic covers the paired sample t-test, including its application and interpretation.

This topic explains the relationship between confidence intervals and hypothesis testing, including how to use confidence intervals to make inferences about a population.

Inverted indices are data structures used to store and retrieve information efficiently. They consist of a list of words and their corresponding document frequencies.

A positional inverted index is a type of inverted index that stores the position of each word in a document. This allows for more efficient phrase querying and proximity searching.

Natural Language Processing (NLP) is a subfield of artificial intelligence that deals with the interaction between computers and human language. In information retrieval, NLP is used to improve the understanding and retrieval of text data.

Basic NLP tasks include Part-of-Speech (POS) tagging and shallow parsing. These tasks are used to analyze and understand the structure and meaning of text data.

Memory Read operation involves retrieving data from memory locations. It is a fundamental operation in microprocessor-based systems.

Memory Write operation involves storing data in memory locations. It is a crucial operation in microprocessor-based systems.

I/O Read operation involves retrieving data from input/output devices. It enables the microprocessor to interact with the external environment.

I/O Write operation involves sending data to input/output devices. It enables the microprocessor to interact with the external environment.

Direct Memory Access (DMA) is a technique that allows peripheral devices to access system memory directly, reducing the microprocessor's workload.

An interrupt is a signal to the microprocessor that an event has occurred, requiring immediate attention. It enables the microprocessor to handle asynchronous events.

There are different types of interrupts, including maskable and non-maskable interrupts, which vary in their priority and handling by the microprocessor.

Interrupt Masking is a technique that enables the microprocessor to temporarily ignore or mask interrupts, allowing it to focus on high-priority tasks.

Non-overlapping lists are used in some retrieval models to improve the efficiency of retrieval by reducing the number of documents to be ranked.

The proximal nodes mode is a retrieval model that uses the proximity of terms in a document to improve the retrieval of relevant documents.

Understanding the concept of event handling in Java, including the role of listeners and event sources. This topic lays the foundation for handling events in Java applications.

Exploring the different listener interfaces in Java, including their methods and usage. This topic covers the interfaces that must be implemented to handle events.

Learning how to use action commands to handle events, including setting and getting action commands. This topic covers the basics of using action commands in event handling.

Understanding the role of adapter classes in event handling, including their usage and benefits. This topic covers how adapter classes simplify event handling.

Handling action events, including button clicks and other actions. This topic covers the specifics of handling action events in Java applications.

Handling key events, including key presses and releases. This topic covers the specifics of handling key events in Java applications.

Concept of query processing, including the steps involved in processing a query and the role of the query processor.

Query trees and heuristics for query optimization, including the use of query trees to represent queries and heuristics to guide optimization.

Choice of query execution plans, including the factors that influence the choice of plan and the importance of plan selection.

Cost-based optimization, including the use of cost estimates to guide optimization and the role of cost-based optimization in query processing.

Understanding the working principle of search engines, including their architecture and functionality.

Exploring the structure and algorithms of spiders, including simple and multithreaded approaches, and their role in web crawling.

Learning about topic-directed and link-directed spidering techniques, and their applications in web search.

Understanding the basic architecture and functionality of crawlers in web search.

Studying link analysis techniques, including HITS and PageRank, and their role in ranking web pages.

Analyzing query logs to understand user behavior and improve search engine performance.

Exploring techniques for handling the 'invisible' web, including snippet generation and CLIR (Cross Language Information Retrieval).

This topic covers the different types of statistical hypotheses, including null and alternative hypotheses, and their roles in hypothesis testing.

This topic explains the concept of power of the test, p-value, and its use in decision making during hypothesis testing.

This topic outlines the steps involved in testing a hypothesis, from formulating the hypothesis to making a decision based on the test results.

This topic covers one sample tests for the mean of a normal population, including tests for known and unknown variance.

This topic explains how to conduct a test for a single proportion, including the test statistic and p-value calculation.

This topic covers the test for the difference between two means, including the test statistic and p-value calculation.

This topic explains how to conduct a test for the difference between two proportions, including the test statistic and p-value calculation.

This topic covers the different types of statistical hypotheses, including null and alternative hypotheses, and their roles in hypothesis testing.

This topic explains the concept of power of the test, p-value, and its use in decision making during hypothesis testing.

This topic outlines the steps involved in testing a hypothesis, from formulating the hypothesis to making a decision based on the test results.

This topic covers one sample tests for the mean of a normal population, including tests for known and unknown variance.

This topic explains how to conduct a test for a single proportion, including the test statistic and p-value calculation.

This topic covers the test for the difference between two means, including the test statistic and p-value calculation.

Learn how to design relational databases using ER-to-relational mapping, including mapping of regular entities, weak entities, relationship types, multivalued attributes, and N-ary relationships.

Understand informal design guidelines for relational schemas, including semantics of attributes in relations, redundant information in tuples and update anomalies, NULL values in tuples, and generation of spurious tuples.

Study functional dependencies, including definition, inference rules, Armstrong's axioms, attribute closure, equivalence of functional dependencies, and minimal sets of functional dependencies.

Concept of query processing, including the steps involved in processing a query and the role of the query processor.

Query trees and heuristics for query optimization, including the use of query trees to represent queries and heuristics to guide optimization.

Choice of query execution plans, including the factors that influence the choice of plan and the importance of plan selection.

Cost-based optimization, including the use of cost estimates to guide optimization and the role of cost-based optimization in query processing.

This topic covers the metrics and methods used to measure the performance of queuing systems, including efficiency, effectiveness, and quality of service.

This topic explores the concept of networks of queuing systems, with a focus on computer systems and their applications.

This topic highlights the various applications of queuing systems in real-world scenarios, including manufacturing, healthcare, and transportation.

This topic covers the concepts of active databases, including triggers, and their applications in advanced database systems.

This topic explores the concepts and techniques of temporal databases, which manage time-varying data and support temporal queries.

This topic introduces the concepts and techniques of spatial databases, which manage spatial data and support spatial queries and analysis.

This topic covers the concepts and techniques of multimedia databases, which manage multimedia data such as images, audio, and video.

This topic explores the concepts and techniques of deductive databases, which use logical rules to derive new information from existing data.

This topic provides an introduction to the concepts and techniques of information retrieval and web search, including indexing, querying, and ranking.

Multitasking in 80286 architecture allows multiple tasks to run concurrently, improving system performance and responsiveness.