Olivet University IT summer course Information Storage and Retrieval I content early reveal

COURSE DESCRIPTION:

With the advent of Internet, the sheer amount of information has been increasing greatly, which requires automated retrieval techniques to be effective and efficient. This course covers such techniques, some of which have been evolving for the past decades and others having been around only since the introduction of the Web. The main topic areas are: analysis of text and storage of its content; ranking, query processing and retrieval models; evaluations; classification and clustering; and more contemporary issues such as social search and object search.


RELATION TO THE COLLEGE STATEMENT OF MISSION:


The course will be useful to the ministry like, a Christianity or the bible service ministry where the techniques such as server-based automatic crawling and SEO(Search Engine Optimization) using the ranking algorithm of the search engine for any marketing purpose are needed. And also to the Christian portal service ministry where search results should be provided in a short time to the users, from the various contents including text information.



COURSE OBJECTIVES:

Upon completing this course, students should have a reasonable level of confidence in:
(1) understanding the essential problems of information storage & retrieval and standard solutions
(2) building a simple search engine or a significant component of a realistic retrieval system
(3) designing a new algorithm or system by utilizing and extending existing techniques


COURSE PREREQUISITES:

The minimal requirements would be: experience in java programming, and the knowledge of data structures or algorithms.

The courses to be helpful to understand this course are: natural language processing, machine learning, artificial intelligence, and statistics.


COURSE TEXTBOOKS:

Required Textbook:
Chris. D. Manning, P. Raghavan, and H. Schutze, Introduction to Information Retrieval,Cambridge University Press


COURSE SCHEDULE:

Week  Topic
Week 1 Introduction
Week 2  Indexing / Storage Structure
Week 3 Vector Space Model and Term Weighting
Week 4 Evaluation
Week 5 Relevance Feedback & Query Expansion
Week 6 Final Exam

http://oit.olivetuniversity.edu/