COIS442 SYLLABUS

 

 

Course Number :

COIS 442

Name :

Foundations on IR

Credits :

3

Contact Hours :

42 Hrs Lecture

 

Course Coordinator’s Name :GHADEER ALDWEIK

 

 

 

Text Book :

Introduction to Information Retrieval by Manning C., Raghavan, P., Schütze, H. 1st Edition, Cambridge University Press, 2008.

 

Other References :

T., Search Engines: Information Retrieval in Practice by Croft, B., Metzler, D., Strohman, T., 1st Edition, Addison Wesley, 2009.

 

Modern Information Retrieval by Baeza-Yates, Ricardo &Ribeiro-Neto, Berthier.,2nd Edition,Addison-Wesley, 2011.

 


Specific Course Information

 

a. Synopsis :

This course will provide the students the basic ideas of IR, evaluation, retrieval models, statistical characteristics of text, indexing models (storing and accessing), file organization, efficiency, possibly including compression, clustering, document filtering, distributed retrieval, multimedia retrieval and information extraction.

 

b.Prerequisites :

COIS 412- Enterprise Architecture

 

c.Type of Course :

Elective Course

 

 

 

Course Learning Outcomes (CLO)

 

 

  1. Techniques behind Web search engines, E-commerce recommendation systems, etc. CRETIRION B

  2. Hands on experience by developing real-world applications. CRETIRION C

  3. Tools and techniques to do cutting-edge research in the area of information retrieval or text mining.  CRETIRION I

  4. Open the door to the amazing job opportunities in Search Technology and E-commerce companies such as Google and Yahoo. CRETIRION C

    Course Relationship to Key Student Outcomes

     

A

B

C

D

E

F

G

H

I

J

X

X

 

 

 

 

X

 

Course Topics and Their Duration

Number

Description

Duration in weeks

1

Fundamentals of Information Retrieval theories

1

2

Information Retrieval Evaluation

1

3

Term similarity and relevance feedback

1

4

Retrieval models

1

5

Text categorization

1

6

Statistical characteristics of text

1

7

Indexing models (storing and accessing)

1

8

File organization

1

9

Efficiency, possibly including compression

1

10

Clustering

1

11

Document filtering

1

12

Distributed retrieval

1

13

Web search, Multimedia retrieval

1

14

Information extraction

1

 

Class Schedule

Meet 50 minutes 3 times/week or 80 minutes 2 times/week

 

 

 
Last Update
12/4/2016 8:38:12 AM