COURSE UNIT TITLE

Offered By

Computer Science

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR EFENDI NASIBOĞLU

Offered to

Computer Science

Course Objective

In this course, Introduction to Text and Web Mining, queries and documents, document preprocessing, word distributions, vectorization, automatic indexing/tagging, sentence matching, social network analysis, natural language processing, deep learning-based models, large language models will be explained.

Learning Outcomes of the Course Unit

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Recomended or Required Reading

Textbook(s):
Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze, An Introduction to Information Retrieval, Cambridge University Press, 2009.
Supplementary Book(s):
Song, M., Handbook of Research on Text and Web Mining Technologies, Volume I-II, Y-F. B. Wu, 2007.
Jurafksy, D., Martin, J. H.., An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, 3rd ed., Stanford University, 2022.

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. Besides the taught lecture, group presentations are to be prepared by the groups assigned and presented in a discussion session. In some weeks of the course, results of the homework given previously are discussed.

Assessment Methods

Further Notes About Assessment Methods

None

Assessment Criteria

Assignment: 30%
Midterm exam: 30%
Final exam: 40%

Language of Instruction

Turkish

Course Policies and Rules

Students will come to the class in time. Attending the 70% of the classes are mandotary.

Contact Details for the Lecturer(s)

efendi.nasibov@deu.edu.tr

Office Hours

Will be announced.

Work Placement(s)

None

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes