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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Text Mining BLM609 Elective Doctorate degree 1 Fall 8

Name of Lecturer(s)

Prof. Dr. Sevinç İLHAN OMURCA
Associate Prof. Dr. Hakan GÜNDÜZ

Learning Outcomes of the Course Unit

1) Apply data mining techniques
2) Evaluate the text mining principles
3) Carry out text preprocessing
4) Use vektor space model
5) Apply Latent Semantic Analysis

Program Competencies-Learning Outcomes Relation

  Program Competencies
1 2 3 4 5 6 7 8 9 10 11 12
Learning Outcomes
1 Low High High No relation No relation No relation No relation No relation No relation No relation No relation No relation
2 Low Middle Middle No relation No relation No relation No relation No relation No relation No relation No relation No relation
3 Low Middle Middle No relation No relation No relation No relation No relation No relation No relation No relation No relation
4 High High High No relation No relation No relation No relation No relation No relation No relation No relation No relation
5 High High High No relation No relation No relation No relation No relation No relation No relation No relation No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

Not Required

Course Contents

Datamining Text mining Text preprocessing

Recommended or Required Reading

Planned Learning Activities and Teaching Methods

1) Lecture
2) Lecture
3) Lecture
4) Question-Answer
5) Discussion
6) Discussion
7) Self Study
8) Self Study
9) Self Study
10) Project Based Learning
11) Project Based Learning


Assessment Methods and Criteria

Contribution of Project to Course Grade

70%

Contribution of Final Examination to Course Grade

30%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required