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Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS YBS 3034 DATA MINING AND INFORMATION EXTRACTION COMPULSORY 3 0 0 5

Offered By

Management Information Systems

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR VAHAP TECIM

Offered to

Management Information Systems

Course Objective

To introduce students to basic practices, concepts and techniques related to data mining, to have knowledge about how data will be collected and classified, and how data can be analyzed through collected data.

Learning Outcomes of the Course Unit

1   Simple and inexplicable, unpredictable and useful patterns or the removal of information from a large amount of data 2   To learn data collection, classification, storage algorithms 3   To be able to approach data mining as a process 4   Specialize in data mining software 5   Using data mining methods in problem solving

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description 1 Introduction to data mining 2 Data Cleaning and Preparation Techniques 3 Data Warehouse 4 Statistical Methods in Data mining 5 Data Classification Methods 6 Data Classification Methods 7 Data Classification Methods (Neural Networks) 8 Data Prediction Techniques (Strengthened learning) 9 Data Clustering Techniques 10 Text Mining 11 Web Mining, Social Networks 12 Sectoral Data Mining Examples 13 Sectoral Data Mining Examples 14 Applications with data mining techniques

Recomended or Required Reading

Veri Madenciliği Yöntemleri ve R Uygulamaları - Bülent Altunkaynak - Seçkin Yayıncılık Data Veri Madenciliği - Veri Analizi - Prof. Dr. Haldun Akpınar- Papatya Yayıncılık

Planned Learning Activities and Teaching Methods

Events are in 'Assessment Methods' and 'Workload Calculation' section detaily.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA 1 MTE MIDTERM EXAM 2 MTEG MIDTERM GRADE MTEG * 1 3 FIN FINAL EXAM 4 FCGR FINAL COURSE GRADE MTEG * 0.40 + FIN * 0.60 5 RST RESIT 6 FCGR FINAL COURSE GRADE (RESIT) MTEG * 0.40 + RST * 0.60

Further Notes About Assessment Methods

None

Assessment Criteria

Students will undergo two exams, one mid-term and one final.

Language of Instruction

Turkish

Course Policies and Rules

The rules implemented by the department apply.

Contact Details for the Lecturer(s)

Dokuz Eylül Üniversitesi - I.I.B.F. Yönetim Bilişim Sistemleri Bölümü - Dokuzçeşmeler Kampüsü - Buca - IZMIR 35160

Office Hours

It will be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours) Lectures 14 3 42 Preparations before/after weekly lectures 14 4 56 Preparation for midterm exam 1 10 10 Preparation for final exam 1 15 15 Final 1 1 1 Midterm 1 1 1 TOTAL WORKLOAD (hours) 125

Contribution of Learning Outcomes to Programme Outcomes

PO/LO PO.1 PO.2 PO.3 PO.4 PO.5 PO.6 PO.7 PO.8 PO.9 PO.10 PO.11 PO.12 PO.13 LO.1 5 5 5 LO.2 5 5 5 LO.3 5 5 LO.4 5 5 5 LO.5 5 5