VERİ VE METİN MADENCİLİĞİ DERS TANITIM VE UYGULAMA BİLGİLERİ

Kodu	Dersin Adı	Yarıyıl	Süresi(T+U)	Kredisi	AKTS Kredisi
IBY324	VERİ VE METİN MADENCİLİĞİ	6	4	2	8

DERS BİLGİLERİ
Dersin Öğretim Dili :	Türkçe
Dersin Düzeyi	BACHELOR'S DEGREE, TYY: + 6.Level, EQF-LLL: 6.Level, QF-EHEA: First Cycle
Dersin Türü	Zorunlu
Dersin Veriliş Şekli	-
Dersin Koordinatörü	Prof. ORHAN İŞCAN
Dersi Veren Öğretim Üyesi/Öğretim Görevlisi
Ders Ön Koşulu	Yok

AMAÇ VE İÇERİK
Amaç:	This course aims to introduce and promote the use of data mining. This course aims to gain the ability to analyze large-scale databases.
İçerik:	Contents of the course include the subjects such as basics of data mining in terms of statistical, machine learning and database. The course consists of three sections. The first section is about the basics of statistics and machine learning approach for data mining. In section two, basic data mining and algorithms for Online Analytical Processing, relationship rules and grouping will be covered. The third and last section of the course focuses on researches in areas such as text mining, association filter, link analysis.

DERSİN ÖĞRENME ÇIKTILARI (Öğrenciler, bu dersi başarı ile tamamladıklarında aşağıda belirtilen bilgi, beceri ve/veya yetkinlikleri gösterirler.)
Use data mining software.
Describe basket analysis and rules of association.
Apply grouping algorithms on cases.
Analyze classification algorithms.
Conclude from the analysis results of classification algorithms.

HAFTALIK DERS KONULARI VE ÖNGÖRÜLEN HAZIRLIK ÇALIŞMALARI
Hafta	Ön Hazırlık	Konular	Yöntem
1	-	Introduction and general concepts	Lecture, Discussion, Practice
2	Literature Reading	Fields of application of data mining	Lecture, Discussion, Practice
3	Literature Reading	Introducing ready programs in data mining- Electronic statement programs in data mining	Lecture, Discussion, Practice
4	Literature Reading	Preparing the data for analysis (steps)	Lecture, Discussion, Practice
5	Literature Reading	OLAP	Lecture, Discussion, Practice
6	Literature Reading	Classification and clustering	Lecture, Discussion, Practice
7	Literature Reading	Decision Trees	Lecture, Discussion, Practice
8	-	MID-TERM EXAM	-
9	Literature Reading	Statistics in data mining	Lecture, Discussion, Practice
10	Literature Reading	Artificial intelligence in data mining	Lecture, Discussion, Practice
11	Literature Reading	Artificial neural networks in data mining	Lecture, Discussion, Practice
12	Literature Reading	Association rules	Lecture, Discussion, Practice
13	Literature Reading	Other mining techniques in data mining - Web and text mining	Lecture, Discussion, Practice
14	Literature Reading	Case Studies	Lecture, Discussion, Practice
15	Literature Reading	Industrial applications in data mining	Lecture, Discussion, Practice
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

KAYNAKLAR
Ozkan, Y. (2016). Veri Madenciligi, Istanbul: Papatya.
Oguzlar, A. (2011). Temel Metin Madenciligi, Dora.
Tan, P., Steinbach, M., Kumar, V. (2005). Introduction to Data Mining, Pearson Edition.

ÖLÇME VE DEĞERLENDİRME
Yarıyıl İçi Yapılan Çalışmaların Ölçme ve Değerlendirmesi	Etkinlik Sayısı	Katkı Yüzdesi	Açıklama

(0) Etkisiz	(1) En Düşük	(2) Düşük	(3) Orta	(4) İyi	(5) Çok İyi
0	1	2	3	4	5

KNOWLEDGE
Theoretical
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Interpret the basic concepts, theories and approaches of business information management, programming and management information systems.						5
2	Explain concepts related to field by associating them with information systems and programming languages.					4

KNOWLEDGE
Factual
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Explain current information about the field with information and communication theories.						5
2	Relate the information and facts about his/her field with other areas of social sciences.					4

SKILLS
Cognitive
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Prepare the technical infrastructure and content of information management in businesses.						5
2	Integrate the theoretical knowledge about the field into today's technology					4

SKILLS
Practical
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Apply the programming languages for the functioning of business.						5
2	Interpret the theoretical and practical information they obtained in their field.					4

OCCUPATIONAL
Autonomy & Responsibility
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Fulfill his/her duties and responsibilities related to the solution of problems arising in enterprises.						5
2	Conducts projects related with his/her field.						5

OCCUPATIONAL
Learning to Learn
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Integrate the technical information and approaches about his/her field to business management information processes.						5
2	Research on scientific, sectoral developments and innovations related to the field with lifelong learning as a principle.					4

OCCUPATIONAL
Communication & Social
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Cooperates with stakeholders in order to generate new ideas.					4
2	Organize projects and activities for the social environment with social responsibility consciousness and to be able to apply those.					4

OCCUPATIONAL
Occupational and/or Vocational
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Students will be able to apply knowledge and skills related to his / her field by taking into account his legal, social and ethical responsibilities.					4
2	Write programs by using the programming languages related with his/her field.						5

DERSİN İŞ YÜKÜ VE AKTS KREDİSİ
Öğrenme-Öğretme Etkinlikleri İş Yükü
Öğrenme-Öğretme Etkinlikleri	Etkinlik(hafta sayısı)	Süresi(saat sayısı)	Toplam İş Yükü
Lecture & In-Class Activities	14	3	42
Preliminary & Further Study	13	6	78
Land Surveying	0	0	0
Group Work	0	0	0
Laboratory	0	0	0
Reading	0	0	0
Assignment (Homework)	0	0	0
Project Work	0	0	0
Seminar	0	0	0
Internship	0	0	0
Technical Visit	0	0	0
Web Based Learning	0	0	0
Implementation/Application/Practice	0	0	0
Practice at a workplace	0	0	0
Occupational Activity	0	0	0
Social Activity	0	0	0
Thesis Work	0	0	0
Field Study	0	0	0
Report Writing	0	0	0
Final Exam	1	1	1
Preparation for the Final Exam	6	7	42
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	7	6	42
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	42	0	206