VERİ MADENCİLİĞİ DERS TANITIM VE UYGULAMA BİLGİLERİ

Kodu	Dersin Adı	Yarıyıl	Süresi(T+U)	Kredisi	AKTS Kredisi
YEM406	VERİ MADENCİLİĞİ	8	3	3	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	Assist.Prof. TAYLAN MARAL
Dersi Veren Öğretim Üyesi/Öğretim Görevlisi
Ders Ön Koşulu	Yok

AMAÇ VE İÇERİK
Amaç:	This course aims to teach the students Data Mining Concepts, Data Preparation Techniques, Statistical Learning Theory (Naive Bayes), Clustering Methods (K-Means, hierarchical), Decision Trees and Decision Rules, Association Rules under the new media environment and the acquis.
İçerik:	Contents of the course include the subjects such as finding and discovering useful information in the new media environment in accordance with the purpose of data mining, describing the current situation using the information discovered and predicting future occurrences.

DERSİN ÖĞRENME ÇIKTILARI (Öğrenciler, bu dersi başarı ile tamamladıklarında aşağıda belirtilen bilgi, beceri ve/veya yetkinlikleri gösterirler.)
Understand the basic concepts of data mining.
List data mining methods such as clustering, classification, association.
Apply the data mining.
Analyse the data imported from the source.

HAFTALIK DERS KONULARI VE ÖNGÖRÜLEN HAZIRLIK ÇALIŞMALARI
Hafta	Ön Hazırlık	Konular	Yöntem
1	Literature Review	Introduction to Data Mining	Lecture
2	Literature Review	New Media and Data Mining Relation	Lecture
3	Literature Review	Computer Systems and Data Mining	Lecture
4	Literature Review, Using Visual Sources	Data Mining Applications	Lecture
5	Literature Review	Introduction to Data Mining Algorithms	Lecture
6	Literature Review, Using Visual Sources	Flow-charting	Lecture
7	Literature Review	Basic Concepts in data communications	Lecture
8	-	MID-TERM EXAM	-
9	Literature Review	Introduction to Programming Languages	Lecture
10	Literature Review, Using Visual Sources, Using Applications	Introduction to Database and Management	Lecture
11	Using Visual Sources, Using Applications	Usage of Software Tools in Computer Labs	Demonstrating on Computer Programme
12	Using Visual Sources, Using Applications	Introduction to Programming Languages	Demonstrating on Computer Programme
13	Using Visual Sources, Using Applications	Mathematical process in programming language, controls and cycles	Demonstrating on Computer Programme
14	Using Visual Sources, Using Applications	Base-Calling Algorithms	Lecture & Demonstrating on Computer Programme
15	Using Visual Sources, Using Applications	Processing Algorithms	Lecture & Demonstrating on Computer Programme
16	-	FINAL EXAM	-
17	-	FINAL EXAM	-

KAYNAKLAR
Silahtaroglu G. (2016). Veri Madenciligi Kavram ve Algoritmaları. Istanbul: Papatya Bilim
Karacan H., Yesilbudak M. (2010). Kullanici Merkezli Interaktif Veri Madenciligi: Bir Literatur Taramasi. Ankara: Bilisim Teknolojileri Dergisi
Zaki M. J., Wagner M. J. (2014). Data Mining and Analysis: Fundamental Concepts and Algorithms. Cambridge: Cambridge University Press

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	List the history of communication, mass media, communication theories and leading theorists.	0
2	List the historical, social and cultural types of communication and explain the related concepts.		1
3	Define the important points of the history and theories of communication through daily life practices and social life.		1

KNOWLEDGE
Factual
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Compare the traditional media and new media economic policies.		1
2	Interpret digital culture with constantly updated and self-renewing topics.				3
3	Interpret the technical, socio-political and legal aspects of cyber security issues in the field of new media.				3

SKILLS
Cognitive
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Define the basic concepts of communication history, communication theories, traditional and new media channels.		1

SKILLS
Practical
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Prepare web pages with CSS codes.		1
2	Produce creative content in new media environments, create an image and sound and practical studies about programming.		1
3	Analyze the sub-texts and their semantics of the studies presented to the society by mass media.			2
4	Use qualitative and quantitative elements to construct arguments on studies in the field of communication.					4

OCCUPATIONAL
Autonomy & Responsibility
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Manage social media accounts of brands, corporate firms and public institutions thanks to its advanced knowledge in content production and user experience.		1

OCCUPATIONAL
Learning to Learn
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Review local and foreign studies in the field of New Media. Creates innovative works in his/her field.			2
2	Criticize the effects of social media activities on socio-political field.			2

OCCUPATIONAL
Communication & Social
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Plan scientific studies in any area that can be encountered in different disciplines and transfer them to people from different disciplines.				3
2	Determine how much of the content produced by the media is right and wrong.					4

OCCUPATIONAL
Occupational and/or Vocational
	Program Yeterlilikleri/Çıktıları	Katkı Düzeyi
		0	1	2	3	4	5
1	Follows the developments that have begun to guide the present and the future such as "Software". Produce various software products for different sectors.		1
2	Design using new architectures of big data processing systems.						5
3	Determine the logic of operation of artificial intelligence algorithms and determines the possible effects on media and indirectly society.			2

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	1	42	42
Mid-Term Exam	1	1	1
Preparation for the Mid-Term Exam	1	40	40
Short Exam	0	0	0
Preparation for the Short Exam	0	0	0
TOTAL	31	0	204