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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
DATA MINING BSM 429 7 3 + 0 3 5
Ön Koşul Dersleri
Önerilen Seçmeli Dersler
Dersin Dili Türkçe
Dersin Seviyesi Lisans
Dersin Türü SECMELI
Dersin Koordinatörü Doç.Dr. NİLÜFER YURTAY
Dersi Verenler
Dersin Yardımcıları
Dersin Kategorisi
Dersin Amacı
It is aimed to teach data mining technics and thier applications in this course
Dersin İçeriği
Introduction to data minig, their definitions, backrground, operations, algorithms. Data mining applications and problems. Text minig, web mining. Examples.
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Expose relations in data heaps automatically. 1 - 4 - 8 - 16 - A - C - F -
2 - 1 - 4 - 8 - 16 - A - C - F -
Öğretim Yöntemleri: 1:Lecture 4:Drilland Practice 8:Group Study 16:Project Based Learning
Ölçme Yöntemleri: A:Testing C:Homework F:Performance Task

Ders Akışı

Hafta Konular ÖnHazırlık
1 General definitions.
2 Application areas of data mining
3 Data warehouses and OLAP
4 Data mining models
5 Classification -decision trees
6 Classification statistic algorithms
7 Classification distance algorithms
8 Classification artificial neural networks
9 Association rules and relation analysis
10 Clustering- hierarchical methods
11 Partitioning methods
12 Density based algorithms
13 Grid based algorithms
14 Web mining

Kaynaklar

Ders Notu [1]Lecture Notes Sakarya Universty
Ders Kaynakları [2]Silahtaroğlu,G., Veri Madenciliği, Papatya Yayınevi,2008

Döküman Paylaşımı


Dersin Program Çıktılarına Katkısı

No Program Öğrenme Çıktıları KatkıDüzeyi
1 2 3 4 5
1 To have sufficient foundations on engineering subjects such as science and discrete mathematics, probability/statistics; an ability to use theoretical and applied knowledge of these subjects together for engineering solutions, X
2 An ability to determine, describe, formulate and solve engineering problems; for this purpose, an ability to select and apply proper analytic and modeling methods,al background in describing, formulating, modeling and analyzing the engineering problem, with a consideration for appropriate analytical solutions in all necessary situations X
3 An ability to select and use modern techniques and tools for engineering applications; an ability to use information technologies efficiently, X
4 An ability to analyze a system, a component or a process and design a system under real limits to meet desired needs; in this direction, an ability to apply modern design methods, X
5 An ability to design, conduct experiment, collect data, analyze and comment on the results and consciousness of becoming a volunteer on research, X
6 Understanding, awareness of administration, control, development and security/reliability issues about information technologies, X
7 An ability to work efficiently in multidisciplinary teams, self confidence to take responsibility, X
8 An ability to present himself/herself or a problem with oral/written techniques and have efficient communication skills; know at least one extra language, X
9 An awareness about importance of lifelong learning; an ability to update his/her knowledge continuously by means of following advances in science and technology, X
10 Understanding, practicing of professional and ethical responsibilities, an ability to disseminate this responsibility on society, X
11 An understanding of project management, workplace applications, health issues of laborers, environment and job safety; an awareness about legal consequences of engineering applications, X
12 An understanding universal and local effects of engineering solutions; awareness of entrepreneurial and innovation and to have knowledge about contemporary problems.

Değerlendirme Sistemi

YARIYIL İÇİ ÇALIŞMALARI SIRA KATKI YÜZDESİ
AraSinav 1 50
KisaSinav 1 10
Odev 1 30
KisaSinav 2 10
Toplam 100
Yıliçinin Başarıya Oranı 50
Finalin Başarıya Oranı 50
Toplam 100

AKTS - İş Yükü

Etkinlik Sayısı Süresi(Saat) Toplam İş yükü(Saat)
Course Duration (Including the exam week: 16x Total course hours) 16 3 48
Hours for off-the-classroom study (Pre-study, practice) 16 3 48
Mid-terms 1 10 10
Assignment 1 15 15
Final examination 1 10 10
Toplam İş Yükü 131
Toplam İş Yükü /25(s) 5.24
Dersin AKTS Kredisi 5.24
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