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Ders Tanımı

Ders Kodu Yarıyıl T+U Saat Kredi AKTS
MEDICAL STATISTIC AND INTRODUCTİON TO MEDICAL INFORMATICS BSM 449 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 Doç.Dr. NİLÜFER YURTAY
Arş.Gör. HÜSEYİN DEMİRCİ
Dersin Yardımcıları
Dersin Kategorisi
Dersin Amacı
To give the concept of Medical Statistics , Medical Informatics discipline, experience, principles, skills and strategies, to teach and understand the structure of medical decision support systems.
Dersin İçeriği
Basic concepts of medical informatics, medical data collection and editing, creating medical decision support systems.
Dersin Öğrenme Çıktıları Öğretim Yöntemleri Ölçme Yöntemleri
1 - Gain ability to understand medical data 1 - 2 - 4 - A - C - D -
2 - Medical data encoding, classification. 1 - 2 - 4 - A - C - D -
3 - Recognize the clinical information system 1 - 2 - 4 - A - C - D -
4 - Knowing the basic concepts of the discipline of Medical Informatics 1 - 2 - 4 - A - C - D -
5 - To obtain the experience to make statistics of medical data 1 - 2 - 4 - A - C - D -
6 - To use Expert systems, data mining, neural networks, genetic algorithms to understand and made to medical decision support systems and applications of artificial immune system. 1 - 2 - 4 - A - C - D -
Öğretim Yöntemleri: 1:Lecture 2:Question-Answer 4:Drilland Practice
Ölçme Yöntemleri: A:Testing C:Homework D:Project / Design

Ders Akışı

Hafta Konular ÖnHazırlık
1 Scientific research in the medical statistics, sampling, data collection and editing
2 Scientific research in the medical statistics, sampling, data collection and editing
3 Regression, correlation and variance analysis
4 Roc analysis
5 Introduction to Medical Informatics and Overview
6 Coding and Standards in Health Services
7 Health Information Systems
8 Hospital Information Systems
9 Decision-Support Systems in Medicine -Expert Systems
10 Decision-Support Systems in Medicine –Data Mining
11 Decision-Support Systems in Medicine –Data Mining
12 Decision-Support Systems in Medicine –Artificial Neural Networks
13 Decision-Support Systems in Medicine –Genetic Algorithms
14 Decision-Support Systems in Medicine –Artificial Immune systems

Kaynaklar

Ders Notu Lecture Notes
Ders Kaynakları Mustafa Şenocak, Temel Biyoistatistik, Çağlayan Kitabevi ,1990.
Silahtaroğlu,G., Veri Madenciliği, Papatya Yayınevi,2008.
Stuart Russell, Peter Norvig; Artificial Intelligence A Modern Approach, Prentice-Hall, Inc., 1995.
Dr. Murat Civaner, Tıp Etiği El Kitabı , Türk Tabipleri Birliği Yayınları, 2005.

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,
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,
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,
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,
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 30
KisaSinav 1 5
ProjeTasarim 1 40
Odev 1 5
Odev 2 5
Odev 3 5
Odev 4 5
Odev 5 5
Toplam 100
Yıliçinin Başarıya Oranı 60
Finalin Başarıya Oranı 40
Toplam 100

AKTS - İş Yükü

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