| Ders Adı | Kodu | Yarıyıl | T+U Saat | Kredi | AKTS |
|---|---|---|---|---|---|
| Medıcal Statıstıc and Introduction To Medıcal Informatıcs | BSM 449 | 7 | 3 + 0 | 3 | 5 |
| Ön Koşul Dersleri | |
| Önerilen Seçmeli Dersler | |
| Dersin Dili | Türkçe |
| Dersin Seviyesi | Lisans |
| Dersin Türü | Seçmeli |
| Dersin Koordinatörü | Prof.Dr. NİLÜFER YURTAY |
| Dersi Verenler | Dr.Öğr.Üyesi HÜSEYİN ESKİ, Prof.Dr. NİLÜFER YURTAY, |
| Dersin Yardımcıları | |
| Dersin Kategorisi | Diğer |
| 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. |
| # | Ders Öğrenme Çıktıları | Öğretim Yöntemleri | Ölçme Yöntemleri |
|---|---|---|---|
| 1 | Gain ability to understand medical data | Lecture, Question-Answer, Drilland Practice, | Testing, Homework, Project / Design, |
| 2 | Medical data encoding, classification. | Lecture, Question-Answer, Drilland Practice, | Testing, Homework, Project / Design, |
| 3 | Recognize the clinical information system | Drilland Practice, Lecture, Question-Answer, | Testing, Homework, Project / Design, |
| 4 | Knowing the basic concepts of the discipline of Medical Informatics | Lecture, Question-Answer, Drilland Practice, | Testing, Homework, Project / Design, |
| 5 | To obtain the experience to make statistics of medical data | Lecture, Question-Answer, Drilland Practice, | Homework, Project / Design, Testing, |
| 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. | Lecture, Question-Answer, Drilland Practice, | Testing, Homework, Project / Design, |
| Hafta | Ders Konuları | Ön Hazırlık |
|---|---|---|
| 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. |
| Sıra | Program Çıktıları | Katkı Düzeyi | |||||
|---|---|---|---|---|---|---|---|
| 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. | ||||||
| 13 | |||||||
| Değerlendirme Sistemi | |
|---|---|
| Yarıyıl Çalışmaları | Katkı Oranı |
| 1. Ara Sınav | 40 |
| 1. Ödev | 20 |
| 2. Ödev | 20 |
| 3. Ödev | 20 |
| Toplam | 100 |
| 1. Yıl İçinin Başarıya | 60 |
| 1. Final | 40 |
| Toplam | 100 |
| AKTS - İş Yükü Etkinlik | Sayı | Süre (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 | 5 | 5 |
| Project / Design | 1 | 10 | 10 |
| Final examination | 1 | 5 | 5 |
| Toplam İş Yükü | 116 | ||
| Toplam İş Yükü / 25 (Saat) | 4,64 | ||
| Dersin AKTS Kredisi | 5 | ||