Course Name Code Semester T+U Hours Credit ECTS
Medical Statistic and Introduction To Medical Informatics BSM 449 7 3 + 0 3 5
Precondition Courses
Recommended Optional Courses
Course Language Turkish
Course Level Bachelor's Degree
Course Type Optional
Course Coordinator Doç.Dr. NİLÜFER YURTAY
Course Lecturers Dr.Öğr.Üyesi HÜSEYİN ESKİ, Doç.Dr. NİLÜFER YURTAY,
Course Assistants
Course Category
Course Objective 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.
Course Content Basic concepts of medical informatics, medical data collection and editing, creating medical decision support systems.
# Course Learning Outcomes Teaching Methods Assessment Methods
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,
Week Course Topics Preliminary Preparation
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
Course Notes Lecture Notes
Course Resources 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.
Week Documents Description size
9 EBT545_H05 1.74 MB
9 EBT545_H05 1.74 MB
Order Program Outcomes Level of Contribution
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.
Evaluation System
Semester Studies Contribution Rate
1. Ara Sınav 40
1. Ödev 20
2. Ödev 20
3. Ödev 20
Total 100
1. Yıl İçinin Başarıya 60
1. Final 40
Total 100
ECTS - Workload Activity Quantity Time (Hours) Total Workload (Hours)
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
Total Workload 116
Total Workload / 25 (Hours) 4.64
dersAKTSKredisi 5