MANAGEMENT OF HEALTH (TURKISH)
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MBG2003 Computation for Biological Sciences I Spring 2 2 3 7
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi ELIZABETH HEMOND
Course Lecturer(s): Dr. Öğr. Üyesi SERKAN AYVAZ
Prof. Dr. SÜREYYA AKYÜZ
Course Objectives: This class intended to provide a general introduction to computational tools for biology.

Learning Outcomes

The students who have succeeded in this course;
1. Have learned important biological data sources.
2. Can evaluate the results of biological analysis statistically and mathematically.
3. Have learned how to use various tools to evaluate genome sequencing data.
4. Have learned basic level analyses in Matlab.

Course Content

Evaluation and analysis of general biological and genome sequencing data using related computational tools efficiently.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Biological data
2) Biyological databases
3) Sequencing data
4) Sequence alignment
5) Genome sequencing data
6) Genome assembly
7) Genetic variation analysis I
8) Genetic variation analysis II
9) Gene expression analysis
10) Microarray data analysis
11) Mass Spec analysis
12) Molecular modelling I
13) Molecular modelling II
14) Molecular modelling III

Sources

Course Notes / Textbooks: Ders notları verilecektir.
Course notes will be supplied.
References: Computational Biology Series Editors: Dress, A., Linial, M., Troyanskaya, O., Vingron, M. ISSN: 1568-2684, 2009

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 10 % 10
Presentation 1 % 15
Midterms 1 % 25
Final 1 % 50
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 4 56
Study Hours Out of Class 14 7 98
Presentations / Seminar 5 4 20
Midterms 1 2 2
Final 1 2 2
Total Workload 178

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) To have theoretical and practical knowledge required to fulfill professional roles and functions of Management of Health Scşences field. 3
2) To act in accordance with ethical principles and values in management, to learn and implement related regulations and guides. 3
3) To use life-long learning, problem-solving and critical thinking skills. 3
4) To identify the process of management functions (management and organization, public relations, human resources, cost accounting, marketing) in the Management of Health Sciences field. 2
5) To take part in research, projects and activities within sense of social responsibility and interdisciplinary approach. 2
6) To have skills for planning training programs and projects according to health education needs of individual, family and the community. 2
7) To be sensitive to health problems of the community and to be able to offer solutions. 2
8) To be able to use effective communication skills; to take responsibility as a team member in collaboration with other professions. 2
9) To have skills for research, planning and practice about health systems and health information systems field within national and international level. 2
10) To be able to search for literature in health sciences and management and information sources to access to information and use the information effectively. 2
11) To be able to monitor occupational information using at least one foreign language, to collaborate and communicate with colleagues at international level. 2
12) To be a role model with contemporary and professional identity. 2