Skip to main content

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
INTRODUCTION to COMPUTATIONAL BIOLOGY-Spring Semester3+038
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelSecond Cycle (Master's Degree)
Course TypeElective
Course CoordinatorProf.Dr. Abdulbari BENER
Name of Lecturer(s)Assist.Prof. Kıvanç KÖK
Assistant(s)
Aim
Course ContentThis course contains; .
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Teaching Methods:
Assessment Methods:

Course Outline

OrderSubjectsPreliminary Work
Resources

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Can use advanced theoretical and applied knowledge gained in the fields of theoretical and applied biostatistics.
2
Can use the knowledge of basic probability and statistics theories and applications at the level of expertise.
3
They have knowledge of all kinds of research design in the field of health
4
Can design, construct and propose solutions for research in the field of health.
5
Can identify and analyze problems in health research and produce solutions based on scientific methods
6
Conducts scientific clinical descriptive or analytical research on priority issues related to the field.
7
Evaluate and explain the information about the field of biostatistics with a critical approach.
8
Observes and teaches social, scientific, and ethical values in the stages of data collection, recording, interpretation, and reporting related to the field of biostatistics.
9
To be familiar with the software commonly used in the fields of biostatistics and to be able to use at least one effectively
10
Conducts studies in the field of biostatistics independently or as a team.
11
Maintains work in the field of biostatistics individually or as a team, can participate in the decision-making process, and make and finalize the necessary planning by using time effectively.
12
Ensure the continuity of her professional development by using the biostatistics field and lifelong learning principles.
13
Publishes a scientific article in a national and international journal or presents it at a scientific meeting.
14
Take part in research, projects and activities in collaboration with other disciplines in the field of health.
15
A sensitive individual, they can use their knowledge for the benefit of society and have sufficient awareness about quality management, occupational safety, and environment in all processes.
16
Can use the knowledge and problem-solving skills synthesized in the field of biostatistics by considering ethical principles in health research.
17
It can be found in national and international policy studies in the field of biostatistics and education.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 50
Rate of Final Exam to Success 50
Total 100
ECTS / Workload Table
ActivitiesNumber ofDuration(Hour)Total Workload(Hour)
Course Hours000
Guided Problem Solving000
Resolution of Homework Problems and Submission as a Report000
Term Project000
Presentation of Project / Seminar000
Quiz000
Midterm Exam000
General Exam000
Performance Task, Maintenance Plan000
Total Workload(Hour)0
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(0/30)0
ECTS of the course: 30 hours of work is counted as 1 ECTS credit.

Detail Informations of the Course

Course Description

CourseCodeSemesterT+P (Hour)CreditECTS
INTRODUCTION to COMPUTATIONAL BIOLOGY-Spring Semester3+038
Course Program
Prerequisites Courses
Recommended Elective Courses
Language of CourseEnglish
Course LevelSecond Cycle (Master's Degree)
Course TypeElective
Course CoordinatorProf.Dr. Abdulbari BENER
Name of Lecturer(s)Assist.Prof. Kıvanç KÖK
Assistant(s)
Aim
Course ContentThis course contains; .
Dersin Öğrenme KazanımlarıTeaching MethodsAssessment Methods
Teaching Methods:
Assessment Methods:

Course Outline

OrderSubjectsPreliminary Work
Resources

Course Contribution to Program Qualifications

Course Contribution to Program Qualifications
NoProgram QualificationContribution Level
12345
1
Can use advanced theoretical and applied knowledge gained in the fields of theoretical and applied biostatistics.
2
Can use the knowledge of basic probability and statistics theories and applications at the level of expertise.
3
They have knowledge of all kinds of research design in the field of health
4
Can design, construct and propose solutions for research in the field of health.
5
Can identify and analyze problems in health research and produce solutions based on scientific methods
6
Conducts scientific clinical descriptive or analytical research on priority issues related to the field.
7
Evaluate and explain the information about the field of biostatistics with a critical approach.
8
Observes and teaches social, scientific, and ethical values in the stages of data collection, recording, interpretation, and reporting related to the field of biostatistics.
9
To be familiar with the software commonly used in the fields of biostatistics and to be able to use at least one effectively
10
Conducts studies in the field of biostatistics independently or as a team.
11
Maintains work in the field of biostatistics individually or as a team, can participate in the decision-making process, and make and finalize the necessary planning by using time effectively.
12
Ensure the continuity of her professional development by using the biostatistics field and lifelong learning principles.
13
Publishes a scientific article in a national and international journal or presents it at a scientific meeting.
14
Take part in research, projects and activities in collaboration with other disciplines in the field of health.
15
A sensitive individual, they can use their knowledge for the benefit of society and have sufficient awareness about quality management, occupational safety, and environment in all processes.
16
Can use the knowledge and problem-solving skills synthesized in the field of biostatistics by considering ethical principles in health research.
17
It can be found in national and international policy studies in the field of biostatistics and education.

Assessment Methods

Contribution LevelAbsolute Evaluation
Rate of Midterm Exam to Success 50
Rate of Final Exam to Success 50
Total 100

Numerical Data

Student Success

Ekleme Tarihi: 23/11/2023 - 16:54Son Güncelleme Tarihi: 23/11/2023 - 16:55