Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|
| METHOD and STATISTICS in BRAIN RESEARCHES | SNBY1210326 | Spring Semester | 3+0 | 3 | 8 |
| Prerequisites Courses | |
| Recommended Elective Courses | |
| Language of Course | Turkish |
| Course Level | Second Cycle (Master's Degree) |
| Course Type | Elective |
| Course Coordinator | Assoc.Prof. Pakize YİĞİT |
| Name of Lecturer(s) | Assoc.Prof. Pakize YİĞİT |
| Assistant(s) | |
| Aim | This course will provide students with the knowledge and skills to understand scientific research processes and methods, commonly used methods in brain research, and how to perform statistical analysis of research data using software. |
| Course Content | This course contains; Definition and principles of scientific research,Types and stages of scientific research,Stages of scientific research,Definition of scientific publication, its types, and electronic data sources.,Frequency distributions, percentages, and SPSS applications.,Measures of central concentration,Prevalence measures and SPSS applications.,Normal distribution and standard normal distribution,Descriptive statistics, graph printing, and SPSS applications.,Correlation and SPSS applications,Partial correlation, simple regression analysis, and SPSS applications.,Difference analyses,Power analysis and sample size calculation.,General review. |
| Course Learning Outcomes | Teaching Methods | Assessment Methods |
| 9 | E, F |
| Describes the concept of "scientific" | 8, 9 | E, F |
| Uses most effective methods to search literature | 8 | F |
| Judges ethic rules and violations in research | 9 | F |
| 12, 8 | E |
| Teaching Methods: | 12: Problem Solving Method, 8: Flipped Classroom Learning, 9: Lecture Method |
| Assessment Methods: | E: Homework, F: Project Task |
Course Outline
| Order | Subjects | Preliminary Work |
|---|
| 1 | Definition and principles of scientific research | |
| 2 | Types and stages of scientific research | |
| 3 | Stages of scientific research | |
| 4 | Definition of scientific publication, its types, and electronic data sources. | |
| 5 | Frequency distributions, percentages, and SPSS applications. | |
| 6 | Measures of central concentration | |
| 7 | Prevalence measures and SPSS applications. | |
| 8 | Normal distribution and standard normal distribution | |
| 9 | Descriptive statistics, graph printing, and SPSS applications. | |
| 10 | Correlation and SPSS applications | |
| 11 | Partial correlation, simple regression analysis, and SPSS applications. | |
| 12 | Difference analyses | |
| 13 | Power analysis and sample size calculation. | |
| 14 | General review | |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications |
| No | Program Qualification | Contribution Level |
| 1 | 2 | 3 | 4 | 5 |
| 1 | Has the essential knowledge about the structure and functioning of the nervous system. | | | | | |
| 2 | Knows the essential scientific questions of neuroscience and current fields of research. | | | X | | |
| 3 | Have knowledge and interpretation skills about neurodegenerative processes. | | | | | |
| 4 | Know the principles of technologies for the measurement of molecular and cellular level parameters. | | | | | |
| 5 | Able to comment on related scientific researches with respect to rational, method and results. | | | | X | |
| 6 | Knows main laboratory techniques. | | | X | | |
| 7 | Able to explain main scientific questions regarding neuroscience. | | X | | | |
| 8 | Able to evaluate all new information regarding the field and associate them based on available knowledge. | | | X | | |
| 9 | Uses the communication and computer technology effectively in theoretical and practical studies. | | X | | | |
| 10 | Able to present theoretical or research data orally or written in Turkish as well in English languages. | | | | X | |
| 11 | Adheres to ethical values and behaves according to dynamics of social responsibility. | | | | | X |
| 12 | Behaves in accordance with the principle that neuroscience research should eventually aim clinical implications and benefit. | | X | | | |
| 13 | Able to participate neuroscience research teams; individually undertake the responsibility of the work assigned and perform it independently. | | | | | X |
Assessment Methods
| Contribution Level | Absolute Evaluation |
| Rate of Midterm Exam to Success | | 50 |
| Rate of Final Exam to Success | | 50 |
| Total | | 100 |
| ECTS / Workload Table |
| Activities | Number of | Duration(Hour) | Total Workload(Hour) |
| Course Hours | 14 | 3 | 42 |
| Guided Problem Solving | 14 | 6 | 84 |
| Resolution of Homework Problems and Submission as a Report | 3 | 15 | 45 |
| Term Project | 0 | 0 | 0 |
| Presentation of Project / Seminar | 0 | 0 | 0 |
| Quiz | 0 | 0 | 0 |
| Midterm Exam | 1 | 30 | 30 |
| General Exam | 1 | 40 | 40 |
| Performance Task, Maintenance Plan | 0 | 0 | 0 |
| Total Workload(Hour) | 241 |
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(241/30) | 8 |
| ECTS of the course: 30 hours of work is counted as 1 ECTS credit. |
Detail Informations of the Course
Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|
| METHOD and STATISTICS in BRAIN RESEARCHES | SNBY1210326 | Spring Semester | 3+0 | 3 | 8 |
| Prerequisites Courses | |
| Recommended Elective Courses | |
| Language of Course | Turkish |
| Course Level | Second Cycle (Master's Degree) |
| Course Type | Elective |
| Course Coordinator | Assoc.Prof. Pakize YİĞİT |
| Name of Lecturer(s) | Assoc.Prof. Pakize YİĞİT |
| Assistant(s) | |
| Aim | This course will provide students with the knowledge and skills to understand scientific research processes and methods, commonly used methods in brain research, and how to perform statistical analysis of research data using software. |
| Course Content | This course contains; Definition and principles of scientific research,Types and stages of scientific research,Stages of scientific research,Definition of scientific publication, its types, and electronic data sources.,Frequency distributions, percentages, and SPSS applications.,Measures of central concentration,Prevalence measures and SPSS applications.,Normal distribution and standard normal distribution,Descriptive statistics, graph printing, and SPSS applications.,Correlation and SPSS applications,Partial correlation, simple regression analysis, and SPSS applications.,Difference analyses,Power analysis and sample size calculation.,General review. |
| Course Learning Outcomes | Teaching Methods | Assessment Methods |
| 9 | E, F |
| Describes the concept of "scientific" | 8, 9 | E, F |
| Uses most effective methods to search literature | 8 | F |
| Judges ethic rules and violations in research | 9 | F |
| 12, 8 | E |
| Teaching Methods: | 12: Problem Solving Method, 8: Flipped Classroom Learning, 9: Lecture Method |
| Assessment Methods: | E: Homework, F: Project Task |
Course Outline
| Order | Subjects | Preliminary Work |
|---|
| 1 | Definition and principles of scientific research | |
| 2 | Types and stages of scientific research | |
| 3 | Stages of scientific research | |
| 4 | Definition of scientific publication, its types, and electronic data sources. | |
| 5 | Frequency distributions, percentages, and SPSS applications. | |
| 6 | Measures of central concentration | |
| 7 | Prevalence measures and SPSS applications. | |
| 8 | Normal distribution and standard normal distribution | |
| 9 | Descriptive statistics, graph printing, and SPSS applications. | |
| 10 | Correlation and SPSS applications | |
| 11 | Partial correlation, simple regression analysis, and SPSS applications. | |
| 12 | Difference analyses | |
| 13 | Power analysis and sample size calculation. | |
| 14 | General review | |
Course Contribution to Program Qualifications
| Course Contribution to Program Qualifications |
| No | Program Qualification | Contribution Level |
| 1 | 2 | 3 | 4 | 5 |
| 1 | Has the essential knowledge about the structure and functioning of the nervous system. | | | | | |
| 2 | Knows the essential scientific questions of neuroscience and current fields of research. | | | X | | |
| 3 | Have knowledge and interpretation skills about neurodegenerative processes. | | | | | |
| 4 | Know the principles of technologies for the measurement of molecular and cellular level parameters. | | | | | |
| 5 | Able to comment on related scientific researches with respect to rational, method and results. | | | | X | |
| 6 | Knows main laboratory techniques. | | | X | | |
| 7 | Able to explain main scientific questions regarding neuroscience. | | X | | | |
| 8 | Able to evaluate all new information regarding the field and associate them based on available knowledge. | | | X | | |
| 9 | Uses the communication and computer technology effectively in theoretical and practical studies. | | X | | | |
| 10 | Able to present theoretical or research data orally or written in Turkish as well in English languages. | | | | X | |
| 11 | Adheres to ethical values and behaves according to dynamics of social responsibility. | | | | | X |
| 12 | Behaves in accordance with the principle that neuroscience research should eventually aim clinical implications and benefit. | | X | | | |
| 13 | Able to participate neuroscience research teams; individually undertake the responsibility of the work assigned and perform it independently. | | | | | X |
Assessment Methods
| Contribution Level | Absolute Evaluation |
| Rate of Midterm Exam to Success | | 50 |
| Rate of Final Exam to Success | | 50 |
| Total | | 100 |
Numerical Data
Publication Date: 27/11/2023 - 00:05Last Update : 17/06/2026 - 12:08
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