Course Description
| Course | Code | Semester | T+P (Hour) | Credit | ECTS |
|---|---|---|---|---|---|
| QUALIFYING EXAM PREPARATION | - | Fall Semester | 0+0 | - | 20 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | Third Cycle (Doctorate Degree) |
| Course Type | Required |
| Course Coordinator | Prof.Dr. Gürkan ÖZTÜRK |
| Name of Lecturer(s) | Prof.Dr. Lütfü HANOĞLU, Prof.Dr. Gürkan ÖZTÜRK, Prof.Dr. Ertuğrul KILIÇ, Prof.Dr. Süleyman YILDIRIM, Prof.Dr. Esra ÇAĞAVİ, Assoc.Prof. Erol YILDIRIM, Prof.Dr. Mustafa GÜZEL, Prof.Dr. Zübeyir BAYRAKTAROĞLU, Assist.Prof. Mehmet Hikmet ÜÇIŞIK, Assoc.Prof. Bilal Ersen KERMAN, Prof.Dr. Bahar GÜNTEKİN, Prof.Dr. Johan Joseph Marıa Catharına Hubertus DELAROSETTE, Prof.Dr. Maria Del Pilar LAGUNA PES |
| Assistant(s) | |
| Aim | The student is adequately equipped to pass the dissertation stage is to demonstrate that the proficiency exam preparation. |
| Course Content | This course contains; Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| To be able to master the topics of cognitive neuroscience. | 14 | |
| To be able to master molecular and cellular neuroscience. | 14 | |
| Have the ability to solve complex problems and to evaluate information analytically. | 14 | |
| The ability to learn new information quickly and be constantly open to information. | 14 | |
| Have the skills to analyse research data and use computer-based tools. | 14 | |
| Successfully pass the qualifying exam. | 14 | |
| Connect with theoretical and practical knowledge and skills acquired over the coursework. | 14 |
| Teaching Methods: | 14: Self Study Method |
| Assessment Methods: |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 2 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 3 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 4 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 5 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 6 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 7 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 8 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 9 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 10 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 11 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 12 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 13 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 14 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| Resources |
| Principles of Neural Science - Fifth Edition (Eric R. Kandel) |
| Digital resources, online courses, articles, web-based neuroscience simulations, seminars and conferences |
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. | X | |||||
| 2 | Knows the essential scientific questions and current research topics in neuroscience and produces hypotheses about them. | 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 | Defines the methods used in neuroscience researches. In own research area uses the required techniques without assistance, develops new methods and techniques. Designs research projects and submits them as proposals. Presents the research findings in oral or written forms and in scientific articles. | X | |||||
| 6 | Uses the communication and computer technology effectively in theoretical and practical studies. | X | |||||
| 7 | Able to present theoretical or research data orally or written in Turkish as well in English languages. | X | |||||
| 8 | Adheres to ethical values and behaves according to dynamics of social responsibility. | X | |||||
| 9 | While focusing on the basic research behaves in accordance with the principle that neuroscience research should eventually aim clinical implications and benefit. | X | |||||
| 10 | Designs and conducts scientific research, independently and within a team. Manages a research lab and establishes new ones. | X | |||||
| 11 | Evaluates all new information regarding the field and associate them based on available knowledge. | 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 | 20 | 280 | |||
| Guided Problem Solving | 14 | 20 | 280 | |||
| Resolution of Homework Problems and Submission as a Report | 0 | 0 | 0 | |||
| Term Project | 0 | 0 | 0 | |||
| Presentation of Project / Seminar | 0 | 0 | 0 | |||
| Quiz | 0 | 0 | 0 | |||
| Midterm Exam | 0 | 0 | 0 | |||
| General Exam | 0 | 0 | 0 | |||
| Performance Task, Maintenance Plan | 0 | 0 | 0 | |||
| Total Workload(Hour) | 560 | |||||
| Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(560/30) | 19 | |||||
| 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 |
|---|---|---|---|---|---|
| QUALIFYING EXAM PREPARATION | - | Fall Semester | 0+0 | - | 20 |
| Course Program |
| Prerequisites Courses | |
| Recommended Elective Courses |
| Language of Course | Turkish |
| Course Level | Third Cycle (Doctorate Degree) |
| Course Type | Required |
| Course Coordinator | Prof.Dr. Gürkan ÖZTÜRK |
| Name of Lecturer(s) | Prof.Dr. Lütfü HANOĞLU, Prof.Dr. Gürkan ÖZTÜRK, Prof.Dr. Ertuğrul KILIÇ, Prof.Dr. Süleyman YILDIRIM, Prof.Dr. Esra ÇAĞAVİ, Assoc.Prof. Erol YILDIRIM, Prof.Dr. Mustafa GÜZEL, Prof.Dr. Zübeyir BAYRAKTAROĞLU, Assist.Prof. Mehmet Hikmet ÜÇIŞIK, Assoc.Prof. Bilal Ersen KERMAN, Prof.Dr. Bahar GÜNTEKİN, Prof.Dr. Johan Joseph Marıa Catharına Hubertus DELAROSETTE, Prof.Dr. Maria Del Pilar LAGUNA PES |
| Assistant(s) | |
| Aim | The student is adequately equipped to pass the dissertation stage is to demonstrate that the proficiency exam preparation. |
| Course Content | This course contains; Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam,Individual study for the qualification exam. |
| Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
| To be able to master the topics of cognitive neuroscience. | 14 | |
| To be able to master molecular and cellular neuroscience. | 14 | |
| Have the ability to solve complex problems and to evaluate information analytically. | 14 | |
| The ability to learn new information quickly and be constantly open to information. | 14 | |
| Have the skills to analyse research data and use computer-based tools. | 14 | |
| Successfully pass the qualifying exam. | 14 | |
| Connect with theoretical and practical knowledge and skills acquired over the coursework. | 14 |
| Teaching Methods: | 14: Self Study Method |
| Assessment Methods: |
Course Outline
| Order | Subjects | Preliminary Work |
|---|---|---|
| 1 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 2 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 3 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 4 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 5 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 6 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 7 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 8 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 9 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 10 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 11 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 12 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 13 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| 14 | Individual study for the qualification exam | Preparation for doctoral qualification exam |
| Resources |
| Principles of Neural Science - Fifth Edition (Eric R. Kandel) |
| Digital resources, online courses, articles, web-based neuroscience simulations, seminars and conferences |
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. | X | |||||
| 2 | Knows the essential scientific questions and current research topics in neuroscience and produces hypotheses about them. | 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 | Defines the methods used in neuroscience researches. In own research area uses the required techniques without assistance, develops new methods and techniques. Designs research projects and submits them as proposals. Presents the research findings in oral or written forms and in scientific articles. | X | |||||
| 6 | Uses the communication and computer technology effectively in theoretical and practical studies. | X | |||||
| 7 | Able to present theoretical or research data orally or written in Turkish as well in English languages. | X | |||||
| 8 | Adheres to ethical values and behaves according to dynamics of social responsibility. | X | |||||
| 9 | While focusing on the basic research behaves in accordance with the principle that neuroscience research should eventually aim clinical implications and benefit. | X | |||||
| 10 | Designs and conducts scientific research, independently and within a team. Manages a research lab and establishes new ones. | X | |||||
| 11 | Evaluates all new information regarding the field and associate them based on available knowledge. | X | |||||
Assessment Methods
| Contribution Level | Absolute Evaluation | |
| Rate of Midterm Exam to Success | 50 | |
| Rate of Final Exam to Success | 50 | |
| Total | 100 | |