Course Description
Course | Code | Semester | T+P (Hour) | Credit | ECTS |
---|
LABORATORY ROTATION II | - | Fall Semester | 0+0 | - | 6 |
Prerequisites Courses | |
Recommended Elective Courses | |
Language of Course | Turkish |
Course Level | Third Cycle (Doctorate Degree) |
Course Type | Elective |
Course Coordinator | Prof.Dr. Esra ÇAĞAVİ |
Name of Lecturer(s) | Prof.Dr. Lütfü HANOĞLU, Prof.Dr. Gürkan ÖZTÜRK, Prof.Dr. Esra ÇAĞAVİ |
Assistant(s) | Course Supervisor: Prof. Dr Esra Çağavi, Course LaboAssistants: Laboratory supervisor from Research Institute for Health Sciences and Technologies (SABITA), |
Aim | The aim of the “Laboratory Rotation-II” course is for Ph.D. level students to to explain the advanced technical approaches in laboratory application that is expected to incorporate in their thesis work understanding of the scope of different laboratory disciplines. By rotating in different labs every week, students are aimed to be exposed to the advanced molecular biology techniques, proteomics and genomics applications, FACS, primary and cell line culture applications, transgenic animal models, electrophysiology, neuroscience and cancer research applications, basic protein and gene expression analysis.
|
Course Content | This course contains; Electroencephalography (EEG) recording principles
,EEG application and signal analysis,Flourescence activated cell sorting (FACS) method and analysis ,Functional Neurology Applications,Flourescence activated cell sorting (FACS) method and analysis ,Experimental and transgenic animal models and applications, Evaluation of Laboratory Notebooks for the Midterm Exam,Cell survival tests analysis,Electrophysiology applications and analysis,Quantitative RTPCR analysis in Molecular Biology,Cancer Biology Lab and Applications,Immunohistochemistry and cryosectioning ,SDS-PAGE and Western blot analysis,Evaluation of Laboratory Notebooks for the Final Exam. |
Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
Explain the advanced culture methods, advanced approaches in molecular biology, experimental transgenic animal models and their applications, applications in neuroscience research, EEG principles and electrophsiology, fundamental approaches in cancer biology, cell survival analysis and FACS analysis. | 14, 17, 3, 9 | A, E |
Explains advanced research techniques. | 14, 17, 3, 9 | A, E |
Explain and provide solutions to various different experimental techniques.
| 14, 17, 3, 9 | A, E |
Define the principles of basic research laboratory equipments and can operate these devices. | 14, 17, 3, 9 | A, E |
Explains the advanced data analysis approaches of scientific data. | 14, 17, 3, 9 | A, E |
Teaching Methods: | 14: Self Study Method, 17: Experimental Technique, 3: Problem Baded Learning Model, 9: Lecture Method |
Assessment Methods: | A: Traditional Written Exam, E: Homework |
Course Outline
Order | Subjects | Preliminary Work |
---|
1 | Electroencephalography (EEG) recording principles
| Self-study |
2 | EEG application and signal analysis | |
3 | Flourescence activated cell sorting (FACS) method and analysis | Self-study |
4 | Functional Neurology Applications | Self-study |
5 | Flourescence activated cell sorting (FACS) method and analysis | Self-study |
6 | Experimental and transgenic animal models and applications | Self-study |
7 | Evaluation of Laboratory Notebooks for the Midterm Exam | Self-study |
8 | Cell survival tests analysis | |
9 | Electrophysiology applications and analysis | |
10 | Quantitative RTPCR analysis in Molecular Biology | |
11 | Cancer Biology Lab and Applications | |
12 | Immunohistochemistry and cryosectioning | |
13 | SDS-PAGE and Western blot analysis | |
14 | Evaluation of Laboratory Notebooks for the Final Exam | Self-study |
Resources |
Laboratory Biosafety Manual (third edition) 1. Containment of biohazard - methods ISBN 92 4 154650 6 (LC/NLM classification: QY 25) WHO/ CDS/ CSR/ LYO/ 2004. 11 |
Internet database |
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. | | | X | | |
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. | | | | | |
7 | Able to present theoretical or research data orally or written in Turkish as well in English languages. | | | | | |
8 | Adheres to ethical values and behaves according to dynamics of social responsibility. | | | | | |
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 | 3 | 42 |
Guided Problem Solving | 5 | 6 | 30 |
Resolution of Homework Problems and Submission as a Report | 14 | 6 | 84 |
Term Project | 0 | 0 | 0 |
Presentation of Project / Seminar | 0 | 0 | 0 |
Quiz | 0 | 0 | 0 |
Midterm Exam | 1 | 10 | 10 |
General Exam | 1 | 10 | 10 |
Performance Task, Maintenance Plan | 0 | 0 | 0 |
Total Workload(Hour) | 176 |
Dersin AKTS Kredisi = Toplam İş Yükü (Saat)/30*=(176/30) | 6 |
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 |
---|
LABORATORY ROTATION II | - | Fall Semester | 0+0 | - | 6 |
Prerequisites Courses | |
Recommended Elective Courses | |
Language of Course | Turkish |
Course Level | Third Cycle (Doctorate Degree) |
Course Type | Elective |
Course Coordinator | Prof.Dr. Esra ÇAĞAVİ |
Name of Lecturer(s) | Prof.Dr. Lütfü HANOĞLU, Prof.Dr. Gürkan ÖZTÜRK, Prof.Dr. Esra ÇAĞAVİ |
Assistant(s) | Course Supervisor: Prof. Dr Esra Çağavi, Course LaboAssistants: Laboratory supervisor from Research Institute for Health Sciences and Technologies (SABITA), |
Aim | The aim of the “Laboratory Rotation-II” course is for Ph.D. level students to to explain the advanced technical approaches in laboratory application that is expected to incorporate in their thesis work understanding of the scope of different laboratory disciplines. By rotating in different labs every week, students are aimed to be exposed to the advanced molecular biology techniques, proteomics and genomics applications, FACS, primary and cell line culture applications, transgenic animal models, electrophysiology, neuroscience and cancer research applications, basic protein and gene expression analysis.
|
Course Content | This course contains; Electroencephalography (EEG) recording principles
,EEG application and signal analysis,Flourescence activated cell sorting (FACS) method and analysis ,Functional Neurology Applications,Flourescence activated cell sorting (FACS) method and analysis ,Experimental and transgenic animal models and applications, Evaluation of Laboratory Notebooks for the Midterm Exam,Cell survival tests analysis,Electrophysiology applications and analysis,Quantitative RTPCR analysis in Molecular Biology,Cancer Biology Lab and Applications,Immunohistochemistry and cryosectioning ,SDS-PAGE and Western blot analysis,Evaluation of Laboratory Notebooks for the Final Exam. |
Dersin Öğrenme Kazanımları | Teaching Methods | Assessment Methods |
Explain the advanced culture methods, advanced approaches in molecular biology, experimental transgenic animal models and their applications, applications in neuroscience research, EEG principles and electrophsiology, fundamental approaches in cancer biology, cell survival analysis and FACS analysis. | 14, 17, 3, 9 | A, E |
Explains advanced research techniques. | 14, 17, 3, 9 | A, E |
Explain and provide solutions to various different experimental techniques.
| 14, 17, 3, 9 | A, E |
Define the principles of basic research laboratory equipments and can operate these devices. | 14, 17, 3, 9 | A, E |
Explains the advanced data analysis approaches of scientific data. | 14, 17, 3, 9 | A, E |
Teaching Methods: | 14: Self Study Method, 17: Experimental Technique, 3: Problem Baded Learning Model, 9: Lecture Method |
Assessment Methods: | A: Traditional Written Exam, E: Homework |
Course Outline
Order | Subjects | Preliminary Work |
---|
1 | Electroencephalography (EEG) recording principles
| Self-study |
2 | EEG application and signal analysis | |
3 | Flourescence activated cell sorting (FACS) method and analysis | Self-study |
4 | Functional Neurology Applications | Self-study |
5 | Flourescence activated cell sorting (FACS) method and analysis | Self-study |
6 | Experimental and transgenic animal models and applications | Self-study |
7 | Evaluation of Laboratory Notebooks for the Midterm Exam | Self-study |
8 | Cell survival tests analysis | |
9 | Electrophysiology applications and analysis | |
10 | Quantitative RTPCR analysis in Molecular Biology | |
11 | Cancer Biology Lab and Applications | |
12 | Immunohistochemistry and cryosectioning | |
13 | SDS-PAGE and Western blot analysis | |
14 | Evaluation of Laboratory Notebooks for the Final Exam | Self-study |
Resources |
Laboratory Biosafety Manual (third edition) 1. Containment of biohazard - methods ISBN 92 4 154650 6 (LC/NLM classification: QY 25) WHO/ CDS/ CSR/ LYO/ 2004. 11 |
Internet database |
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. | | | X | | |
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. | | | | | |
7 | Able to present theoretical or research data orally or written in Turkish as well in English languages. | | | | | |
8 | Adheres to ethical values and behaves according to dynamics of social responsibility. | | | | | |
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 |
Numerical Data
Ekleme Tarihi: 27/11/2023 - 22:21Son Güncelleme Tarihi: 27/11/2023 - 22:21
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