Istanbul Health and Technology University INFORMATION PACKAGE / COURSE CATALOGUE
| Molecular Biology and Genetics | |||||
| Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 | ||
Course General Introduction Information
| Course Code: | MBG302 | ||||
| Course Name: | Synthetic Biology | ||||
| Course Semester: | Spring | ||||
| Course Credits: |
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| Language of instruction: | |||||
| Course Requirement: | |||||
| Does the Course Require Work Experience?: | No | ||||
| Type of course: | Area Ellective | ||||
| Course Level: |
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| Mode of Delivery: | Face to face | ||||
| Course Coordinator : | Dr.Öğr.Üyesi EBUZER KALYONCU | ||||
| Course Lecturer(s): |
Dr.Öğr.Üyesi TOLGA TARKAN ÖLMEZ |
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| Course Assistants: |
Course Purpose and Content
| Course Objectives: | Thanks to the Synthetic Biology (MBG 302) course, students will have the chance to understand the basic rules and mechanisms of life. This lesson will encourage them to think about the distinction between living and nonliving. Molecular genetic techniques will be reviewed and students will be taught much more complex techniques and approaches. The emergence of biodiversity and the development of complex structures and mechanisms by living things will be examined within the framework of the theory of evolution. Students will gain a partial but strong understanding of top-tier publications in peer-reviewed journals on synthetic biology. Thanks to the advanced molecular genetics techniques, scientific thinking and approach they learn in this course, students will enrich their molecular genetics approaches and complete their studies having significantly improved themselves. Assignments are designed to improve students' research and analysis skills and encourage them to do an original study on the subject of the assignment. The presentations required from students within the scope of the course will help students further develop their group work and research skills, prepare for presentations, and develop their skills and competencies in speaking respectfully and safely in front of the public. |
| Course Content: | 1. Introduction to molecular genetics 2. Synthetic biology as an engineering concept 3. Synthetic biology as an informatics concept 4. Basic molecular genetics techniques -1 5. Basic molecular genetics techniques -2 6. Advanced molecular genetics techniques -1 7. Advanced molecular genetics techniques -2 8. Midterm exam 9. Positive and negative conditions of feedback and forward feedback, genetic autoregulation, gene expression control 10. Gene circuit principles and design 11. Synthetic RNA and protein devices 12. Metabolic engineering and synthetic biosystems 13. Student presentation -1 14. Student presentation -2 |
Learning Outcomes
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The students who have succeeded in this course;
1) It is aimed to provide the following basic achievements with the determined course content; - To understand the basic mechanisms of life, to reach a level where we can discuss issues related to the basis of life, - To learn classical and modern developments in recombinant DNA technology and to make reasonable comments about new techniques and to understand those techniques, - To have detailed knowledge about gene expression and control of gene expression in Prokaryotes and Eukaryotes, - Understand how basic synthetic biological circuits work, - Designing basic synthetic biological circuits or refactoring existing circuits, - Understanding how complex synthetic biological circuits work, - Designing complex synthetic biological circuits or refactoring existing circuits, - Have a detailed understanding of positive and negative feedback, positive and negative feedforward, and biological signal processing, - To understand the issues of biological autoregulation and dosage compensation, - To understand and analyze gene pathways and networks, - Examining, modeling and making predictions about the responses of gene pathways and networks to external signals, - Understanding and developing synthetic RNA and protein devices, - To have knowledge about metabolic engineering and synthetic biosystems. |
Course Flow Plan
| Week | Subject | Related Preparation |
| 1) | 1. Introduction to molecular genetics | |
| 2) | 2. Synthetic biology as an engineering concept | |
| 3) | 3. Synthetic biology as an informatics concept | |
| 4) | 4. Basic molecular genetics techniques -1 | |
| 5) | 5. Basic molecular genetics techniques -2 | |
| 6) | 6. Advanced molecular genetics techniques -1 | |
| 7) | 7. Advanced molecular genetics techniques -2 | |
| 8) | 8. Midterm exam | |
| 9) | 9. Positive and negative conditions of feedback and forward feedback, genetic autoregulation, gene expression control | |
| 10) | 10. Gene circuit principles and design | |
| 11) | 11. Synthetic RNA and protein devices | |
| 12) | 12. Metabolic engineering and synthetic biosystems | |
| 13) | 13. Student presentation -1 | |
| 14) | 14. Student presentation -2 |
Sources
| Course Notes / Textbooks: | |
| References: | Ders Kaynakları 1. Synthetic Biology: Parts, Devices and Applications (Christina Smolke) (2018) 2. Synthetic Biology: A Primer (Paul S. Freemont, Geoff Baldwin) (2015) 3. Programmable Planet: The Synthetic Biology Revolution (Ted Anton) (2023) Yardımcı Kaynaklar 1. Synthetic Biology of Yeasts: Tools and Applications (Farshad Darvishi Harzevili) (2022) 2. Actinobacteria: Microbiology to Synthetic Biology (Loganathan Karthik) (2022) 3. Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology (Kumar Selvarajoo) (2022) Course Resources 1. Synthetic Biology: Parts, Devices and Applications (Christina Smolke) (2018) 2. Synthetic Biology: A Primer (Paul S. Freemont, Geoff Baldwin) (2015) 3. Programmable Planet: The Synthetic Biology Revolution (Ted Anton) (2023) Helpful Resources 1. Synthetic Biology of Yeasts: Tools and Applications (Farshad Darvishi Harzevili) (2022) 2. Actinobacteria: Microbiology to Synthetic Biology (Loganathan Karthik) (2022) 3. Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology (Kumar Selvarajoo) (2022) |
Course - Learning Outcome Relationship
| No Effect | 1 Lowest | 2 Medium | 3 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Having knowledge and understanding of Molecular Biology and Genetics subjects, established on competencies gained in previous education and supported by using course books containing latest information, application tools and other scientific literature. | 2 |
| 2) | Students can integrate knowledge and skills from molecular biology and genetics courses and can acquire further knowledge according to their own interests. | 3 |
| 3) | Students acquire practical skills in fundamental molecular biology and genetics techniques. | 3 |
| 4) | Ability of proposing solutions in unexpected, complicated situations on applications of Molecular Biology and Genetics by claiming responsibility individually or as a part of a team. | 2 |
| 5) | Competency in planning academic studies on Molecular Biology and Genetics and carrying out these studies individually or collectively. | 2 |
| 6) | Students can develop ability to analyse and interpret experimental data obtained in a laboratory setting statistically. | 3 |
| 7) | Sufficient foreign language knowledge for communication between colleagues and following literature on Molecular Biology and Genetics. | 3 |
| 8) | Students can use computational technologies to analyse scientific data and for information retrieval. | 3 |
| 9) | Being aware of the necessity of lifelong education, reaching information, following the advances in science and technology and constant struggle of renewing oneself. | 3 |
| 10) | Evaluating natural and social events with an environmental point of view and ability of informing and leading the public opinion | 3 |
| 11) | Students acquire professional knowledge and skills to fulfil requirements of their future employers. | 3 |
| 12) | Having proper social, ethical and scientific values and the will to protect these values on studies about collection, evaluation, contemplation, publication and application of data regarding Molecular Biology and Genetics. | 2 |
| 13) | Students can understand and evaluate advantages and limitations of technological platforms in life sciences including genomics, genetic engineering and biotechnology. | 3 |
| 14) | Students would have consciousness on subjects such as the quality management, worker welfare and safety. | 1 |
Learning Activity and Teaching Methods
| Anlatım | |
| Bireysel çalışma ve ödevi | |
| Course | |
| Grup çalışması ve ödevi | |
| Okuma | |
| Homework |
Measurement and Evaluation Methods and Criteria
| Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama) | |
| Homework | |
| Sunum |
Assessment & Grading
| Semester Requirements | Number of Activities | Level of Contribution |
| Attendance | 52 | % 10 |
| Homework Assignments | 2 | % 10 |
| Presentation | 1 | % 10 |
| Midterms | 1 | % 30 |
| Final | 2 | % 40 |
| total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 60 | |
| PERCENTAGE OF FINAL WORK | % 40 | |
| total | % 100 | |
İş Yükü ve AKTS Kredisi Hesaplaması
| Activities | Number of Activities | Aktiviteye Hazırlık | Aktivitede Harçanan Süre | Aktivite Gereksinimi İçin Süre | Workload | ||
| Course Hours | 14 | 3 | 42 | ||||
| Presentations / Seminar | 1 | 25 | 25 | ||||
| Homework Assignments | 2 | 4 | 8 | ||||
| Midterms | 1 | 30 | 30 | ||||
| Final | 1 | 30 | 30 | ||||
| Total Workload | 135 | ||||||