ARTIFICIAL INTELLIGENCE ENGINEERING | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
MBG3002 | Techniques in Biological Sciences | Spring |
3 | 0 | 3 | 7 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
Language of instruction: | English |
Type of course: | Non-Departmental Elective |
Course Level: | Bachelor’s Degree (First Cycle) |
Mode of Delivery: | Face to face |
Course Coordinator : | Dr. Öğr. Üyesi EMİNE KANDEMİŞ |
Recommended Optional Program Components: | There is none. |
Course Objectives: | The aim of this course is to form a substantial theoretical basis to understand key experimental techniques used in modern molecular biology research. |
The students who have succeeded in this course; 1. Discuss DNA isolation, quantification, agarose gel electrophoresis 2. Define Polymerase Chain Reaction (PCR), principle, basic applications, optimization 3. Define Recombinant DNA technology (gene overexpression and silencing vectors, cloning, transfection, transformation) 4. Evaluate DNA Sequence analysis, Southern Blot 5. Define about RNA isolation, quantification, cDNA synthesis, cDNA library construction 6. Define Q-PCR, RT-PCR. miRNA 7. Define Microarray analysis and Northern Blot 8. Identify about Protein isolation, quantification, SDS-PAGE, Commassie Staining 9. Discuss Western Blot, Immunostaining, Protein imaging techniques 10. Define Protein purification techniques 11. Evaluate about Protein-protein interaction analysis (phage display, yeast two hybrid) |
Experimental techniques course will provide an intensive exposure to the experimental techniques used in molecular biology. It is mainly based on DNA, RNa and protein analysis techniques. |
Week | Subject | Related Preparation |
1) | Introduction to course | Reading |
2) | DNA isolation, quantification, agarose gel electrophoresis | Reading |
3) | Polymerase Chain Reaction (PCR), principle, basic applications, optimization | Reading |
4) | Recombinant DNA technology (gene overexpression and silencing vectors, cloning, transfection, transformation) | Reading |
5) | DNA Sequence analysis, Southern Blot | Reading |
6) | RNA isolation, quantification, cDNA synthesis, cDNA library construction | Reading |
7) | Q-PCR, RT-PCR. miRNA | Reading |
8) | Microarray analysis and Northern Blot I | Reading |
9) | Microarray analysis and Northern Blot II | Reading |
10) | Protein isolation, quantification, SDS-PAGE, Commassie Staining | Reading |
11) | Western Blot, Immunostaining, Protein imaging | Reading |
12) | Protein purification techniques | Reading |
13) | Protein-protein interaction analysis (phage display, yeast two hybrid)-I | Reading |
14) | Protein-protein interaction analysis (phage display, yeast two hybrid)-II | Reading |
Course Notes / Textbooks: | Ders notları haftalık olarak verilecektir. Course notes will be supplied weekly. |
References: | 1. Current Protocols in Molecular Biology, Wiley Online Library, ISBN: 9780471142720 2. Lab Math, Dany Spencer Adams, CSHL Press, 2003, ISBN 0879696346, 9780879696344 3. Lab Ref, Albert S. Mellick, Linda Rodgers Cold Spring Harbor Laboratory Press, ISBN-13: 978-0879698157 4. Molecular Cloning: A Laboratory Manual, Joseph Sambrook, David William Russell, CSHL Press, 2001, ISBN 0879695773, 9780879695774 |
Semester Requirements | Number of Activities | Level of Contribution |
Attendance | 1 | % 5 |
Quizzes | 2 | % 20 |
Midterms | 1 | % 25 |
Final | 1 | % 50 |
Total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 50 | |
PERCENTAGE OF FINAL WORK | % 50 | |
Total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 14 | 3 | 42 |
Study Hours Out of Class | 14 | 7 | 98 |
Midterms | 1 | 17 | 17 |
Final | 1 | 18 | 18 |
Total Workload | 175 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Have sufficient background in mathematics, science and artificial intelligence engineering. | |
2) | Use theoretical and applied knowledge in the fields of mathematics, science and artificial intelligence engineering together for engineering solutions. | |
3) | Identify, define, formulate and solve engineering problems, select and apply appropriate analytical methods and modeling techniques for this purpose. | |
4) | Analyse a system, system component or process and design it under realistic constraints to meet desired requirements; apply modern design methods in this direction. | |
5) | Select and use modern techniques and tools necessary for engineering applications. | |
6) | Design and conduct experiments, collect data, and analyse and interpret results. | |
7) | Work effectively both as an individual and as a multi-disciplinary team member. | |
8) | Access information via conducting literature research, using databases and other resources | |
9) | Follow the developments in science and technology and constantly update themself with an awareness of the necessity of lifelong learning. | |
10) | Use information and communication technologies together with computer software with at least the European Computer License Advanced Level required by their field. | |
11) | Communicate effectively, both verbal and written; know a foreign language at least at the European Language Portfolio B1 General Level. | |
12) | Have an awareness of the universal and social impacts of engineering solutions and applications; know about entrepreneurship and innovation; and have an awareness of the problems of the age. | |
13) | Have a sense of professional and ethical responsibility. | |
14) | Have an awareness of project management, workplace practices, employee health, environment and work safety; know the legal consequences of engineering practices. |