ARTIFICIAL INTELLIGENCE ENGINEERING
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

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.

Basic information

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.

Learning Outcomes

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)

Course Content

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.

Weekly Detailed Course Contents

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

Sources

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

Evaluation System

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

ECTS / Workload Table

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

Contribution of Learning Outcomes to Programme Outcomes

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.