MATHEMATICS (TURKISH, PHD)
PhD TR-NQF-HE: Level 8 QF-EHEA: Third Cycle EQF-LLL: Level 8

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
BNG5410 Genetic Engineering Fall 3 0 3 12
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: En
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Prof. Dr. GÜLAY BULUT
Course Objectives: The objective of this course is to recognize the connection between the areas of genetic engineering, biotechnology, recombinant DNA technology and transgenic technologies, to gain information about the current technologies in genetic engineering and to learn their applications in different areas.

Learning Outputs

The students who have succeeded in this course;
1. Define about processes and techniques used in gene manipulation.
2. Discuss transgenic technology.
3. Recognize the applications of genetic engineering.
4. Discuss the integration of genetic engineering to biotechnology.
5. Recognize the most recent technologies used in genetic engineering.
6. Discuss the new improvements in genetic engineering.
7. Discuss the importance of interdiciplinary work.
8. Discuss scientific articles.

Course Content

The basic mechanisms of molecular biology and genetics, gene manipulation process, techniques used in recombinant DNA technology, applications of genetic engineering in medicine, agriculture, environment and industry, ethical/biosafety issues and current developments in genetic engineering will be discussed.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Genetic Engineering: Introduction Reading
2) Basic mechanisms in genetics and molecular biology Reading
3) Recombinat DNA technology: The methodology of gene manipulation I Reading
4) Recombinant DNA technology: The methodology of gene manipulation II Reading
5) Working with nucleic acids: Fundamental techniques used in gene manipulation I Reading
6) Working with nucleic acids: Fundamental techniques used in gene manipulation II Reading
7) Application of genetic engineering in research, medicine and forensic science Reading
8) Application of genetic engineering in agriculture, environment and industry Reading
9) Ethical issues and biosafety regulations in genetic engineering and transgenics Reading
10) Article review: Special topics in genetic engineering Reading
11) Article review: Special topics in genetic engineering
12) Article review: Current developments in genetic engineering Reading
13) Article review: Current developments in genetic engineering Reading
14) Article review: Current developments in genetic engineering Reading

Sources

Course Notes: Selected articles and course notes will be supplied.
References: 1)An Introduction to Genetic Engineering, Nicholl DST, 2008, 3rd edition, Cambridge University Press, UK, ISBN-13 978-0-521-61521-1. 2)Genetic Engineering, Harry LeVine III, 2006, 2nd edition, ABC-CLIO, Inc., USA, ISBN 1-85109-860-7. 3)Principles of Gene Manipulation and Genomics, Primrose SB and Twyman RM, 2006, 7th edition, Blackwee Publishing, UK, ISBN 1-4051-3544-1.

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 1 % 5
Laboratory 0 % 0
Application 0 % 0
Field Work 0 % 0
Special Course Internship (Work Placement) 0 % 0
Quizzes 0 % 0
Homework Assignments 1 % 20
Presentation 1 % 25
Project 0 % 0
Seminar 0 % 0
Midterms 0 % 0
Preliminary Jury 0 % 0
Final 1 % 50
Paper Submission 0 % 0
Jury 0 % 0
Bütünleme % 0
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 4 56
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 7 98
Presentations / Seminar 0 0 0
Project 0 0 0
Homework Assignments 1 0 0
Quizzes 0 0 0
Preliminary Jury 0 0 0
Midterms 1 20 20
Paper Submission 0 0 0
Jury 0 0 0
Final 1 30 30
Total Workload 204

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution