MBG3004 GeneticsBahçeşehir UniversityDegree Programs COMPUTER ENGINEERINGGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
COMPUTER 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
MBG3004 Genetics 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 main objective of the course is to provide an understanding of the principles and concepts of genetics and its applications in biological sciences.

Learning Outcomes

The students who have succeeded in this course;
1. Introduction to course, define basic concepts in genetics
2. Define DNA as the genetic material
3. Evaluate gene structure and function
4. Discuss outcomes of DNA variations
5. Define Mendelian genetics
6. Identify how chromosomes function in inheritance
7. Differentiate Non-Mendelian genetics from Mendelian genetics
8. Describe genomics and mapping of genomic sequences
9. Define dynamic aspects of genomics
10. Recognize relevance of genetics in cancer
11. Identify genetic composition of biological populations
12. Discuss theories on adaptation and evolution

Course Content

Genetics,which is a discipline of biology, is the study of genes, heredity, and variation in living organisms. The course content includes molecular structure and function of genes, gene behavior in the context of a cell or organism (e.g. dominance and epigenetics), patterns of inheritance from parent to offspring, and gene distribution, variation and change in populations.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Genetics, Introduction Reading
2) DNA as the Genetic Material Reading
3) Gene Structure and Function Reading
4) DNA Mutation, DNA Repair, and Transposable Elements Reading
5) Mendelian Genetics Reading
6) Chromosomal Basis of Inheritance Reading
7) Non-Mendelian Genetics I Reading
8) Non-Mendelian Genetics II Reading
9) Genomics: The Mapping and Sequencing of Genomes and Genetic Mapping in Eukaryotes Reading
10) Functional and Comparative Genomics Reading
11) SNPs and GWAS Reading
12) Genetics of Cancer Reading
13) Population Genetics Reading
14) Molecular Evolution Reading

Sources

Course Notes / Textbooks: Ders notları haftalık olarak verilecektir.
Course notes will be supplied weekly.

References: 1. iGenetics: A Molecular Approach with Mastering Genetics, Peter J. Russell, Third Edition, Pearson Education Inc., 2010 (ISBN-13: 978-0-321-56976-9)
2. Concepts of Genetics, William S. Klug, Michael R. Cummings, Tenth Edition, Pearson Benjamin Cummings, 2011 (ISBN-13: 978-0321732330)
3. Genes X, Jocelyn E. Krebs, Elliott S. Goldstein, Stephen T. Kilpatrick
Jones & Bartlett Publishers, 2009 (ISBN-13: 978-0763766320)

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 1 % 5
Laboratory 1 % 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
Application 12 2 24
Study Hours Out of Class 14 5 70
Midterms 1 19 19
Final 1 20 20
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) Adequate knowledge in mathematics, science and computer engineering; the ability to use theoretical and practical knowledge in these areas in complex engineering problems.
2) Ability to identify, formulate, and solve complex engineering problems; ability to select and apply appropriate analysis and modeling methods for this purpose. 2
3) Ability to design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; ability to apply modern design methods for this purpose. 3
4) Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in computer engineering applications; ability to use information technologies effectively.
5) Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or computer engineering research topics. 3
6) Ability to work effectively within and multi-disciplinary teams; individual study skills. 2
7) Ability to communicate effectively in verbal and written Turkish; knowledge of at least one foreign language; ability to write active reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions.
8) Awareness of the necessity of lifelong learning; ability to access information, to follow developments in science and technology and to renew continuously.
9) To act in accordance with ethical principles, professional and ethical responsibility; information on the standards used in engineering applications.
10) Information on business practices such as project management, risk management and change management; awareness of entrepreneurship and innovation; information about sustainable development.
11) Knowledge of the effects of engineering practices on health, environment and safety in the universal and social scale and the problems of the era reflected in engineering; awareness of the legal consequences of engineering solutions.