SOFTWARE 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)	Be able to specify functional and non-functional attributes of software projects, processes and products.
2)	Be able to design software architecture, components, interfaces and subcomponents of a system for complex engineering problems.
3)	Be able to develop a complex software system with in terms of code development, verification, testing and debugging.
4)	Be able to verify software by testing its program behavior through expected results for a complex engineering problem.
5)	Be able to maintain a complex software system due to working environment changes, new user demands and software errors that occur during operation.
6)	Be able to monitor and control changes in the complex software system, to integrate the software with other systems, and to plan and manage new releases systematically.
7)	Be able to identify, evaluate, measure, manage and apply complex software system life cycle processes in software development by working within and interdisciplinary teams.
8)	Be able to use various tools and methods to collect software requirements, design, develop, test and maintain software under realistic constraints and conditions in complex engineering problems.
9)	Be able to define basic quality metrics, apply software life cycle processes, measure software quality, identify quality model characteristics, apply standards and be able to use them to analyze, design, develop, verify and test complex software system.
10)	Be able to gain technical information about other disciplines such as sustainable development that have common boundaries with software engineering such as mathematics, science, computer engineering, industrial engineering, systems engineering, economics, management and be able to create innovative ideas in entrepreneurship activities.
11)	Be able to grasp software engineering culture and concept of ethics and have the basic information of applying them in the software engineering and learn and successfully apply necessary technical skills through professional life.
12)	Be able to write active reports using foreign languages and Turkish, understand written reports, prepare design and production reports, make effective presentations, give clear and understandable instructions.
13)	Be able to have knowledge about the effects of engineering applications on health, environment and security in universal and societal dimensions and the problems of engineering in the era and the legal consequences of engineering solutions.