Molecular Biology and Genetics (English) Preview
Bachelor	TR-NQF-HE: Level 6	QF-EHEA: First Cycle	EQF-LLL: Level 6

Course Introduction and Application Information

Course Code:

MBG302

Course Name:

Bioinformatics and Biostatistics

Semester:

Spring

Course Credits:

ECTS

Language of instruction:

English

Course Condition:

Does the Course Require Work Experience?:

Type of course:

Compulsory Courses

Course Level:

Bachelor

TR-NQF-HE:6. Master`s Degree

QF-EHEA:First Cycle

EQF-LLL:6. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator:

Araş. Gör. KAAN ADACAN

Course Lecturer(s):

Dr. Öğr. Üy. ASLI KUTLU

Course Assistants:

Course Objective and Content

Course Objectives:

The objective of this course could be summarized as knowing the background information of bioinformatic algorithms, their plausible applications and the interpretation of bioinformatic outputs. In the second part of this course, we aim to teach the basics of biostatistical application to differentiate the importance level of outputs that students obtain from experiments. Also, we aim to make them familiar about using matlab tools for further annotation of results.

Course Content:

The content of this course is to teach the basic molecular biology and genetics techniques through computational methods. Here, it is expected from students to gain background about the development of bioinformatics tools through the existed algorithms. Also, it is important to combine the results of experiments with results coming from bioinformatics tools together with the utilization of computational tools to verify the wet-lab results. In the second part of the course, the basis of biostatistics will be given to understand more about the experimental design, validation and evaluation approaches. The basics of Matlab will be introduced to perform the statistical analysis with computer tools.

Learning Outcomes

The students who have succeeded in this course;
1) Understand the basis of algorithm used in RNA and DNA sequence analysis
2) Able to cover the basics of pam, blast and DNA mapping approaches in bioinformatics
3) Able to use basic functions of bioinformatics
4) Able to know how to track evolutionary pathways by using bioinformatic tools
5) Have an idea about which test is used for which purposes in biostatics

Course Flow Plan

Week	Subject	Related Preparation
1)	Introduction to basic molecular biology and genetic concepts
2)	Sequence alignment algorithms: Global, Local and Semi- Global alignment
3)	Multiple sequence alignment algorithms
4)	Database applications: PAM, BLOSSSUM and FASTA 1
5)	Database applications: PAM, BLOSSSUM and FASTA 2
6)	Physical mapping of DNA
7)	Introduction to biostatistics & Basics definitions
8)	Midterm week
9)	Hypothesis testing 1
10)	Hypothesis testing 2
11)	Descriptive statistics
12)	Tests for one measurable variable
13)	How to apply the biostatistics to molecular biology & genetics: Case studies 1
14)	How to apply the biostatistics to molecular biology & genetics: Case studies 2
15)	Finals Week

Sources

Course Notes / Textbooks:	Cancer Bioinformatics, Springer (Ying Xu , Juan Cui , David Puett); Applied Bioinformatics: An introduction, Springer (Paul M. Selzer , Richard J. Marhöfer , Oliver Koch)
References:	Literatürde yer alan seçili yayınlar

Course - Program Learning Outcome Relationship

Course Learning Outcomes	1	2	3	4	5
Program Outcomes
1) Has a theoretical and practical background in biology, chemistry, physics and mathematics, which constitute the basic knowledge in the field of molecular biology and genetics.
2) Can explain biological phenomena and events at molecular level and relate them to other basic sciences and engineering applications.
3) Has the basic laboratory knowledge and skills required by the field.
4) Works in accordance with scientific principles and ethical rules.
5) Uses procedural and mathematical software programs required for the analysis and basic evaluation of biological data at least at the European Computer License Basic Level.
6) Has the knowledge, culture and skills to follow the literature and current methods related to his field.
7) Will be able to identify the main problem in line with the needs in health, agriculture, animal husbandry, environment, industry and similar issues and offer the necessary solutions by using up-to-date technology.
8) Has the knowledge and ability to evaluate biological phenomena and events at the level of systems from an evolutionary point of view.
9) Has the ability to be involved in individual and group work, to prepare and carry out projects on specific topics, and to make written and oral presentations.
10) Uses at least one foreign language in reading, writing and speaking at B1 General Level in terms of European Language Portfolio criteria.
11) Has the ability to identify social and global problems using his / her field knowledge and to be a part of the solution in interdisciplinary cooperation.
12) Respects social, cultural and individual differences, universal values and human rights in his / her scientific and professional activities.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Average	3 Highest

	Program Outcomes	Level of Contribution
1)	Has a theoretical and practical background in biology, chemistry, physics and mathematics, which constitute the basic knowledge in the field of molecular biology and genetics.	2
2)	Can explain biological phenomena and events at molecular level and relate them to other basic sciences and engineering applications.
3)	Has the basic laboratory knowledge and skills required by the field.
4)	Works in accordance with scientific principles and ethical rules.
5)	Uses procedural and mathematical software programs required for the analysis and basic evaluation of biological data at least at the European Computer License Basic Level.	3
6)	Has the knowledge, culture and skills to follow the literature and current methods related to his field.
7)	Will be able to identify the main problem in line with the needs in health, agriculture, animal husbandry, environment, industry and similar issues and offer the necessary solutions by using up-to-date technology.
8)	Has the knowledge and ability to evaluate biological phenomena and events at the level of systems from an evolutionary point of view.	3
9)	Has the ability to be involved in individual and group work, to prepare and carry out projects on specific topics, and to make written and oral presentations.
10)	Uses at least one foreign language in reading, writing and speaking at B1 General Level in terms of European Language Portfolio criteria.
11)	Has the ability to identify social and global problems using his / her field knowledge and to be a part of the solution in interdisciplinary cooperation.
12)	Respects social, cultural and individual differences, universal values and human rights in his / her scientific and professional activities.

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Midterms	1	% 40
Final	1	% 60
total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
total		% 100

Workload and ECTS Credit Calculation

Activities	Number of Activities	Preparation for the Activity	Spent for the Activity Itself	Completing the Activity Requirements	Workload
Course Hours	13	0	3		39
Laboratory	13	0	2		26
Study Hours Out of Class	13	0	3		39
Quizzes	5	0	1		5
Midterms	1	0	10		10
Final	1	0	20		20
Total Workload					139