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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
BIY 409BIOLOGICAL APPLICATIONS ON COMPUTER2 + 07th Semester 

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective To aim expressing data, analyzes and signs in biology field via computer which is informatics device.
Course Content Biological signs,Informatics systems in biology, Analytic system supported computer, Exemplify using computer in biology fields.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.
Mode of Delivery Face to Face

COURSE LEARNING OUTCOMES
1Will be able to explain making up and properties of biological signs.
2Will be able to define converter using in sensation of biological signs.
3Will be able to apply biological resolution ways in informatics systems.
4Will be able to explain basic information about making up computer.
5Will be able to realize taking computer, processing and monitoring of biological sings.
6Will be able to express biological signs, keeping monitor and transmission.
7Will be able to plan analytic system supported computer.
8Will be able to exemplify using computer in biology fields.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12
LO 001 453        
LO 002345     345 
LO 003            
LO 0044  3        
LO 0055  4        
LO 006            
LO 007   4 23     
LO 008            
Sub Total1281014 23 345 
Contribution211200000110

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)13226
Assignments111
Exam23264
Total Work Load

ECTS Credit of the Course






91

COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2020-2021 Fall1GÜRÇAY KIVANÇ AKYILDIZ


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester
BIY 409 BIOLOGICAL APPLICATIONS ON COMPUTER 2 + 0 1 Turkish 2020-2021 Fall
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Asts. Prof. Dr. GÜRÇAY KIVANÇ AKYILDIZ gkakyildiz@pau.edu.tr FEN B0112 %70
Goals To aim expressing data, analyzes and signs in biology field via computer which is informatics device.
Content Biological signs,Informatics systems in biology, Analytic system supported computer, Exemplify using computer in biology fields.
Topics
WeeksTopics
1 Introduction to Computer Applications in Biology, General introduction of software and programs to be used.
2 Data set, data analysis and data mining definitions.
3 Open source access portals and licensed softwares.
4 Installing R studio and introduction to R software.
5 Basic operations by using R codes and introduction to matrix, vector and data sets in R.
6 Basic statistical calculations related with Biology in R and developing specific R functions oriented to need – Part I
7 Basic statistical calculations related with Biology in R and developing specific R functions oriented to need – Part II
8 Multivariate analysis and ordination plots
9 Explaining table(), length() functions and loop operators which are used in the field of bioinformatics.
10 Introduction to DNA sequence statistics and use of SeqinR() function
11 Connecting to the NCBI database and creating a query, finding the relevant sequence for a particular genome.
12 Installation and introduction to ImageJ software
13 Measurement, calibration and scaling with ImageJ
14 Introduction to Latex and Texmaker softwares.
Materials
Materials are not specified.
Resources
ResourcesResources Language
An introduction to R https://cran.r-project.org/doc/manuals/r-release/R-intro.pdfEnglish
A little book of R for Bioinformatics Release 0.1 Avril Coghlan 2017English
ImageJ user Guide https://imagej.nih.gov/ij/docs/guide/user-guide.pdfEnglish
Latex for Beginner http://www.docs.is.ed.ac.uk/skills/documents/3722/3722-2014.pdfEnglish
İlgili öğretim elemanı tarafından hazırlanmış görsel işitsel konu anlatım dosyalarıTürkçe
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam50Final Exam
Midterm Exam50Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes