TYPE OF COURSE UNIT	Compulsory Course
LEVEL OF COURSE UNIT	Bachelor's Degree
YEAR OF STUDY	2
SEMESTER	Third Term (Fall)
NUMBER OF ECTS CREDITS ALLOCATED	2
NAME OF LECTURER(S)	Assistant Professor Oğuz Balcı
LEARNING OUTCOMES OF THE COURSE UNIT	At the end of this course, the students; 1) Learn how to use internet in literature search. 2) Learn biological literature search engines and how to carry out searches in databases. 3) Analyze and evaluate data obtained from molecular biology and genetics related experimental studies using basic calculations in Excel software. 4) Create a graphic to present experimental study results using Excel software, and learn employment of basic functions such as curve fitting and equation derivation. 5) Analyze and evaluate results of molecular biology and genetics related experimental studies using ImageJ software.
MODE OF DELIVERY	Face to face
PRE-REQUISITES OF THE COURSE	No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT	None
COURSE DEFINITION	In this course, students will learn biological literature organization, essential sources for searching in molecular biology and genetics related literature and databases, and learn how to choose the right source for their needs. Basic concepts of Microsoft Excel and applications of image analysis software, ImageJ, will also be introduced to undergraduate students in this course.
COURSE CONTENTS	WEEK TOPICS 1st Week Relationship between biological sciences and informatics 2nd Week Usage of internet in literature search, and utilization of library electronic sources 3rd Week Introduction to Excel software, and display elements, equations, data processes, standard deviation, mean calculations, graphic creation, linear regression 4th Week Usage of Excel software in concentration calculations based on standard curves derived from spectrophotometric readings 5th Week Standard curves derived from protein analysis results, and concentration calculations 6th Week Usage of Excel software in cell viability, toxicity, and analysis 7th Week Usage of Excel and ImageJ softwares in cell count analysis 8th Week Midterm Exam 9th Week Usage of Excel software in cell growth analysis 10th Week Analysis of nucleic acids and Excel usage: DNA concentration calculations based on standard curves derived from PicoGreen analysis results 11th Week Excel and ImageJ usage in electrophoresis applications: densitometry; DNA fragment analysis in gel electrophoresis 12th Week Biological databases: NCBI (BLAST, protein model databases, protein structure databases, protein sequence database, nucleotide sequence databases, RNA sequence databases) 13th Week Real-Time PCR primer and probe design and usage of UCSC In-Silico PCR gene tool 14th Week Discussion
RECOMENDED OR REQUIRED READING	Lecture notes, electronic resources
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS	Lecture,Problem Solving,Questions/Answers,Discussion,Practice,Presentation
ASSESSMENT METHODS AND CRITERIA	Quantity Percentage(%) Mid-term 1 40 Assignment 5 15 Total(%) 55 Contribution of In-term Studies to Overall Grade(%) 55 Contribution of Final Examination to Overall Grade(%) 45 Total(%) 100
ECTS WORKLOAD	Activities Number Hours Workload Midterm exam 1 2 2 Preparation for Quiz Individual or group work Preparation for Final exam 1 10 10 Course hours 13 2 26 Preparation for Midterm exam 1 10 10 Laboratory (including preparation) Final exam 1 2 2 Homework 5 2 10 Total Workload 60 Total Workload / 30 2 ECTS Credits of the Course 2
LANGUAGE OF INSTRUCTION	Turkish
WORK PLACEMENT(S)	No