Information Package
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Program of Molecular Biology and Genetics (English)

MBGE215

INFORMATICS TECHNOLOGIES FOR BIOLOGICAL SCIENCES

Course Code
MBGE215
Semester
Third Term (Fall)
Theory+Practice
0 + 2
ECTS
2
Course TypeCompulsory Course
Course LevelBachelor's Degree
Year of Study2
SemesterThird Term (Fall)
ECTS2
Name of Lecturer(s)
Learning Outcomes

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 DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionIn 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 Usage of Excel software in cell growth analysis
9th Week Analysis of nucleic acids and Excel usage: DNA concentration calculations based on standard curves derived from PicoGreen analysis results
10th Week Excel and ImageJ usage in electrophoresis applications: densitometry, DNA fragment analysis in gel electrophoresis
11th Week Biological databases: NCBI (BLAST, protein model databases, protein structure databases, protein sequence databases, nucleotide sequence databases, RNA sequence databases)
12th Week Real-Time PCR primer and probe design
13th Week Usage of UCSC In-Silico PCR gene tool
14th Week Discussion
Recommended or Required ReadingLecture notes, electronic resources.
Planned Learning Activities and Teaching Methods
  • Lecture
  • Discussion
  • Questions/Answers
  • Problem Solving
  • 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 Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz
Individual or group work
Preparation for Final exam 1 10 10
Course hours 14 2 28
Preparation for Midterm exam 1 10 10
Laboratory (including preparation)
Final exam 1 2 2
Homework 5 2 10
Total Work Load62
Total Work Load / 30 (h)2.06
ECTS Credit of the Course2
Language of InstructionEnglish
Work Placement(s)No

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