Course Information
SemesterCourse Unit CodeCourse Unit TitleT+P+LCreditNumber of ECTS CreditsLast Updated Date
1MED 137Bioinformatics28+14+02227.03.2026

 
Course Details
Language of Instruction English
Level of Course Unit Bachelor's Degree
Department / Program School of Medicine (English)
Type of Program Formal Education
Type of Course Unit Compulsory
Course Delivery Method Face To Face
Objectives of the Course The aim of this course is to provide necessary background for carrying out basic bioinformatics research. It aims to convey algorithmic solutions to core problems in biology and medicine. It also aims to stimulate medical students to look at the common problems they will be dealing with from different perspectives.
Course Content Lectures, Presentations, Projects and Applications in Laboratory
Course Methods and Techniques
Prerequisites and co-requisities None
Course Coordinator Prof. Dr. Uğur Sezerman
Name of Lecturers Prof. Dr. Uğur Sezerman
Assistants Other (Academic) Yok
Work Placement(s) No

Recommended or Required Reading
Resources https://www.amazon.com/Bioinformatics-Dummies-Jean-Michel-Claverie/dp/0470089857/ref=sr_1_6?s=books&ie=UTF8&qid=1540474703&sr=1-6&keywords=bioinformatics
https://www.amazon.com/Introduction-Computational-Molecular-Biology-Setubal/dp/0534952623
https://www.amazon.com/Introduction-Bioinformatics-Arthur-Lesk/dp/0199651566/ref=sr_1_2?s=books&ie=UTF8&qid=1540474703&sr=1-2&keywords=bioinformatics
Course Notes Projects, Homeworks and Exams

Course Category
Health %100

Planned Learning Activities and Teaching Methods
Activities are given in detail in the section of "Assessment Methods and Criteria" and "Workload Calculation"

Assessment Methods and Criteria
In-Term Studies Quantity Percentage
Final Exam of Biomedical Subject Committee I 1 % 30
Final Exam of Biomedical Subject Committee II 1 % 40
Assignment 1 % 10
Project 1 % 20
Total
4
% 100

 
ECTS Allocated Based on Student Workload
Activities Quantity Duration Total Work Load
Course Duration 1 28 28
Hours for off-the-c.r.stud 1 23 23
Laboratory 1 14 14
Total Work Load   Number of ECTS Credits 2 65

 
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
NoLearning Outcomes
1 Define impact of mutations
2 Analyze local, semi global and global sequence alignments and interpret the results
3 Perform Fast database search
4 Obtain genome sequences using fragment assembly
5 Design physical mapping of DNA
6 Perform Phylogenetic analysis
7 Build DNA and protein sequence profiles and use them in relation to disease diagnostics
8 Define state of the art bioinformatics databases, tools and servers

 
Weekly Detailed Course Contents
WeekTopicsStudy MaterialsMaterials
1 Define impact of mutations
2 Analyze local, semi global and global sequence alignments and interpret the results
4 Obtain genome sequences using fragment assembly
6 Build DNA and protein sequence profiles and use them in relation to disease diagnostics

 
Contribution of Learning Outcomes to Programme Outcomes
P1 P2 P3 P4 P5 P6 P7 P8 P9 P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 P20 P21 P22 P23 P24 P25 P26 P27 P28 P29 P30 P31 P32 P33 P34
All 3 5 4 3 1 2 3 3 5
C1
C2
C3
C4
C5
C6
C7
C8

  Additive Level: 1: Very Low 2: Low 3: Medium 4: High 5: Very High

  
  https://obs.acibadem.edu.tr/oibs/bologna/progCourseDetails.aspx?curCourse=429290&lang=en