| Semester | Course Unit Code | Course Unit Title | T+P+L | Credit | Number of ECTS Credits | Last Updated Date |
|
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
|
|
Category of Course Unit
|
Seçmeli Ortak Dersler
|
|
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. UÄŸur Sezerman
|
|
Name of Lecturers
|
Prof. Dr. UÄŸur 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
|
|
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
|
|
Total
|
4
|
%
100
|
ECTS Allocated Based on Student Workload
|
Activities
|
Total Work Load
|
|
Total Work Load
| |
|
Number of ECTS Credits 2
65
|
Course Learning Outcomes: Upon the successful completion of this course, students will be able to:
Weekly Detailed Course Contents
| Week | Topics | Study Materials | Materials |
Contribution of Learning Outcomes to Programme Outcomes
Additive Level: 1: Very Low 2: Low 3: Medium 4: High 5: Very High