MOLECULAR BIOLOGY AND GENETICS (MASTER) (WHIT THESIS) | |||||
Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 |
Course Code: | 3000002009 | ||||||||
Ders İsmi: | Bioinformatic | ||||||||
Ders Yarıyılı: |
Spring |
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Ders Kredileri: |
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Language of instruction: | |||||||||
Ders Koşulu: | |||||||||
Ders İş Deneyimini Gerektiriyor mu?: | No | ||||||||
Type of course: | Anabilim Dalı/Lisansüstü Seçmeli | ||||||||
Course Level: |
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Mode of Delivery: | Face to face | ||||||||
Course Coordinator : | Dr.Öğr.Üyesi Banu TAKTAK KARACA | ||||||||
Course Lecturer(s): | |||||||||
Course Assistants: |
Course Objectives: | Learn about bioinformatics which is a multidisciplinary field at the cross section of molecular biology and computer science. Become knowledgeable about the storage, retrieval, sharing and use of biological data, information, and various tools. Gain familiarity with algorithms used in bioinformatics. |
Course Content: | Overview of bioinformatics, Access to Sequence Data and Literature Information, Pairwise Sequence Alignment, Basic Global and Local Alignment Search Tool (BLAST), Advanced BLAST Searching, Multiple Sequence Alignment, PSI-BLAST and Hidden Markov Model (HMM), Phylogeny. |
The students who have succeeded in this course;
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Week | Subject | Related Preparation |
1) | Introduction to computational biology | Textbook |
2) | Protein sequence analysis | Textbook |
3) | Nucleic acid sequence analysis | Textbook |
4) | Phylogenetic analysis | Textbook |
5) | Binding motifs, Hidden Markov models, 3D structure estimations and modeling | Textbook |
6) | An overvıew of emerging fields; expression analysis, digital image processing, modeling of the cellular signalling pathways | Textbook |
7) | Biomedical information technology; design of the modern information systems related with the biological and medical data | Textbook |
8) | Ara sınav / Midterm | |
9) | Data exchange protocols and computer modeling architecture | Textbook |
10) | Computational neutobiology;; introduction to the nerve system, physiology of the nerve and muscle cells, delivery of signal through synapses and the perception at muscle cells | Textbook |
11) | Advanced biological modeling: The arrangement and analysis of real mathematic models describing biological and engineering processes | Textbook |
12) | Computer algebra systems | |
13) | Methods of disorder, introduction to the optimization | |
14) | Presentation of projects | |
15) | Final Exam |
Course Notes / Textbooks: | Bioinformatics: Sequence and Genome Analysis, by D.Mount, 2004 Structural Bioinformatics, Bourne PE and Weissig H, John Wiley & Sons, 2003 Bioinformatics: Sequence Alignment and Markov Models, by K.R.Sharma, McGraw Hill 2009. Computational Text Analysis for Functional Genomics and Bioinformatics, RayChaudhuri S, Oxford U Press, 2006 |
References: | Bioinformatics: Sequence and Genome Analysis, by D.Mount, 2004 Structural Bioinformatics, Bourne PE and Weissig H, John Wiley & Sons, 2003 Bioinformatics: Sequence Alignment and Markov Models, by K.R.Sharma, McGraw Hill 2009. Computational Text Analysis for Functional Genomics and Bioinformatics, RayChaudhuri S, Oxford U Press, 2006 |
Ders Öğrenme Kazanımları | 1 |
2 |
3 |
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Program Outcomes | |||||||||||||||
1) Possess advanced level theoretical and practical knowledge supported by textbooks with updated information, practice equipments and other resources. | |||||||||||||||
2) Use of advanced theoretical and practical knowledge within the field. | |||||||||||||||
3) Interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the field. | |||||||||||||||
4) Inform people and institutions, transfer ideas and solution proposals to problems in written and orally on issues in the field. | |||||||||||||||
5) Share the ideas and solution proposals to problems on issues in the field with professionals and non-professionals by the support of qualitative and quantitative data. | |||||||||||||||
6) Organize and implement project and activities for social environment with a sense of social responsibility. | |||||||||||||||
7) Monitor the developments in the field and communicate with peers by using a foreign language at least at a level of European Language Portfolio B1 General Level. | |||||||||||||||
8) Use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge. | |||||||||||||||
9) Evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach. | |||||||||||||||
10) Determine learning needs and direct the learning. | |||||||||||||||
11) Develop positive attitude towards lifelong learning. | |||||||||||||||
12) Act in accordance with social, scientific, cultural and ethic values on the stages of gathering, implementation and release of the results of data related to the field. | |||||||||||||||
13) Possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also, environmental protection, worker's health and security. | |||||||||||||||
14) Conduct studies at an advanced level in the field independently. | |||||||||||||||
15) Take responsibility both as a team member and individually in order to solve unexpected complex problems faced within the implementations in the field. | |||||||||||||||
16) Planning and managing activities towards the development of subordinates in the framework of a project. |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Possess advanced level theoretical and practical knowledge supported by textbooks with updated information, practice equipments and other resources. | |
2) | Use of advanced theoretical and practical knowledge within the field. | |
3) | Interpret and evaluate data, define and analyze problems, develop solutions based on research and proofs by using acquired advanced knowledge and skills within the field. | |
4) | Inform people and institutions, transfer ideas and solution proposals to problems in written and orally on issues in the field. | |
5) | Share the ideas and solution proposals to problems on issues in the field with professionals and non-professionals by the support of qualitative and quantitative data. | |
6) | Organize and implement project and activities for social environment with a sense of social responsibility. | |
7) | Monitor the developments in the field and communicate with peers by using a foreign language at least at a level of European Language Portfolio B1 General Level. | |
8) | Use informatics and communication technologies with at least a minimum level of European Computer Driving License Advanced Level software knowledge. | |
9) | Evaluate the knowledge and skills acquired at an advanced level in the field with a critical approach. | |
10) | Determine learning needs and direct the learning. | |
11) | Develop positive attitude towards lifelong learning. | |
12) | Act in accordance with social, scientific, cultural and ethic values on the stages of gathering, implementation and release of the results of data related to the field. | |
13) | Possess sufficient consciousness about the issues of universality of social rights, social justice, quality, cultural values and also, environmental protection, worker's health and security. | |
14) | Conduct studies at an advanced level in the field independently. | |
15) | Take responsibility both as a team member and individually in order to solve unexpected complex problems faced within the implementations in the field. | |
16) | Planning and managing activities towards the development of subordinates in the framework of a project. |
Anlatım | |
Course | |
Homework | |
Seminar |
Yazılı Sınav (Açık uçlu sorular, çoktan seçmeli, doğru yanlış, eşleştirme, boşluk doldurma, sıralama) | |
Homework | |
Uygulama | |
Sunum |
Semester Requirements | Number of Activities | Level of Contribution |
Homework Assignments | 7 | % 10 |
Midterms | 1 | % 30 |
Semester Final Exam | 1 | % 60 |
total | % 100 | |
PERCENTAGE OF SEMESTER WORK | % 40 | |
PERCENTAGE OF FINAL WORK | % 60 | |
total | % 100 |
Activities | Number of Activities | Duration (Hours) | Workload |
Course Hours | 15 | 3 | 45 |
Study Hours Out of Class | 15 | 5 | 75 |
Homework Assignments | 10 | 4 | 40 |
Midterms | 1 | 3 | 3 |
Final | 1 | 3 | 3 |
Total Workload | 166 |