GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
BIOINFORMATICS/BMT-434
Course Title: BIOINFORMATICS
Credits 4 ECTS 5
Course Semester 8 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Order memories Bioinformatics definition, scope and knowledge about the history of
Several biological databases have information about and access to biological data by searching these databases can
Binary and multiple sequence alignment algorithms and scoring matrices recognizes
Similarity make and interpret the results of the scan can
in accordance with the requirements you can design your own primers
can Restriction Analysis
databases, primary and secondary proteins (protein sequence, domain / family and structure databases) can recognize and scan
physico-chemical properties of proteins and can identify post-translational modifications
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week   Bioinformatics: Definition, Scope and History Biological Databases and Information Retrieval II
2. Week  Biological Databases and Access to Information I I Collecting and Storing array of sequences databases Submission; Sequence Formats
3. Week  Investigation of important Bioinformatics Centers: NCBI, EBI, SIB Entrez Search and Information Retrieval System
4. Week   Important Bioinformatics Centers Investigation II: SRS
5. Week   Sequence Comparison Methods II: Algorithms (Dot Matrix; Dynamic Programming)
6. Week   Sequence Comparison Methods II: Pairwise Alignment Applications: BLAST
7. Week   Sequence Comparison Methods III: Pairwise Alignment Applications: FASTA
8. Week   Sequence Comparison Methods III: Multiple Alignment: Methods and Applications Creating Phylogenetic Trees: CLUS TAL W; T-Coffee; v b
9. Week   Midterm Exam- Classification of Proteins database and secondary screening of
10. Week   Protein Analysis
11. Week   Three-dimensional structure of proteins Displaying: Ras Mol, Swisa s-PdbViewer
12. Week   Three-dimensional structure of proteins Displaying: Ras Mol, Swisa s-PdbViewer
13. Week   Restriction Analysis (Restriction Enzymes: General Information; REBASE)
14. Week   Restriction Analysis (Restriction Enzymes: General Information; REBASE)
15. Week  
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
1
20
 Application
0
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
60
 Percentage of Final Exam to Total Score  
40
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
2
28
 Weekly Tutorial Hours
14
2
28
 Reading Tasks
10
1
10
 Searching in Internet and Library
10
2
20
 Material Design and Implementation
10
2
20
 Report Preparing
0
 Preparing a Presentation
0
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
1
10
10
 Final Exam and Preperation for Final Exam
1
10
10
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
126
 TOTAL WORKLOAD / 25: 
5.04
 Course Credit (ECTS): 
5
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Gaining the necessary theoretical and applied knowledge on engineering, mathematics, and science, skills for determining, defining and formulating computer engineering problems.X
2Gaining the ability to choose and apply appropriate analysis, modeling and design methods in computer engineering problems.X
3Gaining the ability to design a system, process or product related to computer engineering for a specific given purpose, gaining the ability to apply modern design tools.X
4Gaining the ability to evaluate the issues of security, robustness, adaptability, economy, ecological problems and sustainability in engineering solutions under realistic constraints and conditions.X
5Gaining the ability of simulation, experimenting, design, interpreting results for analysis and solution of computer engineering problems. Gaining the ability of analyzing of data for real problems which are need of industry.X
6Gaining the ability to use contemporary techniques and tools, information technologies for engineering applications.X
7Gaining the ability to work efficiently as individual or in a group in computer engineering discipline or in interdisciplinary studies. Gaining the ability to act independently, to use initiative when needed, and to be creative.X
8Gaining the ability to communicate efficiently by expressing his/her opinions in Turkish verbally or in written form in a concise manner. Gaining ability to efficiently use at least a foreign language in his/her proficiency.X
9Gaining the ability to grasp the significance of the concepts in areas such as business entrepreneurship, innovation and gaining ability for planning and management of a project.X
10Gaining the ability of awareness about self-renewal concept by comprehending the necessity of lifelong learning.X
11Gaining the ability to have professional and ethical responsibility.X
12The development of personality such as self-confidence, undaunting in the face of difficulties, consistency and patience.X
13Awareness about problems concerning with social, economic, environmental, etc. in our age and realization of the engineering profession by keeping mind in the responsibility which is related the awareness.X
 -- NAME OF LECTURER(S)
   (Head of Department)
 -- WEB SITE(S) OF LECTURER(S)
   (http://tf-bm.gazi.edu.tr/)
 -- EMAIL(S) OF LECTURER(S)
   ( http://tf-bm.gazi.edu.tr/)