AMERICAN CULTURE AND LITERATURE
Bachelor TR-NQF-HE: Level 6 QF-EHEA: First Cycle EQF-LLL: Level 6

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
MBG2004 Computation for Biological Sciences II Spring 2 2 3 7
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: English
Type of course: Non-Departmental Elective
Course Level: Bachelor’s Degree (First Cycle)
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi ELIZABETH HEMOND
Course Lecturer(s): Prof. Dr. SÜREYYA AKYÜZ
Course Objectives: This class intended to provide advanced information to computational tools for biology.

Learning Outcomes

The students who have succeeded in this course;
1. Learn important biological data sources.
2. Evaluate the results of biological analysis statistically and mathematically.
3. Learns how to use various tools to evaluate genome sequencing data.
4. Learn basic level Matlab.

Course Content

Sequence data, searching and alignment, structural data, genome sequencing, genome analysis, genetic variation, gene and protein expression, and biological networks and pathways.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Advanced sequencing data analysis
2) Genome alignment I
3) Genome alignment II
4) Structural data
5) Genome sequencing
6) Genome analysis I
7) Genome analysis II
8) Advanced genetic variation analysis I
9) Advanced genetic variation analysis II
10) Biological networks I
11) Biological networks II
12) Biological pathways I
13) Biological pathways II
14) Biological pathways III

Sources

Course Notes / Textbooks: Ders notları haftalık olarak verilecektir.
Course material will be provided weekly.
References: Computational Biology Series Editors: Dress, A., Linial, M., Troyanskaya, O., Vingron, M. ISSN: 1568-2684

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 10 % 10
Presentation 1 % 15
Midterms 1 % 25
Final 1 % 50
Total % 100
PERCENTAGE OF SEMESTER WORK % 50
PERCENTAGE OF FINAL WORK % 50
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 14 4 56
Study Hours Out of Class 14 7 98
Presentations / Seminar 5 4 20
Midterms 1 2 2
Final 1 2 2
Total Workload 178

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Upon graduation, students will acquire key skills and attributes to conduct research to use research tools, to solve problems, to communicate effectively and to transfer skills to the workplace.
2) Upon graduation, students will have developed the ability to discuss key issues in fluent English.
3) Upon graduation, students will have developed the ability to compose written documents in English with a mature prose style. 4
4) Upon graduation, students will have gained broad knowledge of the American and English literary canons. 4
5) Upon graduation, students will have developed the ability to analyze, synthesize and criticize sophisticated works of American and English literature. 4
6) Upon graduation, students will have achieved in depth the understanding of contemporary American culture. 3
7) Upon graduation, students will have developed the ability to draw links among diverse literary texts and documents and establish critical connections and adopt an interdisciplinary attitude. 3
8) Upon graduation, students will be able to develop new projects individually or in teams. 3
9) Upon graduation, students will be able to apply their knowledge into their lives for interdisciplinary problem-solving and solutions. 4