PHOTOGRAPHY AND VIDEO | |||||
Bachelor | TR-NQF-HE: Level 6 | QF-EHEA: First Cycle | EQF-LLL: Level 6 |
Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
MBG2003 | Computation for Biological Sciences I | Fall | 2 | 2 | 3 | 7 |
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester. |
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): |
Dr. Öğr. Üyesi SERKAN AYVAZ Prof. Dr. SÜREYYA AKYÜZ |
Course Objectives: | This class intended to provide a general introduction to computational tools for biology. |
The students who have succeeded in this course; 1. Have learned important biological data sources. 2. Can evaluate the results of biological analysis statistically and mathematically. 3. Have learned how to use various tools to evaluate genome sequencing data. 4. Have learned basic level analyses in Matlab. |
Evaluation and analysis of general biological and genome sequencing data using related computational tools efficiently. |
Week | Subject | Related Preparation |
1) | Biological data | |
2) | Biyological databases | |
3) | Sequencing data | |
4) | Sequence alignment | |
5) | Genome sequencing data | |
6) | Genome assembly | |
7) | Genetic variation analysis I | |
8) | Genetic variation analysis II | |
9) | Gene expression analysis | |
10) | Microarray data analysis | |
11) | Mass Spec analysis | |
12) | Molecular modelling I | |
13) | Molecular modelling II | |
14) | Molecular modelling III |
Course Notes / Textbooks: | Ders notları verilecektir. Course notes will be supplied. |
References: | Computational Biology Series Editors: Dress, A., Linial, M., Troyanskaya, O., Vingron, M. ISSN: 1568-2684, 2009 |
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 |
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 |
No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
Program Outcomes | Level of Contribution | |
1) | Knowledge of photographic and video media and ability to use basic, intermediate and advanced techniques of these media. | |
2) | Ability to understand, analyze and evaluate theories, concepts and uses of photography and video. | |
3) | Ability to employ theoretical knowledge in the areas of the use of photography and video. | |
4) | Familiarity with and ability to review the historical literature in theoretical and practical studies in photography and video. | |
5) | Ability in problem solving in relation to projects in photography and video. | |
6) | Ability to generate innovative responses to particular and novel requirements in photography and video. | |
7) | Understanding and appreciation of the roles and potentials of the image across visual culture | |
8) | Ability to communicate distinctively by means of photographic and video images. | |
9) | Experience of image post-production processes and ability to develop creative outcomes through this knowledge. | |
10) | Knowledge of and ability to participate in the processes of production, distribution and use of photography and video in the media. | |
11) | Ability to understand, analyze and evaluate global, regional and local problematics in visual culture. | |
12) | Knowledge of and ability to make a significant contribution to the goals of public communication. | |
13) | Enhancing creativity via interdisciplinary methods to develop skills for realizing projects. | |
14) | Gaining general knowledge about the points of intersection of communication, art and technology. |