BIOINFORMATICS

Course Description

This course will introduce students to bioinformatics concepts, principles, and techniques. They will learn how to access the data archives of genomes and proteins, the tools that have been developed to work with these archives, and the kinds of questions that these data and tools can answer will be covered. During this course human genome project, role of bioinformatics in medicine, spatial and temporal aspects of life, central and peripheral dogma, data archives, the world wide web, electronic publications, computer and computer science, programming, biological classification and nomenclature, tools to evaluate phylogenetic relationships, protein structure, protein structure prediction and determination, clinical implications and 3D protein structure visualisation tools will be covered.

BIOINFORMATICS

Evaluation Tools (Active Term)

Course outcomes

1. 01 Identify the biological classification and nomenclature.
2. 02 Describe protein structure .
3. 03 Explain the observables and data archives
4. 04 Explain database requirements
5. 05 List the clinical implications.
6. 06 Explain how cells read the genome from DNA to protein.
7. 07 Summarize World Wide Web
8. 08 Summarize use of sequences to determine phylogenetic relationships .
9. 09 Elaborate on computers and computer science
10. 10 Elaborate on importance of bioinformatics.

Course Syllabus

Reference Books & Course Materials

1. 01 Arthur Lesk. Introduction to Bioinformatics. Oxford University Publications, 2014.

Learning Outcomes

1. L01 Define and describe bioinformatics. SOLO 2.5
2. L02 List the databases and tools used in bioinformatics. SOLO 3
3. L03 Solve and interpret practically how to apply the knowledge to the field of study. SOLO 3.33
4. L04 Solve and interpret practically how to apply the knowledge to the field of study. SOLO 5

Program Outcomes

1. Adequate knowledge in mathematics, science and engineering subjects pertaining to the relevant discipline; ability to use theoretical and applied knowledge in these areas in complex engineering problems.
2. Ability to identify, formulate, and solve complex engineering problems; ability to select and apply proper analysis and modelling methods for this purpose.
3. Ability to design a complex system, process, device or product under realistic constraints and conditions, in such a way as to meet the desired result; ability to apply modern design methods for this purpose.
4. Ability to devise, select, and use modern techniques and tools needed for analysing and solving complex problems encountered in engineering practice; ability to employ information technologies effectively.
5. Ability to design and conduct experiments, gather data, analyse and interpret results for investigating complex engineering problems or discipline specific research questions.
6. Ability to work efficiently in intra-disciplinary and multi-disciplinary teams; ability to work individually.
7. Ability to communicate effectively in Turkish, both orally and in writing; knowledge of a minimum of one foreign language; ability to write effective reports and comprehend written reports, prepare design and production reports, make effective presentations, and give and receive clear and intelligible instructions.
8. Recognition of the need for lifelong learning ; ability to access information, to follow developments in science and technology, and to continue to educate him/herself.
9. Consciousness to behave according to ethical principles and professional and ethical responsibility; knowledge on standards used in engineering practice.
10. Knowledge about business life practices such as project management, risk management, and change management; awareness in entrepreneurship, innovation; knowledge about sustainable development.
11. Knowledge about the global and social effects of engineering practices on health, environment, and safety, and contemporary issues of the century reflected into the field of engineering; awareness of the legal consequences of engineering solutions.

Po-Lo Matrix