Skip to main content
TR

BIOINFORMATICS

Course
BIOE305 - BIOINFORMATICS
Department
Bioengineering - English - Undergraduate
Course Type
Course
Status
Required
Language
English
Credit
3
ECTS
5
T+P+L
3 + 0 + 0
Course Coordinator(s)
Asst. Prof. Dr. Nurten AŞİNA AMCA
Prerequisite
Keywords

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)

Item Type Weight (%)
Midterm Midterm 35
Final Final 45
Assignment Assignment 20
Total 100

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

Week Topic
Week 1 Introduction to course organisation.
Week 2 Observables and data archives
Week 3 Observables and data archives
Week 4 The World Wide Web
Week 5 The World Wide Web
Week 6 Computers and computer science
Week 7 Review
Week 8 MID-TERM EXAMINATIONS
Week 9 Computers and computer science
Week 10 Biological classification and nomenclature. Use of sequences to determine phylogenetic relationships
Week 11 Use of sequences to determine phylogenetic relationships
Week 12 Introduction to protein structure
Week 13 Protein structure prediction and engineering, Clinical implications, Genomics and proteomics
Week 14 Review
Week 15 Final Exams.

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. P01 Knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline.
  2. P02 Ability to apply knowledge of mathematics, natural sciences, basic engineering, computer-based computation, and topics specific to the relevant engineering discipline to the solution of complex engineering problems.
  3. P03 Ability to define complex engineering problems by using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) related to the problem addressed.
  4. P04 Ability to formulate complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
  5. P05 Ability to analyse and solve complex engineering problems using knowledge of basic sciences, mathematics, and engineering, while considering the relevant United Nations Sustainable Development Goals (SDGs) associated with the problem addressed.
  6. P06 Ability to design creative solutions to complex engineering problems.
  7. P07 Ability to design complex systems, processes, devices, or products in a way that meets present and future needs while considering realistic constraints and conditions.
  8. P08 Ability to select and use appropriate techniques and resources—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
  9. P09 Ability to select and use modern engineering and computational tools—including estimation and modelling—for the analysis and solution of complex engineering problems, while being aware of their limitations.
  10. P10 Ability to conduct literature research and use appropriate research methods for the investigation of complex engineering problems.
  11. P11 Ability to design experiments for the investigation of complex engineering problems.
  12. P12 Ability to conduct experiments, collect data, analyse results, and interpret findings for the investigation of complex engineering problems.
  13. P13 Knowledge of the impacts of engineering practices on society, health and safety, the economy, sustainability, and the environment within the framework of the United Nations Sustainable Development Goals (SDGs).
  14. P14 Awareness of the legal implications of engineering solutions within the framework of the United Nations Sustainable Development Goals (SDGs).
  15. P15 Knowledge of ethical responsibility and adherence to the principles of professional engineering conduct.
  16. P16 Awareness of acting impartially without discrimination in any matter and of being inclusive of diversity.
  17. P17 Ability to work effectively as an individual.
  18. P18 Ability to work effectively as a team member or leader in intra-disciplinary teams (face-to-face, remote, or hybrid).
  19. P19 Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote, or hybrid).
  20. P20 Ability to communicate effectively in spoken form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
  21. P21 Ability to communicate effectively in written form on technical matters, taking into account the diverse characteristics of the target audience (such as education, language, and profession).
  22. P22 Knowledge of professional practices such as project management and economic feasibility analysis.
  23. P23 Awareness of entrepreneurship and innovation.
  24. P24 Ability for independent and lifelong learning.
  25. P25 Ability to adapt to new and emerging technologies.
  26. P26 Lifelong learning ability that includes the capacity to think critically about technological changes.

Po-Lo Matrix

LO P01 P02 P03 P04 P05 P06 P07 P08 P09 P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 P20 P21 P22 P23 P24 P25 P26 Average
L01 - - - - - - - - - - - - - - - - - - - - - - - - - - -
L02 - - - - - - - - - - - - - - - - - - - - - - - - - - -
L03 - - - - - - - - - - - - - - - - - - - - - - - - - - -
L04 - - - - - - - - - - - - - - - - - - - - - - - - - - -