BÄ°K708 - COMPUTATIONAL ANALYSIS IN BIOCHEMISTRY
| Course Name | Code | Semester | Theory (hours/week) |
Application (hours/week) |
Credit | ECTS |
|---|---|---|---|---|---|---|
| COMPUTATIONAL ANALYSIS IN BIOCHEMISTRY | BÄ°K708 | Any Semester/Year | 3 | 0 | 3 | 9 |
| Prequisites | None | |||||
| Course language | Turkish | |||||
| Course type | Elective | |||||
| Mode of Delivery | Face-to-Face | |||||
| Learning and teaching strategies | Lecture Other: application | |||||
| Instructor (s) | Prof.Dr. Gülberk Uçar, Assoc.Prof.Dr. Ayşe Ercan, Assoc.Prof.Dr. Samiye Yabanoğlu, Assist.Prof.Dr. Tuba Küçükkılınç | |||||
| Course objective | To review the basic computational aspects of biochemistry including dynamic biochemistry, genomics and proteomics. | |||||
| Learning outcomes |
| |||||
| Course Content | Biochemical Exploration on internet, Visualisation of Biomolecules, Dynamic Biochemistry: Enzyme Kinetics, Genomics:Nucleotide Sequence Analysis, Genomics: Recombinant DNA, Proteomics: Sequence Analysis, Proteomics: Protein structure, Introduction to Molecular Modelling | |||||
| References | 1. Tsai, C.S. An Ä°ntroduction to Computational Biochemistry, Wiley, 2002. 2.Voit, E.O. Computational Analysis of Biochemical Systems, Cambridge Press, 2000 | |||||
Course outline weekly
| Weeks | Topics |
|---|---|
| Week 1 | Biochemical Exploration on internet |
| Week 2 | Visualisation of Biomolecules |
| Week 3 | Dynamic Biochemistry: Enzyme Kinetics, |
| Week 4 | Genomics:Nucleotide Sequence Analysis |
| Week 5 | Genomics: Recombinant DNA |
| Week 6 | workshop |
| Week 7 | workshop |
| Week 8 | Proteomics: Sequence analysis |
| Week 9 | Proteomics: Protein structure |
| Week 10 | Introduction to molecular modelling |
| Week 11 | Midterm exam |
| Week 12 | Molecular modelling |
| Week 13 | Workshop |
| Week 14 | Discussion |
| Week 15 | Discussion |
| Week 16 | Final exam |
Assesment methods
| Course activities | Number | Percentage |
|---|---|---|
| Attendance | 0 | 0 |
| Laboratory | 0 | 0 |
| Application | 0 | 0 |
| Field activities | 0 | 0 |
| Specific practical training | 0 | 0 |
| Assignments | 0 | 0 |
| Presentation | 0 | 0 |
| Project | 0 | 0 |
| Seminar | 0 | 0 |
| Midterms | 1 | 50 |
| Final exam | 1 | 50 |
| Total | 100 | |
| Percentage of semester activities contributing grade succes | 0 | 0 |
| Percentage of final exam contributing grade succes | 0 | 0 |
| Total | 0 | |
WORKLOAD AND ECTS CALCULATION
| Activities | Number | Duration (hour) | Total Work Load |
|---|---|---|---|
| Course Duration (x14) | 14 | 3 | 42 |
| Laboratory | 0 | 0 | 0 |
| Application | 0 | 0 | 0 |
| Specific practical training | 0 | 0 | 0 |
| Field activities | 0 | 0 | 0 |
| Study Hours Out of Class (Preliminary work, reinforcement, ect) | 16 | 4 | 64 |
| Presentation / Seminar Preparation | 0 | 0 | 0 |
| Project | 0 | 0 | 0 |
| Homework assignment | 11 | 4 | 44 |
| Midterms (Study duration) | 5 | 10 | 50 |
| Final Exam (Study duration) | 7 | 10 | 70 |
| Total Workload | 53 | 31 | 270 |
Matrix Of The Course Learning Outcomes Versus Program Outcomes
| D.9. Key Learning Outcomes | Contrubition level* | ||||
|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |
| 1. The student has advanced theoretical and practical knowledge on biochemistry and enhances this knowledge. | X | ||||
| 2. Knows professional ethics (intellectual property, academic integrity, ethics in human relations: avoids discrimination, values merit, respects privacy etc), research and publication ethics and applies this information. | X | ||||
| 3. Reviews and analyzes the recent literature on a specific subject, formulates a unique hypothesis from this analysis and writes a project on this subject. | |||||
| 4. Has advanced knowledge on the uses of instruments and methods specific to the field of biochemistry as well as other technological equipment including computers and uses them in the course of projects. | X | ||||
| 5. Independently can head a project-based scientific work from start to finish, finalize the work, analyze the data through relevant statistical methods and contributes to progress in the field. | |||||
| 6. Follows evidence based applications, does research and contributes to produce knowledge which can be put to good use in society. | X | ||||
| 7. Writes the report of the research participated in or made by self and contributes to universal knowledge by publishing it in a peer-reviewed journal and presenting it at scientific meetings. | |||||
| 8. Can formulate alternative solutions to scientific problems in the field and critically analyze and evaluate new information. | X | ||||
| 9. Takes part in national and international multi-disciplinary studies both as leader or participant and through effective communication can relay distinctive ideas in scientific discussions and provides feed-back. | |||||
| 10. Can independently manage a research laboratory and has managing and teaching skills for making strategic decisions. | |||||
| 11. Is open to renovation and in continuous self development. | X | ||||
| 12. Even without any previous experience, can structure and apply a method on if needed. | X | ||||
| 13. Is in command of native language, can communicate at an advanced level using written, oral and visual techniques and debates. | |||||
| 14. Has proficiency in English both to follow the advances in the field and to contribute to it using written, oral and visual techniques. | X | ||||
*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest