School of Engineering \ Biomedical Engineering
Course Credit
ECTS Credit
Course Type
Instructional Language
Programs that can take the course
Department of Biomedical Engineering Department
BMM 310 course focuses on fundamental and applied studies in computational bio(nano)technology and materials theory for third-year Biomedical Engineering students.
Textbook and / or References
• Advanced Engineering Mathematics, P.V. O'Neil, PWS Publishing Company, 2002.
• Numerical Solution of Partial Differential Equations: An Introduction, K.W. Morton and D.F. Mayers, Cambridge University Press, 2005.
• An Introduction to Numerical Analysis, E. Suli and D. Mayers, Cambridge University Press, 2003.
• Up-to-date articles.
The aim of the BMM 310 course is to provide general information about numerical methods and algorithms, and to provide practical information about current programs such as diffusion, bioinformatics, molecular dynamics, and homology modeling, and to help students adapt to this rapidly developing field. This course will focus particularly on basic algorithm writing/interpretation techniques and protein structure modeling.
1. To have general knowledge about numerical methods;
2. To establish finite difference methods for numerical solution of initial-boundary-value problems;
3. To have knowledge about molecular dynamics application areas;
4. To have general knowledge about bioinformatics application areas
5. To be able to apply engineering and mathematical methods for protein structure prediction.
6. To gain the ability to research, write and present reports on related topics.
Week 1: Basic Programming and Algorithms
Week 2: Matrix Operations and Root Finding
Week 3: Matrix Operations and Numerical Integration
Week 4: Numerical Methods/Applications for Ordinary Differential Equations
Week 5: Numerical Methods/Applications for Partial Differential Equations
Week 6: Numerical Methods/Applications for Partial Differential Equations
Week 7: Protein Structure Prediction/Molecular Dynamics
Week 8: Protein Structure Prediction/Molecular Dynamics
Week 9: Bioinformatics
Week 10: Bioinformatics
Week 11: Homology Modeling
Week 12: Homology Modeling/Applications
Tentative Assesment Methods
• Midterms 25 %
• Final 35 %
• Quizzes 25 %
• Projects 15 %
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Program Outcome
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Course Outcome
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B
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A
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B, A
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B, A
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B, A
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B, A
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A
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B
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A
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A, B
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B
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B, A
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B, A
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A
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B
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A
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B, A
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B
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| 4 |
B, A
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A, B
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A
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B
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A
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A, B
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B
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| 5 |
B, A
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B, A
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B
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A
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B
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A
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B, A
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B
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| 6 |
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B
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B, A, C
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A, B
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