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Computational Biology
ENS 210

Faculty: Faculty of Engineering and Natural Sciences
Semester: Fall 2025-2026
Course: Computational Biology - ENS 210
Classroom: FENS-G032,FENS-L030
Level of course: Undergraduate
Course Credits: SU Credit:3.000, ECTS:6, Basic:3, Engineering:3
Prerequisites: MATH 101 and IF 100
Corequisites: ENS 210L
Course Type: Lecture

Instructor(s) Information

Ogün Adebali

Course Information

Catalog Course Description
1. Basic Concepts of Molecular Biology; Life, Proteins, Nucleic acids. 2. The Mechanisms of Molecular Genetics; Genes and the Genetic Code, Transcription, Translation and Protein Synthesis, junk DNA and Reading frames,Chromosomes 3. How the Genome is Studied; Maps and Sequences, Specific Techniques 4. The Human Genome Project 5. Molecular Biology Databases on the Web 6. Strings, Graphs and Algorithms 7. Sequence Alignment Algorithms; Global, Semiglobal, and Local Alignment 8. Multiple Sequence Alignment; Star alignment, Tree alignment 9. Database Search; PAM, BLOSSUM matrices, BLAST, FASTA 10. Quantitative and Probabilistic Pattern Matching 11. Protein Ligand Docking 12. Bio-ethics
Course Learning Outcomes:
1. To have basic knowledge of molecular biology genetics and biochemistry
2. To learn PYTHON and at to be able write PYTHON programs for basic computational biology problems.
3. To gain basic knowledge of the sequence alignment, database search , clustering, and profile algorithms in computational biology.
4. To learn ways to model biological problems and analyticla methodsfor solving problems in biology and medicine.
5. To learn to design an implement an algorithm and analyze the results of their algorithm that they developed as a team.
Course Objective
To supply the students with the foundations in Computational Biology.
Sustainable Development Goals (SDGs) Related to This Course:
Good Health and Well-being
Industry, Innovation and Infrastructure

Course Materials

Resources:
Technology Requirements:
Individual computer