Unit 1
Foundations of Systems Biology: Introduction to systems biology and network theory. Principles of mathematical modeling in biology.Study of biological systems at different levels. Integration of omics data for holistic understanding
Course Name | Biological Systems, Simulation and Modelling |
Course Code | 24AIM303 |
Program | B.Tech. in Artificial Intelligence (AI) and Data Science (DS) in Medical Engineering |
Semester | V - Micro-credential courses: Set 4 |
Credits | 3 |
Campus | Coimbatore |
Foundations of Systems Biology: Introduction to systems biology and network theory. Principles of mathematical modeling in biology.Study of biological systems at different levels. Integration of omics data for holistic understanding
Mathematical Modeling in Biology: Mathematical principles for biological modeling. ODEs, PDEs, and stochastic modeling in biology. Agent-based modeling for individual-level interactions.
Computational Tools in Systems Biology: Computational systems biology modeling. Bioinformatics applications for data analysis. Simulation platforms and programming languages. High-performance computing for large-scale simulations.
Applications in Biomedical Engineering: Systems biology in drug discovery and personalized medicine. Computational models in healthcare. Case studies of systems biology in disease understanding. Ethical considerations in applying systems biology to biomedical engineering.
Course Objectives:
Course Outcomes:
After completing this course, students should be able to
CO1: Apply Systems Biology concepts to analyze and model complex biological systems.
CO2: Utilize mathematical principles, including ODEs and stochastic modeling, to proficiently simulate and analyze diverse biological processes.
CO3: Employ computational tools, bioinformatics applications, and programming languages for comprehensive data analysis and large-scale simulations in systems biology.
CO4: Apply acquired knowledge in real-world scenarios, focusing on drug discovery, personalized medicine, and healthcare computational modeling.
CO-PO Mapping
CO/PO | PO1 | PO2 | PO3 | PO4 | PO5 | PO6 | PO7 | PO8 | PO9 | PO10 | PO11 | PO12 | PSO1 | PSO2 | PSO3 |
CO1 | 2 | 3 | 2 | 2 | 1 | – | – | – | 2 | 2 | – | 2 | 3 | 1 | 2 |
CO2 | 2 | 3 | 2 | 2 | 1 | – | – | – | 2 | 2 | – | 2 | 3 | 1 | 2 |
CO3 | 2 | 3 | 2 | 2 | 1 | – | – | – | 2 | 2 | – | 2 | 3 | 1 | 2 |
CO4 | 2 | 3 | 2 | 2 | 1 | – | – | – | 2 | 2 | – | 2 | 3 | 1 | 2 |
DISCLAIMER: The appearance of external links on this web site does not constitute endorsement by the School of Biotechnology/Amrita Vishwa Vidyapeetham or the information, products or services contained therein. For other than authorized activities, the Amrita Vishwa Vidyapeetham does not exercise any editorial control over the information you may find at these locations. These links are provided consistent with the stated purpose of this web site.