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Bioprocess Modeling and Simulation Semester 7 (BE Fourth Year) BE Biotechnology University of Mumbai Topics and Syllabus

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University of Mumbai Syllabus For Semester 7 (BE Fourth Year) Bioprocess Modeling and Simulation: Knowing the Syllabus is very important for the students of Semester 7 (BE Fourth Year). Shaalaa has also provided a list of topics that every student needs to understand.

The University of Mumbai Semester 7 (BE Fourth Year) Bioprocess Modeling and Simulation syllabus for the academic year 2021-2022 is based on the Board's guidelines. Students should read the Semester 7 (BE Fourth Year) Bioprocess Modeling and Simulation Syllabus to learn about the subject's subjects and subtopics.

Students will discover the unit names, chapters under each unit, and subtopics under each chapter in the University of Mumbai Semester 7 (BE Fourth Year) Bioprocess Modeling and Simulation Syllabus pdf 2021-2022. They will also receive a complete practical syllabus for Semester 7 (BE Fourth Year) Bioprocess Modeling and Simulation in addition to this.

CBCGS [2019 - current]
CBGS [2015 - 2018]
Old [2000 - 2014]

University of Mumbai Semester 7 (BE Fourth Year) Bioprocess Modeling and Simulation Revised Syllabus

University of Mumbai Semester 7 (BE Fourth Year) Bioprocess Modeling and Simulation and their Unit wise marks distribution

University of Mumbai Semester 7 (BE Fourth Year) Bioprocess Modeling and Simulation Course Structure 2021-2022 With Marking Scheme

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Syllabus

100 Basic Modelling Principles
  • Introduction
  • definition of Modelling and simulation
  • different types of models
  • application of mathematical modelling
  • fundamental laws: continuity equation, energy equation, equation of motion, transport equation, equation of state, Phase and chemical equilibrium, chemical kinetics with examples
200 Mathematical Models for Biochemical Engineering Systems
  • Batch Reactor, CSTR isothermal with cooling/heating jacket or coil, Continuous Stirred Tank Bioreactor, Fed Batch reactor, Batch distillation
300 Numerical Methods
  • Solution of linear algebraic equations by Cramer’s rule, Gauss elimination, Gauss siedel iterative method
  • Solution of Non algebraic equations by Bisection method, Newton Raphson, Secant Method
  • Numerical integration: Trapezoidal rule, Simpson’s 1/3 rule, Simpson’s 3/8 rule, Euler’s method, Runga Kutta method Basic data analysis-curve fitting
400 Modelling Approaches for Biological Systems
  • Growth kinetic Models - structured and unstructured systems;
  • Compartment models;
  • Deterministic and stochastic approaches for modelling structured systems
  • Thermal death kinetics models, Stochastic Model for thermal sterilization of medium
500 Modelling
  • Modelling for activated sludge process
  • Model for anaerobic digestion
  • Model for lactic acid fermentation, antibiotic production, Ethanol fermentation
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