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 2022-2023 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 2022-2023. They will also receive a complete practical syllabus for Semester 7 (BE Fourth Year) Bioprocess Modeling and Simulation in addition to this.

## 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 2022-2023 With Marking Scheme

# | Unit/Topic | Weightage |
---|---|---|

100 | Basic Modelling Principles | |

200 | Mathematical Models for Biochemical Engineering Systems | |

300 | Numerical Methods | |

400 | Modelling Approaches for Biological Systems | |

500 | Modelling | |

Total | - |

## Syllabus

- 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

- Batch Reactor, CSTR isothermal with cooling/heating jacket or coil, Continuous Stirred Tank Bioreactor, Fed Batch reactor, Batch distillation

- 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

- 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

- Modelling for activated sludge process
- Model for anaerobic digestion
- Model for lactic acid fermentation, antibiotic production, Ethanol fermentation