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Chemical engineering analysis and modeling Course

Track :

Engineering
Course Presenter :

IIT Roorkee July 2018

Lessons no : 61

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What will you learn in this course?
  • Develop skills in process simulation and modeling for chemical engineering applications using industry-standard software tools
  • Apply advanced data analysis techniques to optimize chemical processes and improve efficiency in real-world scenarios
  • Design and evaluate chemical process systems considering safety, environmental impact, and regulatory compliance
  • Implement process optimization strategies to enhance productivity and reduce costs in chemical manufacturing industries

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Lessons | 61
Lecture 60 Artificial Intelligence Machine Learning in Chemical Engineering
00:23:42

Lecture 60 Artificial Intelligence Machine Learning in Chemical Engineering
Lecture 59 Nanoscale Simulations in Chemical Engineering DFT Case Studies
00:34:11

Lecture 59 Nanoscale Simulations in Chemical Engineering DFT Case Studies
Lecture 58 Nanoscale Simulations in Chemical Engineering Methods
00:30:51

Lecture 58 Nanoscale Simulations in Chemical Engineering Methods
Lecture 57 Nanoscale Simulations in Chemical Engineering Basics
00:33:40

Lecture 57 Nanoscale Simulations in Chemical Engineering Basics
Lecture 56 Recent Trends in Chemical Process Modeling
00:36:08

Lecture 56 Recent Trends in Chemical Process Modeling
Lecture 55 Rate Based Methods for Vapor Liquid Separations Continued
00:28:23

Lecture 55 Rate Based Methods for Vapor Liquid Separations Continued
Lecture 54 Non Equilibrium Effects and Rate Based Methods for Vapor Liquid Separations
00:29:33

Lecture 54 Non Equilibrium Effects and Rate Based Methods for Vapor Liquid Separations
Lecture 53 Equation Tearing SR Method NR Method Inside Out Method
00:48:28

Lecture 53 Equation Tearing SR Method NR Method Inside Out Method
Lecture 52 MESH Equation in Tridiagonal Matrix Form Equation Tearing BP Method
00:37:59

Lecture 52 MESH Equation in Tridiagonal Matrix Form Equation Tearing BP Method
Lecture 51 Introduction to MESH Equation
00:31:35

Lecture 51 Introduction to MESH Equation
Lecture 50 Examples Degree of Freedom of Cascades
00:34:25

Lecture 50 Examples Degree of Freedom of Cascades
Lecture 49 Liquid Liquid Extraction Cascades Absorption and Stripping Cascade
00:40:18

Lecture 49 Liquid Liquid Extraction Cascades Absorption and Stripping Cascade
Lecture 48 Examples on Separations
00:35:56

Lecture 48 Examples on Separations
Lecture 47 K values Cascades Solid Liquid Cascade
00:30:37

Lecture 47 K values Cascades Solid Liquid Cascade
Lecture 46 Basics of Separations
00:42:33

Lecture 46 Basics of Separations
Lecture 45 Bipartite Graph for Complex Reactions Other Applications of Graph Theory
00:33:50

Lecture 45 Bipartite Graph for Complex Reactions Other Applications of Graph Theory
Lecture 44 Application of Graph Theory in Analyzing Reaction Mechanisms
00:28:33

Lecture 44 Application of Graph Theory in Analyzing Reaction Mechanisms
Lecture 43 Revisiting Badger McCabe Method using Graph Theory Tearing
00:26:46

Lecture 43 Revisiting Badger McCabe Method using Graph Theory Tearing
Lecture 42 Decomposition of Large Scale System Composed of Nonlinear Elements
00:39:23

Lecture 42 Decomposition of Large Scale System Composed of Nonlinear Elements
Lecture 41 Example on Graph Theory
00:35:22

Lecture 41 Example on Graph Theory
Lecture 40 Using Graph Theory for Decomposition of Large Scale Linear Systems Continued
00:26:57

Lecture 40 Using Graph Theory for Decomposition of Large Scale Linear Systems Continued
Lecture 39 Using Graph Theory for Decomposition of Large Scale Linear Systems
00:31:28

Lecture 39 Using Graph Theory for Decomposition of Large Scale Linear Systems
Lecture 38 Graph Theory Incidence Matrix and Augmented Incidence Matrix Examples
00:27:16

Lecture 38 Graph Theory Incidence Matrix and Augmented Incidence Matrix Examples
Lecture 37 Graph Theory Cyclical Nets
00:32:18

Lecture 37 Graph Theory Cyclical Nets
Lecture 36 Introduction to Graph Theory
00:37:22

Lecture 36 Introduction to Graph Theory
Lecture 35 Numerical Methods of Solving Equations V
00:22:37

Lecture 35 Numerical Methods of Solving Equations V
Lecture 34 Numerical Methods of Solving Equations IV
00:34:38

Lecture 34 Numerical Methods of Solving Equations IV
Lecture 33 Numerical Methods of Solving Equations III
00:43:52

Lecture 33 Numerical Methods of Solving Equations III
Lecture 32 Numerical Methods of Solving Equations II
00:27:27

Lecture 32 Numerical Methods of Solving Equations II
Lecture 31 Numerical Methods of Solving Equations I
00:41:50

Lecture 31 Numerical Methods of Solving Equations I
Lecture 30 Case Study Making Biscuit in an Oven
00:34:42

Lecture 30 Case Study Making Biscuit in an Oven
Lecture 29 Example on Heat Equation
00:48:59

Lecture 29 Example on Heat Equation
Lecture 28 More on the Solution of 1D Heat Equation for a Slab
00:31:08

Lecture 28 More on the Solution of 1D Heat Equation for a Slab
Lecture 27 Solution of 1D Heat Equation for a Slab
00:40:23

Lecture 27 Solution of 1D Heat Equation for a Slab
Lecture 26 Derivation of Heat Equation
00:35:23

Lecture 26 Derivation of Heat Equation
Lecture 25 Multiple Effect Evaporators Badger McCabe Method
00:27:12

Lecture 25 Multiple Effect Evaporators Badger McCabe Method
Lecture 24 Problems on Evaporators
00:44:11

Lecture 24 Problems on Evaporators
Lecture 23 Multiple Effect Evaporators Material and Energy Balance Continued
00:33:35

Lecture 23 Multiple Effect Evaporators Material and Energy Balance Continued
Lecture 22 Multiple Effect Evaporators Material and Energy Balance
00:28:37

Lecture 22 Multiple Effect Evaporators Material and Energy Balance
Lecture 21 Single Effect Evaporator
00:32:59

Lecture 21 Single Effect Evaporator
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Chemical engineering analysis and modeling Course Description

Unlock the potential of chemical engineering with this comprehensive online course designed to enhance your analysis and modeling skills. Whether you are a student, a professional, or an industry expert in the Middle East, this training course offers valuable insights into the core principles of chemical engineering. Gain practical knowledge that can significantly boost your career growth and professional skills in a competitive industry. Throughout this course, you will learn how to apply advanced analysis techniques and develop accurate models for complex chemical processes. This training course covers key topics including process simulation, data analysis, process optimization, and safety considerations. By the end of the program, you will be equipped with the tools needed to solve real-world engineering challenges efficiently and effectively. This course is ideal for engineering students, practicing chemical engineers, technical managers, and professionals seeking to deepen their expertise in chemical process analysis and modeling. If you aim to stay ahead in the rapidly evolving field of engineering, this certified course provides the essential foundation for your continued development. Why choose this course on our platform? We offer expertly designed content, flexible online learning options, and a focus on practical application. Our training courses are tailored to meet industry standards and include real-world case studies to enhance your understanding. Completing this course provides a recognized certificate that validates your skills and commitment to professional growth. Career opportunities after completing this course include roles such as process engineer, chemical analyst, process optimization specialist, and project manager within the chemical, petroleum, and manufacturing industries. The certification can serve as a valuable credential to advance your career and open doors to higher-level positions. Enroll today to gain a professional certification in chemical engineering analysis and modeling, and take a significant step toward achieving your career goals in the engineering sector. Our platform is dedicated to your success, providing the tools and knowledge you need to excel. IIT Roorkee July 2018