Scientific computing: Tackling the Heat Exchanger Problem

8-Week Online Project-Based Certificate Course

Registration deadline: 20th July 2024

Orientation on 21st July 2024

Instructor: Higher Education Team Language: English

Course Outline

Learn with Scientists

A panel of experienced mentors.

Pick your project Track

Pick your problem statement

Write a Technical Paper

Present a Technical Paper as a report.

Skill upgrades.

Develop transferrable computational skills.

Discover Where You’ll See This in Action

Climate Modeling:

Predict temperature shifts, weather extremes, or ocean currents.

Econometrics and Finance

Forecast economic trends and optimize strategies.

Computational Fluid Dynamics (CFD)

See how fluids flow around obstacles, vital in aerospace and automotive.

Course Outcomes

Conceptual Foundations

• Formulate differential equations from real-world physics problems like motion, heat flow, and waves.

• Learn how time and space variations in physical systems are mathematically modeled.

• Dive into boundary conditions, initial value problems, and the logic behind scientific solvers.

• Get a strong grip on foundational numerical methods like Gaussian Elimination and LU Decomposition.

Practical Skills & Tools

• Discretize equations using, Finite Difference, Finite Element, and Finite Volume methods.

• Convert complex physical problems into algebraic equations and solve them numerically.

• Code your simulations in Python - visualize, tweak, and optimize systems dynamically.

• Build your own solver from scratch -no more black boxes.

Real-World Applications and Career Readiness

• Design simulations for climate modelling, engineering systems and computational fluid dynamics (CFD).

• Venture into predictive analytics through differential modeling.

• Gain the skills to develp and contribute to cutting-edge scientific softwarem, used in both academia and industry.

• Stand out with a portfolio or Python-based simulation tools and models.

Meet your Mentors.

Learn from experts around the globe.

Pratyush Anand

Highest Qualification:  M.Sc. Tech (IIT-Dhanbad), RA - IIT Kanpur, JRF - IISc Bangalore.
Research interest : Research Scientist (Bert Labs and ATE Group R&D division)
Passion: Theoretical physics, Scientific computing, Science Education

Gokul V

Current Affiliation: PhD at BITS Pilani.
Research interest : exploring the reliability of complex systems using physics, engineering, and machine learning.
Passion: Theoretical physics, applied math, and reimagining how we teach them.

Week 1

Discover how computational physics blends math, code, and science to simulate real-world systems from climate to fluid flow.

Week 2

Learn to model physical systems with differential equations and apply boundary conditions to solve ODEs and PDEs using real-world examples like SHM, and Fluid dynamics.

Week 3

Introduction Trajectory of charged particle in a magnetic field when it is thrown perpendicular to the field.

Week 4

Introduction to Finite difference, forward difference, backward difference and how to implement them on Python.

Week 5

Scientific computing: Tackling the Heat Exchanger Problem

8-Week Online Project-Based Certificate Course

Course Outline

Learn with Scientists

Pick your project Track

Write a Technical Paper

Skill upgrades.

Discover Where You’ll See This in Action

Climate Modeling:

Predict temperature shifts, weather extremes, or ocean currents.

Econometrics and Finance

Forecast economic trends and optimize strategies.

Computational Fluid Dynamics (CFD)

Course Outcomes

Conceptual Foundations

Practical Skills & Tools

Real-World Applications and Career Readiness

Meet your Mentors.

Learn from experts around the globe.

Pratyush Anand

Gokul V

Discover how computational physics blends math, code, and science to simulate real-world systems from climate to fluid flow.

Learn to model physical systems with differential equations and apply boundary conditions to solve ODEs and PDEs using real-world examples like SHM, and Fluid dynamics.

Introduction Trajectory of charged particle in a magnetic field when it is thrown perpendicular to the field.

Introduction to Finite difference, forward difference, backward difference and how to implement them on Python.

Tackling the Heat exchanger problem head on.

ENROLL HERE

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Scientific computing: Tackling the Heat Exchanger Problem

8-Week Online Project-Based Certificate Course

Course Outline

Learn with Scientists

Pick your project Track

Write a Technical Paper

Skill upgrades.

Discover Where You’ll See This in Action

Climate Modeling:

Predict temperature shifts, weather extremes, or ocean currents.

Econometrics and Finance

Forecast economic trends and optimize strategies.

Computational Fluid Dynamics (CFD)

Course Outcomes

Conceptual Foundations

Practical Skills & Tools

Real-World Applications and Career Readiness

Meet your Mentors.

Learn from experts around the globe.

Pratyush Anand

Gokul V

Discover how computational physics blends math, code, and science to simulate real-world systems from climate to fluid flow.

Learn to model physical systems with differential equations and apply boundary conditions to solve ODEs and PDEs using real-world examples like SHM, and Fluid dynamics.

Introduction Trajectory of charged particle in a magnetic field when it is thrown perpendicular to the field.

Introduction to Finite difference, forward difference, backward difference and how to implement them on Python.

Tackling the Heat exchanger problem head on.

ENROLL HERE