Solving Engineering Problems : Think like Great Scientists
What you'll learn
- Understand the thinking patterns and mental models of some of the world's greatest scientists and innovators, including Isaac Newton, Richard Feynman
- Analyze the scientific and engineering principles that guided these luminaries and their approach to problem-solving, decision-making, and creativity.
- Explore the strategies, techniques, and mental models employed by these innovators and their impact on their industries and the world.
- Learn how to apply the thinking patterns and mental models of these luminaries to real-world challenges, and enhance your own problem-solving
- Gain a deep appreciation of the rational approach to science employed by Isaac Newton and its influence on modern scientific thinking.
- Study the ability of Richard Feynman to simplify complex concepts and communicate scientific ideas to a broader audience.
- Understand the visionary engineering of Isambard Brunel and its impact on transportation and infrastructure.
- Analyze the design thinking approach of Steve Jobs and how he transformed the tech industry with his innovations.
- Explore the futurist mindset of Elon Musk and his ability to innovate and disrupt multiple industries.
- Participate in discussions and brainstorming sessions with fellow students to explore and apply the thinking patterns and mental models of these luminaries
- Reflect on your personal learning and development, and identify opportunities for further growth and enhancement of your problem-solving & decision-making
Requirements
- No prior knowledge or experience is required.
- Basic knowledge of science, engineering is recommended but not mandatory.
Description
This course is designed to explore the thinking patterns and mental models of some of the greatest scientists and innovators in history, including Isaac Newton, Richard Feynman, Isambard Brunel, Steve Jobs, and Elon Musk. Through a combination of lectures, case studies, and discussions, you will learn how these brilliant minds approached problem-solving, decision-making, and creativity, and how you can apply their methods and strategies to your own life and work.
You will delve into the scientific and engineering principles that guided these luminaries, and gain a deep understanding of their thinking patterns and mental models. From Newton's rational approach to science, to Feynman's ability to simplify complex concepts, Brunel's visionary engineering, Jobs's design thinking, and Musk's futurist mindset, you will learn how these innovators tackled the most challenging problems of their times and produced ground-breaking discoveries and innovations.
Through case studies, you will analyse the strategies, techniques, and mental models employed by these luminaries, and examine the impact of their thinking patterns on their industries and the world. You will also participate in discussions and brainstorming sessions to explore how to apply these thinking patterns to real-world challenges, and reflect on your personal learning and development.
No prior knowledge or experience is required to enroll in this course, but a basic familiarity with science and engineering principles will be helpful. By the end of the course, you will have gained a deep appreciation of the thinking patterns and mental models of some of the world's greatest scientists and innovators, and how to apply them to enhance your own problem-solving, decision-making, and creativity skills.
In this course we will cover :-
1. Isaac Newton
2. Edison
3. Einstein
4. Feynman
5. Brunel
6. Steve Jobs
7. Elon Musk
Who this course is for:
- Design Thinkers
- Entrepreneurs
- Students
- Professionals
- Business Leaders
- Engineers
- Innovation Teams
- Innovation Consultants
Instructor
- 4.1 Instructor Rating
- 81 Reviews
- 20,322 Students
- 4 Courses
Bio : Microsoft Certified Developer, Published in the AI journal, two degrees - BSc Management, LSE , Computer Science, UoPeople. Commencing PhD opportunities.
Ibrahim Mukherjee is the director of the STEM University and a seasoned technology leader with over 14 years of experience . He has worked for top firms including British Airways, DSM, uMotif, BG Group, Wilmington Plc and Quintessentially as a data scientist. He has also created the world's first fully 3D printed razor (Nahl Biolabs Inc.) and an upcoming neurotech start-up (Sy6).
Ibrahim has completed successfully numerous bootcamps including HyperionDev Software Engineering in Python and StepFunction for Data Science in Python.
Ibrahim is published in the AI Journal, KDNuggets, and as a photojournalist by Leica. Ibrahim has also published a book "Ace the Python Interview" available on Amazon. He's currently on permanent display as a photojournalist for black and white photography at the LSE Anthropology Society.
He holds a BSc in Management from the LSE and is pursuing a his third bachelor’s in AI from the University of Applied Sciences Berlin after transferring an Associate degree in Computer Science, UoPeople. He is also completing an MSc in Psychology from Birkbeck and exploring PhD opportunities. He is working on a book on probability theory after a 5 book publishing deal. He is additionally pursuing multiple start-ups including :-
1. The STEM University - Online courses in Data Science and Programming, Design Thinking, AI and Robotics.
2. Sy6- Learn about the the world's first brain tracking app.
3. TheGeneralAICo - Consulting in robotics, AI and self driving technology.
4. Nahl Biolabs Inc. - The world's first fully 3D printed razor.
Ibrahim has the following qualifications :-
1. BSc Management, LSE (completed)
2. MSc Occupational Behaviour - Birkbeck (current, 2nd year)
3. Assoc. Computer Science - UoPeople (paused, completed necessary modules for Data Science and Machine Learning).
4. BSc Artificial Intelligence - IU (paused)
5. Python, C#, Data Structures & Algorithms - Microsoft (completed)
6. Maths for Data Science, SQL, Machine Learning - Various (completed)
7. Software Engineering Bootcamp - HyperionDev (completed)
8. Tech Lancaster Electronics Bootcamp - IPC Certification (ongoing)