The big picture

Science

The state of knowing : knowledge as distinguished from ignorance or misunderstanding

Knowledge or a system of knowledge covering general truths or the operation of general laws especially as obtained and tested through scientific methods

 

Science (from the Latin word scientia, meaning "knowledge") is a systematic enterprise that builds and organizes knowledge in the form of testable explanations and predictions about the universe.

Applied Science

Applied science is the application of existing scientific knowledge to practical applications, like technology or inventions.

Within natural science, disciplines that are basic science develop basic information to predict and perhaps explain and understand phenomena in the natural world. Applied science is the use of scientific processes and knowledge as the means to achieve a particular practical or useful result. This includes a broad range of applied science related fields, including engineering and medicine.

Engineering

The term engineering is derived from the Latin ingenium, meaning "cleverness" and ingeniare, meaning "to contrive, devise"

 

Engineering is the use of scientific principles to design and build machines, structures, and other items, including bridges, tunnels, roads, vehicles, and buildings. The discipline of engineering encompasses a broad range of more specialized fields of engineering, each with a more specific emphasis on particular areas of applied mathematics, applied science, and types of application.

Superstition

a belief or practice resulting from ignorance, fear of the unknown, trust in magic or chance, or a false conception of causation

a notion maintained despite evidence to the contrary

 

A superstition is any belief or practice based upon one's trust in luck or other irrational, unscientific, or supernatural forces. Often, it arises from ignorance, a misunderstanding of science or causality, a belief in fate or magic, or fear of that which is unknown.

ART

VS

Two sides of a Coin

Science & Engineering

• Scientists discover the principles of the universe
• Engineers use those principles and some tools to build and refine technologies.
• Scientists use those technologies to discover to dive deeper and and gain better understanding of universe and discover more principles.
• The loop continues

Science & Engineering

Engineers

• Build technologies with use of scientific principles and the right set of tools.
• They have good understanding of scientific principles in their respected field.
• They follow the scientific workflows to find the solution to a problem and choose the right tool for the job

Knowing how to use a tool doesn't make us engineers!!!

For Examples

• Just knowing how to program makes us programmers.
• Just knowing how to build a wall doesn't make us architects.

So, To be a better Engineer we have to understand the principles and our tools better!

Improve your inner

Scientist and understand the laws better

Skeptical & Scientific Mind

Truth is sought for its own sake … Therefore, the seeker after the truth is not one who studies the writings of the ancients and, following his natural disposition, puts his trust in them, but rather the one who suspects his faith in them and questions what he gathers from them, the one who submits to argument and demonstration, and not to the sayings of a human being whose nature is fraught with all kinds of imperfection and deficiency. Thus the duty of the man who investigates the writings of scientists, if learning the truth is his goal, is to make himself an enemy of all that he reads, and, applying his mind to the core and margins of its content, attack it from every side. He should also suspect himself as he performs his critical examination of it, so that he may avoid falling into either prejudice or leniency.

– Ibn al-Haytham

Ask question

Language of Science

• Learn the official language
• Translated materials are out dated and opinionated
• Math is the language of universe
• Engineers have to know math to some degree***

Abraham wald's logic

Scientific Literacy

• Explain phenomena scientifically
• Evaluate and design scientific observations
• Interpret data and evidence scientifically – analyze and evaluate data, claims and arguments in a variety of representations and draw appropriate scientific conclusions.
• Communicate with numbers and evidence
• Numbers don't lie
  • Unless your calculation and test are wrong
  • Dirac calculations

Scientific workflow

Scientific principles are Not Opinionated

Engineering & Superstitions

Superstitions

• None scientific beliefs
• Beliefs based on emotions
• Whatever that company X creates is the best
• Tool Y is the best because I'm using it
• I've read it on Hackernews so it got to be true.
• Trends, Everybody is using Z so it should be the best.

Sameer's pyramid

Fact, Theory, Hypothesis

• Facts are solid and unbreakable
• Theories have strong evidence but some corner cases
• Hypotheses are scientifically literate guesses that need to be verified
• The rest are just feeling and hunches.
• Guess, Hypothesize, Test our hypothesis and theorize and finally come up with a solid fact

Facts vs Feelings

• Lang A is better than Lang B
  • Why?
  • Do you have proof ?
  • In what aspect
  • How was your test environment
• We have to use ABC methodology to rock the product
• And some other examples like these

EngineerING & Tooling

TOOLS

• Different tools give us different options
• Tools are there to be used not to get emotionally attached to them.
• Choose the right tool for the problem in hand
• Choose the tools in a scientific fashion

Choosing a Tool

• Come up with a requirements list
• Design experiments
• Test your candidates in the experiment and collect data
• Match the numbers and none technical requirements to reach a decision
• Leave you prejudice behind
• More experiments eliminate more errors

Incorrect Experiment

Incorrect experiment

• Wrong attributes
• Biased factors
• Incorrect measurements
• Not enough randomization

• Inaccurate measurement tools

• .......

Fisher's principles

The Arrangement of Field Experiments

The design of experiments

Trade offs

• Understand the trade offs
• Usually trade offs go multiple ways
• E.g fastest programming language in the world

Another example

In Conclusion

• Mentality of a scientist

• Be scientifically literate
• Adopt scientific workflows
• Stay away from superstitions