- Utilitarian
- To pay the bills and not be cheated
- To get the proper concentrations in the lab

- Practical
- To design the experiments
- To analyze the results of the experiment

- Philosophical
- Understand the meaning of the results
- Connect experiments with the rest of human knowledge

- To understand the story we need to know the language
- Without the language we only see the pictures and try to guess the meaning
- “The laws of Nature are written in the language of mathematics”

The universe […] cannot be understood unless one first learns […] the language and interpret the characters in which it is written. It is written in the language of mathematics, […] without these, one is wandering around in a dark labyrinth.

Galileo Galilei (1564 – 1642),

Italian astronomer, physicist, engineer, philosopher, and mathematician

The limits of my language are the limits of my world

Ludwig Wittgenstein

Some natural laws have been discovered using *only* mathematics. Later experiments validated these theories.

- Newton (Gravity works at scales that Sir Isaac could not foresee),
- Maxwell (predicted the existence of radio, and that light is an electromagnetic wave),
- Boltzmann-Gibbs (connected macroscopic thermodynamics with molecule-scale behavior, before proving that atoms exist),
- Einstein (General Relativity predicted light bending, and the transformation of matter into energy: atomic power),
- Murray Gell-Mann (predicted quarks).

Mendel discovered genes using only math

Galton created the first Department of Genetics, and linear correlation

Fisher invented statistics while working at Agricultural research

“Student’s test” was invented by biotech working in beer

Physicists, mathematicians and engineers are publishing papers in molecular biology

Google has a company doing *Big Data* on 5 million human DNA samples, and correlating with diseases

Whereas throughout much of the 20th century computational and mathematical biology were niche disciplines, their methods are now becoming an integral part of the practice of biology across all fields.

Stefan et al. *“The Quantitative Methods Boot Camp: Teaching Quantitative Thinking and Computing Skills to Graduate Students in the Life Sciences”.* PLoS Comput. Biol. 11, 1–12 (2015).

It has been invented and developed independently in several places:

- ancient Babylon, ancient Egypt
- ancient Greece (i.e. Mediterranean and Aegean sea)
- China, India
- Pre-hispanic Mexico
- Golden Age Persia
- European Renaissance, Industrial England, Soviet Union, etc.

We have mathematicians in Turkish money.

- We need to learn math to receive this cultural legacy
- We speak about “Universal literature”
- Architecture
- Painting and Sculptures
- Music
- Cinema

Mathematic belongs to all humanity

It is something developed in our minds

It does not exist outside our brains

(although nature’s rules seem to be well described by math)

According to tradition, in the door there was this text

ἀγεωμέτρητος μὴ εἰσίτω

“ageometretos me eisito”

“Let None But Geometers Enter Here”

(Euclides’ geometry is about logical deduction. It is the way philosophers think)

We need some training to appreciate its beauty

The same happens with art such as

- opera,
- cubist painting,
- modern ballet,
- abstract sculpture,
- and so on.

It is like moving in the city using only the metro:

easy, but you can only go to places that others have already prepared

These places are crowded, and it is hard to be noticed here.

It is like having your own car. Depending on your knowledge level, it can be

- a taxi (someone else drives),
- an sedan car (you drive on paved streets),
- a jeep (you can go to much more places, you can fix up when things break down), or
- an experimental autonomous car (you design a new car from the zero)

You need at least to understand enough mechanics to know

- when to put gasoline,
- When to change oil,
- maybe how to change a tire,
- How to talk to the mechanic so he does not cheat you.

- You do not need to calculate everything
- You do not need to solve everything
- You need to interact with other experts
- Statisticians
- Bioinformaticians
- Computer Scientists
- Applied Mathematicians

Many people has been told that math is about *numbers*

And computers can do that faster and easier

Do we still need to learn math?

**Yes**, because computers do not solve problems

Mathematics solves problems. Then computers solve them fast

Since computers were invented, people say

**Garbage in, Garbage out**

Computers will *always* give an answer

If the question is wrong, the answer will also be wrong

To have correct answers we must ask the correct questions

This is the real reason we need math

Mathematicsis not about numbers, equations, computations or algorithms: it’s aboutunderstandingWilliam Paul Thurston (1946 – 2012),

American mathematician

It is a valid question

But I prefer **“which kind of mathematics do we need?”**

- Most people say math is “doing things with numbers”. In other words, when we say
*mathematics*, people thinks of*arithmetics* *Geometry*is even older. More than 6000 years old- we also learned
*set theory*in primary school

In my opinion, scientists need three fundamental tools

- Logic
- Probabilities
- Single variable calculus

Biologists need also two practical tools

- Matrices
- Networks

This has been discussed a lot

There are several combined reasons

Let’s see some of them

“Math is hard…” ## Well… it depends {.center .Huge}

Daniel Kahneman, 2002 Nobel Memorial Prize in Economic Sciences

**Fast**

- instinctive
- emotional
- automatic
*cheap*

**Slow**

- deliberate
- rational
- intentional
*expensive*

- Survival
- Save energy

So *System 1* is the default mode

Most of the time we use the *cheap* intuitive system

*Rational thinking (i.e. math) is not spontaneous*

- It requires energy and willpower
- Everybody can run 10K … if trained correctly

The only way to ** learn mathematics** is to

Paul Halmos (1916 – 2006)

Hungarian-born American mathematician

- Sometimes the purpose is not clear
- It is hard to learn something if we don’t know why we are learning it
- Unfortunately, in many cases we cannot understand the purpose until we learn a little

These people are “pure mathematicians”

In real life, many mathematical theories have been developed as “games” that mathematicians play, something amusing or beautiful.

Therefore people invented the math *before* having a real-world motivation.

**For example:** non-Euclidean geometry is essential to Einstein’s General Relativity, but was invented 50 years before, as a game

Hardy, a number-theorist from early 20th century, said

I have never done anything “useful.” No discovery of mine has made, or is likely to make, directly or indirectly, for good or ill, the least difference to the amenity of the world

Today his work is essential to the secure communication on the web. Without his work, modern economy would not exist.

Hardy–Weinberg equation is the basis of population genetics

As we said, mathematics is a superpower

Some people already has that power

And they do not want to share it

- Through history, high impact mathematics has been know only by few people
- only few people knew the really important mathematics
- In most societies, mathematics has high social value, because it is difficult and exclusive
- Today, elite mathematics gives “special authority” to people who is already powerful

- Political power in ancient Egypt was based on the “god” status of the pharaoh
- He showed his power by
*ordering*the Nile to grow - It worked because he had a
*model*of the seasons

- Today big companies have immense power because they have
*models*of people’s behavior - They even pay you 2% to get your
*Big Data*- Supermarkets give
*fidelity cards*with discounts - Airlines give
*free flight*if you register

- Supermarkets give
- “Knowledge is Power”

One of the powerful (and difficult) aspects of math is *abstraction*

- dealing with ideas rather than events:
*topics will vary in degrees of abstraction.* - freedom from representational qualities in art:
*geometric abstraction has been a mainstay in her work.* - the process of considering something independently of its associations, attributes, or concrete accompaniments:
*duty is no longer determined in abstraction from the consequences.*

- it is easier to solve a problem when we discard irrelevant details
- Abstract problems can correspond to several applied problems
- Solving one solves all of them
- These
*connections*help us to understand new problems by analogy to old ones

If two different problems are *connected*, we can **change perspectives** from one to the other

For example, analytic geometry connects *algebra* and *classic geometry*

We will do this **a lot**

The following is s problem from Diophantus’s *Arithmetica*.

“Given two numbers, to add to the lesser and to subtract from the greater the same (required) number so as to make the sum in the first case have to the difference in the second case a given ratio.”

In other words

“Given \(a\) and \(b\) and a ratio \(ρ\), find \(x\) such that \(a + x = ρ(b − x).\)”

- Good mathematical notation should make it easier to understand the problem, and to find the solution
- Mathematical notation is (almost) universal. It helps to communicate ideas
- Careful notation
**keeps us honest**. It is harder to*fool ourselves*when we write explicit formulas.