Welcome to Great Explorers!

This general elective course is open to students from all schools, programs, and years. The language of instruction is English. 

Here is the course syllabus, which includes the lectures schedule. It's important to consult this website before each lecture, for lecture materials and up-to-date zoom links (which may change during the semester).

June 7:  Exploring Democracy

Lecture slides

Reading

This week there are two readings, described in these Reading Guidelines.

More resources

Future reading (when you have time and interest) 

May 31: Lewis and Clark: The Opening of the American West

Lecture slides

Mandatory reading:  Lewis and Clark. Excerpts from the book Undaunted Courage, by Stephen Ambrose.

Quiz: There may be a quiz about the readings that was assigned last week (Watson and Crick).

More resources: 

Crash course in early American history (optional):

The story of the American Revolution and the formation of the United States of America is a fascinating and crucially important chapter in modern history.  The following books are all brilliant, written by authors who are both top notch historians and wonderful writers. 

May 24: Watson, Crick, Franklin: Discovering Life's Algorithm

Lecture slides

The lecture today has moved to room  SL302 (Radzyner Susutainability / Law building)

Mandatory reading:  The Double Helix (excerpts) , by James Watson.  A scattered collection of texts from Watson's hilarious personal account of his role in making the most stunning scientific discovery of the 20th century. 

Quiz: There may be a quiz about the reading that was assigned last week (Darwin).

More resources: 

Optional reading / resources:

May 17: Charles Darwin: The Voyage that Launched the Modern World

Lecture slides

Mandatory reading:  A selection of texts about Evolution taken from the book "The Beak of the Finch" by Jonathan Weiner.  The book tells the story of Rosemary and Peter Grant, a couple of life scientists from Princeton, whose 1980 study of the Galapagos Islands revealed that evolution progresses in a much faster pace than previously thought.  The text also contains an excellent and passionate introduction to the theory of Evolution and Darwin's legacy.

Quiz: There may be a quiz about the reading that was assigned last week (Magellan).

More resources: 

Optional reading / resources:

A debate between Islam and Science: Worth watching, but don't hesitate to fast-forward here and there.  Physicist Lawrence Krauss demolishes various religious arguments, but does it in the arrogant and patronizing way that gave Atheism a bad reputation. 

A selection of texts about Darwin's life and career, taken from the next reference listed below.  

Charles Darwin: A Biography, Vol. 1 - Voyaging, by Janet Browne. Many biographies were written about Darwin, and this is probably the best one. 

Charles Darwin: A Biography, Vol. 2 - The Power of Place: Second volume of the Janet Browne biography, focusing on Darwin's post-voyage life and career.

Voyage of the Beagle: Darwin's own account of the great voyage around the world. 

Last Chance to See: If you read one book by Douglas Adams (author of the The Hitchhiker's Guide to the Galaxy),  you want to read them all. This book is about travelling around the world and visiting various fish and birds that are about to go extinct.

Longitude: by Dava Sobel. The story of a lone watchmaker genius who solved the greatest scientific problem of his time: Finding one's longitude anyplace on earth (there is also an album-style illustrated version of the same book). A must reading for navigation and seafaring aficionados. 

The Invention of Nature: Alexander von Humboldt's New World, by Andrea Wolf. Alexander Humboldt was the greatest nature explorer and scholar that operated before Darwin. More cities, roads and rivers are named after him than any other person that ever lived. A sweeping biography of this forgotten German scientist, who was the first European who explored Venezuela, Ecuador, and other parts of northern Latin America.  An excellent Hebrew translation is also available.

May 10:  Magellan, Over the Edge of the World

Lecture slides 

Mandatory reading: Magellan.

There may be a quiz about the mandatory reading assigned on May 3.

Optional reading:

More resources: 

May 3:  Shackleton, and the Saga of the Endurance

Lecture slides

Mandatory reading (which you are expected to read after the lecture): 

Optional reading:

There may be a quiz about the mandatory reading assigned on April 26.

April 26:  Racing to the South Pole

This week we are returning to on-campus lectures.  We'll meet in the Elpern Auditorium, at 17:30.  Students who have official RUNI permission to be away from the campus can attend the lecture in zoom. All other students are expected to attend the lecture in the campus. We will start checking attendance using the EZCheck app, so make sure that you've installed it on your phone before the lecture (Download for iPhone  Download for Android).

Class Notes:

Mandatory reading:

Optional reading:

April 12: Two Lectures

On April 12 we'll have two lectures, back to back. The first lecture will complete the AI overview that we started on March 22. The second lecture will give an overview of Polar Explorations. 

Both lectures will be given in zoom only: https://runi-ac-il.zoom.us/j/86585419308

Here are the First lecture slides (AI, 17:30 to 19:00)

Here are the Second lecture slides (Polar Explorations, 19:15 to 20:45)

AI Readings (optional):

The Illustrated Transfomer: By Jay Alammar, an AI engineer and author. Explains the key techniques that drive Chatbots and generative AI tools.  It is recommended to focus on the main ideas and ignore the technical details

Deep Reinforcement Learning: Pong from Pixels. (for technically inclined students): By Andrej Karpathy, co-founder of Open AI and former AI Director in Tesla. Here, too, you may focus on the main ideas and ignore the mathematical parts. 

Polar expolrations reading (which, as usual in this course,  you have to read after the lecture, and before the next one):

Optional Polar Explorations resources:

March 22: AI: Foundations

This lecture will be given in zoom only: https://runi-ac-il.zoom.us/j/87242608461

(This lecture will be also be attended by many first-year students who are now taking a course named DNAI. Note that the zoom link is different than the normal link of the Great Explorers course. I will start the lecture with a few words in Hebrew, and then switch to English).

Here are the Lecture Slides.

Homework: Here are some questions about what was learned in the lecture. Each question provides references to some additional 15-minute reading.  Pick two questions and answer them, using no more than one page. This is a self-study exercise, there is no need to submit it.

The readings below are optional. They are aimed at students who want to get a solid understanding of Machine Learning.

Reading 1:  “Why Machines Learn”, by Anil Ananthaswamy. The book's title is strange, but the contents are brilliant. Start by reading the first two chapters. Chapter 1 discusses the architecture and performance of a single artificial neuron, also known as Perceptron.  Chapter 2 is an elegant introduction to basic Linear Algebra artifacts (vectors and matrices) that are at the very heart of the theory and practice of Artificial Intelligence and Machine Learning. There is no way to understand AI/ML deeply without some mathematical background. This reading provides a gentle (but non-trivial) introduction to the key mathematical ideas underlying AI and ML, aimed at readers without previous mathematical knowledge beyond basic high school math.  If you don't have access to RUNI's digital library, you can access most of this reading here.

March 22: AI: Foundations

This lecture will be given in zoom only: https://runi-ac-il.zoom.us/j/87242608461

(This lecture will be also be attended by many first-year students who are now taking a course named DNAI. Note that the zoom link is different than the normal link of the Great Explorers course. I will start the lecture with a few words in Hebrew, and then switch to English).

Here are the Lecture Slides.

Homework: Here are some questions about what was learned in the lecture. Each question provides references to some additional 15-minute reading.  Pick two questions and answer them, using no more than one page. This is a self-study exercise, there is no need to submit it.

The readings below are optional. They are aimed at students who want to get a solid understanding of Machine Learning.

Reading 1:  “Why Machines Learn”, by Anil Ananthaswamy. The book's title is strange, but the contents are brilliant. Start by reading the first two chapters. Chapter 1 discusses the architecture and performance of a single artificial neuron, also known as Perceptron.  Chapter 2 is an elegant introduction to basic Linear Algebra artifacts (vectors and matrices) that are at the very heart of the theory and practice of Artificial Intelligence and Machine Learning. There is no way to understand AI/ML deeply without some mathematical background. This reading provides a gentle (but non-trivial) introduction to the key mathematical ideas underlying AI and ML, aimed at readers without previous mathematical knowledge beyond basic high school math.  If you don't have access to RUNI's digital library, you can access most of this reading here.

Reading 2:  “Machine Learning Yearning”, by Andrew Ng, a leading Machine Learning educator, researcher, and practitioner. This freely available digital book assumes basic knowledge of AI and ML concepts and theory. It is recommended to start reading it after the next AI lecture, on April 12.

March 15: Explorations in Mathematics

We normally discuss explorations in Math, Computer Science, and AI later in the course. This year we'll do so at the beginning of the course, for reasons that will be explained in the lecture.

This lecture will be given in zoom only: https://runi-ac-il.zoom.us/j/86347129284

Here are the Lecture Slides.

More resources

Optional reading

About Compass and Straightedge (Hebrew): An article about their role in mathematics.

Three great books about the spirit and beauty of mathematics: