Two Things I Can’t Resist: Space And Stationery. 

26 . 01 . 16 // give me a shot to remember

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what tips would you give to someone who wants to learn a new language, or continue learning a language over the summer break?? any apps or websites, or ways to stay motivated?

Learning a new language or continuing learning is honestly something I struggle with simply because of my experience with bad teachers, BUT I can still give you some tips on what I’ve done to stay motivated so far.

Find a language you are passionate about!! If you’re burnt out on what you’re learning, find a new language to learn. It’s not ideal to start back in square one, but it’s okay to do so!

Make flash cards! Everyone recommends this, but you can make a game out of what you’re learning. If you’re on the go, I recommend downloading Tinycards. Since it’s owned by Duolingo, they have sets premade for your target language.

Watch videos. This has helped a lot with learning a new language for me. You can either watch educational videos where you’re being taught grammar or vocab or you can watch videos of people speaking in your target language.

Interact with the language! Watch movies, listen to music, etc. Find different genres you might not enjoy in your native language and try them your target language! You never know what new content you come across that you enjoy.

Google Translate is not your enemy. It’s okay to use it. It’s not what people want to hear, but it’s ok to use if you’re struggling with how to pronounce a word or if there’s a word you simply just don’t know.

Pace yourself. Work on your target language at least 15 minutes a day especially for new learners. It sounds daunting, but practice makes for motivation.

Some apps/websites I recommend:

Duolingo

Tinycards

Memrise

YouTube (Use this to learn the alphabet and numbers. Duolingo seems to not understand “beginner” means you’re a beginner.)

Leo

Google Translate

Spotify/Pandora

Netflix/Hulu

These are all pretty standard tips that I’ve seen, but I fully stand by all of them. More tips can be found at my Langblr @ess-tset under the tag #learning. I hope this helps!

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your local mediocre student tries to be productive (aka finals are hard)

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When algorithms surprise us

Machine learning algorithms are not like other computer programs. In the usual sort of programming, a human programmer tells the computer exactly what to do. In machine learning, the human programmer merely gives the algorithm the problem to be solved, and through trial-and-error the algorithm has to figure out how to solve it.

This often works really well - machine learning algorithms are widely used for facial recognition, language translation, financial modeling, image recognition, and ad delivery. If you’ve been online today, you’ve probably interacted with a machine learning algorithm.

But it doesn’t always work well. Sometimes the programmer will think the algorithm is doing really well, only to look closer and discover it’s solved an entirely different problem from the one the programmer intended. For example, I looked earlier at an image recognition algorithm that was supposed to recognize sheep but learned to recognize grass instead, and kept labeling empty green fields as containing sheep.

When machine learning algorithms solve problems in unexpected ways, programmers find them, okay yes, annoying sometimes, but often purely delightful.

So delightful, in fact, that in 2018 a group of researchers wrote a fascinating paper that collected dozens of anecdotes that “elicited surprise and wonder from the researchers studying them”. The paper is well worth reading, as are the original references, but here are several of my favorite examples.

Bending the rules to win

First, there’s a long tradition of using simulated creatures to study how different forms of locomotion might have evolved, or to come up with new ways for robots to walk.

Why walk when you can flop? In one example, a simulated robot was supposed to evolve to travel as quickly as possible. But rather than evolve legs, it simply assembled itself into a tall tower, then fell over. Some of these robots even learned to turn their falling motion into a somersault, adding extra distance.

[Image: Robot is simply a tower that falls over.]

Why jump when you can can-can? Another set of simulated robots were supposed to evolve into a form that could jump. But the programmer had originally defined jumping height as the height of the tallest block so - once again - the robots evolved to be very tall. The programmer tried to solve this by defining jumping height as the height of the block that was originally the *lowest*. In response, the robot developed a long skinny leg that it could kick high into the air in a sort of robot can-can. 

[Image: Tall robot flinging a leg into the air instead of jumping]

Hacking the Matrix for superpowers

Potential energy is not the only energy source these simulated robots learned to exploit. It turns out that, like in real life, if an energy source is available, something will evolve to use it.

Floating-point rounding errors as an energy source: In one simulation, robots learned that small rounding errors in the math that calculated forces meant that they got a tiny bit of extra energy with motion. They learned to twitch rapidly, generating lots of free energy that they could harness. The programmer noticed the problem when the robots started swimming extraordinarily fast.

Harvesting energy from crashing into the floor: Another simulation had some problems with its collision detection math that robots learned to use. If they managed to glitch themselves into the floor (they first learned to manipulate time to make this possible), the collision detection would realize they weren’t supposed to be in the floor and would shoot them upward. The robots learned to vibrate rapidly against the floor, colliding repeatedly with it to generate extra energy.

[Image: robot moving by vibrating into the floor]

Clap to fly: In another simulation, jumping bots learned to harness a different collision-detection bug that would propel them high into the air every time they crashed two of their own body parts together. Commercial flight would look a lot different if this worked in real life.

Discovering secret moves: Computer game-playing algorithms are really good at discovering the kind of Matrix glitches that humans usually learn to exploit for speed-running. An algorithm playing the old Atari game Q*bert discovered a previously-unknown bug where it could perform a very specific series of moves at the end of one level and instead of moving to the next level, all the platforms would begin blinking rapidly and the player would start accumulating huge numbers of points. 

A Doom-playing algorithm also figured out a special combination of movements that would stop enemies from firing fireballs - but it only works in the algorithm’s hallucinated dream-version of Doom. Delightfully, you can play the dream-version here

[Image: Q*bert player is accumulating a suspicious number of points, considering that it’s not doing much of anything]

Shooting the moon: In one of the more chilling examples, there was an algorithm that was supposed to figure out how to apply a minimum force to a plane landing on an aircraft carrier. Instead, it discovered that if it applied a *huge* force, it would overflow the program’s memory and would register instead as a very *small* force. The pilot would die but, hey, perfect score.

Destructive problem-solving

Something as apparently benign as a list-sorting algorithm could also solve problems in rather innocently sinister ways.

Well, it’s not unsorted: For example, there was an algorithm that was supposed to sort a list of numbers. Instead, it learned to delete the list, so that it was no longer technically unsorted.

Solving the Kobayashi Maru test: Another algorithm was supposed to minimize the difference between its own answers and the correct answers. It found where the answers were stored and deleted them, so it would get a perfect score.

How to win at tic-tac-toe: In another beautiful example, in 1997 some programmers built algorithms that could play tic-tac-toe remotely against each other on an infinitely large board. One programmer, rather than designing their algorithm’s strategy, let it evolve its own approach. Surprisingly, the algorithm suddenly began winning all its games. It turned out that the algorithm’s strategy was to place its move very, very far away, so that when its opponent’s computer tried to simulate the new greatly-expanded board, the huge gameboard would cause it to run out of memory and crash, forfeiting the game.

In conclusion

When machine learning solves problems, it can come up with solutions that range from clever to downright uncanny. 

Biological evolution works this way, too - as any biologist will tell you, living organisms find the strangest solutions to problems, and the strangest energy sources to exploit. Sometimes I think the surest sign that we’re not living in a computer simulation is that if we were, some microbe would have learned to exploit its flaws.

So as programmers we have to be very very careful that our algorithms are solving the problems that we meant for them to solve, not exploiting shortcuts. If there’s another, easier route toward solving a given problem, machine learning will likely find it. 

Fortunately for us, “kill all humans” is really really hard. If “bake an unbelievably delicious cake” also solves the problem and is easier than “kill all humans”, then machine learning will go with cake.

Mailing list plug

If you enter your email, there will be cake!

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9 points about language learning and how I’m learning 20+ of them

I’ve had a few requests to write about how I learn my languages. To different degrees, there’s currently 20+ of them and I don’t see myself stopping yet. The thing is, learning languages comes really easily to me and I want to share, maybe it will be helpful to somebody else.

First, I’d like to have a look at first versus second language acquisition. I’m a linguist and I’m super interested in Child Language Acquisition. That however, has a critical age of 14 (or so I was always told) and is then no longer possible and any language learned after that age will never progress as quickly or can’t be learned perfectly. Well. I disagree. The simple difference is - first language acquisition is how you acquired your first language(s) as a child. By imitating, finding patterns, etc. Second language acquisition is what you know from language courses. Vocabulary, irregular verb tables, endless exercises. Now that we got some of the terminology off the table, let me see how I actually learn languages: 1) I utilise elements of the first language acquisition rather than second language I’ve only studied vocab a couple times at school, when I put them into Quizlet or when someone forced me to. I’ll get back to it in another point. I don’t learn patterns. I know there is one and I let the input do its magic of slithering into my head. Again, more on that in point 2. You always get told you’ll learn a language better when you’re thrown into the country where they speak it.  And it’s so true because of the processes behind it. Because input and immersion are the keys and that’s how children learn, too.

2) I don’t cram languages. I process them.

Around langblrs, I keep seeing all the ‘crying over verb tables’, ‘trying to learn a 1000 words this week’ and the like. That may work for you, sure. But I’ve never done that. I did learn a few irregular verb patterns for German in class, but while I could recite them, it wasn’t helpful. In Irish, I sometimes still wonder which verb ‘An ndeachaigh tú?’ comes from. The thing is, you’re able to process language. You know this word is probably irregular. If you come across it and don’t know what the irregular form is, look it up. After you’ve looked it up for the tenth time, you’ll probably remember by then. Same with anything else. Don’t try to learn things by heart when it comes to languages. 3) Vocab?? Same rule applies here. I’ve only learned vocab at school and then a handful of times when I wasn’t too lazy to put it into Quizlet (which is fun and I learn something, but it’s more of a useful pastime than anything). When you read, just skip the words you don’t know and only really look them up if you can’t tell by context. NEVER translate vocabulary. I mean, sure, look up what it means, but don’t connect it to the word itself. Connect it to the meaning. Pictures work better. As for abstract words, imagine the concept. Just try not to bridge the meaning of the word with your native language. Languages in your brain are meant to be two separate units. Unless you’re working on a translation piece, they shouldn’t be ‘touching’. 4) I use example sentences for everything.

Grammar guides are useful but rather than learning all the rules at once, take it one step at a time and remember some example sentences and let them guide you through the grammar rule you need.

5) Input is everything. Output is hard, but you’re basically imitating input and utilizing patterns you know (or think you know). Let me give you an example. Let’s say I’m writing a piece on my daily routine, for example. I make use of the example sentences and try to tailor them to my own needs. Trial and error, if I make a mistake, it’s okay, if somebody points it out, I probably won’t make it next time. As I progress, I will gradually remove the mistake. Same goes to new words and new verbs. Use the input you’ve got. Does this verb sound like some other verb you’ve heard before? It’s might have a similar conjugation pattern. You can check it, you don’t have to.

6) Learning languages should NOT be stressful! I never stressed over learning a language. Sure, I’m frustrated that after a year and a half of learning Irish, I’m not 100% fluent, but I’ve never stressed over it. I’ve never cried over it. I’ve never cried over a language (I only cried after a French oral exam which I thought I failed). Don’t be hard on yourself and try learning through a method that’s not stressful. Watch videos for children. Read books for children. Write down cool things in your target language(s). 7) You’ve learned a language before. Why wouldn’t you be able to learn it now in a very similar way? This is basically me saying that I have little belief in the efficiency of pure second language acquisition. Maybe a few individuals can reach fluency by cramming a language, the thing is, I think that if we concentrate on processing instead of remembering, just like we did when we were children, we can reach better results in a shorter amount of time. Also, if this is your third or fourth language, compare to languages you already know. 8) I don’t start with basics. I start ‘somewhere’.

Delve into the language the second you’ve started. Are you overwhelmed? That’s fine! You’ll find your way around it. Start with word meanings, finding out what kind of sentences those are and then build your way around it. Don’t start saying ‘hello’ and ‘I’m from’. Those are cool, but usually, they are used in a different way when you actually go out and speak. You’ll get them along the way.

9) Don’t rely on instructions (only). Rely on yourself.

This is just my two cents. I’ve pieced this together trying to remember how I’ve learned what I’ve learned and comparing it to how others around me learned. Please, let me know if it makes any sense. I may edit this and post this again later if I have any more ideas. Feel free to contribute or to bombard me with questions. I’m happy to answer.

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Notetaking

Sound Note - take notes while you record audio

Evernote - notetaking that syncs across platforms

Paper 53 - minimal notetaking that syncs

Microsoft OneNote - collaboration and syncing, best for Office users

Google Keep - jot things down, best for Google suite users

Notability - take notes and annotate PDFs

Mindly - create mind maps

Day One - a digital journal

Flash Cards

Quizlet - the quintessential flash card app

StudyBlue - another commonly used app

Cram - best for its “cram mode”

Eidetic - uses spaced repetition for effective memorization

Planner 

My Study Life - schedules, tasks, reminders, and more

StudyCal - keeps track of tasks, exams, and grades

24me - automated reminders and event planning

iStudiez - schedule and prioritized task list

Google Calendar - a calendar, best for Google users

Glass Planner - a calendar and to do list with incredible functionality

To Do List

Clear - organized to-do and reminders

MinimaList - simple to-do and focus timer

Trello - collaborative project organizer

Todoist - clean and functional task manager

Default notes app on your phone

Time Management

Forest - plant trees by staying focused

Pomotodo - pomodoro timer with to-do list

Timeglass - custom timers

Tide - pomodoro with white noise

Alarmy - forces you out of bed 

Pillow - smart alarm that tracks sleep cycles

Productivity

Workflow - automate tasks

Habitica - turn your habits into an RPG

Continuo - simple, colorful activity tracking

Freedom - block distracting apps

Free Learning

Coursera - free MOOCs

TED - listen to Ted Talks

Duolingo - language learning

Memrise - spaced repetition language vocabulary

Khan Academy - free video lessons

Ambient Noise

8tracks - curated playlists

Spotify - online music streaming

Coffitivity - cafe ambience

Noisli - background sound generator

Rain Rain - rain sounds

Binaural - binaural beats

Health

Rockin Ramen - recipes based on ramen

MealBoard - meal planning

Lifesum - healthy eating

Stop Breath And Think - mindfulness meditation

Pacifica - mental health management

Sworkit - personalized video workouts

Waterlogged - hydration tracker

Reference

WolframAlpha - Google on steroids

Oxford Dictionary - all of English at your fingertips

RefMe - citation generator

PhotoMath - solve math problems by taking a photo

Mathway - step by step math help

Desmos - free graphing calculator

Wikipedia - not the best source, but it’s handy

Miscellaneous 

Companion - stay safe when walking alone

Mint - money management

Toshl - finance manager

Tiny Scanner - scan documents

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How to Study Like a Harvard Student

Taken from Sophia Chua-Rubenfeld, daughter of the Tiger Mother

Preliminary Steps 1. Choose classes that interest you. That way studying doesn’t feel like slave labor. If you don’t want to learn, then I can’t help you. 2. Make some friends. See steps 12, 13, 23, 24. General Principles 3. Study less, but study better. 4. Avoid Autopilot Brain at all costs. 5. Vague is bad. Vague is a waste of your time. 6. Write it down. 7. Suck it up, buckle down, get it done. Plan of Attack Phase I: Class 8. Show up. Everything will make a lot more sense that way, and you will save yourself a lot of time in the long run. 9. Take notes by hand. I don’t know the science behind it, but doing anything by hand is a way of carving it into your memory. Also, if you get bored you will doodle, which is still a thousand times better than ending up on stumbleupon or something. Phase II: Study Time 10. Get out of the library. The sheer fact of being in a library doesn’t fill you with knowledge. Eight hours of Facebooking in the library is still eight hours of Facebooking. Also, people who bring food and blankets to the library and just stay there during finals week start to smell weird. Go home and bathe. You can quiz yourself while you wash your hair. 11. Do a little every day, but don’t let it be your whole day. “This afternoon, I will read a chapter of something and do half a problem set. Then, I will watch an episode of South Park and go to the gym” ALWAYS BEATS “Starting right now, I am going to read as much as I possibly can…oh wow, now it’s midnight, I’m on page five, and my room reeks of ramen and dysfunction.” 12. Give yourself incentive. There’s nothing worse than a gaping abyss of study time. If you know you’re going out in six hours, you’re more likely to get something done. 13. Allow friends to confiscate your phone when they catch you playing Angry Birds. Oh and if you think you need a break, you probably don’t. Phase III: Assignments 14. Stop highlighting. Underlining is supposed to keep you focused, but it’s actually a one-way ticket to Autopilot Brain. You zone out, look down, and suddenly you have five pages of neon green that you don’t remember reading. Write notes in the margins instead. 15. Do all your own work. You get nothing out of copying a problem set. It’s also shady. 16. Read as much as you can. No way around it. Stop trying to cheat with Sparknotes. 17. Be a smart reader, not a robot (lol). Ask yourself: What is the author trying to prove? What is the logical progression of the argument? You can usually answer these questions by reading the introduction and conclusion of every chapter. Then, pick any two examples/anecdotes and commit them to memory (write them down). They will help you reconstruct the author’s argument later on. 18. Don’t read everything, but understand everything that you read. Better to have a deep understanding of a limited amount of material, than to have a vague understanding of an entire course. Once again: Vague is bad. Vague is a waste of your time. 19. Bullet points. For essays, summarizing, everything. Phase IV: Reading Period (Review Week) 20. Once again: do not move into the library. Eat, sleep, and bathe. 21. If you don’t understand it, it will definitely be on the exam. Solution: textbooks; the internet. 22. Do all the practice problems. This one is totally tiger mom. 23. People are often contemptuous of rote learning. Newsflash: even at great intellectual bastions like Harvard, you will be required to memorize formulas, names and dates. To memorize effectively: stop reading your list over and over again. It doesn’t work. Say it out loud, write it down. Remember how you made friends? Have them quiz you, then return the favor. 24. Again with the friends: ask them to listen while you explain a difficult concept to them. This forces you to articulate your understanding. Remember, vague is bad. 25. Go for the big picture. Try to figure out where a specific concept fits into the course as a whole. This will help you tap into Big Themes – every class has Big Themes – which will streamline what you need to know. You can learn a million facts, but until you understand how they fit together, you’re missing the point. Phase V: Exam Day 26. Crush exam. Get A.

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FAMOUS AUTHORS

Classic Bookshelf: This site has put classic novels online, from Charles Dickens to Charlotte Bronte.

The Online Books Page: The University of Pennsylvania hosts this book search and database.

Project Gutenberg: This famous site has over 27,000 free books online.

Page by Page Books: Find books by Sir Arthur Conan Doyle and H.G. Wells, as well as speeches from George W. Bush on this site.

Classic Book Library: Genres here include historical fiction, history, science fiction, mystery, romance and children’s literature, but they’re all classics.

Classic Reader: Here you can read Shakespeare, young adult fiction and more.

Read Print: From George Orwell to Alexandre Dumas to George Eliot to Charles Darwin, this online library is stocked with the best classics.

Planet eBook: Download free classic literature titles here, from Dostoevsky to D.H. Lawrence to Joseph Conrad.

The Spectator Project: Montclair State University’s project features full-text, online versions of The Spectator and The Tatler.

Bibliomania: This site has more than 2,000 classic texts, plus study guides and reference books.

Online Library of Literature: Find full and unabridged texts of classic literature, including the Bronte sisters, Mark Twain and more.

Bartleby: Bartleby has much more than just the classics, but its collection of anthologies and other important novels made it famous.

Fiction.us: Fiction.us has a huge selection of novels, including works by Lewis Carroll, Willa Cather, Sherwood Anderson, Flaubert, George Eliot, F. Scott Fitzgerald and others.

Free Classic Literature: Find British authors like Shakespeare and Sir Arthur Conan Doyle, plus other authors like Jules Verne, Mark Twain, and more.

TEXTBOOKS

Textbook Revolution: Find biology, business, engineering, mathematics and world history textbooks here.

Wikibooks: From cookbooks to the computing department, find instructional and educational materials here.

KnowThis Free Online Textbooks: Get directed to stats textbooks and more.

Online Medical Textbooks: Find books about plastic surgery, anatomy and more here.

Online Science and Math Textbooks: Access biochemistry, chemistry, aeronautics, medical manuals and other textbooks here.

MIT Open Courseware Supplemental Resources: Find free videos, textbooks and more on the subjects of mechanical engineering, mathematics, chemistry and more.

Flat World Knowledge: This innovative site has created an open college textbooks platform that will launch in January 2009.

Free Business Textbooks: Find free books to go along with accounting, economics and other business classes.

Light and Matter: Here you can access open source physics textbooks.

eMedicine: This project from WebMD is continuously updated and has articles and references on surgery, pediatrics and more.

MATH AND SCIENCE

FullBooks.com: This site has “thousands of full-text free books,” including a large amount of scientific essays and books.

Free online textbooks, lecture notes, tutorials and videos on mathematics: NYU links to several free resources for math students.

Online Mathematics Texts: Here you can find online textbooks likeElementary Linear Algebra and Complex Variables.

Science and Engineering Books for free download: These books range in topics from nanotechnology to compressible flow.

FreeScience.info: Find over 1800 math, engineering and science books here.

Free Tech Books: Computer programmers and computer science enthusiasts can find helpful books here.

CHILDREN’S BOOKS

byGosh: Find free illustrated children’s books and stories here.

Munseys: Munseys has nearly 2,000 children’s titles, plus books about religion, biographies and more.

International Children’s Digital Library: Find award-winning books and search by categories like age group, make believe books, true books or picture books.

Lookybook: Access children’s picture books here.

PHILOSOPHY AND RELIGION

Bored.com: Bored.com has music ebooks, cooking ebooks, and over 150 philosophy titles and over 1,000 religion titles.

Ideology.us: Here you’ll find works by Rene Descartes, Sigmund Freud, Karl Marx, David Hume and others.

Free Books on Yoga, Religion and Philosophy: Recent uploads to this site include Practical Lessons in Yoga and Philosophy of Dreams.

The Sociology of Religion: Read this book by Max Weber, here.

Religion eBooks: Read books about the Bible, Christian books, and more.

PLAYS

ReadBookOnline.net: Here you can read plays by Chekhov, Thomas Hardy, Ben Jonson, Shakespeare, Edgar Allan Poe and others.

Plays: Read Pygmalion, Uncle Vanya or The Playboy of the Western World here.

The Complete Works of William Shakespeare: MIT has made available all of Shakespeare’s comedies, tragedies, and histories.

Plays Online: This site catalogs “all the plays [they] know about that are available in full text versions online for free.”

ProPlay: This site has children’s plays, comedies, dramas and musicals.

MODERN FICTION, FANTASY AND ROMANCE

Public Bookshelf: Find romance novels, mysteries and more.

The Internet Book Database of Fiction: This forum features fantasy and graphic novels, anime, J.K. Rowling and more.

Free Online Novels: Here you can find Christian novels, fantasy and graphic novels, adventure books, horror books and more.

Foxglove: This British site has free novels, satire and short stories.

Baen Free Library: Find books by Scott Gier, Keith Laumer and others.

The Road to Romance: This website has books by Patricia Cornwell and other romance novelists.

Get Free Ebooks: This site’s largest collection includes fiction books.

John T. Cullen: Read short stories from John T. Cullen here.

SF and Fantasy Books Online: Books here include Arabian Nights,Aesop’s Fables and more.

Free Novels Online and Free Online Cyber-Books: This list contains mostly fantasy books.

FOREIGN LANGUAGE

Project Laurens Jz Coster: Find Dutch literature here.

ATHENA Textes Francais: Search by author’s name, French books, or books written by other authors but translated into French.

Liber Liber: Download Italian books here. Browse by author, title, or subject.

Biblioteca romaneasca: Find Romanian books on this site.

Bibliolteca Virtual Miguel de Cervantes: Look up authors to find a catalog of their available works on this Spanish site.

KEIMENA: This page is entirely in Greek, but if you’re looking for modern Greek literature, this is the place to access books online.

Proyecto Cervantes: Texas A&M’s Proyecto Cervantes has cataloged Cervantes’ work online.

Corpus Scriptorum Latinorum: Access many Latin texts here.

Project Runeberg: Find Scandinavian literature online here.

Italian Women Writers: This site provides information about Italian women authors and features full-text titles too.

Biblioteca Valenciana: Register to use this database of Catalan and Valencian books.

Ketab Farsi: Access literature and publications in Farsi from this site.

Afghanistan Digital Library: Powered by NYU, the Afghanistan Digital Library has works published between 1870 and 1930.

CELT: CELT stands for “the Corpus of Electronic Texts” features important historical literature and documents.

Projekt Gutenberg-DE: This easy-to-use database of German language texts lets you search by genres and author.

HISTORY AND CULTURE

LibriVox: LibriVox has a good selection of historical fiction.

The Perseus Project: Tufts’ Perseus Digital Library features titles from Ancient Rome and Greece, published in English and original languages.

Access Genealogy: Find literature about Native American history, the Scotch-Irish immigration in the 19th and 20th centuries, and more.

Free History Books: This collection features U.S. history books, including works by Paul Jennings, Sarah Morgan Dawson, Josiah Quincy and others.

Most Popular History Books: Free titles include Seven Days and Seven Nights by Alexander Szegedy and Autobiography of a Female Slave by Martha G. Browne.

RARE BOOKS

Questia: Questia has 5,000 books available for free, including rare books and classics.

ARTS AND ENTERTAINMENT

Books-On-Line: This large collection includes movie scripts, newer works, cookbooks and more.

Chest of Books: This site has a wide range of free books, including gardening and cooking books, home improvement books, craft and hobby books, art books and more.

Free e-Books: Find titles related to beauty and fashion, games, health, drama and more.

2020ok: Categories here include art, graphic design, performing arts, ethnic and national, careers, business and a lot more.

Free Art Books: Find artist books and art books in PDF format here.

Free Web design books: OnlineComputerBooks.com directs you to free web design books.

Free Music Books: Find sheet music, lyrics and books about music here.

Free Fashion Books: Costume and fashion books are linked to the Google Books page.

MYSTERY

MysteryNet: Read free short mystery stories on this site.

TopMystery.com: Read books by Edgar Allan Poe, Sir Arthur Conan Doyle, GK Chesterton and other mystery writers here.

Mystery Books: Read books by Sue Grafton and others.

POETRY

The Literature Network: This site features forums, a copy of The King James Bible, and over 3,000 short stories and poems.

Poetry: This list includes “The Raven,” “O Captain! My Captain!” and “The Ballad of Bonnie and Clyde.”

Poem Hunter: Find free poems, lyrics and quotations on this site.

Famous Poetry Online: Read limericks, love poetry, and poems by Robert Browning, Emily Dickinson, John Donne, Lord Byron and others.

Google Poetry: Google Books has a large selection of poetry, fromThe Canterbury Tales to Beowulf to Walt Whitman.

QuotesandPoem.com: Read poems by Maya Angelou, William Blake, Sylvia Plath and more.

CompleteClassics.com: Rudyard Kipling, Allen Ginsberg and Alfred Lord Tennyson are all featured here.

PinkPoem.com: On this site, you can download free poetry ebooks.

MISC

Banned Books: Here you can follow links of banned books to their full text online.

World eBook Library: This monstrous collection includes classics, encyclopedias, children’s books and a lot more.

DailyLit: DailyLit has everything from Moby Dick to the recent phenomenon, Skinny Bitch.

A Celebration of Women Writers: The University of Pennsylvania’s page for women writers includes Newbery winners.

Free Online Novels: These novels are fully online and range from romance to religious fiction to historical fiction.

ManyBooks.net: Download mysteries and other books for your iPhone or eBook reader here.

Authorama: Books here are pulled from Google Books and more. You’ll find history books, novels and more.

Prize-winning books online: Use this directory to connect to full-text copies of Newbery winners, Nobel Prize winners and Pulitzer winners.

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what do u mean "From what I know, getting into med school/law school/similar programs is actually harder for students who got their undergrad in pre-med/pre-law/pre-that field." that makes no sense? u get into a med school by taking pre med classes in undergrad?

I totally understand your confusion. The idea that pre-med isn’t the best thing to major in to get into med school flies in the face of logic/conventional wisdom.First off, I’d like to correct myself by saying that (for example) getting into med school with a pre-med undergrad isn’t harder from what I understand, but it’s not necessarily any better than majoring in something else. There’s two major reasons for this.One, med schools/other grad programs want to be able to claim diversity in their population when it comes to their students undergrad majors. They want to be able to point at their grad students and say “Look! We have students from every field of undergrad studies!”Two, schools care a lot more about how you do as a student rather than the classes you take. They want hard working dedicated students, which there are plenty of outside of pre-med/pre-law/whatever else.I hope that made sense! If you have more questions you can keep asking.

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how i use notion #1: mega assignment list

i promised i would update this from last year, and decided to do a walkthrough for @sleepanon!

i’ve taken my school bujo-ing digital for the past year, so i’m going to create a mini-series of how i’ve tinkered with notion to make it work for me! there’s a fair learning curve to it, so my inbox is open for questions if you have any from my posts (not notion in general. ..i’m not an expert lol).

step 1: start a new page! under database, select table

step 2: rename the labels to assignments and class (leave Files alone) for now. you can also title the page and add icons/covers

step 3: select the files label, then under ‘property type’ change it to ‘date’ (this is for deadlines–i start with my official syllabus dates)

ALSO a part of step 3, but after changing to the deadline property, add another one! click that next label, and follow the same menu as above, but select checkbox to give you an option to ‘complete’ your tasks:

step 4: in the ‘class’ row (the first blank after the label), type in a course name to create a tag. once you do so, you can select the tag to edit it or change colors // you can repeat this step as many times as you need to for your assignments. i like to do my entire semester at once since i work ahead of the syllabus, but it might be good to take it month by month!

step 5: now, let’s add the calendar view. on the lefthand side, ‘add view’, name it, then select calendar (not just highlight like me, but click it!)

step 6: you should now see your assignments on the calendar. on the right side (top) of the calendar, click ‘properties’ and turn everything on!

you can also filter the calendar to only show completed/non completed tasks or by class:

and you can click on any assignment to open it, and add further properties:

again, if you have any questions about this, please let me know! 

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