06.10.17 // Constructive Details Keep Getting More Difficult Every Class, But I Think Until Now I’m

my masterlist of 'how to life’ tips

Cleaning & Tidying

Make your bed in the morning. It takes seconds, and it’s worth it.

Reset to zero each morning. 

Use the UFYH 20/10 system for clearing your shit. 

Get a reed diffuser and stick it on your windowsill. 

Have a ‘drop-zone’ box where you dump anything and everything. At the beginning/end of the day, clear it out and put that shit away.

Roll your clothes, don’t fold them - or fold them vertically.

Automate your chores. Have a cleaning schedule and assign 15mins daily to do whatever cleaning tasks are set for that day. Set a timer and do it - once the timer is up, finish the task you’re on and leave it for the day. 

Fold your clothes straight out of the tumble dryer (if you use one), whilst they’re still warm. This minimises creases and eliminates the need for ironing. 

Clean your footwear regularly and you’ll feel like a champ. 

Organisation & Productivity

Learn from Eisenhower’s Importance/Urgency matrix. 

Try out the two-minute rule and the Pomodoro technique.

Use. A. Planner. (Or Google Calendar, if that’s more your thing.)

Try bullet journalling.

Keep a notebook/journal/commonplace book to dump your brain contents in on the regular. 

Set morning alarms at two-minute intervals rather than five, and stick your alarm on the other side of the room. It’s brutal, but it works. 

Set three main goals each day, with one of them being your #1 priority. Don’t overload your to-do list or you’ll hit overload paralysis and procrastinate. 

If you’re in a slump, however, don’t be afraid to put things like “shower” on your to do list - that may be a big enough goal in itself, and that’s okay. 

Have a physical inbox - a tray, a folder, whatever. If you get a piece of paper, stick it in there and sort through it at the end of the week.

Consider utilising the GTD System, or a variation of it.

Try timeboxing. 

Have a morning routine, and guard that quiet time ferociously. 

Save interesting-looking shit to instapaper. Have a set time where you read through the stuff you saved to instapaper and save the shit that you like from instapaper to evernote (or bookmark it properly). 

During your working hours, put on your footwear, even if you’re sat on your bed. (Why?)

Have a folder for all your important documents and letters, organised by topic (e.g. medical, bank, university, work, identification). At the front of this folder, have a sheet of paper with all the key information written on it, such as your GP’s details, your passport details, driving licence details, bank account number, insurance number(s), and so on. 

Try using StayFocusd and RescueTime (or similar apps/extensions). (I promise, you’ll find that you’re not as busy as you think you are.)

Schedule working time and down time alike, in the balance that works for you. 

Money

Have. A. God. Damn. Budget. 

Use a money tracker like toshl, mint, or splitwise. Enter all expenses asap! (You will forget, otherwise.)

Have a ‘money date’ each week, where you sort through your finances from the past seven days and then add it to a spreadsheet. This will help you identify your spending patterns and whether your budget is actually working or not. 

Pack your own frickin’ lunch like a grown-up and stop buying so many takeaway coffees. Keep snacks in your bag. 

Go to your bank and take out £100 in £1 coins (or w/e your currency is). That shit will come in useful for all kinds of things and you’ll never be short on change for the bus or the laundry. 

Food & Cooking

Know how to cook the basics: a starch, a protein, a vegetable, and a sauce.

Simple, one-pot meals (“a grain, a green, and a bean”) are a godsend. 

Dried porcini mushrooms make a fantastic stock to cook with. 

Batch cook and freeze. Make your own ‘microwave meals’. 

Buy dried goods to save money - rice and beans are a pittance. (Remember to soak dried beans first, though!) 

Consider Meatless Mondays; it’s healthier, cheaper, and more environmentally friendly.

Learn which fruits and vegetables are cheapest at your store, and build a standard weekly menu around those. (Also remember that frozen vegetables are cheap and healthy.) 

Learn seasoning combinations. Different seasoning, even with the exact same ingredients, can make a dish seem completely new. 

Don’t buy shit for a one-off recipe, especially if you won’t use it all. If you really want to try out a recipe, see if a friend would be interested in making it with you, then pool for the expenses. 

Make your own goddamned pasta sauce. Jamie Oliver has a decent recipe here, but the beauty of tomato sauce is that you can totally wing it and adapt the fuck out of it. 

Misc

Have a stock email-writing format. 

Want to start running, but find it boring? Try Zombies, Run!. 

Keep a goddamn first aid kit and learn how to use it. 

Know your OTC pain relief. 

Update your CV regularly. 

Keep a selection of stamps and standard envelopes for unexpected posting needs. (It happens more regularly than you would think!) 

Some final words of advice:

Organisation is not a goal in itself, it is a tool. Don’t get caught up in the illusion of productivity and get distracted from the actual task at hand. 

Routines and habits will help you. Trust in them.

You have the potential to be an organised and productive person, just as much as anybody else. It just takes practice. 

What you do speaks so loudly that I cannot hear what you say.

—  Ralph Waldo Emerson

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

hey!! so a lot of us are interested about space but don’t know how to go about studying about it, this is a masterpost for all of those people who wish to learn about the universe <3

learn!!!

astronomy crash course

space + nasa news

bbc space

nasa space place

best space documentaries

best space books + sci-fi

best science + tech podcasts

posts + fun stuff!!

how we’d live on mars infographic

my space tag on my main blog!! [actually my url means space in maltese B-)]

the nasa instagram which is my fav!!!

nasa shop

nasa website yo!!!

spatial tunes

fav space app!!!!

25 best space movies

spatial studyspo here

my masterposts

notes, studying, and self-study resources

self-study resources

supplies

igcse resources

improving your handwriting

how to studyblr

literature masterpost

organisation

aesthetically pleasing notes

annotating

studying a foreign language

really great apps

math

college + uni

motivation

biology

+ more

hope this helps!!! feel free to come talk to me about space anytime <3

If you spend a lot of time on your laptop for work, study, etc., you should definitely check out this app called Noizio. It provides ambient background sounds that help calm you or keep you focused. You can even make and save your own combination of sounds. My personal favourite is winter wind + wind chimes + sea waves. Each sound’s volume can be adjusted individually as well!

GOOD STUDYING VS BAD STUDYING

GOOD STUDYING

Use recall. When you look at a passage and try to study it,  look away and recall the main ideas. Try recalling concepts when you are walking to class or in a different room from where you originally learned it. An ability to recall—to generate the ideas from inside yourself—is one of the key indicators of good learning.

Test yourself. On everything. All the time. Flashcards are your best friend. Use quizlet if you don’t want to hand-make flashcards. Get somebody to test you on your notes.

Space your repetition. Spread out your learning in any subject a little every day, just like an athlete. Don’t sit and study one subject for 2 hours, do half an hour every day.

Take breaks. It is common to be unable to solve problems or figure out concepts in math or science the first time you encounter them. This is why a little study every day is much better than a lot of studying all at once. When you get frustrated, take a break so that another part of your mind can take over and work in the background. You need breaks in order for your brain to retain the information. Try the Pomodoro method if you have trouble timing breaks!

Use simple analogies. Whenever you are struggling with a concept, think to yourself, How can I explain this so that a ten-year-old could understand it? Using an analogy really helps. Say it out loud, like you’re teaching it, whether it’s to an imaginary class or your sister who couldn’t care less.  The additional effort of teaching out loud allows you to more deeply encode.

Focus. Turn off your phone / iPad / any distractions and clear your desk of everything you do not need. Use apps like Forest if you can’t stay off them!

Do the hardest thing earliest in the day, when you’re wide awake and less likely to push it aside.

BAD STUDYING

Avoid these techniques—they can waste your time even while they fool you into thinking you’re learning!

Passive rereading—sitting passively and running your eyes back over a page. This is a waste of time, frankly, and doesn’t do anything to help information pass into your brain without recall.

Over-highlighting. Colouring a passage of text in highlighter isn’t helpful at all. It’s good for flagging up key points to trigger concepts and information, but make sure what you highlight goes in.

Waiting until the last minute to study. DON’T CRAM!!!

Doing what you know. This isn’t studying! This is like learning how to juggle but only throwing one ball. 

Neglecting the textbook. Would you dive into a pool before you knew how to swim? The textbook is your swimming instructor—it guides you toward the answers. 

Not asking your teachers for help. They are used to lost students coming in for guidance—it’s their job to help you. 

Not getting enough sleep. Your brain practices and repeats whatever you put in mind before you go to sleep, as well as retaining information and repairing itself. Prolonged fatigue allows toxins to build up in the brain that disrupts the neural connections you need to think quickly and well. 

USMLE STEP 1 STUDY TOOLS AND TIPS

It is approaching that time of year where the second year medical students are preparing to cram for the United States Medical Licensing Exam Step 1. A test some consider to be the most important exam of medical school and subsequently determines the rest of your life. That is a little dramatic but I think it should be your goal to do the best you can. Here are some of the tools I used to study for Step 1:

First Aid for the USMLE Step 1 2017

This is the holy bible of USMLE Step 1 studying. I highly recommend this book and I think almost every medical student who has taken the test would say the same. I would read through this book 2-3 times to really have it sink in.

Pathoma

A lecture series made by a certifiable genius: Dr. Husain Sattar, a pathologist from the University of Chicago. This series was amazing and incredibly detailed. A lot of high yield material is covered in his lectures. 

https://www.pathoma.com 

USMLE World

The question bank of all question banks. Though it may be school dependent, almost everyone from my medical school chose to go with this question bank. A couple thousand questions covering the majority of USMLE Step 1 topics. The questions are challenging but you will see your scores improve as you continue to study throughout your first and second year. I’ve even used this product for Step 2 and I am currently (literally open on my computer) using it for Step 3. My number one goal would be to complete every question offered in this question bank, it is a lot but well worth it.

https://www.uworld.com

The rest are to cover my weakest subjects from USMLE Step 1: Biochemistry, Microbiology and Pharmacology. I recommend the following tools to turn your greatest weakness into your greatest strength:

Microbiology

Clinical Microbiology Made Ridiculously Simple

Lange Microbiology and Infectious Diseases Flash Cards

Pharmacology

Clinical Pharmacology Made Ridiculously Simple

Lange Pharmacology Flash Cards

Biochemistry

Clinical Physiology Made Ridiculously Simple

Lange Biochemistry and Genetics Flash Cards

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!

Introduction to LaTeX!

No, not the rubbery plasticy stuff

LaTeX (pronounced “lay-tech”) is a free document-formatting system commonly used in STEM fields. This post is going to explain why it is really useful and where you can start!

So if you’re a STEM student, you’ve probably had to write a whole lot of lab reports and know how annoying it is to either figure out Word’s equation editor or screenshot a picture of whatever equation you’re trying to include in your report. Not to mention how awful Word is at formatting pictures, holding them in place and keeping things consistent. LaTeX solves most of those problems for you.

It works with some simple commands and packages that allow you to create journal-style articles, lab reports, and all sorts of other document types. You can include all sorts of mathematical and scientific symbols and equations and LaTeX formats them correctly for you. It might seem daunting at first, but most of the commands are very intuitive and you have a lot of easy customisation and consistent formatting. It can even do referencing for you. It has a lot of other cool things like generating a table of contents, automatically numbering your tables and figures, that contribute to producing a professional-looking scientific document.

All in all, the learning curve is very shallow, and the skill payoff is worth the small time investment it takes to learn. LaTeX typesetting is a very valuable skill to have in STEM.

Where to start:

There are dozens of downloadable LaTeX text editors, but I prefer to use an online one called Overleaf. It has several templates available for you to start from, provides shareable links, renders your document as you work, and, because it’s online, you can upload all your files to the server and work from anywhere.

I found the first chapter of this guice very helpful when I began using LaTeX  [x].

Some random tips I picked up so far:

1) Most problems/errors are easy to solve with a quick google search. Because LaTeX is so widely used, there are a LOT of stack exchange solutions to small problems. 

2) Manually creating LaTeX tables is a nightmare. It’s usually easiest to make them first in Excel, then copy-and-paste into an online LaTeX table generator.

3) Lots of journal articles have a pre-formatted bibtex citation linked somewhere. Using that citation works really well.

4) I like to open a text file, copy-and-paste all my bibtex formatted citations into it and convert it into a .bib file by renaming.

Some other useful links:

~LaTeX table generator [x]

~LaTeX reference generator [x]

~Find the LaTeX command for any symbol that you draw [x]

~List of mathematical symbols for LaTeX [x]

~LaTeX Stack Exchange [x]

I hope you find this helpful! If you have any questions, don’t hesitate to send me an ask or a message. Check out my study instagram if you’re keen on seeing some of my studyspo. Happy studying!

xx Munira

how i use google drive for university - pt 1: digital notetaking  by kkaitstudies

idk about you but i’ve tested a bunch of note taking methods. in my last few years of university, i was indeed lazy and rarely referred back to the professor’s slides in the course shell. i opted to read off the slides in lecture and take notes. while MS OneNote is great, i found myself enjoying Google Drive much more. so here is a quick overview of how i take notes using Google Docs. 

folders are your friends

make separate folders for each of your courses. google drive even gives you the option to change the colours of the folders. in these folders, add any relevant coursework such as the syllabi, readings, and your notes document.

use one doc for notes per course

once you receive the syllabi, take some time to take note of required readings, and assignment deadlines. i have created a free template you can save to your own google drive that you can access here. fill out:

- course code & name - prof’s name, office hours, and email - date(s) for each week of class - weekly readings (tip: if you have online readings, you can link them in the doc!) - & open the document outline (view > show document outline)

you also don’t have to use all these features. T B H, i didn’t do weekly readings. a lot. oops. BUT i did always pay attention in lecture. i simply deleted the “reading notes” header every week i didn’t bother to read.

make use of early access to lecture slides, headers, etc. 

some profs (bless their souls) post the slides sometime before the lecture. if you have the time, copy the lecture slides into your notes. and if they don’t…type real quick to get all the info as it’s happening (or go back to slides online after lecture to see what you missed out on). i separate lecture topics with headers, with the bullet points underneath (see above). if there is anything that the prof says during class that isn’t in the lecture slides, i will change the colour of the text to a different colour. any important concepts or testable material are highlighted.

…and that’s how i take notes! everyone is different. not all note-taking methods work for everyone. this is what worked for me in my last 2 years of uni. hopefully a similar structure works for some of y’all! also, let me know what you think and @ me if you end up using my template. have a great semester!

coming soon: [ part 2: grade tracker | part 3: gmail and gcal ]