(Part 3) Top products from r/rutgers

> I just use 3 subjects notebook from student center convenience store

Now I'm interested :D

I've heared the 3 subject ones are 150 pages, does that mean 150 pages per subject or 150 pages total? If it were the latter I wouldn't buy, but if its the former then I'm interested.

> Chemistry doesn't really require notes imo, so I wouldn't bother getting a notebook for that.

Could you elaborate? I got all of Tav's notes from my friend since I'll be taking it off season. I'm not sure who my instructor will be, but I've always had a policy of taking down notes in some fashion.


> You can easily prevent this by using a pen that doesn't bleed as much. Using a pen also makes sure your notes stay semi-permanent.


My problem with pens is I don't feel like I'm able to write as well with them as I am with a pencil, I use this pencil for reference I'm extremely pleased with the quality and performance of it <3 Are there any pens that can match it? I generally feel my notes become sloppier with a pen, so that's why I'm hesitant to use a pen for notes, I've done it before, its not very comprehensible.


> It's much easier to organize your stuff in one notebook.

I would like to agree but I'm saving up a lot of them for the MCAT, and I don't want to carry around old baggage from classes which won't be on the MCAT.



Thanks for taking the time for responding! Have a happy new year!

I had an internship with Amazon during my Sophomore to Junior summer. I also received offers from Microsoft and Google to intern this upcoming summer (Junior to Senior), but instead took an offer from Fog Creek Software. I have friends that have interned or are full time at Microsoft, Google, and Amazon, all from Rutgers University.

My advice is to anyone looking to get one of these positions is:

1. Start early, companies have only so many positions, and once they are taken, they stop looking. Generally this means you need to apply by November.
   
   
2. Data Structures and Algorithms, know them inside and out, know their complexity, know how to implement them, know their tradeoffs, and know when to use them. A great book for someone who has never done any data structure stuff is Data Structures and Algorithms in Java. I took CS111 and read this book and was able to get through the Amazon interview.
   
   
3. Read and do the exercises in Cracking the Coding Interview. Also use the author's resume template for making your resume.
   
   
4. Interview every chance you get. Seriously, I interviewed at about 15 places before I interviewed with Amazon, by the time that I got to the Amazon interview, I was fairly comfortable with the process. I was still nervous about the interview, but I knew generally what to expect and didn't get hung up on their curveball questions.
   
   
5. Pick a single club, whether it be IEEE, USACS, RUMad, etc. and be deeply involved with it. You can be a member of more than one, but you should be really involved with one.
   
   
6. Pick a language and know it. You aren't going to lose points because you don't know Python, or Ruby, or whatever else is the hot language this month. Java, C, C++, you should know one of these languages, and preferably two, C and then either Java or C++.
   
   
7. And finally, the only way to really know a programming language is to use it, so program, program, program, and then program some more. While you're doing all this programming, you should take a few minutes out of your day to learn about source control (git or git, there are no other options :) ). Then put the cool stuff you make on github or some other source control website.
   
   This may seem like a lot because well frankly it is. But if you actually enjoy programming and computer science, than this is pretty straight forward and easy. And finally, don't get discouraged. Just because you didn't make it into one of these companies the first time you apply, doesn't mean you'll never make it. Some people don't interview well(it is its own skill, hence #4), some people just can't build out a good resume(seriously use the template that I provided and read cracking the coding interview from front to back), and other people just aren't ready(you really need to program a lot). But that doesn't mean that you will never make it with them, just give it another year, identify your weakness, and work on it.

Sorry for the delayed response! The professor that helped me the most in terms of career was Dr. Kristen Syrett. I was a research assistant in her laboratory. All of the profs are great. Dr. Ken Safir is another person who helped me. There are a few others, but a few have moved to different universities. If you take profs multiple times for different courses and get yourself involved in any of their research, they really get to know you and will be great resources. The department is really pretty small, so it sorta becomes a nice tight-nit linguistics family.

My current career is as a school administrator where I supervise bilingual programs and design ESL curriculum. I do love what I do. I chose an applied linguistics route, so I use a lot of what I learned studying language acquisition in curriculum decisions. Other linguistics grads from my cohort either work for companies like Google as computational linguists, or are doing post-doctoral work related to the field.

As for how I got interested in linguistics, when I was in high school, my school's library had a "graphic novel" type book called Introducing Linguistics by R.L. Trask. It was a short read, but it made me think about how much I don't know about language and how it works and I decided to take it as my college major. Coming into my education-related job was a development that came later on when studying language acquisition and language pedagogical theory.

You can go on Khan Academy and start chugging through their calculus material, but I'll give you a different option if you've taken some calculus in high school: Reading When Least is Best. For some strange reason that I can't remember, I picked this up after taking Calc 1 and really enjoyed the historical context behind Optimization and why Calculus was an important tool in it. Interestingly enough, the stories behind some of the techniques you'll learn in calculus are fascinating, and having some intuition behind the problems usually tends to help students instead of just blindly memorizing common derivatives and integrals.

Honestly you're in a great place with that experience, so the thing to do now is just apply (online!). Apply to the big companies like Google, Amazon, Microsoft (usually a traditional resume + form) and to startups in NYC and SF (often more informal).

You'll also need to learn how to do technical interviews, which comes down to have tight grasp of data structures and thinking on your feet. I'd recommend this book to get started.

I believe those were the books used during the 2016-2017 school year (thats when I took discrete II)

From what I understand now, the newest renditions of the course use

Discrete Mathematics and Its Applications by K. Rosen

and

A First Course in Probability by Ross

But it'll depend entirely on who it is that's offering the course during the summer and what they include on their syllabus so I'd wait until seeing what they say to purchase either of the books.

The first book you listed (Mathematics for Computer science) is available for free for anyone to use here

The second is available for free on the Rutgers libraries website so I'd advise you not waste your money buying either of those two.

Hope this helps

I'm on board with this. It wasn't until i got diagnosed with type one herpes that i realized pretty much everything i thought i knew about it was wrong. There is a really amazing graphic novel i have called Monsters about the subject that you should check out. PM me i have a copy, maybe we can talk.

if you are interested in getting a calculus textbook that is easy to read I suggest buying an out of date Larson early transcendental book. Will look for it later. The book really helped me and at the time it cost me about 20 bucks
edit: found it https://www.amazon.com/Calculus-Single-Variable-Transcendental-Functions/dp/0618606254/ref=sr_1_21?ie=UTF8&qid=1481566205&sr=8-21&keywords=larson+calculus+textbook

My best additional storage at Rutgers were these things: https://www.amazon.com/Whitmor-Storage-Cubes-Stackable-Interlocking/dp/B000LRBSFI

I had some in my closet and under my bed. You can configure them in anyway you need.

You can also get cube storage bins in any color for different kinds of storing.

You won't have room for anything extra other than perhaps a fan (definitely bring one) and a lamp (again bring one). Get something like this for your closet. Did you have anything specific you wanted to bring?

Find out the textbooks that are used for the major stat classes. This is the book used for Regression Methods:

https://www.amazon.com/Introduction-Regression-Analysis-Douglas-Montgomery/dp/0470542810/ref=sr_1_1?ie=UTF8&qid=1506402483&sr=8-1&keywords=linear+regression+analysis

Preview it. Now if that looks pretty intimidating to you, ask yourself if it is something you think you can understand. What is in that textbook is expected for you to understand even if the work you do in class is watered down a lot.

To truly understand that stuff you would have to be very skilled in mathematical reasoning and applications.

I used a book by Larson and Falvo called Elementary Linear Algebra. So far the book was really good at explaining every topic.

Im usually really good at finding text books, but no luck. However its going for pretty dirt cheap, no reason not to buy it.

https://www.amazon.com/gp/offer-listing/0534417957/ref=dp_olp_all_mbc?ie=UTF8&condition=all

https://www.valorebooks.com/textbooks/understanding-intermediate-algebra-a-course-for-college-students-6th-edition/9780534417956?utm_source=Froogle&utm_medium=referral&utm_campaign=Froogle&date=09/09/16

Success isn't determined by the campus you go to... Do personal coding projects outside of classwork and maintain them on github, learn CTCI from front to back, work your ass off to land some internships, go to career fairs at both Newark and NB campuses and be personable, don't rely on career services alone, apply to jobs outside of CareerKnight/RaiderNet. Also don't forget to keep your GPA up (At least a 3.3!! No excuses!)... dedicate real time and attention to your classwork.

FYI: Some of the undergrad Comp Sci curriculum is taught at NJIT. You'll register through the Rutgers-Newark registrar, but have to walk across the street to NJIT to get to class (or take subway one stop for some reason, but I'd just walk it...).

Also here's some resources about the Newark campus which might help.

https://www.amazon.com/Orgocards-Chemistry-Steven-Q-Wang/dp/0764175033/

https://www.amazon.com/Organic-Chemistry-SparkNotes-Study-Cards/dp/1411470052/

I have the Barron's ones, but the SparkNotes ones seem to be much cheaper...

physics text book

https://www.amazon.com/Genetics-Conceptual-Approach-Benjamin-Pierce/dp/146410946X

Thats the book, but it's not that useful. The only time when you might need it is for the practice questions from the book, but he puts thorough answers in the powerpoint (so you don't even need the questions)

This is the textbook. You doing absolutely need it, but if you want to do well just read the chapters that the professor stresses you to read. You also need it to write the papers.

Don't know the difference, Everyone I've seen has early transcendentals. Your book should look like this, http://www.amazon.com/Calculus-Second-Edition-Jon-Rogawski/dp/142923184X

(I vaguely recall someone saying that the problems in "Calculus" aren't numbered the same way, not exactly sure though. This would be a big inconvenience when doing homework.)