Algorithmic Thinking (Part 1)

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Below are the top discussions from Reddit that mention this online Coursera course from Rice University.

Experienced Computer Scientists analyze and solve computational problems at a level of abstraction that is beyond that of any particular programming language.

Graph Theory Algorithms Python Programming Graph Algorithms

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Taught by
Luay Nakhleh
Associate Professor
and 2 more instructors

Offered by
Rice University

Reddit Posts and Comments

1 posts • 30 mentions • top 7 shown below

r/argentina • comment
6 points • santicarta

>Si quiero empezar a aprender lenguajes de programación, por donde empiezo?

Si no sabes nada de nada de programación, podes empezar acá

>Python?

La curva de aprendisaje es bastante piola, y esta bueno, por ahí si queres algo que se pueda "ver" onda con ventanitas y demás no es lo mejor (en mi opinión)

>Que diferencia hay entre Java, aplicación.net, full stack developer,? Que hace cada uno?

Java y .net son lenguajes de programación. La diferencia entre ambos es a nivel tecnológico, si no sabes de ninguno de los 2 al principio te va a dar lo mismo.

Full stack developer: es un programador que hace el Front End (lo que vez) y Back End, "lo que pasa una vez que apretas en boton comprar en el carrito"

r/learnpython • post
30 points • Lugersmith
Started programming, is this a good plan?

Before studying things, I like to order things out long term on how I am planing on studying and I want to you guys to see my thought process:

First thing, is finishing these two courses: https://www.coursera.org/learn/python then https://www.coursera.org/learn/interactive-python-1. And then read Python Crash Course, and after it, I thought of reading Automate the boring stuff with python.

I heard the MIT course could be hard on people with little experience, so I though these last few would prepare me for: https://www.edx.org/course/introduction-computer-science-mitx-6-00-1x-11,

Now, the basics out the way, I heard Learning Python is a long book, that will really make a strong foundation.

To continue, I'd enter https://www.coursera.org/learn/algorithmic-thinking-1#ratings. Now I've read that the Python Cookbook is a book full of amazing things, so I put this after the course, cause I didn't know where else to do so.

And to top it all off: https://university.mongodb.com/courses/M101P/about . I heard this is important, and worth learning.

Am I overdoing it? Is the order correct? I really appreciate any comment, personal experiences, and so on.

r/MSCSO • post
3 points • Slothfase
Recommended online courses from MSCSO

Hey all. I posted on the inaugural admissions thread that I was admitted without a CS undergrad and that I had taken MOOCs recommended by MSCSO. Early on in my application I had sent the admissions office an email and received a list of courses that they were considering in order to offer prospective students recommendations on how to prepare.

As per a few peoples request, here is that list:

> CS 312 - Intro to Programming > > 1) Programming Foundations with JavaScript, HTML and CSS, Coursera, Duke University, 4 weeks. > https://www.coursera.org/learn/duke-programming-web > > 2) Introduction to Java Programming, edX, Universidad Carlos de Madrid, 5 weeks. > https://www.edx.org/course/introduction-to-java-programming-starting-to-code-with-java > > 3) Learn to Program in Java, edX, Microsoft Professional Certificate Program, 4 weeks. > https://www.edx.org/course/learn-to-program-in-java-1 > > 4) Intro to Java Programming - Part 1, edX, Hong Kong University of Science and Technology, 5 weeks. > https://www.edx.org/course/introduction-java-programming-part-1-hkustx-comp102-1x-9 > > 5) Intro to Java Programming - Part 2, edX, Hong Kong University of Science and Technology, 5 weeks. (could combine these two courses) > https://www.edx.org/course/introduction-java-programming-part-2-hkustx-comp102-2x-9 > > 6) AP Computer Science A: Java Programming Classes and Objects, edX, Purdue Univ., 6 weeks. > https://www.edx.org/course/ap-computer-science-a-java-programming-classes-and-objects > > CS 314 - Data Structures > > 1) Foundations of Data Structures, edX, IIT Bombay, 6 weeks > https://www.edx.org/course/foundations-of-data-structures > > 2) Data Structures and Software Design, edX, University of Penn, 8-10 weeks. > https://www.edx.org/course/data-structures-software-design-pennx-sd2x > > 3) Data Structures Fundamentals, edX, UC San Diego, 6 weeks. > https://www.edx.org/course/data-structures-fundamentals-uc-san-diegox-algs201x > > 4) Data Structures and Algorithms, Coursera, UC San Diego, 6 weeks. > https://www.coursera.org/specializations/data-structures-algorithms > > CS 311 - Discrete Math > > 1) Introduction to Discrete Mathematics for CS Specialization, Coursera, UC San Diego, 3 months > https://www.coursera.org/specializations/discrete-mathematics > > 2) Discrete Mathematics, Coursera, Shanghai Jiao Tong University, 11 weeks > https://www.coursera.org/learn/discrete-mathematics

> CS 331 Algorithms and Complexity > > 1) Advanced Algorithms and Complexity, Coursera, UC San Diego, 4 weeks > https://www.coursera.org/learn/advanced-algorithms-and-complexity > > 2) Algorithmic Thinking (Part 1), Courersa, Rice University, 4 weeks > https://www.coursera.org/learn/algorithmic-thinking-1 > > 3) Algorithmic Thinking (Part 2), Coursera, Rice University, 4 weeks > https://www.coursera.org/learn/algorithmic-thinking-1

4) Algorithms Specialization (4 parts), Coursera, Stanford, 4 months https://www.coursera.org/specializations/algorithms

> CS 429 Computer Architecture > > 1) Computation Structures 2: Computer Architecture, edX, MIT, 10 weeks > https://www.edx.org/course/computation-structures-2-computer-mitx-6-004-2x > > 2) Computer Architecture, Coursera, Princeton, 4 weeks > https://www.coursera.org/learn/comparch > > > CS 439 Computer Systems > > 1) Build a modern computer from First Principles: From Nand to tetris (Project-Centered Course) > https://www.coursera.org/learn/build-a-computer

I chose one class from each topic (minus the Discrete Math, given my undergrad was Mathematics) and included the certificates in my application to both MSCSO and OMSCS.

I did end up picking OMSCS, but I hope to see the MSCSO program thrive and I wish all applicants the best of luck!

r/MSCSO • comment
1 points • Epines1911

CS 312 - Intro to Programming 1) Programming Foundations with JavaScript, HTML and CSS, Coursera, Duke University, 4 weeks. https://www.coursera.org/learn/duke-programming-web 2) Introduction to Java Programming, edX, Universidad Carlos de Madrid, 5 weeks. https://www.edx.org/course/introduction-to-java-programming-starting-to-code-with-java 3) Learn to Program in Java, edX, Microsoft Professional Certificate Program, 4 weeks. https://www.edx.org/course/learn-to-program-in-java-1 4) Intro to Java Programming - Part 1, edX, Hong Kong University of Science and Technology, 5 weeks. https://www.edx.org/course/introduction-java-programming-part-1-hkustx-comp102-1x-9 5) Intro to Java Programming - Part 2, edX, Hong Kong University of Science and Technology, 5 weeks. (could combine these two courses) https://www.edx.org/course/introduction-java-programming-part-2-hkustx-comp102-2x-9 6) AP Computer Science A: Java Programming Classes and Objects, edX, Purdue Univ., 6 weeks. https://www.edx.org/course/ap-computer-science-a-java-programming-classes-and-objects

CS 314 - Data Structures 1) Foundations of Data Structures, edX, IIT Bombay, 6 weeks https://www.edx.org/course/foundations-of-data-structures 2) Data Structures and Software Design, edX, University of Penn, 8-10 weeks. https://www.edx.org/course/data-structures-software-design-pennx-sd2x 3) Data Structures Fundamentals, edX, UC San Diego, 6 weeks. https://www.edx.org/course/data-structures-fundamentals-uc-san-diegox-algs201x 4) Data Structures and Algorithms, Coursera, UC San Diego, 6 weeks. https://www.coursera.org/specializations/data-structures-algorithms

CS 311 - Discrete Math 1) Introduction to Discrete Mathematics for CS Specialization, Coursera, UC San Diego, 3 months https://www.coursera.org/specializations/discrete-mathematics 2) Discrete Mathematics, Coursera, Shanghai Jiao Tong University, 11 weeks https://www.coursera.org/learn/discrete-mathematics

CS 331 Algorithms and Complexity 1) Advanced Algorithms and Complexity, Coursera, UC San Diego, 4 weeks https://www.coursera.org/learn/advanced-algorithms-and-complexity 2) Algorithmic Thinking (Part 1), Courersa, Rice University, 4 weeks https://www.coursera.org/learn/algorithmic-thinking-1 3) Algorithmic Thinking (Part 2), Coursera, Rice University, 4 weeks https://www.coursera.org/learn/algorithmic-thinking-1 4) Algorithms Specialization (4 parts), Coursera, Stanford, 4 months https://www.coursera.org/specializations/algorithms

CS 429 Computer Architecture 1) Computation Structures 2: Computer Architecture, edX, MIT, 10 weeks https://www.edx.org/course/computation-structures-2-computer-mitx-6-004-2x 2) Computer Architecture, Coursera, Princeton, 4 weeks https://www.coursera.org/learn/comparch

CS 439 Computer Systems 1) Build a modern computer from First Principles: From Nand to tetris (Project-Centered Course) https://www.coursera.org/learn/build-a-computer

Kathryn sent that to me several months ago when I asked her similar questions☺

r/cscareerquestions • comment
1 points • 425trafficeng

This is the list UT-Austin sends out for preparing for their online masters.

CS 312 - Intro to Programming

  1. ⁠Programming Foundations with JavaScript, HTML and CSS, Coursera, Duke University, 4 weeks. https://www.coursera.org/learn/duke-programming-web
  2. ⁠Introduction to Java Programming, edX, Universidad Carlos de Madrid, 5 weeks. https://www.edx.org/course/introduction-to-java-programming-starting-to-code-with-java
  3. ⁠Learn to Program in Java, edX, Microsoft Professional Certificate Program, 4 weeks. https://www.edx.org/course/learn-to-program-in-java-1
  4. ⁠Intro to Java Programming - Part 1, edX, Hong Kong University of Science and Technology, 5 weeks. https://www.edx.org/course/introduction-java-programming-part-1-hkustx-comp102-1x-9
  5. ⁠Intro to Java Programming - Part 2, edX, Hong Kong University of Science and Technology, 5 weeks. (could combine these two courses) https://www.edx.org/course/introduction-java-programming-part-2-hkustx-comp102-2x-9
  6. ⁠AP Computer Science A: Java Programming Classes and Objects, edX, Purdue Univ., 6 weeks. https://www.edx.org/course/ap-computer-science-a-java-programming-classes-and-objects

CS 314 - Data Structures

  1. ⁠Foundations of Data Structures, edX, IIT Bombay, 6 weeks https://www.edx.org/course/foundations-of-data-structures
  2. ⁠Data Structures and Software Design, edX, University of Penn, 8-10 weeks. https://www.edx.org/course/data-structures-software-design-pennx-sd2x
  3. ⁠Data Structures Fundamentals, edX, UC San Diego, 6 weeks. https://www.edx.org/course/data-structures-fundamentals-uc-san-diegox-algs201x
  4. ⁠Data Structures and Algorithms, Coursera, UC San Diego, 6 weeks. https://www.coursera.org/specializations/data-structures-algorithms

CS 311 - Discrete Math

  1. ⁠Introduction to Discrete Mathematics for CS Specialization, Coursera, UC San Diego, 3 months https://www.coursera.org/specializations/discrete-mathematics
  2. ⁠Discrete Mathematics, Coursera, Shanghai Jiao Tong University, 11 weeks https://www.coursera.org/learn/discrete-mathematics

CS 331 Algorithms and Complexity

  1. ⁠Advanced Algorithms and Complexity, Coursera, UC San Diego, 4 weeks https://www.coursera.org/learn/advanced-algorithms-and-complexity
  2. ⁠Algorithmic Thinking (Part 1), Courersa, Rice University, 4 weeks https://www.coursera.org/learn/algorithmic-thinking-1
  3. ⁠Algorithmic Thinking (Part 2), Coursera, Rice University, 4 weeks https://www.coursera.org/learn/algorithmic-thinking-1
  4. ⁠Algorithms Specialization (4 parts), Coursera, Stanford, 4 months https://www.coursera.org/specializations/algorithms

CS 429 Computer Architecture

  1. ⁠Computation Structures 2: Computer Architecture, edX, MIT, 10 weeks https://www.edx.org/course/computation-structures-2-computer-mitx-6-004-2x
  2. ⁠Computer Architecture, Coursera, Princeton, 4 weeks https://www.coursera.org/learn/comparch

CS 439 Computer Systems

  1. ⁠Build a modern computer from First Principles: From Nand to tetris (Project-Centered Course) https://www.coursera.org/learn/build-a-computer

r/MSCSO • comment
1 points • Tender_Figs

Awesome. I did notice they had this list on this reddit (which they confirmed), but I'm unsure if it's one from each or the whole list..

CS 312 - Intro to Programming 1) Programming Foundations with JavaScript, HTML and CSS, Coursera, Duke University, 4 weeks. https://www.coursera.org/learn/duke-programming-web 2) Introduction to Java Programming, edX, Universidad Carlos de Madrid, 5 weeks. https://www.edx.org/course/introduction-to-java-programming-starting-to-code-with-java 3) Learn to Program in Java, edX, Microsoft Professional Certificate Program, 4 weeks. https://www.edx.org/course/learn-to-program-in-java-1 4) Intro to Java Programming - Part 1, edX, Hong Kong University of Science and Technology, 5 weeks. https://www.edx.org/course/introduction-java-programming-part-1-hkustx-comp102-1x-9 5) Intro to Java Programming - Part 2, edX, Hong Kong University of Science and Technology, 5 weeks. (could combine these two courses) https://www.edx.org/course/introduction-java-programming-part-2-hkustx-comp102-2x-9 6) AP Computer Science A: Java Programming Classes and Objects, edX, Purdue Univ., 6 weeks. https://www.edx.org/course/ap-computer-science-a-java-programming-classes-and-objects

CS 314 - Data Structures 1) Foundations of Data Structures, edX, IIT Bombay, 6 weeks https://www.edx.org/course/foundations-of-data-structures 2) Data Structures and Software Design, edX, University of Penn, 8-10 weeks. https://www.edx.org/course/data-structures-software-design-pennx-sd2x 3) Data Structures Fundamentals, edX, UC San Diego, 6 weeks. https://www.edx.org/course/data-structures-fundamentals-uc-san-diegox-algs201x 4) Data Structures and Algorithms, Coursera, UC San Diego, 6 weeks. https://www.coursera.org/specializations/data-structures-algorithms

CS 311 - Discrete Math 1) Introduction to Discrete Mathematics for CS Specialization, Coursera, UC San Diego, 3 months https://www.coursera.org/specializations/discrete-mathematics 2) Discrete Mathematics, Coursera, Shanghai Jiao Tong University, 11 weeks https://www.coursera.org/learn/discrete-mathematics

CS 331 Algorithms and Complexity 1) Advanced Algorithms and Complexity, Coursera, UC San Diego, 4 weeks https://www.coursera.org/learn/advanced-algorithms-and-complexity 2) Algorithmic Thinking (Part 1), Courersa, Rice University, 4 weeks https://www.coursera.org/learn/algorithmic-thinking-1 3) Algorithmic Thinking (Part 2), Coursera, Rice University, 4 weeks https://www.coursera.org/learn/algorithmic-thinking-1 4) Algorithms Specialization (4 parts), Coursera, Stanford, 4 months https://www.coursera.org/specializations/algorithms

CS 429 Computer Architecture 1) Computation Structures 2: Computer Architecture, edX, MIT, 10 weeks https://www.edx.org/course/computation-structures-2-computer-mitx-6-004-2x 2) Computer Architecture, Coursera, Princeton, 4 weeks https://www.coursera.org/learn/comparch

CS 439 Computer Systems 1) Build a modern computer from First Principles: From Nand to tetris (Project-Centered Course) https://www.coursera.org/learn/build-a-computer