Computer Architecture

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

In this course, you will learn to design the computer architecture of complex modern microprocessors.

Next cohort starts July 27. Accessible for free. Completion certificates are offered.

Affiliate disclosure: Please use the blue and green buttons to visit Coursera if you plan on enrolling in a course. Commissions Reddsera receives from using these links will keep this site online and ad-free. Reddsera will not receive commissions if you only use course links found in the below Reddit discussions.

Taught by
David Wentzlaff
Associate Professor

Offered by
Princeton University

Reddit Posts and Comments

3 posts • 56 mentions • top 23 shown below

r/learnprogramming • post
807 points • dhawal
Here's a list of 47 free online programming/CS courses (MOOCs) with feedback(i.e. exams/homeworks/assignments) that you can start this month (September 2013)

This is not the complete list of MOOCs starting in September 2013, just the ones relevant to this community. The complete list of courses starting in September 2013 can be found over at Class Central blog (131 total courses). I maintain a much bigger list of these courses over at Class Central

BEGINNER (8)

Course Name|Start Date|Length|Initiative :--|:--:|:--:|:--: Introduction to Internetworking with TCP/IP|Self Paced|6 weeks|openHPI DCO042 - Python For Informatics|Self Paced|NA|Others User Experience for the Web|Self Paced|NA|Open2Study Intro to Programming in Java|Self Paced|10 weeks|Udacity Introduction to Databases|Self Paced|NA|Coursera Computer Science 101|Self Paced|NA|Coursera CS 101: Building a Search Engine|Self Paced|7 weeks|Udacity Program Arcade Games - Learn Computer Science|Self Paced|NA|Others

INTERMEDIATE (32)

Course Name|Start Date|Length|Initiative :--|:--:|:--:|:--: Metadata: Organizing and Discovering Information|Sep 2nd|8 weeks|Coursera Algorithms: Design and Analysis, Part 2|Sep 2nd|6 weeks|Coursera Introduction to Recommender Systems|Sep 3rd|NA|Coursera Introduction to Systematic Program Design - Part 1|Sep 4th|NA|Coursera Analysis of Algorithms|Sep 6th|NA|Coursera Data Mining with Weka|Sep 9th|NA|Others Concepts in Game Development|Sep 9th|4 weeks|Open2Study Cryptography I|Sep 9th|NA|Coursera M101P: MongoDB for Developers|Sep 9th|NA|10gen Networks: Friends, Money, and Bytes|Sep 16th|NA|Coursera Functional Programming Principles in Scala|Sep 16th|NA|Coursera L'art des structures 1 : Câbles et arcs|Sep 16th|NA|Coursera Beginning Game Programming with C#|Sep 16th|NA|Coursera Initiation à la programmation (en Java)|Sep 23rd|7 weeks|Coursera Initiation à la programmation (en C++)|Sep 23rd|7 weeks|Coursera Computer Architecture|Sep 23rd|11 weeks|Coursera Computing for Data Analysis|Sep 23rd|NA|Coursera General Game Playing|Sep 30th|8 weeks|Coursera M102: MongoDB for DBAs|Sep 30th|NA|10gen Learning from Data (Introductory Machine Learning course)|Self Paced|NA|Others Compilers|Self Paced|NA|Coursera CS258 - Software Testing - How to Make Software Fail|Self Paced|7 weeks|Udacity CS259 - Software Debugging - Automating The Boring Tasks|Self Paced|7 weeks|Udacity CS212 - The Design of Computer Programs|Self Paced|7 weeks|Udacity CS253 - Web Application Engineering - Building a Blog|Self Paced|7 weeks|Udacity CS262 - Programming Languages - Building a Browser|Self Paced|7 weeks|Udacity CS215 - Algorithms - Crunching Social Networks|Self Paced|7 weeks|Udacity CS313 - Intro to Theoretical Computer Science - Dealing with Challenging Problems|Self Paced|7 weeks|Udacity Introduction to Internetworking with TCP/IP|Self Paced|6 weeks|openHPI CS271 - Introduction to Artificial Intelligence|Self Paced|10 weeks|Udacity CS255 - HTML5 Game Development - Building High Performance Web Applications|Self Paced|7 weeks|Udacity CS291 - Interactive Rendering - Introduction to 3D Computer Graphics|Self Paced|7 weeks|Udacity

ADVANCED (7)

Course Name|Start Date|Length|Initiative :--|:--:|:--:|:-- Scientific Computing|Sep 25th|NA|Coursera Linear and Integer Programming|Sep 2nd|NA|Coursera In-Memory Data Management|Self Paced|6 weeks|openHPI CS 373: Programming a Robotic Car|Self Paced|7 weeks|Udacity CS387 - Applied Cryptography|Self Paced|7 weeks|Udacity CS344 - Introduction to Parallel Programming - Using CUDA to Harness the Power of GPUs|Self Paced|7 weeks|Udacity CS348 - Functional Hardware Verification - How to Verify Chips and Eliminate Bugs|Self Paced|7 weeks|Udacity

r/learnprogramming • post
3319 points • ______DEADPOOL______
Here's a SANITIZED list of 530+ free online programming/CS courses (MOOCs) with feedback(i.e. exams/homeworks/assignments) that you can start this month (December 2016)

Preamble:

So, a submission on this sub to a huge list of MOOC courses caught my attention today as I've been trying to learn programming myself. So I look into the comments first to see what courses people were taking, when a comment caught my attention that says: "This is a great resouces but beware, OP ran some of the links through some pay site so that he profits out of traffic and hid this using bit.ly links...."

So I decided to investigate further, and sure enough. uBlock Origin blocked the first link that I clicked. It turns out, pretty much every link to the course on the post is a bit.ly link hiding a reference link to a spam site linksynergy.com. The url itself has reference id and everything. Full link:

http://click.linksynergy.com/fs-bin/click?id=SAyYsTvLiGQ&u1=reddit_learnprog_dec&subid=&offerid=451430.1&type=10&tmpid=18061&RD_PARM1=https://www.coursera.org/learn/game-programming

I posted this in the comment and reported the post for spamming, thought nothing more of it, and move on. In my goofing off, I ended up installing NVIDIA CodeWorks, and the damn installer turned out to be a download manager for installer to a bunch of stuffs it needed to install. So, I let it run and while it downloads, I thought I'd fire up Overwatch and try to climb out of gold rank, when for some reason, I thought about the MOOC post again.

Hiding a reference link using bit.ly is not only spamming, but it's also unethical because bit.ly tracks where clicks come from and the whole practice preys on the innocent who just wanted to learn some programming stuffs.

So I decided to go through the links and sanitized the bit.ly and removed all the spam links and replace it with direct links to each of the course.

Over the course of cleaning up the links, I found that OP feed all their links through two spam sites that ublock origin blocked:

The first one is the linksynergy site as I've mentioned before.

http://click.linksynergy.com/fs-bin/click?id=SAyYsTvLiGQ&u1=reddit_learnprog_dec&subid=&offerid=451430.1&type=10&tmpid=18061&RD_PARM1=https://www.coursera.org/learn/game-programming

The second one is through awin1.com

http://www.awin1.com/awclick.php?gid=295463&mid=6798&awinaffid=301045&linkid=599979&clickref=&p=https://www.edx.org/course/introduction-devops-transforming-linuxfoundationx-lfs161x

I hope this sort of shady spamming behavior is not tolerated in this sub, and doesn't happen again. But just in case another post comes up again next month, would someone be so kind as to make a bit.ly expander plugin for chrome or something to automate this cleanup without exposing the user's location, and clicking on the reference, etc. I didn't want to run this through python in case something bad happens and some dumb protocol got exposed or whatever.

Anyway, here's the full sanitized list. I've left the links bare so you can see this list has not been compromised. And if you'll excuse me, I'm going to run spybot on my system now.

Happy learning. GLHF.

BEGINNER25

Course Name|Start Date|Length in weeks|Rating :--|:--:|:--:|:--:|:--: Web Applications for Everybody https://www.wa4e.com via Others|Self paced|NA|NA Python for Everybody https://www.py4e.com - Exploring Information via Others|Self paced|NA|NA NEW Swift for Beginners https://www.udacity.com/course/swift-for-beginners--ud1022 via Udacity|Self paced|NA|NA NEW Android for Beginners https://www.udacity.com/course/android-for-beginners--ud834 via Udacity|Self paced|NA|NA NEW Introduction to R https://www.datacamp.com/courses/free-introduction-to-r via Datacamp|Self paced|NA|NA NEW Intro to Python for Data Science https://www.datacamp.com/courses/intro-to-python-for-data-science via Datacamp|Self paced|NA|NA Introduction to the Internet of Things and Embedded Systems https://www.coursera.org/learn/iot via Coursera|5th Dec|4|3.7★ CODAPPS: Coding mobile apps for entrepreneurs https://www.coursera.org/learn/codapps via Coursera|5th Dec|8|5★ How To Create a Website in a Weekend! Project-Centered Course https://www.coursera.org/learn/how-to-create-a-website via Coursera|5th Dec|3|5★ Ruby on Rails: An Introduction https://www.coursera.org/learn/ruby-on-rails-intro via Coursera|5th Dec|3|3.1★ Build a Modern Computer from First Principles: From Nand to Tetris Project-Centered Course https://www.coursera.org/learn/build-a-computer via Coursera|5th Dec|6|4.8★ HTML, CSS and JavaScript https://www.coursera.org/learn/html-css-javascript via Coursera|5th Dec|3|4.1★ Introduction to HTML5 https://www.coursera.org/learn/html via Coursera|5th Dec|3|4.1★ Code Yourself! An Introduction to Programming https://www.coursera.org/learn/intro-programming via Coursera|5th Dec|5|4.3★ Introduction to CSS3 https://www.coursera.org/learn/introcss via Coursera|5th Dec|4|4.6★ HTML, CSS, and Javascript for Web Developers https://www.coursera.org/learn/html-css-javascript-for-web-developers via Coursera|5th Dec|5|5★ Python Programming: A Concise Introduction https://www.coursera.org/learn/python-programming-introduction via Coursera|5th Dec|NA|NA Usable Security https://www.coursera.org/learn/usable-security via Coursera|12th Dec|7|2.9★ An Introduction to Interactive Programming in Python Part 2 https://www.coursera.org/learn/interactive-python-2 via Coursera|12th Dec|4|4.8★ Programming Foundations with JavaScript, HTML and CSS https://www.coursera.org/learn/duke-programming-webvia Coursera|12th Dec|4|3.8★ Introduction to Web Development https://www.coursera.org/learn/web-development via Coursera|12th Dec|NA|NA An Introduction to Interactive Programming in Python Part 1 https://www.coursera.org/learn/interactive-python-1 via Coursera|12th Dec|5|4.9★ Creative Programming for Digital Media & Mobile Apps https://www.coursera.org/learn/digitalmedia via Coursera|19th Dec|NA|4★ Learn to Program: The Fundamentals https://www.coursera.org/learn/learn-to-programvia Coursera|19th Dec|10|4.8★ Internet History, Technology, and Security https://www.coursera.org/learn/internet-history via Coursera|26th Dec|10|4.6★

INTERMEDIATE156

Course Name|Start Date|Length in weeks|Rating :--|:--:|:--:|:--:|:--: NEW Minecraft, Coding and Teaching https://www.edx.org/course/minecraft-coding-teaching-uc-san-diegox-ltm1xvia edX|Self paced|NA|NA VR Software Development https://www.udacity.com/course/vr-software-development--ud1014 via Udacity|Self paced|NA|NA NEW Swift for Developers https://www.udacity.com/course/swift-for-developers--ud1025 via Udacity|Self paced|NA|NA NEW Introduction to DevOps: Transforming and Improving Operations https://www.edx.org/course/introduction-devops-transforming-linuxfoundationx-lfs161x via edX|Self paced|NA|NA Algorithms, Part II https://www.coursera.org/learn/java-data-structures-algorithms-2 via Coursera|1st Dec|6|4.8★ Software Defined Networking https://www.coursera.org/learn/sdn via Coursera|1st Dec|NA|4.2★ NEW Probabilistic Graphical Models 3: Learning https://www.coursera.org/learn/probabilistic-graphical-models-3-learning via Coursera|1st Dec|NA|NA Single Page Web Applications with AngularJS https://www.coursera.org/learn/single-page-web-apps-with-angularjsvia Coursera|5th Dec|NA|NA Approximation Algorithms Part I https://www.coursera.org/learn/approximation-algorithms-part-1 via Coursera|5th Dec|5|5★ Managing Big Data with MySQL https://www.coursera.org/learn/analytics-mysql via Coursera|5th Dec|5|3.8★ Advanced Algorithms and Complexity https://www.coursera.org/learn/advanced-algorithms-and-complexity via Coursera|5th Dec|NA|NA Ruby on Rails Web Services and Integration with MongoDB https://www.coursera.org/learn/ruby-on-rails-web-services-mongodb via Coursera|5th Dec|4|4.8★ Advanced Styling with Responsive Design https://www.coursera.org/learn/responsivedesignvia Coursera|5th Dec|4|4.7★ Foundations of Objective-C App Development https://www.coursera.org/learn/objective-cvia Coursera|5th Dec|4|3★ Cloud Computing Concepts, Part 1 https://www.coursera.org/learn/cloud-computingvia Coursera|5th Dec|5|2.6★ Biology Meets Programming: Bioinformatics for Beginners https://www.coursera.org/learn/bioinformatics via Coursera|5th Dec|4|5★ The Arduino Platform and C Programming https://www.coursera.org/learn/arduino-platformvia Coursera|5th Dec|4|3.3★ App Design and Development for iOS https://www.coursera.org/learn/ios-app-design-development via Coursera|5th Dec|5|3★ Data Visualization https://www.coursera.org/learn/datavisualization via Coursera|5th Dec|4|3.2★ Rails with Active Record and Action Pack https://www.coursera.org/learn/rails-with-active-record via Coursera|5th Dec|4|4★ Graph Search, Shortest Paths, and Data Structures https://www.coursera.org/learn/algorithms-graphs-data-structures via Coursera|5th Dec|NA|NA The Raspberry Pi Platform and Python Programming for the Raspberry Pi https://www.coursera.org/learn/raspberry-pi-platform via Coursera|5th Dec|4|3.5★ Introduction to Spreadsheets and Models https://www.coursera.org/learn/wharton-introduction-spreadsheets-models via Coursera|5th Dec|4|4.7★ Responsive Website Basics: Code with HTML, CSS, and JavaScript https://www.coursera.org/learn/website-coding via Coursera|5th Dec|4|3.9★ Framework for Data Collection and Analysis https://www.coursera.org/learn/data-collection-framework via Coursera|5th Dec|NA|3.5★ Functional Program Design in Scala https://www.coursera.org/learn/progfun2 via Coursera|5th Dec|NA|NA Software Processes and Agile Practices https://www.coursera.org/learn/software-processes-and-agile-practices via Coursera|5th Dec|4|4.3★ Introduction to Software Product Management https://www.coursera.org/learn/introduction-to-software-product-managementvia Coursera|5th Dec|2|4.2★ Client Needs and Software Requirements https://www.coursera.org/learn/client-needs-and-software-requirements via Coursera|5th Dec|4|4.3★ Agile Planning for Software Products https://www.coursera.org/learn/agile-planning-for-software-products via Coursera|5th Dec|4|3★ Reviews & Metrics for Software Improvements https://www.coursera.org/learn/reviews-and-metrics-for-software-improvements via Coursera|5th Dec|4|NA Getting Started: Agile Meets Design Thinking https://www.coursera.org/learn/getting-started-agilevia Coursera|5th Dec|5|5★ Big Data Modeling and Management Systems https://www.coursera.org/learn/big-data-management via Coursera|5th Dec|NA|NA Best Practices for iOS User Interface Design https://www.coursera.org/learn/ui via Coursera|5th Dec|4|5★ Interfacing with the Arduino http://bit.ly/2gXagqZ via Coursera|5th Dec|4|4★ Communicating Data Science Results https://www.coursera.org/learn/data-results via Coursera|5th Dec|3|1★ Java Programming: Principles of Software Design https://www.coursera.org/learn/java-programming-design-principles via Coursera|5th Dec|4|4.7★ Object Oriented Programming in Java https://www.coursera.org/learn/object-oriented-java via Coursera|5th Dec|6|4.8★ Документы и презентации в LaTeX Introduction to LaTeX https://www.coursera.org/learn/latex via Coursera|5th Dec|5|NA Cloud Networking https://www.coursera.org/learn/cloud-networking via Coursera|5th Dec|5|4.3★ Web Application Development with JavaScript and MongoDB https://www.coursera.org/learn/web-application-development via Coursera|5th Dec|4|4.2★ Interfacing with the Raspberry Pi https://www.coursera.org/learn/raspberry-pi-interface via Coursera|5th Dec|4|1★ Data Manipulation at Scale: Systems and Algorithms https://www.coursera.org/learn/data-manipulation via Coursera|5th Dec|4|2.5★ Algorithmic Toolbox https://www.coursera.org/learn/algorithmic-toolbox via Coursera|5th Dec|5|4.7★ Toward the Future of iOS Development with Swift https://www.coursera.org/learn/iosswift via Coursera|5th Dec|4|NA Data Structures https://www.coursera.org/learn/data-structures via Coursera|5th Dec|4|2★ Server-side Development with NodeJS https://www.coursera.org/learn/server-side-development via Coursera|5th Dec|4|5★ Front-End JavaScript Frameworks: AngularJS https://www.coursera.org/learn/angular-js via Coursera|5th Dec|4|3.8★ Text Retrieval and Search Engines https://www.coursera.org/learn/text-retrieval via Coursera|5th Dec|4|3.2★ Interactivity with JavaScript https://www.coursera.org/learn/javascript via Coursera|5th Dec|4|4.3★ Cybersecurity and the Internet of Things https://www.coursera.org/learn/iot-cyber-security via Coursera|5th Dec|NA|NA Front-End Web UI Frameworks and Tools https://www.coursera.org/learn/web-frameworks via Coursera|5th Dec|4|4.3★ Managing an Agile Team https://www.coursera.org/learn/agile-team-management via Coursera|5th Dec|NA|2★ R Programming https://www.coursera.org/learn/r-programming via Coursera|5th Dec|4|2.7★ The Data Scientist’s Toolbox https://www.coursera.org/learn/data-scientists-toolsvia Coursera|5th Dec|4|3.2★ Getting and Cleaning Data https://www.coursera.org/learn/data-cleaning via Coursera|5th Dec|4|3.4★ Practical Machine Learning https://www.coursera.org/learn/practical-machine-learning via Coursera|5th Dec|4|3.4★ Exploratory Data Analysis https://www.coursera.org/learn/exploratory-data-analysis via Coursera|5th Dec|4|3.8★ Regression Models https://www.coursera.org/learn/regression-models via Coursera|5th Dec|4|2.6★ Statistical Inference https://www.coursera.org/learn/statistical-inference via Coursera|5th Dec|4|2.7★ Reproducible Research https://www.coursera.org/learn/reproducible-research via Coursera|5th Dec|4|3.7★ Software Architecture for the Internet of Things https://www.coursera.org/learn/iot-software-architecture via Coursera|5th Dec|NA|NA NEW Advanced Linear Models for Data Science 2: Statistical Linear Models https://www.coursera.org/learn/linear-models-2 via Coursera|5th Dec|NA|NA Games, Sensors and Media https://www.coursera.org/learn/games via Coursera|5th Dec|4|NA Mastering the Software Engineering Interview https://www.coursera.org/learn/cs-tech-interview via Coursera|5th Dec|4|5★ Algorithms on Graphs https://www.coursera.org/learn/algorithms-on-graphs via Coursera|5th Dec|NA|4★ Multiplatform Mobile App Development with Web Technologies https://www.coursera.org/learn/hybrid-mobile-development via Coursera|5th Dec|4|5★ Data Warehouse Concepts, Design, and Data Integration http://bit.ly/2fYB1hn via Coursera|5th Dec|5|5★ Advanced Data Structures in Java https://www.coursera.org/learn/advanced-data-structures via Coursera|5th Dec|5|NA Introduction to Data Science in Python https://www.coursera.org/learn/python-data-analysis via Coursera|5th Dec|NA|NA Algorithms on Strings https://www.coursera.org/learn/algorithms-on-strings via Coursera|5th Dec|NA|3★ Functional Programming Principles in Scala https://www.coursera.org/learn/progfun1 via Coursera|5th Dec|7|4.8★ Data Structures and Performance https://www.coursera.org/learn/data-structures-optimizing-performance via Coursera|5th Dec|5|5★ Programming Mobile Applications for Android Handheld Systems: Part 2 https://www.coursera.org/learn/android-programming-2 via Coursera|5th Dec|5|4.5★ Divide and Conquer, Sorting and Searching, and Randomized Algorithms https://www.coursera.org/learn/algorithms-divide-conquer via Coursera|5th Dec|NA|NA NEW Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming https://www.coursera.org/learn/algorithms-greedy via Coursera|5th Dec|NA|NA Build Your First Android App Project-Centered Course https://www.coursera.org/learn/android-appvia Coursera|5th Dec|5|3★ Responsive Website Tutorial and Examples https://www.coursera.org/learn/responsive-website-examples via Coursera|5th Dec|4|5★ Programming Mobile Applications for Android Handheld Systems: Part 1 https://www.coursera.org/learn/android-programming via Coursera|5th Dec|5|4.1★ Beginning Game Programming with C# https://www.coursera.org/learn/game-programming via Coursera|5th Dec|12|3.4★ Global Warming II: Create Your Own Models in Python https://www.coursera.org/learn/global-warming-model via Coursera|12th Dec|5|2★ Data Analysis Tools https://www.coursera.org/learn/data-analysis-tools via Coursera|12th Dec|4|3★ Algorithmic Thinking Part 1 https://www.coursera.org/learn/algorithmic-thinking-1 via Coursera|12th Dec|4|4.1★ Testing with Agile https://www.coursera.org/learn/agile-development via Coursera|12th Dec|NA|NA Interactive Computer Graphics https://www.coursera.org/learn/interactive-computer-graphics via Coursera|12th Dec|8|3.5★ Managing Data Analysis https://www.coursera.org/learn/managing-data-analysis via Coursera|12th Dec|1|1.8★ Cloud Computing Concepts: Part 2 https://www.coursera.org/learn/cloud-computing-2 via Coursera|12th Dec|5|4.8★ Cybersecurity and Mobility https://www.coursera.org/learn/cybersecurity-mobility via Coursera|12th Dec|NA|NA Android App Components - Intents, Activities, and Broadcast Receivers https://www.coursera.org/learn/androidapps via Coursera|12th Dec|NA|NA NEW Building Data Visualization Tools https://www.coursera.org/learn/r-data-visualization via Coursera|12th Dec|NA|NA Analysis of Algorithms https://www.coursera.org/learn/analysis-of-algorithms via Coursera|12th Dec|6|4.8★ Introduction to Meteor.js Development https://www.coursera.org/learn/meteor-development via Coursera|12th Dec|4|5★ iOS App Development Basics https://www.coursera.org/learn/ios-app-development-basics via Coursera|12th Dec|5|4★ Essential Design Principles for Tableau https://www.coursera.org/learn/dataviz-design via Coursera|12th Dec|NA|NA C++ For C Programmers, Part B https://www.coursera.org/learn/c-plus-plus-b via Coursera|12th Dec|NA|NA Data Science in Real Life https://www.coursera.org/learn/real-life-data-sciencevia Coursera|12th Dec|1|3★ Building a Data Science Team https://www.coursera.org/learn/build-data-science-team via Coursera|12th Dec|1|3.3★ Machine Learning https://www.coursera.org/learn/machine-learning via Coursera|12th Dec|11|4.8★ Principles of Computing Part 1 https://www.coursera.org/learn/principles-of-computing-1 via Coursera|12th Dec|5|4.6★ Introduction to Big Data https://www.coursera.org/learn/big-data-introduction via Coursera|12th Dec|3|2.6★ Running Product Design Sprints https://www.coursera.org/learn/running-design-sprints via Coursera|12th Dec|5|NA NEW Fundamentals of Computer Architecture https://www.coursera.org/learn/computer-architecture-fundamentals via Coursera|12th Dec|NA|NA Data Visualization and Communication with Tableau https://www.coursera.org/learn/analytics-tableau via Coursera|12th Dec|5|4★ Hadoop Platform and Application Framework https://www.coursera.org/learn/hadoop via Coursera|12th Dec|5|1.9★ A developer's guide to the Internet of Things IoT https://www.coursera.org/learn/developer-iot via Coursera|12th Dec|NA|4★ Internet of Things: Communication Technologies https://www.coursera.org/learn/internet-of-things-communication via Coursera|12th Dec|4|3★ Building R Packages https://www.coursera.org/learn/r-packages via Coursera|12th Dec|NA|NA Java Programming: Solving Problems with Software https://www.coursera.org/learn/java-programming via Coursera|12th Dec|4|3.3★ A Crash Course in Data Science https://www.coursera.org/learn/data-science-course via Coursera|12th Dec|1|3.3★ Database Management Essentials https://www.coursera.org/learn/database-management via Coursera|12th Dec|7|3.8★ Introduction to Neurohacking In R https://www.coursera.org/learn/neurohacking via Coursera|12th Dec|NA|NA The R Programming Environment https://www.coursera.org/learn/r-programming-environment via Coursera|12th Dec|NA|NA Introduction to Architecting Smart IoT Devices https://www.coursera.org/learn/iot-devices via Coursera|12th Dec|NA|NA Algorithmic Thinking Part 2 https://www.coursera.org/learn/algorithmic-thinking-2 via Coursera|12th Dec|NA|4.4★ Fundamentals of Visualization with Tableau https://www.coursera.org/learn/data-visualization-tableau via Coursera|12th Dec|NA|NA Dealing With Missing Data https://www.coursera.org/learn/missing-data via Coursera|12th Dec|NA|NA Java Programming: Arrays, Lists, and Structured Data https://www.coursera.org/learn/java-programming-arrays-lists-data via Coursera|12th Dec|4|4.3★ Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure https://www.coursera.org/learn/cloud-applications-part1 via Coursera|12th Dec|5|3.4★ Big Data Integration and Processing https://www.coursera.org/learn/big-data-integration-processing via Coursera|12th Dec|NA|NA Cybersecurity and the X-Factor https://www.coursera.org/learn/cybersecurity-and-x-factor via Coursera|12th Dec|NA|NA Advanced R Programming https://www.coursera.org/learn/advanced-r via Coursera|12th Dec|NA|NA Responsive Web Design https://www.coursera.org/learn/responsive-web-design via Coursera|12th Dec|4|3.3★ Introduction To Swift Programming https://www.coursera.org/learn/swift-programming via Coursera|12th Dec|5|1.2★ Data Management and Visualization https://www.coursera.org/learn/data-visualization via Coursera|12th Dec|4|2.4★ Principles of Computing Part 2 https://www.coursera.org/learn/principles-of-computing-2 via Coursera|12th Dec|NA|4.3★ Software Security https://www.coursera.org/learn/software-security via Coursera|12th Dec|6|4.7★ Java for Android https://www.coursera.org/learn/java-for-android via Coursera|13th Dec|4|NA NEW Building and Deploying Android App Projects https://www.coursera.org/learn/badaap via Coursera|15th Dec|NA|NA C++ For C Programmers, Part A https://www.coursera.org/learn/c-plus-plus-a via Coursera|19th Dec|NA|3.2★ Introduction to Genomic Technologies https://www.coursera.org/learn/introduction-genomics via Coursera|19th Dec|4|2.7★ Python for Genomic Data Science https://www.coursera.org/learn/python-genomics via Coursera|19th Dec|4|2.4★ Web Connectivity and Security in Embedded Systems https://www.coursera.org/learn/iot-connectivity-security via Coursera|19th Dec|NA|NA Bioinformatics: Introduction and Methods 生物信息学: 导论与方法 https://www.coursera.org/learn/bioinformatics-pku via Coursera|19th Dec|14|NA Statistics for Genomic Data Science https://www.coursera.org/learn/statistical-genomics via Coursera|19th Dec|4|2★ Web Application Development: Basic Concepts https://www.coursera.org/learn/web-app via Coursera|19th Dec|NA|NA 算法设计与分析 Design and Analysis of Algorithms https://www.coursera.org/learn/algorithms via Coursera|19th Dec|13|NA Genomic Data Science with Galaxy https://www.coursera.org/learn/galaxy-project via Coursera|19th Dec|4|1.8★ Discrete Optimization https://www.coursera.org/learn/discrete-optimization via Coursera|19th Dec|9|4.3★ Programming Languages, Part B https://www.coursera.org/learn/programming-languages-part-b via Coursera|19th Dec|NA|NA Build Your Own iOS App https://www.coursera.org/learn/build-app via Coursera|19th Dec|NA|NA 面向对象技术高级课程(The Advanced Object-Oriented Technology) https://www.coursera.org/learn/aoo via Coursera|19th Dec|12|NA Julia Scientific Programming https://www.coursera.org/learn/julia-programming via Coursera|19th Dec|NA|NA Computer Architecture https://www.coursera.org/learn/comparch via Coursera|19th Dec|11|4.5★ Internet of Things: How did we get here? https://www.coursera.org/learn/internet-of-things-history via Coursera|26th Dec|2|2★ Big Data, Cloud Computing, & CDN Emerging Technologies https://www.coursera.org/learn/big-data-cloud-computing-cdnvia Coursera|26th Dec|3|3.3★ Wireless Communication Emerging Technologies https://www.coursera.org/learn/wireless-communication-technologiesvia Coursera|26th Dec|5|3.7★ Internet of Things & Augmented Reality Emerging Technologies https://www.coursera.org/learn/iot-augmented-reality-technologies via Coursera|26th Dec|2|2.5★ Algorithms, Part I https://www.coursera.org/learn/introduction-to-algorithms via Coursera|26th Dec|6|4.4★ Cryptography I https://www.coursera.org/learn/cryptovia Coursera|26th Dec|7|4.7★ Programming Languages, Part C https://www.coursera.org/learn/programming-languages-part-c via Coursera|26th Dec|NA|NA Architecting Smart IoT Devices https://www.coursera.org/learn/iot-architecture via Coursera|26th Dec|NA|NA Internet of Things: Sensing and Actuation From Devices https://www.coursera.org/learn/internet-of-things-sensing-actuation via Coursera|26th Dec|6|NA Internet of Things: Setting Up Your DragonBoard™ Development Platform https://www.coursera.org/learn/internet-of-things-dragonboard via Coursera|26th Dec|10|3★ Process Mining: Data science in Action https://www.coursera.org/learn/process-mining via Coursera|26th Dec|6|4.3★ Internet Emerging Technologies https://www.coursera.org/learn/internet-technologies via Coursera|26th Dec|3|3★ Cryptography https://www.coursera.org/learn/cryptography via Coursera|26th Dec|7|4.2★

ADVANCED42

Course Name|Start Date|Length in weeks|Rating :--|:--:|:--:|:--:|:--: NEW Combining and Analyzing Complex Data https://www.coursera.org/learn/data-collection-analytics-project via Coursera|1st Dec|NA|NA NEW Recommender Systems: Evaluation and Metrics https://www.coursera.org/learn/recommender-metrics via Coursera|1st Dec|NA|NA Genomic Data Science and Clustering Bioinformatics V https://www.coursera.org/learn/genomic-data via Coursera|1st Dec|2|3.5★ Regression Modeling in Practice https://www.coursera.org/learn/regression-modeling-practice via Coursera|2nd Dec|4|5★ Genome Sequencing Bioinformatics II https://www.coursera.org/learn/genome-sequencing via Coursera|5th Dec|4|5★ Big Data, Genes, and Medicine https://www.coursera.org/learn/data-genes-medicine via Coursera|5th Dec|NA|NA Probabilistic Graphical Models 1: Representation https://www.coursera.org/learn/probabilistic-graphical-models via Coursera|5th Dec|11|4.4★ Parallel programming https://www.coursera.org/learn/parprog1 via Coursera|5th Dec|NA|5★ Machine Learning With Big Data https://www.coursera.org/learn/big-data-machine-learning via Coursera|5th Dec|4|1.8★ Comparing Genes, Proteins, and Genomes Bioinformatics III https://www.coursera.org/learn/comparing-genomes via Coursera|5th Dec|5|5★ Relational Database Support for Data Warehouses https://www.coursera.org/learn/dwrelational via Coursera|5th Dec|5|2★ Machine Learning Foundations: A Case Study Approach https://www.coursera.org/learn/ml-foundations via Coursera|5th Dec|6|4.2★ Finding Mutations in DNA and Proteins Bioinformatics VI https://www.coursera.org/learn/dna-mutations via Coursera|5th Dec|5|NA Approximation Algorithms Part II https://www.coursera.org/learn/approximation-algorithms-part-2 via Coursera|5th Dec|4|NA Machine Learning: Regression https://www.coursera.org/learn/ml-regression via Coursera|5th Dec|6|4.7★ Finding Hidden Messages in DNA Bioinformatics I https://www.coursera.org/learn/dna-analysis via Coursera|5th Dec|4|4.5★ Machine Learning: Classification https://www.coursera.org/learn/ml-classification via Coursera|5th Dec|7|4.8★ Pattern Discovery in Data Mining https://www.coursera.org/learn/data-patterns via Coursera|5th Dec|4|2.2★ Graph Analytics for Big Data https://www.coursera.org/learn/big-data-graph-analytics via Coursera|5th Dec|4|2.4★ Machine Learning: Clustering & Retrieval https://www.coursera.org/learn/ml-clustering-and-retrieval via Coursera|5th Dec|NA|4.5★ Practical Predictive Analytics: Models and Methods https://www.coursera.org/learn/predictive-analytics via Coursera|5th Dec|4|2.5★ Developing Data Products https://www.coursera.org/learn/data-products via Coursera|5th Dec|4|3.9★ Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud http://bit.ly/2gXcF52 via Coursera|5th Dec|NA|NA Introduction to Recommender Systems: Non-Personalized and Content-Based https://www.coursera.org/learn/recommender-systems-introduction via Coursera|5th Dec|NA|NA Hardware Security https://www.coursera.org/learn/hardware-security via Coursera|5th Dec|6|3★ Cluster Analysis in Data Mining https://www.coursera.org/learn/cluster-analysis via Coursera|12th Dec|4|2.6★ Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions https://www.coursera.org/learn/descriptive-statistics-statistical-distributions-business-application via Coursera|12th Dec|NA|NA Text Mining and Analytics https://www.coursera.org/learn/text-mining via Coursera|12th Dec|4|3.7★ Nearest Neighbor Collaborative Filtering https://www.coursera.org/learn/collaborative-filtering via Coursera|12th Dec|NA|NA Machine Learning for Data Analysis https://www.coursera.org/learn/machine-learning-data-analysis via Coursera|12th Dec|4|3★ Probabilistic Graphical Models 2: Inference https://www.coursera.org/learn/probabilistic-graphical-models-2-inference via Coursera|19th Dec|NA|NA Computational Neuroscience https://www.coursera.org/learn/computational-neuroscience via Coursera|19th Dec|8|3.8★ Algorithms for DNA Sequencing https://www.coursera.org/learn/dna-sequencing via Coursera|19th Dec|4|4.5★ Bioconductor for Genomic Data Science https://www.coursera.org/learn/bioconductor via Coursera|19th Dec|4|3.3★ System Validation 2: Model process behaviour https://www.coursera.org/learn/system-validation-behavior via Coursera|19th Dec|NA|NA System Validation: Automata and behavioural equivalences https://www.coursera.org/learn/automata-system-validation via Coursera|26th Dec|NA|NA Advanced Linear Models for Data Science 1: Least Squares https://www.coursera.org/learn/linear-models via Coursera|26th Dec|NA|NA Big Data Science with the BD2K-LINCS Data Coordination and Integration Center https://www.coursera.org/learn/bd2k-lincs via Coursera|26th Dec|7|4★ Neural Networks for Machine Learning https://www.coursera.org/learn/neural-networks via Coursera|26th Dec|8|4.5★ Hands-on Text Mining and Analytics https://www.coursera.org/learn/text-mining-analytics via Coursera|26th Dec|NA|NA Quantitative Formal Modeling and Worst-Case Performance Analysis https://www.coursera.org/learn/quantitative-formal-modeling-1 via Coursera|26th Dec|4|4★ Embedded Hardware and Operating Systems https://www.coursera.org/learn/embedded-operating-system via Coursera|26th Dec|NA|NA

r/WGU_CompSci • post
13 points • AnarchySoda
C952 Computer Architecture supplement/replacement material

Found a Coursera Computer Arch course that uses the book that the ZyBook was based on. I'm finding I like the videos better than staring at a wall of text, and the guy who does them adds info and makes it a little easier for me to really get how it all fits together. It's put out by Princeton, looks like you can enroll whenever, and using the material is free if you make/have a Coursera account. Figured I'd share for anyone who wants another option :-)

https://www.coursera.org/learn/comparch

r/learnprogramming • post
441 points • dhawal
Here's a list of 35 free online programming/CS courses (MOOCs) with feedback(i.e. exams/homeworks/assignments) that you can start this month

I had made a similar post previously and it was well received. Since September is the biggest month for MOOCs so far, I thought this would be useful. This is not the complete list of courses starting in September, just the ones relevant to this community. I maintain a much bigger list of these courses over at Class Central

EdX (3)

Course Name|Start Date|Length :--|:--:|:--: 6.002x: Circuits and Electronics|Sep 5th|14 weeks CS169.1x: Software as a Service|Sep 24th|5 weeks CS188.1x: Artificial Intelligence|Sep 24th|7 weeks

Brown University(1)

Course Name|Start Date|Length :--|:--:|:--: CSCI 1730 - Introduction to Programming Languages|Sep 5th|NA

Udacity (13)

Course Name|Start Date|Length :--|:--:|:--: CS222 - Making Math Matter - Differential Equations in Action|Sep 3rd|7 weeks CS259 - Software Debugging - Automating The Boring Tasks|Sep 3rd|7 weeks EP245 - Entrepreneurship: The Lean LaunchPad - How to Build a Startup|Sep 14th|7 weeks CS 101: Building a Search Engine|Open Enrollment|7 weeks CS 373: Programming a Robotic Car|Open Enrollment|7 weeks CS212 - The Design of Computer Programs|Open Enrollment|7 weeks CS253 - Web Application Engineering - Building a Blog|Open Enrollment|7 weeks CS262 - Programming Languages - Building a Browser|Open Enrollment|7 weeks CS387 - Applied Cryptography|Open Enrollment|7 weeks ST101 - Introduction to Statistics - Making Decisions based on Data|Open Enrollment|7 weeks PH100 - Intro to Physics - Landmarks in Physics|Open Enrollment|7 weeks CS215 - Algorithms - Crunching Social Networks|Open Enrollment|7 weeks CS258 - Software Testing - How to Make Software Fail|Open Enrollment|7 weeks

Coursera (17)

Course Name|Start Date|Length :--|:--:|:--: Statistics One|Sep 3rd|6 weeks Networked Life|Sep 10th|6 weeks Networks: Friends, Money, and Bytes|Sep 17th|10 weeks Introduction to Mathematical Thinking|Sep 17th|7 weeks Functional Programming Principles in Scala|Sep 18th|7 weeks Social Network Analysis|Sep 24th|8 weeks Probabilistic Graphical Models|Sep 24th|11 weeks Human-Computer Interaction|Sep 24th|5 weeks Introduction to Logic|Sep 24th|7 weeks Learn to Program: The Fundamentals|Sep 24th|7 weeks Computing for Data Analysis|Sep 24th|4 weeks Mathematical Biostatistics Bootcamp|Sep 24th|7 weeks Neural Networks for Machine Learning|Sep 24th|8 weeks Scientific Computing|Sep 24th|10 weeks Information Security and Risk Management in Context|Sep 24th|10 weeks Heterogeneous Parallel Programming|Sep 24th|6 weeks Computer Architecture|Sep 30th|10 weeks

openHPI (1)

Course Name|Start Date|Length :--|:--:|:--: In-Memory Data Management|Sep 3rd|6 weeks

r/Amd • post
7 points • infocom6502
Coursera free Course on Computer Architecture (Princeton) online now.
r/learnprogramming • post
1477 points • dhawal
Here's a list of 450+ free online programming/CS courses (MOOCs) with feedback(i.e. exams/homeworks/assignments) that you can start this month (August 2016)

Unfortunately I couldn't fit all the courses here because of Reddit's 40,000 character limit. So I removed older self-paced courses from the list. These courses are always open for registration.

They can be found here:

~300 Self Paced Programming and Computer Science courses

I have also started categorizing the courses listed here by the programming language they are taught in. You can find the list here:

~250 MOOCs categorized by Programming Language

This is not the complete list of MOOCs starting in August 2016, just the ones relevant to this community. The complete list of courses starting in August 2016 can be found over at Class Central (1300+ courses). I maintain a much bigger list of these courses over at Class Central

Get this list every month via email : Subscribe

NOTE: Unfortunately Coursera has converted many of its courses to 'Premium Grading'. Which basically means that you need to pay if you want to access graded assignments :(. You can also apply for Financial Aid - https://learner.coursera.help/hc/en-us/articles/209819033-Apply-for-Financial-Aid

BEGINNER(21)

Course Name|Start Date|Length (in weeks)|Rating :--|:--:|:--:|:--:|:--: Web Accessibility via Udacity|Self paced|NA|NA [NEW] Java Programming Basics via Udacity|Self paced|NA|NA How To Create a Website in a Weekend! (Project-Centered Course) via Coursera|1st Aug|3|5★ (1) Ruby on Rails: An Introduction via Coursera|1st Aug|3|3.1★ (48) Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course) via Coursera|1st Aug|6|4.8★ (11) Creative Coding via FutureLearn|1st Aug|6|3.8★ (6) HTML, CSS, and Javascript for Web Developers via Coursera|1st Aug|5|5★ (3) HTML, CSS and JavaScript via Coursera|1st Aug|3|4.1★ (13) Introduction to HTML5 via Coursera|1st Aug|3|4.2★ (28) Introduction to the Internet of Things and Embedded Systems via Coursera|1st Aug|4|3.8★ (5) Creative Programming for Digital Media & Mobile Apps via Coursera|1st Aug|NA|4★ (10) Introduction to CSS3 via Coursera|8th Aug|4|4.6★ (7) Internet History, Technology, and Security via Coursera|8th Aug|10|4.7★ (27) Big Data: from Data to Decisions via FutureLearn|8th Aug|2|NA Programming and the Web for Beginners via Coursera|8th Aug|4|3.8★ (9) Code Yourself! An Introduction to Programming via Coursera|15th Aug|5|4.3★ (6) CODAPPS: Coding mobile apps for entrepreneurs via Coursera|15th Aug|8|5★ (1) An Introduction to Interactive Programming in Python (Part 2) via Coursera|22nd Aug|4|4.8★ (40) Usable Security via Coursera|22nd Aug|7|2.9★ (8) An Introduction to Interactive Programming in Python (Part 1) via Coursera|22nd Aug|5|4.9★ (2815) Introduction to Computer Science and Programming Using Python via edX|30th Aug|10|4.6★ (81)

INTERMEDIATE(127)

Course Name|Start Date|Length (in weeks)|Rating :--|:--:|:--:|:--:|:--: Google Maps APIs via Udacity|Self paced|NA|NA Concurrency via Others|Self paced|NA|NA Client-Server Communication via Udacity|Self paced|NA|NA Data Science Essentials via edX|Self paced|NA|NA Intro to Progressive Web Apps via Udacity|Self paced|NA|NA Android Basics: Multi-screen Apps via Udacity|Self paced|NA|4★ (1) Principles of Machine Learning via edX|Self paced|NA|NA [NEW] Android Basics: Networking via Udacity|Self paced|NA|NA Responsive Website Basics: Code with HTML, CSS, and JavaScript via Coursera|1st Aug|4|3.9★ (20) Responsive Website Tutorial and Examples via Coursera|1st Aug|4|5★ (1) Biology Meets Programming: Bioinformatics for Beginners via Coursera|1st Aug|4|5★ (5) C++ For C Programmers, Part A via Coursera|1st Aug|5|NA Advanced Data Structures in Java via Coursera|1st Aug|5|NA Algorithms on Graphs via Coursera|1st Aug|NA|4★ (1) The Raspberry Pi Platform and Python Programming for the Raspberry Pi via Coursera|1st Aug|4|3.5★ (2) Java Programming: Principles of Software Design via Coursera|1st Aug|4|4.7★ (3) Data Structures Made Easy via Coursera|1st Aug|5|5★ (3) Ruby on Rails Web Services and Integration with MongoDB via Coursera|1st Aug|4|4.8★ (4) Bioinformatics: Introduction and Methods 生物信息学: 导论与方法 via Coursera|1st Aug|14|NA App Design and Development for iOS via Coursera|1st Aug|5|3★ (2) Games, Sensors and Media via Coursera|1st Aug|4|NA Foundations of Objective-C App Development via Coursera|1st Aug|4|3★ (2) Big Data Modeling and Management Systems via Coursera|1st Aug|NA|NA Interfacing with the Arduino via Coursera|1st Aug|4|4★ (4) Rails with Active Record and Action Pack via Coursera|1st Aug|4|4★ (1) Text Retrieval and Search Engines via Coursera|1st Aug|4|3.2★ (5) Web Application Development: Basic Concepts via Coursera|1st Aug|NA|NA [NEW] Dealing With Missing Data via Coursera|1st Aug|NA|NA Web Application Development with JavaScript and MongoDB via Coursera|1st Aug|4|4.2★ (5) Data Manipulation at Scale: Systems and Algorithms via Coursera|1st Aug|4|2.5★ (4) Interfacing with the Raspberry Pi via Coursera|1st Aug|4|1★ (1) [NEW] Agent-Based Modeling in Netlogo via Complexity Explorer|1st Aug|NA|NA Python for Genomic Data Science via Coursera|1st Aug|4|2.4★ (11) Framework for Data Collection and Analysis via Coursera|1st Aug|NA|3.5★ (2) Software Security via Coursera|1st Aug|6|4.7★ (20) Introduction to Genomic Technologies via Coursera|1st Aug|4|2.7★ (10) Getting Started: Agile Meets Design Thinking via Coursera|1st Aug|5|5★ (1) Best Practices for iOS User Interface Design via Coursera|1st Aug|4|5★ (1) Introduction to Python for Data Science via edX|1st Aug|38|3.8★ (8) Introduction to R for Data Science via edX|1st Aug|35|4.1★ (21) Functional Programming Principles in Scala via Coursera|1st Aug|7|4.8★ (43) Advanced Styling with Responsive Design via Coursera|1st Aug|4|4.7★ (3) VLSI CAD Part I: Logic via Coursera|1st Aug|10|5★ (3) Object Oriented Programming in Java via Coursera|1st Aug|6|4.8★ (10) Data Warehouse Concepts, Design, and Data Integration via Coursera|1st Aug|5|5★ (1) R Programming via Coursera|1st Aug|4|2.7★ (209) The Data Scientist’s Toolbox via Coursera|1st Aug|4|3.2★ (141) Getting and Cleaning Data via Coursera|1st Aug|4|3.4★ (47) Practical Machine Learning via Coursera|1st Aug|4|3.4★ (20) Exploratory Data Analysis via Coursera|1st Aug|4|3.8★ (32) Regression Models via Coursera|1st Aug|4|2.6★ (27) Statistical Inference via Coursera|1st Aug|4|2.7★ (26) [NEW] Advanced Algorithms and Complexity via Coursera|1st Aug|NA|NA Reproducible Research via Coursera|1st Aug|4|3.7★ (22) Build Your First Android App (Project-Centered Course) via Coursera|1st Aug|5|3★ (1) [NEW] Big Data Integration and Processing via Coursera|1st Aug|NA|NA Managing Big Data with MySQL via Coursera|1st Aug|5|3.8★ (5) Statistics for Genomic Data Science via Coursera|1st Aug|4|2★ (2) Data Structures via Coursera|1st Aug|4|2★ (2) Toward the Future of iOS Development with Swift via Coursera|1st Aug|4|NA The Arduino Platform and C Programming via Coursera|1st Aug|4|3.3★ (7) Data Visualization via Coursera|1st Aug|4|3.3★ (14) Functional Program Design in Scala via Coursera|1st Aug|NA|NA Computer Architecture via Coursera|1st Aug|11|4.5★ (4) Managing an Agile Team via Coursera|1st Aug|NA|2★ (1) Server-side Development with NodeJS via Coursera|1st Aug|4|5★ (1) Cloud Computing Concepts, Part 1 via Coursera|1st Aug|5|2.6★ (17) Genomic Data Science with Galaxy via Coursera|1st Aug|4|1.8★ (11) Introduction to Spreadsheets and Models via Coursera|1st Aug|4|4.7★ (3) Interactivity with JavaScript via Coursera|1st Aug|4|4.3★ (6) M101J: MongoDB for Java Developers via MongoDB University|2nd Aug|7|4.5★ (15) M101JS: MongoDB for Node.js Developers via MongoDB University|2nd Aug|7|4.4★ (8) M101P: MongoDB for Developers via MongoDB University|2nd Aug|7|4.8★ (8) M102: MongoDB for DBAs via MongoDB University|2nd Aug|7|4.5★ (8) M202: MongoDB Advanced Deployment and Operations via MongoDB University|2nd Aug|7|5★ (4) [NEW] Engineering Maintainable Android Apps via Coursera|7th Aug|NA|NA [NEW] Agile Planning for Software Products via Coursera|8th Aug|4|3★ (2) Database Management Essentials via Coursera|8th Aug|7|4.3★ (3) Java Programming: Arrays, Lists, and Structured Data via Coursera|8th Aug|4|4.3★ (3) Cryptography via Coursera|8th Aug|7|4.2★ (6) Front-End JavaScript Frameworks: AngularJS via Coursera|8th Aug|4|4★ (3) Mastering the Software Engineering Interview via Coursera|8th Aug|4|5★ (1) Algorithms on Strings via Coursera|8th Aug|NA|NA Responsive Web Design via Coursera|8th Aug|4|3.3★ (10) Process Mining: Data science in Action via Coursera|8th Aug|6|4.3★ (12) [NEW] Client Needs and Software Requirements via Coursera|8th Aug|4|4.6★ (5) Introduction To Swift Programming via Coursera|8th Aug|5|1.3★ (4) [NEW] Reviews & Metrics for Software Improvements via Coursera|8th Aug|4|NA Data Management and Visualization via Coursera|8th Aug|4|2.4★ (5) Running Product Design Sprints via Coursera|8th Aug|5|NA Data Analysis Tools via Coursera|8th Aug|4|3★ (3) Managing Data Analysis via Coursera|8th Aug|1|1.8★ (6) Machine Learning via Coursera|8th Aug|11|4.8★ (203) Introduction to Big Data via Coursera|8th Aug|3|2.6★ (27) Cloud Computing Concepts: Part 2 via Coursera|8th Aug|5|4.8★ (4) Cloud Computing Applications, Part 1 via Coursera|8th Aug|5|3.4★ (7) Algorithmic Toolbox via Coursera|8th Aug|5|4.7★ (6) Data Visualization and Communication with Tableau via Coursera|8th Aug|5|4★ (7) iOS App Development Basics via Coursera|8th Aug|5|4★ (2) Algorithms: Design and Analysis, Part 1 via Coursera|8th Aug|6|4.7★ (51) Testing with Agile via Coursera|8th Aug|NA|NA Cryptography I via Coursera|8th Aug|7|4.7★ (38) Algorithms: Design and Analysis, Part 2 via Coursera|8th Aug|6|4.8★ (16) Java Programming: Solving Problems with Software via Coursera|8th Aug|4|3.3★ (8) [NEW] Introduction to Software Product Management via Coursera|8th Aug|2|4.1★ (9) Software Processes and Agile Practices via Coursera|8th Aug|4|4.3★ (9) A developer's guide to the Internet of Things (IoT) via Coursera|8th Aug|NA|4★ (1) Introduction to Meteor.js Development via Coursera|8th Aug|4|5★ (3) Hadoop Platform and Application Framework via Coursera|8th Aug|5|1.9★ (19) Front-End Web UI Frameworks and Tools via Coursera|8th Aug|4|4.3★ (6) The Nature of Code via Kadenze|9th Aug|5|5★ (6) Java for Android via Coursera|9th Aug|4|NA Big Data Analysis with Apache Spark via edX|10th Aug|5|4.4★ (39) Programming Mobile Applications for Android Handheld Systems: Part 2 via Coursera|15th Aug|5|4.5★ (12) Approximation Algorithms Part I via Coursera|15th Aug|5|5★ (2) Software Architecture for the Internet of Things via Coursera|15th Aug|NA|NA Beginning Game Programming with C# via Coursera|15th Aug|12|3.5★ (15) Programming Mobile Applications for Android Handheld Systems: Part 1 via Coursera|15th Aug|5|4.1★ (35) Introduction to Neurohacking In R via Coursera|22nd Aug|NA|NA Algorithmic Thinking (Part 1) via Coursera|22nd Aug|4|4.1★ (13) Global Warming II: Create Your Own Models in Python via Coursera|22nd Aug|5|2★ (1) [NEW] Single Page Web Applications with AngularJS via Coursera|22nd Aug|NA|NA Interactive Computer Graphics via Coursera|22nd Aug|8|3.5★ (2) Principles of Computing (Part 2) via Coursera|22nd Aug|NA|4.3★ (14) Principles of Computing (Part 1) via Coursera|22nd Aug|5|4.6★ (24) Algorithmic Thinking (Part 2) via Coursera|22nd Aug|NA|4.4★ (8) Developing Intelligent Apps via edX|29th Aug|NA|NA

ADVANCED(22)

Course Name|Start Date|Length (in weeks)|Rating :--|:--:|:--:|:--:|:--: Bioconductor for Genomic Data Science via Coursera|1st Aug|4|3.3★ (3) Introduction to Natural Language Processing via Coursera|1st Aug|NA|3.8★ (6) Genome Sequencing (Bioinformatics II) via Coursera|1st Aug|4|5★ (3) Probabilistic Graphical Models via Coursera|1st Aug|11|4.4★ (10) Machine Learning With Big Data via Coursera|1st Aug|4|1.8★ (10) Relational Database Support for Data Warehouses via Coursera|1st Aug|5|NA Finding Hidden Messages in DNA (Bioinformatics I) via Coursera|1st Aug|4|4.5★ (16) Algorithms for DNA Sequencing via Coursera|1st Aug|4|4.5★ (16) Modeling Discrete Optimization via Coursera|1st Aug|8|4.8★ (4) Graph Analytics for Big Data via Coursera|1st Aug|4|2.4★ (5) Machine Learning Foundations: A Case Study Approach via Coursera|1st Aug|6|4.2★ (29) Practical Predictive Analytics: Models and Methods via Coursera|1st Aug|4|2.5★ (2) Hardware Security via Coursera|1st Aug|6|3★ (9) Parallel programming via Coursera|1st Aug|NA|NA Machine Learning: Regression via Coursera|8th Aug|6|4.7★ (13) Text Mining and Analytics via Coursera|8th Aug|4|3.7★ (6) Machine Learning: Clustering & Retrieval via Coursera|8th Aug|NA|4.5★ (2) Introduction to Recommender Systems via Coursera|8th Aug|8|3.6★ (19) Machine Learning for Data Analysis via Coursera|8th Aug|4|3★ (3) Approximation Algorithms Part II via Coursera|15th Aug|4|NA Machine Learning: Classification via Coursera|22nd Aug|7|4.8★ (6) Pattern Discovery in Data Mining via Coursera|29th Aug|4|2.2★ (19)

r/learnprogramming • post
1825 points • dhawal
Here's a list of 234 free online programming/CS courses (MOOCs) with feedback(i.e. exams/homeworks/assignments) that you can start this month (July 2016)

This is not the complete list of MOOCs starting in July 2016, just the ones relevant to this community. The complete list of courses starting in May 2016 can be found over at Class Central (850+ courses). I maintain a much bigger list of these courses over at Class Central

Get this list every month via email : Subscribe

NOTE: Unfortunately Coursera has converted many of its courses to 'Premium Grading'. Which basically means that you need to pay if you want to access graded assignments :(. You can also apply for Financial Aid - https://learner.coursera.help/hc/en-us/articles/209819033-Apply-for-Financial-Aid

BEGINNER(43)

Course Name|Start Date|Length (in weeks)|Rating :--|:--:|:--:|:--:|:--: HTML, CSS, and Javascript for Web Developers via Coursera|4th Jul|5|★★★★★ (2) HTML, CSS and JavaScript via Coursera|4th Jul|3|★★★★☆ (12) Introduction to HTML5 via Coursera|4th Jul|3|★★★★☆ (25) Ruby on Rails: An Introduction via Coursera|4th Jul|3|★★★☆☆ (48) Build a Modern Computer from First Principles: From Nand to Tetris (Project-Centered Course) via Coursera|4th Jul|6|★★★★★ (10) Programming for Everybody (Getting Started with Python) via Coursera|4th Jul|7|★★★★★ (29) Introduction to Cyber Security via FutureLearn|4th Jul|8|★★★★☆ (17) Programming and the Web for Beginners via Coursera|11th Jul|4|★★★★☆ (7) Introduction to CSS3 via Coursera|11th Jul|4|★★★★☆ (5) CODAPPS: Coding mobile apps for entrepreneurs via Coursera|18th Jul|8|★★★★★ (1) Code Yourself! An Introduction to Programming via Coursera|18th Jul|5|★★★★☆ (6) Introduction to Programming with MATLAB via Coursera|25th Jul|9|★★★★★ (120) An Introduction to Interactive Programming in Python (Part 1) via Coursera|25th Jul|5|★★★★★ (2813) An Introduction to Interactive Programming in Python (Part 2) via Coursera|25th Jul|4|★★★★★ (40) Intro to Computer Science via Udacity|Self paced|12|★★★★★ (59) Intro to Java Programming via Udacity|Self paced|16|★★★☆☆ (15) Mobile Web Development via Udacity|Self paced|6|☆☆☆☆☆ DB: Introduction to Databases via Stanford OpenEdx|Self paced|11|★★★★★ (9) Programming Foundations with Python via Udacity|Self paced|6|★★★★☆ (7) Intro to HTML and CSS via Udacity|Self paced|3|★★★★☆ (19) JavaScript Basics via Udacity|Self paced|3|★★★★☆ (9) How to Use Git and GitHub via Udacity|Self paced|3|★★★★☆ (27) Intro to Relational Databases via Udacity|Self paced|4|★★☆☆☆ (3) Networking: Introduction to Computer Networking via Stanford OpenEdx|Self paced|11|★★★★★ (7) CS101: Computer Science 101 via Stanford OpenEdx|Self paced|6|★★★★☆ (9) Programming in Scratch via edX|Self paced|57|★★★★★ (4) MyCS: Computer Science for Beginners via edX|Self paced|6|★★★☆☆ (1) Introduction to Bootstrap – A Tutorial via edX|Self paced|22|★★★☆☆ (7) Introduction to Linux via edX|Self paced|105|★★★★☆ (31) CS For All: Introduction to Computer Science and Python Programming via edX|Self paced|56|★★★★★ (2) Introduction to Java Programming – Part 1 via edX|Self paced|42|★★★★☆ (3) Learn Swift Programming Syntax via Udacity|Self paced|3|☆☆☆☆☆ Think. Create. Code via edX|Self paced|27|★★★★★ (1) Introduction to Cloud Computing via edX|Self paced|25|★★☆☆☆ (6) Introduction to Programming with Java Part 1: Starting to Code with Java via edX|Self paced|NA|★★★☆☆ (2) Introduction to Databases via Coursera|Self paced|NA|★★★★★ (30) Introduction to Java Programming – Part 2 via edX|Self paced|13|☆☆☆☆☆ Programming Basics via edX|Self paced|10|★★☆☆☆ (11) Intro to Ruby via Flatiron School|Self paced|NA|☆☆☆☆☆ Introduction to Computer Science via edX|Self paced|NA|★★★★★ (49) Introduction to jQuery via edX|Self paced|38|★★★★☆ (3) Introduction to Linux via edX|Self paced|105|★★★★☆ (31) Object-Oriented Programming via edX|Self paced|4|★★★★★ (1)

INTERMEDIATE(148)

Course Name|Start Date|Length (in weeks)|Rating :--|:--:|:--:|:--:|:--: Design of Computer Programs via Udacity|Self paced|8|★★★★☆ (10) Web Development via Udacity|Self paced|12|★★★★★ (16) Programming Languages via Udacity|Self paced|8|★★★★☆ (8) Intro to Algorithms via Udacity|Self paced|16|★★☆☆☆ (3) Software Testing via Udacity|Self paced|4|★★★★☆ (7) Software Debugging via Udacity|Self paced|8|★★★★★ (4) Intro to Theoretical Computer Science via Udacity|Self paced|8|★★★★★ (1) Intro to Artificial Intelligence via Udacity|Self paced|16|★★★★☆ (10) HTML5 Game Development via Udacity|Self paced|8|★★★☆☆ (4) Learning from Data (Introductory Machine Learning course) via Others|Self paced|10|★★★★☆ (4) Intro to Hadoop and MapReduce via Udacity|Self paced|4|★★★★☆ (15) CS 8802, Artificial Intelligence for Robotics: Programming a Robotic Car via Udacity|Self paced|NA|★★★★★ (1) Intro to Data Science via Udacity|Self paced|8|★★★★☆ (11) Data Wrangling with MongoDB via Udacity|Self paced|8|★★★★★ (4) Data Analysis with R via Udacity|Self paced|8|★★★★★ (15) Machine Learning: Unsupervised Learning via Udacity|Self paced|4|★★★★☆ (1) UX Design for Mobile Developers via Udacity|Self paced|6|★★★★★ (2) Developing Scalable Apps in Java via Udacity|Self paced|8|★★★★☆ (1) Developing Android Apps via Udacity|Self paced|10|★★★★★ (3) Software Development Process via Udacity|Self paced|12|★★★★☆ (2) Computer Networking via Udacity|Self paced|12|★★★★☆ (4) Practical Numerical Methods with Python via Others|Self paced|17|★★★★★ (2) Object-Oriented JavaScript via Udacity|Self paced|5|★★★★★ (8) Intro to AJAX via Udacity|Self paced|2|★★★★★ (2) Data Visualization and D3.js via Udacity|Self paced|7|★★★☆☆ (3) Intro to iOS App Development with Swift via Udacity|Self paced|4|★★★★★ (4) Intro to jQuery via Udacity|Self paced|NA|★★★★☆ (2) Intro to Machine Learning via Udacity|Self paced|10|★★★★☆ (10) Full Stack Foundations via Udacity|Self paced|3|★☆☆☆☆ (1) Responsive Web Design Fundamentals via Udacity|Self paced|2|★★★★☆ (6) Health Informatics in the Cloud via Udacity|Self paced|5|☆☆☆☆☆ JavaScript Testing via Udacity|Self paced|2|★★★★★ (1) iOS Networking with Swift via Udacity|Self paced|12|☆☆☆☆☆ Browser Rendering Optimization via Udacity|Self paced|4|★★★★☆ (1) Developing Scalable Apps in Python via Udacity|Self paced|6|★★★★☆ (1) How to Make an iOS App via Udacity|Self paced|12|☆☆☆☆☆ Android Development for Beginners via Udacity|Self paced|4|★★★★☆ (6) Advanced Android App Development via Udacity|Self paced|6|☆☆☆☆☆ Material Design for Android Developers via Udacity|Self paced|4|☆☆☆☆☆ Android Ubiquitous Computing via Udacity|Self paced|4|☆☆☆☆☆ Autonomous Mobile Robots via edX|Self paced|NA|★★★☆☆ (3) Explore Statistics with R via edX|Self paced|8|★★★★☆ (12) Intro to DevOps via Udacity|Self paced|3|★★★★☆ (4) How to Code: Systematic Program Design - Part 1 via edX|Self paced|61|★★★☆☆ (4) How to create <anything> in Android via Udacity|Self paced|4|☆☆☆☆☆ Software Architecture & Design via Udacity|Self paced|8|★★★★★ (1) Designing RESTful APIs via Udacity|Self paced|3|☆☆☆☆☆ Intro to Data Analysis via Udacity|Self paced|6|☆☆☆☆☆ Introduction to MongoDB using the MEAN Stack via edX|Self paced|58|☆☆☆☆☆ Interactive Computer Graphics via Coursera|Self paced|8|★★★★☆ (2) How to Code: Systematic Program Design - Part 2 via edX|Self paced|53|☆☆☆☆☆ Firebase Essentials For Android via Udacity|Self paced|8|☆☆☆☆☆ Computer Graphics via edX|Self paced|22|★★★★☆ (5) JavaScript Design Patterns via Udacity|Self paced|6|★★★★★ (2) Data Analysis: Take It to the MAX() via edX|Self paced|8|★★★☆☆ (10) Offline Web Applications via Udacity|Self paced|3|☆☆☆☆☆ JavaScript Promises via Udacity|Self paced|3|★★★★★ (1) Introduction to Python for Data Science via edX|Self paced|38|★★★★☆ (7) Introduction to R for Data Science via edX|Self paced|35|★★★★☆ (19) Introduction to Real-Time Systems via edX|Self paced|13|★★★★☆ (1) Technical Interview via Udacity|Self paced|4|☆☆☆☆☆ Introduction to TypeScript via edX|Self paced|18|★★★★☆ (1) [NEW] Data Science Essentials via edX|Self paced|NA|☆☆☆☆☆ [NEW] Principles of Machine Learning via edX|Self paced|NA|☆☆☆☆☆ Computer Architecture via Coursera|1st Jul|11|★★★★★ (4) Rails with Active Record and Action Pack via Coursera|4th Jul|4|★★★★☆ (1) [NEW] Best Practices for iOS User Interface Design via Coursera|4th Jul|4|★★★★★ (1) [NEW] Games, Sensors and Media via Coursera|4th Jul|4|☆☆☆☆☆ [NEW] Interfacing with the Raspberry Pi via Coursera|4th Jul|4|★☆☆☆☆ (1) [NEW] Foundations of Objective-C App Development via Coursera|4th Jul|4|★★★☆☆ (2) Front-End JavaScript Frameworks: AngularJS via Coursera|4th Jul|4|★★★★☆ (3) Functional Programming Principles in Scala via Coursera|4th Jul|7|★★★★★ (38) Functional Program Design in Scala via Coursera|4th Jul|NA|☆☆☆☆☆ Object Oriented Programming in Java via Coursera|4th Jul|6|★★★★★ (9) Python for Genomic Data Science via Coursera|4th Jul|4|★★☆☆☆ (11) Data Structures via Coursera|4th Jul|4|★☆☆☆☆ (1) 3D Graphics for Web Developers via FutureLearn|4th Jul|5|★☆☆☆☆ (1) [NEW] Interfacing with the Arduino via Coursera|4th Jul|4|★★★★☆ (4) [NEW] Build Your Own iOS App via Coursera|4th Jul|NA|☆☆☆☆☆ [NEW] Toward the Future of iOS Development with Swift via Coursera|4th Jul|4|☆☆☆☆☆ Managing Big Data with MySQL via Coursera|4th Jul|5|★★★★☆ (5) Server-side Development with NodeJS via Coursera|4th Jul|4|★★★★★ (1) [NEW] The Raspberry Pi Platform and Python Programming for the Raspberry Pi via Coursera|4th Jul|4|★★★★☆ (2) Introduction to Spreadsheets and Models via Coursera|4th Jul|4|★★★★★ (2) Algorithms on Graphs via Coursera|4th Jul|NA|☆☆☆☆☆ Introduction to Genomic Technologies via Coursera|4th Jul|4|★★★☆☆ (9) Responsive Website Basics: Code with HTML, CSS, and JavaScript via Coursera|4th Jul|4|★★★★☆ (19) Web Application Development: Basic Concepts via Coursera|4th Jul|NA|☆☆☆☆☆ Interactivity with JavaScript via Coursera|4th Jul|4|★★★★☆ (4) Advanced Data Structures in Java via Coursera|4th Jul|5|☆☆☆☆☆ Java Programming: Principles of Software Design via Coursera|4th Jul|4|★★★★★ (2) Web Application Development with JavaScript and MongoDB via Coursera|4th Jul|4|★★★★☆ (5) Text Retrieval and Search Engines via Coursera|4th Jul|4|★★★☆☆ (5) Data Manipulation at Scale: Systems and Algorithms via Coursera|4th Jul|4|★★★☆☆ (4) Getting Started: Agile Meets Design Thinking via Coursera|4th Jul|5|★★★★★ (1) Data structures: Measuring and Optimizing Performance via Coursera|4th Jul|5|★★★★★ (2) Python Data Structures via Coursera|4th Jul|7|★★★★☆ (22) Using Python to Access Web Data via Coursera|4th Jul|6|★★★★★ (21) Using Databases with Python via Coursera|4th Jul|5|★★★★★ (15) Data Warehouse Concepts, Design, and Data Integration via Coursera|4th Jul|5|★★★★★ (1) Programming with R for Data Science via edX|4th Jul|4|☆☆☆☆☆ Advanced Styling with Responsive Design via Coursera|4th Jul|4|★★★★☆ (1) [NEW] Big Data Modeling and Management Systems via Coursera|4th Jul|NA|☆☆☆☆☆ Responsive Website Tutorial and Examples via Coursera|4th Jul|4|★★★★★ (1) [NEW] The Arduino Platform and C Programming via Coursera|4th Jul|4|★★★☆☆ (7) Ruby on Rails Web Services and Integration with MongoDB via Coursera|4th Jul|4|★★★★★ (4) App Design and Development for iOS via Coursera|4th Jul|5|★★★☆☆ (2) C++ For C Programmers, Part A via Coursera|4th Jul|5|☆☆☆☆☆ Process Mining: Data science in Action via Coursera|11th Jul|6|★★★★☆ (12) Running Product Design Sprints via Coursera|11th Jul|5|☆☆☆☆☆ [NEW] Process Mining with ProM: Learn how to apply the process mining tool ProM on your own data! via FutureLearn|11th Jul|4|☆☆☆☆☆ Machine Learning via Coursera|11th Jul|11|★★★★★ (196) Algorithmic Toolbox via Coursera|11th Jul|5|★★★★★ (5) Introduction to Big Data via Coursera|11th Jul|3|★★★☆☆ (27) Data Visualization and Communication with Tableau via Coursera|11th Jul|5|★★★★☆ (7) Hadoop Platform and Application Framework via Coursera|11th Jul|5|★★☆☆☆ (18) A developer's guide to the Internet of Things (IoT) via Coursera|11th Jul|NA|☆☆☆☆☆ Java Programming: Solving Problems with Software via Coursera|11th Jul|4|★★★☆☆ (6) Front-End Web UI Frameworks and Tools via Coursera|11th Jul|4|★★★★☆ (4) Database Management Essentials via Coursera|11th Jul|7|★★★★☆ (3) Algorithms: Design and Analysis, Part 1 via Coursera|11th Jul|6|★★★★★ (49) Java Programming: Arrays, Lists, and Structured Data via Coursera|11th Jul|4|★★★★☆ (2) Responsive Web Design via Coursera|11th Jul|4|★★★☆☆ (9) Multiplatform Mobile App Development with Web Technologies via Coursera|11th Jul|4|★★★★★ (1) Mastering the Software Engineering Interview via Coursera|11th Jul|4|★★★★★ (1) Cryptography I via Coursera|11th Jul|7|★★★★★ (37) Data Management and Visualization via Coursera|11th Jul|4|★★★☆☆ (4) Introduction To Swift Programming via Coursera|11th Jul|5|★☆☆☆☆ (4) Cloud Computing Concepts: Part 2 via Coursera|11th Jul|5|★★★★★ (4) Data Analysis Tools via Coursera|11th Jul|4|★★★☆☆ (3) Algorithms: Design and Analysis, Part 2 via Coursera|11th Jul|6|★★★★★ (16) Cryptography via Coursera|11th Jul|7|★★★★☆ (6) iOS App Development Basics via Coursera|11th Jul|5|★★★★☆ (2) Introduction to Meteor.js Development via Coursera|11th Jul|4|★★★★★ (3) Java for Android via Coursera|12th Jul|4|☆☆☆☆☆ [NEW] Introduction to Operating Systems via NPTEL|18th Jul|NA|☆☆☆☆☆ Cloud Computing Concepts, Part 1 via Coursera|18th Jul|5|★★★☆☆ (17) Beginning Game Programming with C# via Coursera|18th Jul|12|★★★★☆ (15) Programming Mobile Applications for Android Handheld Systems: Part 1 via Coursera|18th Jul|5|★★★★☆ (35) Документы и презентации в LaTeX (Introduction to LaTeX) via Coursera|18th Jul|5|☆☆☆☆☆ Approximation Algorithms Part I via Coursera|18th Jul|5|★★★★★ (2) Programming Mobile Applications for Android Handheld Systems: Part 2 via Coursera|18th Jul|5|★★★★★ (12) [NEW] Implementation of Data Structures via edX|19th Jul|6|☆☆☆☆☆ Principles of Computing (Part 2) via Coursera|25th Jul|NA|★★★★☆ (13) Global Warming II: Create Your Own Models in Python via Coursera|25th Jul|5|☆☆☆☆☆ Software Security via Coursera|25th Jul|6|★★★★★ (20) Algorithmic Thinking (Part 1) via Coursera|25th Jul|4|★★★★☆ (12) Principles of Computing (Part 1) via Coursera|25th Jul|5|★★★★★ (23) Algorithmic Thinking (Part 2) via Coursera|25th Jul|NA|★★★★★ (7) ADVANCED(43)

Course Name|Start Date|Length (in weeks)|Rating :--|:--:|:--:|:--:|:--: Artificial Intelligence for Robotics via Udacity|Self paced|8|★★★★★ (17) Applied Cryptography via Udacity|Self paced|8|★★★★☆ (2) Intro to Parallel Programming via Udacity|Self paced|12|★★★★☆ (5) Interactive 3D Graphics via Udacity|Self paced|8|★★★★★ (4) Model Building and Validation via Udacity|Self paced|8|★★☆☆☆ (5) Advanced Operating Systems via Udacity|Self paced|5|★★★★★ (4) High Performance Computer Architecture via Udacity|Self paced|NA|★★★★★ (1) Computability, Complexity & Algorithms via Udacity|Self paced|NA|★★★★★ (1) Knowledge-Based AI: Cognitive Systems via Udacity|Self paced|7|☆☆☆☆☆ Introduction to Recommender Systems via Coursera|Self paced|8|★★★★☆ (17) Machine Learning via Udacity|Self paced|16|☆☆☆☆☆ Computational Photography via Udacity|Self paced|16|★★★★☆ (1) Introduction to Computer Vision via Udacity|Self paced|16|★★★★★ (3) GT - Refresher - Advanced OS via Udacity|Self paced|3|☆☆☆☆☆ Introduction to Operating Systems via Udacity|Self paced|8|☆☆☆☆☆ High Performance Computing via Udacity|Self paced|24|☆☆☆☆☆ Data Science and Machine Learning Essentials via edX|Self paced|20|★★★★☆ (5) Machine Learning for Trading via Udacity|Self paced|16|★★★☆☆ (6) Intro to Information Security via Udacity|Self paced|NA|☆☆☆☆☆ Machine Learning via Udacity|Self paced|NA|★★★★★ (3) Deep Learning via Udacity|Self paced|12|★★★☆☆ (2) Statistical Thinking for Data Science and Analytics via edX|Self paced|NA|★★☆☆☆ (12) Introduction to Statistical Methods for Gene Mapping via edX|Self paced|53|☆☆☆☆☆ Machine Learning for Data Science and Analytics via edX|Self paced|53|★★★☆☆ (10) Regression Modeling in Practice via Coursera|1st Jul|4|★★★★★ (2) Computational Neuroscience via Coursera|1st Jul|8|★★★★☆ (5) Graph Analytics for Big Data via Coursera|4th Jul|4|★★★☆☆ (4) Introduction to Natural Language Processing via Coursera|4th Jul|NA|★★★★☆ (6) Machine Learning Foundations: A Case Study Approach via Coursera|4th Jul|6|★★★★☆ (29) Parallel programming via Coursera|4th Jul|NA|☆☆☆☆☆ Algorithms for DNA Sequencing via Coursera|4th Jul|4|★★★★★ (16) Machine Learning With Big Data via Coursera|4th Jul|4|★★☆☆☆ (10) Practical Predictive Analytics: Models and Methods via Coursera|4th Jul|4|★★★☆☆ (2) Relational Database Support for Data Warehouses via Coursera|4th Jul|5|☆☆☆☆☆ Hardware Security via Coursera|5th Jul|6|★★★☆☆ (9) [NEW] Distributed Machine Learning with Apache Spark via edX|6th Jul|2|☆☆☆☆☆ Introduction to Recommender Systems via Coursera|11th Jul|8|★★★★☆ (17) Machine Learning: Regression via Coursera|11th Jul|6|★★★★★ (11) Text Mining and Analytics via Coursera|11th Jul|4|★★★☆☆ (5) Machine Learning for Data Analysis via Coursera|11th Jul|4|★★★☆☆ (3) Approximation Algorithms Part II via Coursera|18th Jul|4|☆☆☆☆☆ Machine Learning: Classification via Coursera|25th Jul|7|★★★★★ (6)

r/WGU_CompSci • post
35 points • Aleriya
WGU CS Free Study Resources

I'm putting together a list of free resources for WGU CS students, especially for those looking to study ahead before starting the program. Please let me know if you'd recommend any resources to add to the list.

Calc 1

Discrete Math 1

Data Structures and Algorithms

Software 1-2 (Java)

Unofficial:

Computer Architecture

r/computerarchitecture • post
2 points • Cupcakes_Made_Me_Fat
Coursera's computer architecture course. Taught at a graduate level.
r/Amd • comment
2 points • FantasticPhenom

I haven't gone through this one, but eyeballing it, this looks solid

https://www.coursera.org/learn/comparch

r/cpudesign • post
1 points • O0I0O
Computer Architecture by David Wentzlaff In this course, you will learn to design the computer architecture of complex modern microprocessors.
r/WGU_CompSci • comment
1 points • AnarchySoda

This was how I passed...

https://www.coursera.org/learn/comparch

The Zybook wasn't hacking it.

r/intel • comment
1 points • FantasticPhenom

It's the number of instructions that pass through the processor.

And some of the biggest performance improving things, e.g. AVX, drastically reduce IPC because you end up doing something like 8x the work per instruction.

Please, go educate yourself before trying to "correct" others.

If you want a good start, this is free. It actually covers IPC in the earlier part of the course.

https://www.coursera.org/learn/comparch

r/OMSCS • post
3 points • travelandfood
Are these Decent Discrete Math and Computer Architecture Courses?

I am two semesters in, things are going well. I've taken "easier" courses, though (IIS and CN), and I'm taking the fall off of OMSCS to study some topics I lack experience with but think would be helpful for classes I want to take in OMSCS. So, this fall I want to study discrete math and computer architecture.

For discrete math, I've been eyeing this course: https://und.edu/academics/online/courses/math208.html

For computer architecture, this one looks good: https://www.coursera.org/learn/comparch

Does anyone have experience with either of these courses?

I'm excited about the discrete math one; it covers the topics I want to learn more about (most importantly, mathematical proofs) and seems to be geared well towards CS.

I'm less sure about the architecture course, and would prefer a relatively inexpensive online course from a college instead of Coursera, but I'll do Coursera if it's great.

r/hardware • comment
1 points • JWs_Pentium_G7700

http://www.lighterra.com/papers/modernmicroprocessors/

https://www.coursera.org/learn/comparch

r/Amd • comment
1 points • FantasticPhenom

I know a little bit. I don't know a lot. I learn about CPUs as a hobby. I know enough to hold an intelligent conversation with people who design CPUs for their careers but I have no idea HOW they do what they do.

two resources I found useful: http://www.lighterra.com/papers/modernmicroprocessors/ https://www.coursera.org/learn/comparch Neither will make you an expert on their own.


The tasks given to GPUs are embarrassingly parallel - think one big task broken into a billion pieces. GPUs are almost completely designed around handling embarrassingly parallel workloads.

Temporal multithreading is cheap (doesn't take many transistors to get it working, doesn't needs tons of electricity, etc.) and since the workload has a near infinity of threads, it's generally the way to go. The tradeoff is that it's high latency and if you don't have tons of threads your performance drops like a rock.

If you fed a GPU just one software thread, it would perform like a potato though.

r/intel • comment
1 points • JWs_Pentium_G7700

This is David Wentzlaff. He's one of the most cited professors on computer microarchitectures. https://www.linkedin.com/in/david-wentzlaff-9476b43

He is a fully tenured Associate Professor at Princeton with a PhD in in Electrical Engineering and Computer Computer from MIT, a National Science Foundation CAREER Award, DARPA Young Faculty Award, and a handful of honorifics.

He cofounded Tilera which he sold for $130,000,000. At this time its intellectual property (read: patents) is owned by nVidia.


David Wentzlaff, in the first week of his class on computer architecture roughly says "ISA doesn't really matter anymore as long as sensible decisions are being made". (it's amazing what modern compilers can do - with that said OTHER uarch factors do matter) I can get you the exact video link if you don't believe me, it's been a while since I took the class. I may or may not have taken it while attending Princeton. https://d396qusza40orc.cloudfront.net/comparch%2Fcomparch-002%2Flecture_slides%2FSD1_16ijTgPupY.pdf

https://www.coursera.org/learn/comparch/

Why should I listen to you instead of him?

What do you know that he doesn't?

r/learnprogramming • post
1 points • florpers
Nand2Tetris as a Computer Architecture/Operating Systems course replacement?

Hi - I'm an intermediate, self-taught developer (~4 years experience) that is taking MOOCs to build up my CS fundamentals. I've completed Harvard CS50 and Princeton Algorithms, so next up are courses for Computer Architecture and Operating Systems.

I'm seeing that people rave about Nand2Tetris and how you learn a ton by building everything from the ground up yourself. I have also read that the course is a shallow exploration of the high-level concepts.

While I think building a computer from the ground up would be incredibly useful for really understanding how things work under the hood, I don't want to miss out on learning the fleshed-out concepts, and how things are actually done. I'm taking these courses in general to become a better engineer in the long-term and fully understand how things work, so I don't want to cut any corners.

For reference, these are the Computer Architecture and Operating Systems courses I am considering: https://www.udacity.com/course/introduction-to-operating-systems--ud923 https://www.udacity.com/course/advanced-operating-systems--ud189

https://www.coursera.org/learn/comparch

r/OMSCS • comment
1 points • StatsML

There's also this for Architecture:
https://www.coursera.org/learn/comparch

&#x200B;

This one looks short (maybe too short):

https://www.coursera.org/learn/how-computers-work

r/intel • comment
1 points • JWs_Pentium_G7700

>Lol only evidence you personally approve of is allowed.

No. But I do expect you to have a rough understanding of what you're talking about before expressing an opinion. Ignorance is fine. Vociferous opinions based on ignorance is not.

Here's the TLDR for CPU architecture http://www.lighterra.com/papers/modernmicroprocessors/ it's a gentle 90 minute intro. I suspect you'll know some of the words but not most.

This is a relatively gentle intro class to CPU architecture.
https://www.coursera.org/learn/comparch

If you want some more "applied stuff" go read an optimization guide. This assumes you actually know how to write code. https://www.agner.org/forum/viewtopic.php?f=1&t=5

If all of this is "too hard" for you to wrap your head around, I suggest getting a proper STEM education and coming back in 4 years. Preferably at a place like MIT and not University of Phoenix.

>Sorry x86 is x86 no matter how much you don't want to agree with it.

ISA is NOT the be all end all to optimization. It's like... 1% of the CPU complexity if even that. If you're writing emulators or are working with limited transistor budgets it's a huge deal but outside of that... ehhh. Spoiler - we have 1 million times more transistors in CPUs than a few decades ago. https://www.extremetech.com/extreme/188396-the-final-isa-showdown-is-arm-x86-or-mips-intrinsically-more-power-efficient/3

Optimizing for an 8086 is RADICALLY different from optimizing for Bulldozer, and optimizing for Phi is RADICALLY different than optimizing for Sandy Bridge. There are cases where you'd make nearly the opposite design choice if you're writing an algorithm. I dare you to tell me that you'd write the EXACT same code to handle cache operations on SKL as you would an 8086.

>Somehow you think a more powerful CPU will get developers to do things right but the reality is that they will have no incentive to do better because they will always settle for good enough.

I think that devs are "lazy and time constrainted" (read: paid 150k a year for a 90 hour week when they could get 300k a year at Google for a 40 hour week with free food and toilets that literally clean their rears for them) and will use whatever tools are readily available. The people making game engines will however do things. Not that hard to call a library. With that said, broad-level design decisions WILL change (how many items on screen? how much complexity per item? what type of path finding?)

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 • 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

r/OMSCS • comment
1 points • jknasse2

>OMSCS

I reached out and have an undergrad in Math and Finance from UofH. I had just comp sci 1 and 2 along with advanced math courses, but don't know what they will allow me to substitute for certain prereq if any. I got the following response. Until they nail down the pre-req that will qualify for there program I am not going to willy nilly start taking these courses. I am planning to apply in Spring 2020, but thinking of applying in hopes of getting some type of conditional acceptance completing some defined prerequisite course work.

For me I don't think since I took comp sci 1 and 2 at my university and used java I don't think I need Intro to programming. I also think since I have a math degree and took discrete math for finance and more advanced coursework I shouldn't need Discrete Math for Computer Science. But, there is no way to know unless I apply and try to get conditionally accepted. I need to respond back and see if they are going to conditionally accept students given they complete some course work on edx or courseera.

&#x200B;

Thank you for your interest in the online masters program.  We understand that there are many excellent students who haven’t formal CS training and we've identified some online courses through edX and Coursera that could serve as prereqs.  Currently, some of our professors are going through the courses to make sure they actually will give non-CS students the knowledge to be successful in our masters program. Once we’ve compiled a list of courses, we’ll post them on the website and send an email.  

&#x200B;

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

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’ve attached the list of classes that we’ve identified in case you want to work through any of these.  Please let me know if you have any other questions and we’ll send more information very soon.