Emojis for MISC section done

README.md

@@ -253,67 +253,63 @@ Courses
 -------
 
 ### Misc
-- [CS 378](https://github.com/ut-cs378-vision-2014fall/course-info) **3D Reconstruction with Computer Vision** *UTexas*
+- [CS 378](https://github.com/ut-cs378-vision-2014fall/course-info) **3D Reconstruction with Computer Vision** *UTexas* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
   - In this lab-based class, we'll dive into practical applications of 3D reconstruction, combining hardware and software to build our own 3D environments from scratch. We'll use open-source frameworks like OpenCV to do the heavy lifting, with the focus on understanding and applying state-of-the art approaches to geometric computer vision 
   - [Lectures](https://github.com/ut-cs378-vision-2014fall/course-info/tree/master/meeting-notes)
-- [CS 5150](http://www.cs.cornell.edu/courses/CS5150/2014fa/overview.html) **Software Engineering** *Cornell University*
+- [CS 5150](http://www.cs.cornell.edu/courses/CS5150/2014fa/overview.html) **Software Engineering** *Cornell University* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4da.png" width="20" height="20" alt="Readings" />
   -  Introduction to the practical problems of specifying, designing, building, testing, and delivering reliable software systems
   - [Lectures](http://www.cs.cornell.edu/courses/CS5150/2014fa/materials.html)
-- [15-781](http://www.cs.cmu.edu/~tom/10701_sp11/) **Machine Learning** *Carnegie Mellon University*
+- [15-781](http://www.cs.cmu.edu/~tom/10701_sp11/) **Machine Learning** *Carnegie Mellon University* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4da.png" width="20" height="20" alt="Readings" />
   - Taught by one of the leading experts on Machine Learning - **Tom Mitchell**
   - [Lectures](http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml)
   - [Project Ideas and Datasets](http://www.cs.cmu.edu/~tom/10701_sp11/proj.shtml)
-- [ESM 296-4F](http://ucsb-bren.github.io/esm296-4f/) **GIS & Spatial Analysis** *UC Santa Barbara*
+- [ESM 296-4F](http://ucsb-bren.github.io/esm296-4f/) **GIS & Spatial Analysis** *UC Santa Barbara* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" /> 
   - Taught by [James Frew](http://www.bren.ucsb.edu/people/Faculty/james_frew.htm), [Ben Best](http://mgel.env.duke.edu/people/ben-best/), and [Lisa Wedding](http://www.centerforoceansolutions.org/team/lisa-wedding)
   - Focuses on specific computational languages (e.g., Python, R, shell) and tools (e.g., GDAL/OGR, InVEST, MGET, ModelBuilder) applied to the spatial analysis of environmental problems
   - [GitHub ](http://ucsb-bren.github.io/esm296-4f/) (includes lecture materials and labs)
-- [CSE154](http://courses.cs.washington.edu/courses/cse154/14au/) **Web Programming** *University of Washington*
+- [CSE154](http://courses.cs.washington.edu/courses/cse154/14au/) **Web Programming** *University of Washington* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" /> 
   - This course is an introduction to programming for the World Wide Web. Covers use of HTML, CSS, PHP, JavaScript, AJAX, and SQL.
   - [Lectures](http://courses.cs.washington.edu/courses/cse154/14au/lectures.shtml#today)
   - [Assignments](http://courses.cs.washington.edu/courses/cse154/14au/homework.shtml)
-- [IGME-582](http://hfoss-fossrit.rhcloud.com) **Humanitarian Free & Open Source Software Development** *Rochester Institute of Technology*
+- [IGME-582](http://hfoss-fossrit.rhcloud.com) **Humanitarian Free & Open Source Software Development** *Rochester Institute of Technology* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
   - This course provides students with exposure to the design, creation and production of Open Source Software projects. Students will be introduced to the historic intersections of technology and intellectual property rights and will become familiar with Open Source development processes, tools and practices. 
-- [IGME-585](http://advfoss-ritigm.rhcloud.com) **Advanced Project Based Free & Open Source Software Development** *Rochester Institute of Technology*
-  - A project based course where students develop 3 tightly scoped open source projects for the Raspberry Pi.
-- [CS223A](http://see.stanford.edu/see/courseinfo.aspx?coll=86cc8662-f6e4-43c3-a1be-b30d1d179743) **Introduction to Robotics** *Stanford University*
+- [CS223A](http://see.stanford.edu/see/courseinfo.aspx?coll=86cc8662-f6e4-43c3-a1be-b30d1d179743) **Introduction to Robotics** *Stanford University* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4f9.png" width="20" height="20" alt="Lecture Videos" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
   - The purpose of this course is to introduce you to basics of modeling, design, planning, and control of robot systems. In essence, the material treated in this course is a brief survey of relevant results from geometry, kinematics, statics, dynamics, and control.
   - [Lectures](http://see.stanford.edu/see/lecturelist.aspx?coll=86cc8662-f6e4-43c3-a1be-b30d1d179743)
   - [Assignments](http://see.stanford.edu/see/materials/aiircs223a/assignments.aspx)
-- [CIS 581](https://alliance.seas.upenn.edu/~cis581/wiki/index.php?title=CIS_581:_Computer_Vision_%26_Computational_Photography) **Computer Vision and Computational Photography** *University of Pennsylvania*
+- [CIS 581](https://alliance.seas.upenn.edu/~cis581/wiki/index.php?title=CIS_581:_Computer_Vision_%26_Computational_Photography) **Computer Vision and Computational Photography** *University of Pennsylvania* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
   - An introductory course in computer vision and computational photography focusing on four topics: image features, image morphing, shape matching, and image search.
   - [Lectures](https://alliance.seas.upenn.edu/~cis581/wiki/index.php?title=Schedule)
   - [Assignments](https://alliance.seas.upenn.edu/~cis581/wiki/index.php?title=Projects)
-- [EECS 588](https://www.eecs.umich.edu/courses/eecs588/) **Computer & Network Security** *University of Michigan*
+- [EECS 588](https://www.eecs.umich.edu/courses/eecs588/) **Computer & Network Security** *University of Michigan* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4da.png" width="20" height="20" alt="Readings" />
   - Taught by [J. Alex Halderman](https://jhalderm.com/) who has analyzed the security of Electronic Voting Machines in the [US](https://jhalderm.com/pub/papers/dcvoting-fc12.pdf) and [over](https://jhalderm.com/pub/papers/ivoting-ccs14.pdf) [seas](https://jhalderm.com/pub/papers/evm-ccs10.pdf).
   - This intensive research seminar covers foundational work and current topics in computer systems security.
   - [Readings](https://www.eecs.umich.edu/courses/eecs588/readings.html)
-- [ICS 314](http://philipmjohnson.github.io/ics314f13/) **Software Engineering** *University of Hawaii*
+- [ICS 314](http://philipmjohnson.github.io/ics314f13/) **Software Engineering** *University of Hawaii*  <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4da.png" width="20" height="20" alt="Readings" />
   - Taught by [Philip Johnson](http://philipmjohnson.org/)
   - Introduction to software engineering using the ["Athletic Software Engineering" pedagogy](http://philipmjohnson.org/2013/12/16/athletic-software-engineering-education-initial-results/)
-  - [Modules](http://philipmjohnson.github.io/ics314f13/modules/)
-  - [Learning outcomes](http://philipmjohnson.github.io/ics314f13/outcomes/)
   - [Readings](http://philipmjohnson.github.io/ics314f13/readings/)
   - [Experiences](http://philipmjohnson.github.io/ics314f13/experiences/)
   - [Assessments](http://philipmjohnson.github.io/ics314f13/assessments/)
-- [COMS 4771](http://www.cs.columbia.edu/~jebara/4771/index.html) **Machine Learning** *Columbia University*
+- [COMS 4771](http://www.cs.columbia.edu/~jebara/4771/index.html) **Machine Learning** *Columbia University* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
   - Course taught by [Tony Jebara](http://www.cs.columbia.edu/~jebara/resume.html) introduces topics in Machine Learning for both generative and discriminative estimation. Material will include least squares methods, Gaussian distributions, linear classification, linear regression, maximum likelihood, exponential family distributions, Bayesian networks, Bayesian inference, mixture models, the EM algorithm, graphical models, hidden Markov models, support vector machines, and kernel methods.
   - [Lectures and Assignments](http://www.cs.columbia.edu/~jebara/4771/handouts.html)
-- [CS 75](http://ocw.tufts.edu/Course/75)  **Introduction to Game Development** *Tufts University*
+- [CS 75](http://ocw.tufts.edu/Course/75)  **Introduction to Game Development** *Tufts University* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
   - The course taught by [Ming Y. Chow](http://mchow01.github.io) teaches game development initially in PyGame through Python, before moving on to addressing all facets of game development. Topics addressed include game pysics, sprites, animation, game development methodology, sound, testing, MMORPGs and online games, and addressing mobile development in Android, HTML5, and iOS. Most to all of the development is focused on PyGame for learning principles
   - [Text Lectures](http://ocw.tufts.edu/Course/75/Learningunits)
   - [Assignments](http://ocw.tufts.edu/Course/75/Assignments)
   - [Labs](http://ocw.tufts.edu/Course/75/Labs)
-- [CIS4930 / CIS5930](http://www.cs.fsu.edu/~redwood/OffensiveComputerSecurity/) **Offensive Computer Security** *Florida State University*
+- [CIS4930 / CIS5930](http://www.cs.fsu.edu/~redwood/OffensiveComputerSecurity/) **Offensive Computer Security** *Florida State University* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4f9.png" width="20" height="20" alt="Lecture Videos" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
   - Course taught by [W. Owen Redwood](http://ww2.cs.fsu.edu/~redwood/) and [Xiuwen Liu](http://www.cs.fsu.edu/~liux/). It covers a wide range of computer security topics, starting from Secure C Coding and Reverse Engineering to Penetration Testing, Exploitation and Web Application Hacking, both from the defensive and the offensive point of view.
   - [Lectures and Videos](http://www.cs.fsu.edu/~redwood/OffensiveComputerSecurity/lectures.html)
   - [Assignments](http://www.cs.fsu.edu/~redwood/OffensiveComputerSecurity/assignments.html)
-- [11-785](http://deeplearning.cs.cmu.edu/) **Deep Learning** *Carnegie Mellon University*
+- [11-785](http://deeplearning.cs.cmu.edu/) **Deep Learning** *Carnegie Mellon University* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4da.png" width="20" height="20" alt="Readings" />
   - The course presents the subject through a series of seminars and labs, which will explore it from its early beginnings, and work themselves to some of the state of the art. The seminars will cover the basics of deep learning and the underlying theory, as well as the breadth of application areas to which it has been applied, as well as the latest issues on learning from very large amounts of data. We will concentrate largely, although not entirely, on the connectionist architectures that are most commonly associated with it. *Lectures* and *Reading Notes* are available on the page.
-- [I485 / H400](http://www.informatics.indiana.edu/rocha/i-bic/) **Biologically Inspired Computation** *Indiana University*
+- [I485 / H400](http://www.informatics.indiana.edu/rocha/i-bic/) **Biologically Inspired Computation** *Indiana University* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
   - Course taught by [Luis Rocha](http://www.informatics.indiana.edu/rocha/lr_form.html) about the multi-disciplinary field algorithms insired by naturally occurring phenomenon. This course provides introduces the following areas: L-systems, Cellular Automata, Emergence, Genetic Algorithms, Swarm Intelligence and Artificial Immune Systems. It's aim is to cover the fundamentals and enable readers to build up a proficiency in applying various algorithms to real-world problems.
   - [Lectures](http://www.informatics.indiana.edu/rocha/i-bic/#materials)
   - [Assignments](http://www.informatics.indiana.edu/rocha/i-bic/#labs)
-- [CS100](https://github.com/mikeizbicki/ucr-cs100) **Open Source Software Construction** *UC Riverside*
+- [CS100](https://github.com/mikeizbicki/ucr-cs100) **Open Source Software Construction** *UC Riverside* <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4bb.png" width="20" height="20" alt="Assignments" /> <img src="https://assets-cdn.github.com/images/icons/emoji/unicode/1f4dd.png" width="20" height="20" alt="Lecture Notes" />
   - This is a course on how to be a hacker. Your first four homework assignments walk you through the process of building your own unix shell. You'll be developing it as an open source project, and you will collaborate with each other at various points.
   - [Github Page](https://github.com/mikeizbicki/ucr-cs100)
   - [Assignments](https://github.com/mikeizbicki/ucr-cs100/tree/2015winter/assignments)