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    33 <H2>2015/16 BSc Projects</H2>
       
    34 <H4>Supervisor: Christian Urban</H4> 
       
    35 <H4>Email: christian dot urban at kcl dot ac dot uk,  Office: Strand Building S1.27</H4>
       
    36 <H4>If you are interested in a project, please send me an email and we can discuss details. Please include
       
    37 a short description about your programming skills and Computer Science background in your first email. 
       
    38 I will also need your King's username in order to book the project for you. Thanks.</H4> 
       
    39 
       
    40 <H4>Note that besides being a lecturer at the theoretical end of Computer Science, I am also a passionate
       
    41     <A HREF="http://en.wikipedia.org/wiki/Hacker_(programmer_subculture)">hacker</A> &hellip;
       
    42     defined as &ldquo;a person who enjoys exploring the details of programmable systems and 
       
    43     stretching their capabilities, as opposed to most users, who prefer to learn only the minimum 
       
    44     necessary.&rdquo; I am always happy to supervise like-minded students.
       
    45 
       
    46     <p>In 2013/14, I was nominated by the students
       
    47     for the best BSc project supervisor and best MSc project supervisor awards in the NMS
       
    48     faculty. Somehow I won both. In 2014/15 I was nominated again for the best MSc
       
    49     project suporvisor, but did not win it. ;o)</H4>  
       
    50 
       
    51 <ul class="striped">
       
    52 <li> <H4>[CU1] Regular Expression Matching, Lexing and Derivatives</H4>
       
    53 
       
    54   <p>
       
    55   <B>Description:</b>  
       
    56   <A HREF="http://en.wikipedia.org/wiki/Regular_expression">Regular expressions</A> 
       
    57   are extremely useful for many text-processing tasks, such as finding patterns in texts,
       
    58   lexing programs, syntax highlighting and so on. Given that regular expressions were
       
    59   introduced in 1950 by <A HREF="http://en.wikipedia.org/wiki/Stephen_Cole_Kleene">Stephen Kleene</A>,
       
    60   you might think regular expressions have since been studied and implemented to death. But you would definitely be
       
    61   mistaken: in fact they are still an active research area. For example
       
    62   <A HREF="http://www.home.hs-karlsruhe.de/~suma0002/publications/regex-parsing-derivatives.pdf">this paper</A> 
       
    63   about regular expression matching and derivatives was presented just last summer at the international 
       
    64   FLOPS'14 conference. The task in this project is to implement their results and use them for lexing.</p>
       
    65 
       
    66   <p>The background for this project is that some regular expressions are 
       
    67   &ldquo;<A HREF="http://en.wikipedia.org/wiki/ReDoS#Examples">evil</A>&rdquo;
       
    68   and can &ldquo;stab you in the back&rdquo; according to
       
    69   this <A HREF="http://peterscott.github.io/2013/01/17/regular-expressions-will-stab-you-in-the-back/">blog post</A>.
       
    70   For example, if you use in <A HREF="http://www.python.org">Python</A> or 
       
    71   in <A HREF="http://www.ruby-lang.org/en/">Ruby</A> (or also in a number of other mainstream programming languages according to this
       
    72   <A HREF="http://www.computerbytesman.com/redos/">blog</A>) the 
       
    73   innocently looking regular expression <code>a?{28}a{28}</code> and match it, say, against the string 
       
    74   <code>aaaaaaaaaaaaaaaaaaaaaaaaaaaa</code> (that is 28 <code>a</code>s), you will soon notice that your CPU usage goes to 100%. In fact,
       
    75   Python and Ruby need approximately 30 seconds of hard work for matching this string. You can try it for yourself:
       
    76   <A HREF="http://www.dcs.kcl.ac.uk/staff/urbanc/cgi-bin/repos.cgi/afl-material/raw-file/tip/progs/re.py">re.py</A> (Python version) and 
       
    77   <A HREF="http://www.dcs.kcl.ac.uk/staff/urbanc/cgi-bin/repos.cgi/afl-material/raw-file/tip/progs/re.rb">re.rb</A> 
       
    78   (Ruby version). You can imagine an attacker
       
    79   mounting a nice <A HREF="http://en.wikipedia.org/wiki/Denial-of-service_attack">DoS attack</A> against 
       
    80   your program if it contains such an &ldquo;evil&rdquo; regular expression. Actually 
       
    81   <A HREF="http://www.scala-lang.org/">Scala</A> (and also Java) are almost immune from such
       
    82   attacks as they can deal with strings of up to 4,300 <code>a</code>s in less than a second. But if you scale
       
    83   the regular expression and string further to, say, 4,600 <code>a</code>s, then you get a <code>StackOverflowError</code> 
       
    84   potentially crashing your program. Moreover (beside the "minor" problem of being painfully slow) according to this
       
    85   <A HREF="http://www.haskell.org/haskellwiki/Regex_Posix">report</A>
       
    86   nearly all POSIX regular expression matchers are actually buggy.
       
    87   </p>
       
    88 
       
    89   <p>
       
    90   On a rainy afternoon, I implemented 
       
    91   <A HREF="http://www.dcs.kcl.ac.uk/staff/urbanc/cgi-bin/repos.cgi/afl-material/raw-file/tip/progs/re3.scala">this</A> 
       
    92   regular expression matcher in Scala. It is not as fast as the official one in Scala, but
       
    93   it can match up to 11,000 <code>a</code>s in less than 5 seconds  without raising any exception
       
    94   (remember Python and Ruby both need nearly 30 seconds to process 28(!) <code>a</code>s, and Scala's
       
    95   official matcher maxes out at 4,600 <code>a</code>s). My matcher is approximately
       
    96   85 lines of code and based on the concept of 
       
    97   <A HREF="http://lambda-the-ultimate.org/node/2293">derivatives of regular expressions</A>.
       
    98   These derivatives were introduced in 1964 by <A HREF="http://en.wikipedia.org/wiki/Janusz_Brzozowski_(computer_scientist)">
       
    99   Janusz Brzozowski</A>, but according to this
       
   100   <A HREF="http://www.cl.cam.ac.uk/~so294/documents/jfp09.pdf">paper</A> had been lost in the &ldquo;sands of time&rdquo;.
       
   101   The advantage of derivatives is that they side-step completely the usual 
       
   102   <A HREF="http://hackingoff.com/compilers/regular-expression-to-nfa-dfa">translations</A> of regular expressions
       
   103   into NFAs or DFAs, which can introduce the exponential behaviour exhibited by the regular
       
   104   expression matchers in Python and Ruby.
       
   105   </p>
       
   106 
       
   107   <p>
       
   108   Now the authors from the 
       
   109   <A HREF="http://www.home.hs-karlsruhe.de/~suma0002/publications/regex-parsing-derivatives.pdf">FLOPS'14-paper</A> mentioned 
       
   110   above claim they are even faster than me and can deal with even more features of regular expressions
       
   111   (for example subexpression matching, which my rainy-afternoon matcher cannot). I am sure they thought
       
   112   about the problem much longer than a single afternoon. The task 
       
   113   in this project is to find out how good they actually are by implementing the results from their paper. 
       
   114   Their approach to regular expression matching is also based on the concept of derivatives.
       
   115   I used derivatives very successfully once for something completely different in a
       
   116   <A HREF="http://www.inf.kcl.ac.uk/staff/urbanc/Publications/rexp.pdf">paper</A> 
       
   117   about the <A HREF="http://en.wikipedia.org/wiki/Myhill–Nerode_theorem">Myhill-Nerode theorem</A>.
       
   118   So I know they are worth their money. Still, it would be interesting to actually compare their results
       
   119   with my simple rainy-afternoon matcher and potentially &ldquo;blow away&rdquo; the regular expression matchers 
       
   120   in Python and Ruby (and possibly in Scala too). The application would be to implement a fast lexer for
       
   121   programming languages. 
       
   122   </p>
       
   123 
       
   124   <p>
       
   125   <B>Literature:</B> 
       
   126   The place to start with this project is obviously this
       
   127   <A HREF="http://www.home.hs-karlsruhe.de/~suma0002/publications/ppdp12-part-deriv-sub-match.pdf">paper</A>.
       
   128   Traditional methods for regular expression matching are explained
       
   129   in the Wikipedia articles 
       
   130   <A HREF="http://en.wikipedia.org/wiki/DFA_minimization">here</A> and 
       
   131   <A HREF="http://en.wikipedia.org/wiki/Powerset_construction">here</A>.
       
   132   The authoritative <A HREF="http://infolab.stanford.edu/~ullman/ialc.html">book</A>
       
   133   on automata and regular expressions is by John Hopcroft and Jeffrey Ullmann (available in the library). 
       
   134   There is also an online course about this topic by Ullman at 
       
   135   <A HREF="https://www.coursera.org/course/automata">Coursera</A>, though IMHO not 
       
   136   done with love. 
       
   137   Finally, there are millions of other pointers about regular expression
       
   138   matching on the Web. I found the chapter on Lexing in this
       
   139   <A HREF="http://www.diku.dk/~torbenm/Basics/">online book</A> very helpful.
       
   140   Test cases for &ldquo;<A HREF="http://en.wikipedia.org/wiki/ReDoS#Examples">evil</A>&rdquo;
       
   141   regular expressions can be obtained from <A HREF="http://www.haskell.org/haskellwiki/Regex_Posix">here</A>.
       
   142   
       
   143   </p>
       
   144 
       
   145   <p>
       
   146   <B>Skills:</B> 
       
   147   This is a project for a student with an interest in theory and some
       
   148   good programming skills. The project can be easily implemented
       
   149   in functional languages like
       
   150   <A HREF="http://www.scala-lang.org/">Scala</A>,
       
   151   F#, 
       
   152   <A HREF="http://en.wikipedia.org/wiki/Standard_ML">ML</A>,  
       
   153   <A HREF="http://haskell.org/haskellwiki/Haskell">Haskell</A>, etc. Python and other non-functional languages
       
   154   can be also used, but seem much less convenient. If you attend my Formal Languages and
       
   155   Automata module, that would obviously give you a head-start with this project.
       
   156   </p>
       
   157   
       
   158 <li> <H4>[CU2] A Compiler for a small Programming Language</H4>
       
   159 
       
   160   <p>
       
   161   <b>Description:</b> 
       
   162   Compilers translate high-level programs that humans can read and write into
       
   163   efficient machine code that can be run on a CPU or virtual machine.
       
   164   A compiler for a simple functional language generating X86 code is described
       
   165   <A HREF="https://github.com/chameco/Shade">here</A>.
       
   166   I recently implemented a very simple compiler for an even simpler functional
       
   167   programming language following this 
       
   168   <A HREF="https://www.cs.princeton.edu/~dpw/papers/tal-toplas.pdf">paper</A> 
       
   169   (also described <A HREF="https://www.cs.princeton.edu/~dpw/papers/tal-tr.pdf">here</A>).
       
   170   My code, written in <A HREF="http://www.scala-lang.org/">Scala</A>, of this compiler is 
       
   171   <A HREF="http://www.dcs.kcl.ac.uk/staff/urbanc/compiler.scala">here</A>.
       
   172   The compiler can deal with simple programs involving natural numbers, such
       
   173   as Fibonacci numbers or factorial (but it can be easily extended - that is not the point).
       
   174   </p>
       
   175 
       
   176   <p>
       
   177   While the hard work has been done (understanding the two papers above),
       
   178   my compiler only produces some idealised machine code. For example I
       
   179   assume there are infinitely many registers. The goal of this
       
   180   project is to generate machine code that is more realistic and can
       
   181   run on a CPU, like X86, or run on a virtual machine, say the JVM. 
       
   182   This gives probably a speedup of thousand times in comparison to
       
   183   my naive machine code and virtual machine. The project
       
   184   requires to dig into the literature about real CPUs and generating 
       
   185   real machine code. 
       
   186   </p>
       
   187   <p>
       
   188   An alternative is to not generate machine code, but build a compiler that compiles to
       
   189   <A HREF="http://www.w3schools.com/js/">JavaScript</A>. This is the language that is supported by most
       
   190   browsers and therefore is a favourite
       
   191   vehicle for Web-programming. Some call it <B>the</B> scripting language of the Web.
       
   192   Unfortunately, JavaScript is also probably one of the worst
       
   193   languages to program in (being designed and released in a hurry). <B>But</B> it can be used as a convenient target
       
   194   for translating programs from other languages. In particular there are two
       
   195   very optimised subsets of JavaScript that can be used for this purpose:
       
   196   one is <A HREF="http://asmjs.org">asm.js</A> and the other is
       
   197   <A HREF="https://github.com/kripken/emscripten/wiki">emscripten</A>.
       
   198   There is a <A HREF="http://kripken.github.io/emscripten-site/docs/getting_started/Tutorial.html">tutorial</A> for emscripten
       
   199   and an impressive <A HREF="http://www.unrealengine.com/html5/">demo</A> which runs the
       
   200   <A HREF="http://en.wikipedia.org/wiki/Unreal_Engine">Unreal Engine 3</A>
       
   201   in a browser with spectacular speed. This was achieved by compiling the
       
   202   C-code of the Unreal Engine to the LLVM intermediate language and then translating the LLVM
       
   203   code to JavaScript.
       
   204   </p>
       
   205 
       
   206   <p>
       
   207   <B>Literature:</B>
       
   208   There is a lot of literature about compilers 
       
   209   (for example <A HREF="http://www.cs.princeton.edu/~appel/papers/cwc.html">this book</A> -
       
   210   I can lend you my copy for the duration of the project, or this
       
   211   <A HREF="http://www.diku.dk/~torbenm/Basics/">online book</A>). A very good overview article
       
   212   about implementing compilers by 
       
   213   <A HREF="http://tratt.net/laurie/">Laurie Tratt</A> is 
       
   214   <A HREF="http://tratt.net/laurie/tech_articles/articles/how_difficult_is_it_to_write_a_compiler">here</A>.
       
   215   An online book about the Art of Assembly Language is
       
   216   <A HREF="http://flint.cs.yale.edu/cs422/doc/art-of-asm/pdf/">here</A>.
       
   217   An introduction into x86 machine code is <A HREF="http://ianseyler.github.com/easy_x86-64/">here</A>.
       
   218   Intel's official manual for the x86 instruction is 
       
   219   <A HREF="http://download.intel.com/design/intarch/manuals/24319101.pdf">here</A>. 
       
   220   A simple assembler for the JVM is described <A HREF="http://jasmin.sourceforge.net">here</A>.
       
   221   An interesting twist of this project is to not generate code for a CPU, but
       
   222   for the intermediate language of the <A HREF="http://llvm.org">LLVM</A> compiler
       
   223   (also described <A HREF="http://llvm.org/docs/LangRef.html">here</A>). If you want to see
       
   224   what machine code looks like you can compile your C-program using gcc -S.
       
   225   </p>
       
   226   <p>
       
   227   If JavaScript is chosen as a target instead, then there are plenty of <A HREF="http://www.w3schools.com/js/">tutorials</A> on the Web.
       
   228   <A HREF="http://jsbooks.revolunet.com">Here</A> is a list of free books on JavaScript.
       
   229   A project from which you can draw inspiration is this
       
   230   <A HREF="http://jlongster.com/2012/01/04/outlet-my-lisp-to-javascript-experiment.html">List-to-JavaScript</A>
       
   231   translator. <A HREF="https://bitbucket.org/ktg/parenjs/overview">Here</A> is another such project.
       
   232   And <A HREF="https://github.com/viclib/liscript">another</A> in less than 100 lines of code.
       
   233   <A HREF="http://en.wikipedia.org/wiki/CoffeeScript">Coffeescript</A> is a similar project
       
   234   except that it is already quite <A HREF="http://coffeescript.org">mature</A>. And finally not to
       
   235   forget <A HREF="http://www.typescriptlang.org">TypeScript</A> developed by Microsoft. The main
       
   236   difference between these projects and this one is that they translate into relatively high-level
       
   237   JavaScript code; none of them use the much lower levels <A HREF="http://asmjs.org">asm.js</A> and 
       
   238   <A HREF="https://github.com/kripken/emscripten/wiki">emscripten</A>.
       
   239   </p>
       
   240   <p>
       
   241   <B>Skills:</B> 
       
   242   This is a project for a student with a deep interest in programming languages and
       
   243   compilers. Since my compiler is implemented in <A HREF="http://www.scala-lang.org/">Scala</A>,
       
   244   it would make sense to continue this project in this language. I can be
       
   245   of help with questions and books about <A HREF="http://www.scala-lang.org/">Scala</A>.
       
   246   But if Scala is a problem, my code can also be translated quickly into any other functional
       
   247   language. 
       
   248   </p>
       
   249 
       
   250   <p>
       
   251   <B>PS:</B> Compiler projects consistently received high marks in the past.
       
   252   I have suprvised five so far and none of them received a mark below 70% - one even was awarded a prize.
       
   253   </p>
       
   254 
       
   255 <li> <H4>[CU3] Slide-Making in the Web-Age</H4>
       
   256 
       
   257   <p>
       
   258   The standard technology for writing scientific papers in Computer Science  is to use
       
   259   <A HREF="http://en.wikipedia.org/wiki/LaTeX">LaTeX</A>, a document preparation
       
   260   system originally implemented by <A HREF="http://en.wikipedia.org/wiki/Donald_Knuth">Donald Knuth</A>
       
   261   and <A HREF="http://en.wikipedia.org/wiki/Leslie_Lamport">Leslie Lamport</A>.
       
   262   LaTeX produces very pleasantly looking documents, can deal nicely with mathematical
       
   263   formulas and is very flexible. If you are interested, <A HREF="http://openwetware.org/wiki/Word_vs._LaTeX">here</A>
       
   264   is a side-by-side comparison between Word and LaTeX (which LaTeX &ldquo;wins&rdquo; with 18 out of 21 points).
       
   265   Computer scientists not only use LaTeX for documents,
       
   266   but also for slides (really, nobody who wants to be cool uses Keynote or Powerpoint).
       
   267   </p>
       
   268 
       
   269   <p>
       
   270   Although used widely, LaTeX seems nowadays a bit dated for producing
       
   271   slides. Unlike documents, which are typically &ldquo;static&rdquo; and published in a book or journal,
       
   272   slides often contain changing contents that might first only be partially visible and
       
   273   only later be revealed as the &ldquo;story&rdquo; of a talk or lecture demands.
       
   274   Also slides often contain animated algorithms where each state in the
       
   275   calculation is best explained by highlighting the changing data.
       
   276   </p>
       
   277 
       
   278   <p>
       
   279   It seems HTML and JavaScript are much better suited for generating
       
   280   such animated slides. This <A HREF="http://www.impressivewebs.com/html-slidedeck-toolkits/">page</A>
       
   281   links to 22 slide-generating programs using this combination of technologies. 
       
   282   However, the problem with all of these project is that they depend heavily on the users being
       
   283   able to write JavaScript, CCS or HTML...not something one would like to depend on given that
       
   284   &ldquo;normal&rdquo; users likely only have a LaTeX background. The aim of this project is to invent a
       
   285   very simple language that is inspired by LaTeX and then generate from code written in this language
       
   286   slides that can be displayed in a web-browser.
       
   287   </p>
       
   288 
       
   289  <p>
       
   290  This sounds complicated, but there is already some help available:
       
   291  <A HREF="http://www.mathjax.org">Mathjax</A> is a JavaScript library that can
       
   292  be used to display mathematical text, for example
       
   293 
       
   294  <blockquote>
       
   295  <p>When \(a \ne 0\), there are two solutions to \(ax^2 + bx + c = 0\) and they are
       
   296  \(x = {-b \pm \sqrt{b^2-4ac} \over 2a}\).</p>
       
   297  </blockquote>
       
   298 
       
   299  by writing code in the familiar LaTeX-way. This can be reused.
       
   300  Another such library is <A HREF="http://khan.github.io/KaTeX/">KaTeX</A>.
       
   301  There are also plenty of JavaScript
       
   302  libraries for graphical animations (for example
       
   303  <A HREF="http://raphaeljs.com">Raphael</A>,
       
   304  <A HREF="http://svgjs.com">SVG.JS</A>,
       
   305  <A HREF="http://bonsaijs.org">Bonsaijs</A>,
       
   306  <A HREF="http://jsxgraph.uni-bayreuth.de/wp/">JSXGraph</A>). The inspiration for how the user should be able to write
       
   307  slides could come from the LaTeX packages <A HREF="http://en.wikipedia.org/wiki/Beamer_(LaTeX)">Beamer</A>
       
   308  and <A HREF="http://en.wikipedia.org/wiki/PGF/TikZ">PGF/TikZ</A>. A slide-making project from which
       
   309  inspiration can be drawn is <A HREF="http://maciejczyzewski.me/hyhyhy/">hyhyhy</A>.
       
   310  </p>
       
   311 
       
   312   <p>
       
   313   <B>Skills:</B> 
       
   314   This is a project that requires good knowledge of JavaScript. You need to be able to
       
   315   parse a language and translate it to a suitable part of JavaScript using
       
   316   appropriate libraries. Tutorials for JavaScript are <A HREF="http://www.w3schools.com/js/">here</A>.
       
   317   A parser generator for JavaScript is <A HREF="http://pegjs.majda.cz">here</A>. There are probably also
       
   318   others. If you want to avoid JavaScript there are a number of alternatives: for example the
       
   319   <A HREF="http://elm-lang.org">Elm</A>
       
   320   language has been especially designed for implementing with ease interactive animations, which would be
       
   321   very convenient for this project.
       
   322   </p>
       
   323 
       
   324 <li> <H4>[CU4] An Online Student Voting System</H4>
       
   325 
       
   326   <p>
       
   327   <B>Description:</B>
       
   328   One of the more annoying aspects of giving a lecture is to ask a question
       
   329   to the students and no matter how easy the question is to not 
       
   330   receive any answer. The online course system 
       
   331   <A HREF="http://www.udacity.com">Udacity</A>, in contrast, made an art out of
       
   332   asking questions during lectures (see for example the
       
   333   <A HREF="http://www.udacity.com/overview/Course/cs253/CourseRev/apr2012">Web Application Engineering</A> 
       
   334   course CS253).
       
   335   The lecturer there gives multiple-choice questions as part of the lecture and the students need to 
       
   336   click on the appropriate answer. This works very well in the online world. 
       
   337   For  &ldquo;real-world&rdquo; lectures, the department has some 
       
   338   <A HREF="http://en.wikipedia.org/wiki/Audience_response">clickers</A>
       
   339   (these are little devices which form a part of an audience response systems). However, 
       
   340   they are a logistic nightmare for the lecturer: they need to be distributed 
       
   341   during the lecture and collected at the end. Nowadays, where students
       
   342   come with their own laptop or smartphone to lectures, this can
       
   343   be improved.
       
   344   </p>
       
   345 
       
   346   <p>
       
   347   The task of this project is to implement an online student
       
   348   polling system. The lecturer should be able to prepare 
       
   349   questions beforehand (encoded as some web-form) and be able to 
       
   350   show them during the lecture. The students
       
   351   can give their answers by clicking on the corresponding webpage.
       
   352   The lecturer can then collect the responses online and evaluate them 
       
   353   immediately. Such a system is sometimes called
       
   354   <A HREF="http://en.wikipedia.org/wiki/Audience_response#Smartphone_.2F_HTTP_voting">HTML voting</A>. 
       
   355   There are a number of commercial
       
   356   solutions for this problem, but they are not easy to use (in addition
       
   357   to being ridiculously expensive). A good student can easily improve upon
       
   358   what they provide. 
       
   359   </p>
       
   360 
       
   361   <p>
       
   362   The problem of student polling is not as hard as 
       
   363   <A HREF="http://en.wikipedia.org/wiki/Electronic_voting">electronic voting</A>, 
       
   364   which essentially is still an unsolved problem in Computer Science. The
       
   365   students only need to be prevented from answering question more than once thus skewing
       
   366   any statistics. Unlike electronic voting, no audit trail needs to be kept
       
   367   for student polling. Restricting the number of answers can probably be solved 
       
   368   by setting appropriate cookies on the students
       
   369   computers or smart phones.
       
   370   </p>
       
   371 
       
   372   <p>
       
   373   <B>Literature:</B> 
       
   374   The project requires fluency in a web-programming language (for example 
       
   375   <A HREF="http://en.wikipedia.org/wiki/JavaScript">JavaScript</A>,
       
   376   <A HREF="http://en.wikipedia.org/wiki/Go_(programming_language)">Go</A>, 
       
   377   <A HREF="http://www.scala-lang.org/">Scala</A>). However JavaScript with
       
   378   the <A HREF="http://nodejs.org">Node.js</A> extension seems to be best suited for the job.
       
   379   <A HREF="http://www.nodebeginner.org">Here</A> is a tutorial on Node.js for beginners.
       
   380   For web-programming the 
       
   381   <A HREF="http://www.udacity.com/overview/Course/cs253/CourseRev/apr2012">Web Application Engineering</A>
       
   382   course at <A HREF="http://www.udacity.com">Udacity</A> is a good starting point 
       
   383   to be aware of the issues involved. This course uses <A HREF="http://www.python.org">Python</A>.
       
   384   To evaluate the answers from the students, Google's 
       
   385   <A HREF="https://developers.google.com/chart/image/docs/making_charts">Chart Tools</A>
       
   386   might be useful, which is also described in this 
       
   387   <A HREF="http://www.youtube.com/watch?v=NZtgT4jgnE8">youtube</A> video.
       
   388   </p>
       
   389 
       
   390   <p>
       
   391   <B>Skills:</B> 
       
   392   In order to provide convenience for the lecturer, this project needs very good web-programming skills. A  
       
   393   <A HREF="http://en.wikipedia.org/wiki/Hacker_(programmer_subculture)">hacker mentality</A>
       
   394   (see above) is probably also very beneficial: web-programming is an area that only emerged recently and
       
   395   many tools still lack maturity. You probably have to experiment a lot with several different
       
   396   languages and tools.
       
   397   </p>
       
   398 
       
   399 <li> <H4>[CU5] Raspberry Pi's and Arduinos</H4>
       
   400 
       
   401   <p>
       
   402   <B>Description:</B>
       
   403   This project is for true hackers! <A HREF="http://en.wikipedia.org/wiki/Raspberry_Pi">Raspberry Pi's</A>
       
   404   are small Linux computers the size of a credit-card and only cost &pound;26 (see picture on the left below). They were introduced
       
   405   in 2012 and people went crazy...well some of them. There is a
       
   406   <A HREF="https://plus.google.com/communities/113390432655174294208?hl=en">Google+</A> community about Raspberry Pi's that has more
       
   407   than 177k of followers. It is hard to keep up with what people do with these small computers. The possibilities
       
   408   seem to be limitless. The main resource for Raspberry Pi's is <A HREF="http://www.raspberrypi.org">here</A>.
       
   409   There are <A HREF="https://www.raspberrypi.org/magpi/">magazines</A> dedicated to them and tons of
       
   410   <A HREF="http://www.raspberrypi.org/phpBB3/viewforum.php?f=39">books</A> (not to mention
       
   411   floods of <A HREF="https://www.google.co.uk/search?q=raspberry+pi">online</A> material,
       
   412   such as the <A HREF="https://www.raspberrypi.org/magpi-issues/Projects_Book_v1.pdf">RPi projects book</A>).
       
   413   Google just released a
       
   414   <A HREF="http://googlecreativelab.github.io/coder/">framework</A>
       
   415   for web-programming on Raspberry Pi's truning them into webservers.
       
   416   </p>
       
   417 
       
   418   <p>
       
   419   <A HREF="http://en.wikipedia.org/wiki/Arduino">Arduinos</A> are slightly older (from 2005) but still very cool (see picture on the right below). They
       
   420   are small single-board micro-controllers that can talk to various external gadgets (sensors, motors, etc). Since Arduinos
       
   421   are open-software and open-hardware there are many clones and add-on boards. Like for the Raspberry Pi, there
       
   422   is a lot of material <A HREF="https://www.google.co.uk/search?q=arduino">available</A> about Arduinos.
       
   423   The main reference is <A HREF="http://www.arduino.cc">here</A>. Like the Raspberry Pi's, the good thing about
       
   424   Arduinos is that they can be powered with simple AA-batteries.
       
   425   </p>
       
   426 
       
   427   <p>
       
   428   I have two such Raspberry Pi's including wifi-connectors and two <A HREF="http://www.raspberrypi.org/camera">cameras<A>.
       
   429   I also have two <A HREF="http://www.freaklabs.org/index.php/Blog/Store/Introducing-the-Freakduino-Chibi-An-Arduino-based-Board-For-Wireless-Sensor-Networking.html">Freakduino Boards</A> that are Arduinos extended with wireless communication. I can lend them to responsible
       
   430   students for one or two projects. However, the aim is to first come up with an idea for a project. Popular projects are
       
   431   automated temperature sensors, network servers, robots, web-cams (<A HREF="http://www.secretbatcave.co.uk/electronics/shard-rain-cam/">here</A>
       
   432   is a <A HREF="http://www.raspberrypi.org/archives/3547">web-cam</A> directed at the Shard that can
       
   433   <A HREF="http://www.secretbatcave.co.uk/software/shard-rain-cam-quantifying-cloudy/">tell</A>
       
   434   you whether it is raining or cloudy). There are plenty more ideas listed
       
   435   <A HREF="http://www.raspberrypi.org/phpBB3/viewforum.php?f=15">here</A> for Raspberry Pi's and
       
   436   <A HREF="http://playground.arduino.cc/projects/ideas">here</A> for Arduinos.
       
   437   </p>
       
   438 
       
   439   <p>
       
   440   There are essentially two kinds of projects: One is purely software-based. Software projects for Raspberry Pi's are often
       
   441   written in <A HREF="http://www.python.org">Python</A>, but since these are Linux-capable computers any other
       
   442   language would do as well. You can also write your own operating system as done
       
   443   <A HREF="http://www.cl.cam.ac.uk/projects/raspberrypi/tutorials/os/">here</A>. For example the students
       
   444   <A HREF="http://www.recantha.co.uk/blog/?p=4918">here</A> developed their own bare-metal OS and then implemented
       
   445   a chess-program on top of it (have a look at their very impressive
       
   446   <A HREF="http://www.youtube.com/watch?v=-03bouPsfEQ&feature=player_embedded">youtube</A> video).
       
   447   The other kind of project is a combination of hardware and software; usually attaching some sensors
       
   448   or motors to the Raspberry Pi or Arduino. This might require some soldering or what is called
       
   449   a <A HREF="http://en.wikipedia.org/wiki/Breadboard">bread-board</A>. But be careful before choosing a project
       
   450   involving new hardware: these devices
       
   451   can be destroyed (if &ldquo;Vin connected to GND&rdquo; or &ldquo;drawing more than 30mA from a GPIO&rdquo;
       
   452   does not make sense to you, you should probably stay away from such a project). 
       
   453   </p>
       
   454 
       
   455   <p>
       
   456   <center>
       
   457   <img style="-webkit-user-select: none; cursor: -webkit-zoom-in;
       
   458   "src="http://upload.wikimedia.org/wikipedia/commons/3/3d/RaspberryPi.jpg" width="313" height="209">
       
   459 
       
   460   <img style="-webkit-user-select: none; cursor: -webkit-zoom-in;
       
   461   "src="http://upload.wikimedia.org/wikipedia/commons/3/38/Arduino_Uno_-_R3.jpg" width="240" height="209">
       
   462   </center>
       
   463   </p>
       
   464 
       
   465   <p>
       
   466   <B>Skills:</B> 
       
   467   Well, you must be a hacker; happy to make things. Your desk might look like the photo below on the left.
       
   468   The photo below on the righ shows an earlier student project which connects wirelessly a wearable Arduino (packaged
       
   469   in a "self-3d-printed" watch) to a Raspberry Pi seen in the background. The Arduino in the forground takes meaurements of 
       
   470   heart rate and body temperature; the Raspberry Pi collects this data and makes it accessible via a simple
       
   471   web-service.
       
   472   <center>
       
   473   <img style="-webkit-user-select: none; cursor: -webkit-zoom-in;
       
   474   "src="http://www.inf.kcl.ac.uk/staff/urbanc/rpi-photo.jpg" width="209" height="313">
       
   475 
       
   476   <img style="-webkit-user-select: none; cursor: -webkit-zoom-in;
       
   477   "src="http://www.inf.kcl.ac.uk/staff/urbanc/rpi-watch.jpg" width="450" height="254">
       
   478   </center>
       
   479   </p>
       
   480 
       
   481 <li> <H4>[CU6] An Infrastructure for Displaying and Animating Code in a Web-Browser</H4>
       
   482   
       
   483 <p>
       
   484   <B>Description:</B>
       
   485   The project aim is to implement an infrastructure for displaying and
       
   486   animating code in a web-browser. The infrastructure should be agnostic
       
   487   with respect to the programming language, but should be configurable.
       
   488   I envisage something smaller than the projects 
       
   489   <A HREF="http://www.pythontutor.com">here</A> (for Python),
       
   490   <A HREF="http://ideone.com">here</A> (for Java),
       
   491   <A HREF="http://codepad.org">here</A> (for multiple languages),
       
   492   <A HREF="http://www.w3schools.com/html/tryit.asp?filename=tryhtml_intro">here</A> (for HTML)
       
   493   <A HREF="http://repl.it/languages/JavaScript">here</A> (for JavaScript),
       
   494   and <A HREF="http://www.scala-tour.com/#/welcome">here</A> (for Scala).
       
   495   </p>
       
   496 
       
   497   <p>
       
   498   The tasks in this project are being able (1) to lex and parse languages and (2) to write an interpreter.
       
   499   The goal is to implement this as much as possible in a language-agnostic fashion.
       
   500   </p>
       
   501 
       
   502   <p>
       
   503   <B>Skills:</B> 
       
   504   Good skills in lexing and language parsing, as well as being fluent with web programming (for
       
   505   example JavaScript).
       
   506   </p>
       
   507 
       
   508 
       
   509 <li> <H4>[CU7] Implementation of a Distributed Clock-Synchronisation Algorithm developed at NASA</H4>
       
   510   
       
   511   <p>
       
   512   <B>Description:</B>
       
   513   There are many algorithms for synchronising clocks. This
       
   514   <A HREF="http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20120000054_2011025573.pdf">paper</A> 
       
   515   describes a new algorithm for clocks that communicate by exchanging
       
   516   messages and thereby reach a state in which (within some bound) all clocks are synchronised.
       
   517   A slightly longer and more detailed paper about the algorithm is 
       
   518   <A HREF="http://hdl.handle.net/2060/20110020812">here</A>.
       
   519   The point of this project is to implement this algorithm and simulate networks of clocks.
       
   520   </p>
       
   521 
       
   522   <p>
       
   523   <B>Literature:</B> 
       
   524   There is a wide range of literature on clock synchronisation algorithms. 
       
   525   Some pointers are given in this
       
   526   <A HREF="http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/20120000054_2011025573.pdf">paper</A>,
       
   527   which describes the algorithm to be implemented in this project. Pointers
       
   528   are given also <A HREF="http://en.wikipedia.org/wiki/Clock_synchronization">here</A>.
       
   529   </p>
       
   530 
       
   531   <p>
       
   532   <B>Skills:</B> 
       
   533   In order to implement a simulation of a network of clocks, you need to tackle
       
   534   concurrency. You can do this for example in the programming language
       
   535   <A HREF="http://www.scala-lang.org/">Scala</A> with the help of the 
       
   536   <A HREF="http://akka.io">Akka</a> library. This library enables you to send messages
       
   537   between different <I>actors</I>. <A HREF="http://www.scala-lang.org/node/242">Here</A> 
       
   538   are some examples that explain how to implement exchanging messages between actors. 
       
   539   </p>
       
   540 
       
   541 <li> <H4>[CU8] Proving the Correctness of Programs</H4>
       
   542 
       
   543  <p>
       
   544  I am one of the main developers of the interactive theorem prover
       
   545  <A HREF="http://isabelle.in.tum.de">Isabelle</A>. This theorem prover
       
   546  has been used to establish the correctness of some quite large
       
   547  programs (for example an <A HREF="http://ertos.nicta.com.au/research/l4.verified/">operating system</A>).
       
   548  Together with colleagues from Nanjing, I used this theorem prover to establish the correctness of a
       
   549  scheduling algorithm, called
       
   550  <A HREF="http://en.wikipedia.org/wiki/Priority_inheritance">Priority Inheritance</A>,
       
   551  for real-time operating systems. This scheduling algorithm is part of the operating
       
   552  system that drives, for example, the 
       
   553  <A HREF="http://en.wikipedia.org/wiki/Mars_Exploration_Rover">Mars rovers</A>.
       
   554  Actually, the very first Mars rover mission in 1997 did not have this
       
   555  algorithm switched on and it almost caused a catastrophic mission failure (see
       
   556  this youtube video <A HREF="http://www.youtube.com/watch?v=lyx7kARrGeM">here</A>
       
   557  for an explanation what happened).
       
   558  We were able to prove the correctness of this algorithm, but were also able to
       
   559  establish the correctness of some optimisations in this
       
   560  <A HREF="http://www.inf.kcl.ac.uk/staff/urbanc/Publications/pip.pdf">paper</A>.
       
   561  </p>
       
   562 
       
   563  <p>On a much smaller scale, there are a few small programs and underlying algorithms where it
       
   564  is not really understood whether they always compute a correct result (for example the
       
   565  regular expression matcher by Sulzmann and Lu in project [CU1]). The aim of this
       
   566  project is to completely specify an algorithm in Isabelle and then prove it correct (that is,
       
   567  it always computes the correct result).
       
   568 </p>
       
   569 
       
   570   <p>
       
   571   <B>Skills:</B> 
       
   572   This project is for a very good student with a knack for theoretical things and formal reasoning.
       
   573   </p>
       
   574 
       
   575 <li> <H4>[CU9] Anything Security Related that is Interesting</H4>
       
   576   
       
   577 <p>
       
   578 If you have your own project that is related to security (must be
       
   579 something interesting), please propose it. We can then have a look
       
   580 whether it would be suitable for a project.
       
   581 </p>
       
   582 
       
   583 <li> <H4>[CU10]  A Graphics Framework for JavaScript</H4>
       
   584 
       
   585 <li> <H4>[CU11] Anything Interesting in the Areas</H4>
       
   586   
       
   587 <p>
       
   588 <ul>
       
   589 <li><A HREF="http://elm-lang.org">Elm</A> (a reactive functional language for animating webpages; have a look at the cool examples, or <A HREF="http://pragmaticstudio.com/blog/2014/12/19/getting-started-with-elm">here</A> for an introduction)
       
   590 <li><A HREF="http://www.smlserver.org/smltojs/">SMLtoJS</A> (a ML compiler to JavaScript; or anything else related to
       
   591   sane languages that compile to JavaScript)
       
   592 <li>Any statistical data related to Bitcoins (in the spirit of this
       
   593 <A HREF="http://people.csail.mit.edu/spillai/data/papers/ bitcoin-transaction-graph-analysis.pdf">paper</A> or
       
   594   this <A HREF="https://eprint.iacr.org/2012/584.pdf">one</A>; this will probably require some extensive C knowledge or any
       
   595   other heavy-duty programming language)
       
   596 <li>Anything related to programming languages and formal methods (like
       
   597   <A HREF="http://matt.might.net/articles/intro-static-analysis/">static program analysis</A>)  
       
   598 <li>Anything related to low-cost, hands-on hardware like Raspberry Pi, Arduino,
       
   599   <A HREF="http://en.wikipedia.org/wiki/Cubieboard">Cubieboard</A>
       
   600 <li>Anything related to microkernel operating systems, like
       
   601   <A HREF="http://www.xenproject.org">Xen</A> or
       
   602   <A HREF="http://www.openmirage.org">Mirage OS</A>
       
   603 <li>Any kind of applied hacking, for example the Arduino-based keylogger described
       
   604    <A HREF="http://samy.pl/keysweeper/">here</A>
       
   605 </ul>
       
   606 </p>
       
   607 
       
   608 
       
   609 <li> <H4>Earlier Projects</H4>
       
   610 
       
   611  I am also open to project suggestions from you. You might find some inspiration from my earlier projects:
       
   612  <A HREF="http://www.inf.kcl.ac.uk/staff/urbanc/bsc-projects-12.html">BSc 2012/13</A>, 
       
   613  <A HREF="http://www.inf.kcl.ac.uk/staff/urbanc/msc-projects-12.html">MSc 2012/13</A>, 
       
   614  <A HREF="http://www.inf.kcl.ac.uk/staff/urbanc/bsc-projects-13.html">BSc 2013/14</A>
       
   615  <A HREF="http://www.inf.kcl.ac.uk/staff/urbanc/msc-projects-13.html">MSc 2013/14</A> 
       
   616  <A HREF="http://www.inf.kcl.ac.uk/staff/urbanc/bsc-projects-14.html">BSc 2014/15</A>
       
   617  <A HREF="http://www.inf.kcl.ac.uk/staff/urbanc/msc-projects-14.html">MSc 2014/15</A> 
       
   618 </ul>
       
   619 </TD>
       
   620 </TR>
       
   621 </TABLE>
       
   622 
       
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