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