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\handout{follow-up}{Follow-up Courses}{May 17, 2001}

This handout lists some courses that build on the material taught in
18.062J/6.042J and are natural follow-ups if you are interested in the
topics covered by this course.  More information about these courses
in the online course catalog at
\url{http://student.mit.edu/catalog/index.cgi} or through the Course 6
Underground Guide at \url{https://hkn.mit.edu/6guide/index.html}.

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\hline

\bf{Number} & \bf{Title} & \bf{Prereqs} & \bf{6.042 Topics Covered} \\
\hline

18.410J/ 6.046J & Introduction to Algorithms & 6.001 & Covers
   algorithms on everything imaginable.  Uses many of the methods
   developed in this class to analyze them.  
   \\

\hline


18.400J/ 6.045J & Automata, Computability, and Complexity & &
   Computation theory and the many varieties of state machines. \\

\hline

18.404J/ 6.840J & Theory of Computation & & Same topics as
   18.400J/6.045J, but covered from a more theoretical view. \\

\hline
18.310 & Principles of Applied Mathematics & & An eclectic course,
with topics blending combinatorics and probability.  Recent focus on
coding.  \\

\hline

18.314 & Combinatorial Analysis & & Counting, relations, graphs,
   recurrances, and generating functions. \\

\hline

18.322 & Mathematics and Computers & & Studies computer-verified
proofs such as the 4-color theorem.  Build an automated theorem
prover (think how much work you could have saved in 6.042\ldots). \\ 

\hline

24.118 & Paradox and Infinity & & Yes, a whole course on infinity, and
   it is fairly mathematics oriented. \\

\hline

18.05 & Introduction to Probability and Statistics & & Basic
   probability and statistics. (This may be too easy after 6.042.) \\

\hline

6.041 & Probabilistic Systems Analysis & & Simple probability
   expanding somewhat on what's covered in this course.  You'll find
   the first portion a repeat of what's covered in 042, but they'll
   spend more time studying specific distributions, continuous
   probability, and applications.  \\

\hline

18.440 & Probability and Random Variables & & Just what the name says
   covered in good depth.  A good follow-on to this course if you
   find 041 too much of a repeat. \\

\hline

18.443 & Statistics for Applications & 18.440 or 6.041
   & Statistics aimed at uses for data anaysis.  An extremely useful
   tool for \emph{anyone} planning to enter a career in which you try
   to make sense of the results of experiments.  6.042 will probably
   suffice for the 6.041 prerequisite.\\

\hline

18.441 & Statistical Inference & 18.440 or 6.041 &
   Same topics as 18.443, but with a more theoretical outlook. \\

\hline

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