These lectures mainly are directed towards doctoral students
in coding theory:
1) Open problems in \lq\lq classical" coding theory, for example, minimum
distance problems for block and convolutional codes, relations to
sequence construction, Z4-codes, structural descriptions of codes such
as weight hierarchies and trellis structure. Algebraic geometry codes will be mentioned
too but just references to some of the other lectures will be given.
2) An overview of information theoretic aspects of coding for
communications, and the recent solutions to the coding problem:
Iterative decoding to overcome the complexity problem, applied to
parallel concatenated codes (\lq\lq turbocodes"), serially concatenated
codes, and related constructions, as well as Low-parity density codes
3) Applications, and the requirements they impose on the coding
systems. Examples can include magnetic and optical recording, mobile
communications. Other applications might include
modems, semiconductor memories, deep space channels...