Reorganized the folders and started a common script for the lectures.

likelihood/code/mlemean.m

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+% draw random numbers:
+n = 100;
+mu = 3.0;
+sigma =2.0;
+x = randn(n,1)*sigma+mu;
+fprintf('              mean of the data is %.2f\n', mean(x))
+fprintf('standard deviation of the data is %.2f\n', std(x))
+
+% mean as parameter:
+pmus = 2.0:0.01:4.0;
+% matrix with the probabilities for each x and pmus:
+lms = zeros(length(x), length(pmus));
+for i=1:length(pmus)
+    pmu = pmus(i);
+    p = exp(-0.5*((x-pmu)/sigma).^2.0)/sqrt(2.0*pi)/sigma;
+    lms(:,i) = p;
+end
+lm = prod(lms, 1);          % likelihood
+loglm = sum(log(lms), 1);   % log likelihood
+
+% plot likelihood of mean:
+subplot(1, 2, 1);
+plot(pmus, lm );
+xlabel('mean')
+ylabel('likelihood')
+subplot(1, 2, 2);
+plot(pmus, loglm );
+xlabel('mean')
+ylabel('log likelihood')