Mathematical Methods of Data Network TechnologyLaajuus (5 cr)

Objective

The students have the basic skills of mathematics needed in data network and data communication technology.

Content

Fourier series and line spectrum, Fourier transformation and density spectrum, discrete Fourier transformation, FFT. Random phenomena and the concept of probability, conditional probability and independence, the Bayes formula, random variable; binomial, Poisson and normal distribution. Central limit theorem.

Qualifications

Basic knowledge of algebra and analysis, integral

Assessment criteria, satisfactory (1)

Excellent 5: The student has a clear view of the subject. He (she) can apply the learned tools to theoretical problems in the field of telecommunication.
Very good 4: The student has a clear view of the subject. He (she) can apply the learned tools to simple theoretical problems in the field of telecommunication.
Good 3: The student knows well the essential goals of the module: he (she) masters the principles of continuous and discrete Fourier transform he (she) has a clear view on the use of these tools in describing signal spectrum. The student also masters the basics of probability calculation and the concept of random variable and its distribution.
Satisfactory 2: The student knows well the essential goals of the module: he (she) knows the principles of continuous and discrete Fourier transform he (she) has a clear on the use of these tools in describing signal spectrum. The student also knows the basics of probability calculation and the concept of random variable and its distribution.
Sufficient 1: The student has a weak knowledge of the learning objectives of the module and the idea of the subject is fragmentary.
Not accepted 0: The student does not master the subject.