Credits

3 cr

Course language

Finnish

No upcoming implementations. See the syllabus for more information.

Learning outcomes of the course

The student understands the basic mathematical concepts and operations of signal processing and they have the vision how these operations can be applied to real signal modeling. The student understands in particular the mathematical model of the electromagnetic spectrum.

Course contents

The cross and autocorrelation of the signals, orthogonality. Fourier series and line spectrum, Fourier transform and density spectrum. Discrete Fourier transform, fast Fourier transform (FFT). Applying examples.

Prerequisites and co-requisites

Basic skills of algebra and analysis, integral

Assessment criteria

Assessment criteria - grade 1 and 2

Excellent 5: The student has a clear overview of the entire subject matter of the course. They have an independent application ability in the subject area of the course. In addition, the student can apply the models presented in the course to IT solutions, even if those solutions are not within their own specialization option.

Very Good 4: The student has a clear overview of most topics of the course. The student can apply models introduced in the course to IT solutions of their own specialization option.

Good 3: The student has a good understanding of some single topics of the course. They recognize an IT solution to which some topics of the course are applied.

Satisfactory 2: The student has an inadequate understanding of some single topics of the course. They recognize a simple and well-established IT solution to which some topics of the course are applied.

Sufficient 1: The student understands only some single topics of the course and their understanding of the subject matter is fragmented. Their ability to recognize IT solutions connected to the subjects of the course is weak.

Fail 0: The student does not understand even some single topics of the course. They do not recognize any connection to IT solutions.

Very Good 4: The student has a clear overview of most topics of the course. The student can apply models introduced in the course to IT solutions of their own specialization option.

Good 3: The student has a good understanding of some single topics of the course. They recognize an IT solution to which some topics of the course are applied.

Satisfactory 2: The student has an inadequate understanding of some single topics of the course. They recognize a simple and well-established IT solution to which some topics of the course are applied.

Sufficient 1: The student understands only some single topics of the course and their understanding of the subject matter is fragmented. Their ability to recognize IT solutions connected to the subjects of the course is weak.

Fail 0: The student does not understand even some single topics of the course. They do not recognize any connection to IT solutions.