Course contents: Introduction. Discrete time signals and systems. Sampling and quantization. Linear time invariant discrete time systems. Convolution. Z-transform. Frequency domain representation. Digital filters. Discrete orthogonal transforms.

Assessment: Examination for both theory (70%) and laboratory practice (30%). Theory: written exams at the end of the semester. It is possible that home assignments will be given, which will contribute to the final grade with a percentage ranging between 10% and 20%. Laboratory practice: Written exams at the end of the semester or home assignments or both.