Study Guide

Objective

After passing the course, the student is expected to understand how to measure, store, handle and filter digital signals.

Content

- Continuous and digital signals.
- Sampling, quantization and alias effect.
- Storage and distribution of data between different computer systems.
- Digital Signal Processing techniques
- Design and realization of simple digital filters

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Understand the basic concepts of signal processing.
Can use computer tools to analyze and create simpler signals.
Understand the function of the components of a measurement system; from physical signal to computer.
Understand the basics of a digital filter.

Assessment criteria, good (3)

Manage to interpret model signals.
Be able to analyze signals with the help of computer tools.
Be able to pair measurement sensors with a computer system and make software for analyzing the data.
Managed to create a digital filter.

Assessment criteria, excellent (5)

Be able to implement different model signals.
Can use computer tools to load, generate and manipulate a signal.
Be able to build a complete measurement system and develop necessary software.
Be able to create a digital filter with different design methods.

Qualifications

Mathematics and programming courses according to grades 1-3.

Objective

After passing the course, the student is expected to understand how to measure, store, handle and filter digital signals.

Content

- Continuous and digital signals.
- Sampling, quantization and alias effect.
- Storage and distribution of data between different computer systems.
- Digital Signal Processing techniques
- Design and realization of simple digital filters

Materials

Lecture notes
Web-based material

Teaching methods

Lectures
Exercises in computer class
Self studies

Completion alternatives

Exam and assignments

Student workload

Altogether 81 hours, of which 36 hours as classroom education.

Evaluation scale

H-5

Assessment criteria, satisfactory (1)

Understand the basic concepts of signal processing.
Can use computer tools to analyze and create simpler signals.
Understand the function of the components of a measurement system; from physical signal to computer.
Understand the basics of a digital filter.

Assessment criteria, good (3)

Manage to interpret model signals.
Be able to analyze signals with the help of computer tools.
Be able to pair measurement sensors with a computer system and make software for analyzing the data.
Managed to create a digital filter.

Assessment criteria, excellent (5)

Be able to implement different model signals.
Can use computer tools to load, generate and manipulate a signal.
Be able to build a complete measurement system and develop necessary software.
Be able to create a digital filter with different design methods.

Assessment methods and criteria

Examination is based on an individual exam (30 points) and assignments (20 points).
At least 12 points in the exam and a total of 20 points is required to pass the course.

Assessment criteria, fail (0)

Less than 12 points in the exam or less than 20 points in total.

Assessment criteria, satisfactory (1-2)

At least 12 points in the exam and 20-31 points in total.

Assessment criteria, good (3-4)

At least 12 points in the exam and 32-43 points in total.

Assessment criteria, excellent (5)

At least 12 points in the exam and at least 44 points in total.

Qualifications

Mathematics and programming courses according to grades 1-3.