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Data and Signal Analysis (5 cr)

Code: 5S00EZ74-3001

General information


Enrolment period

29.11.2021 - 10.01.2022

Timing

17.01.2022 - 29.04.2022

Credits

5 op

Mode of delivery

Contact teaching

Unit

Electrical and Automation Engineering

Campus

TAMK Main Campus

Teaching languages

  • Finnish

Seats

0 - 40

Degree programmes

  • Degree Programme in Electrical Engineering

Teachers

  • Pasi Airikka
  • Harri Saarinen

Person in charge

Jarkko Lehtonen

Groups

  • 19I231B

Location and time

Teaching is as per on the time schedule by Lukkari.

Exam schedules

A failed course can be compensated by passing a new exam.

Assessment methods and criteria

Student performance assessment is based on completed home excercises and a passed exam.

Assessment scale

Pass/Fail

Teaching methods

Virtual teaching (theory), class-room teaching (exercises), home exercises, self-learning.

Learning materials

Lectures, notes made by a student, other referred material by a lecturer.

Student workload

The total working hours for passing the course is ca. 133 hours (5 cr x 1600/60 h/cr) of which a student has to allocate a major part for self-learning.

Content scheduling

The course involves teaching on a regular basis. The more detailed course structure is introduced in the first class and it will be available in the course information on Moodle afterwards.

Completion alternatives

None.

Practical training and working life cooperation

None.

International connections

The course involves no travelling abroad.

Further information

For passing the course, learning by doing home excercises on a continuous basis and self-learning are emphasized.

Assessment criteria - fail (0) (Not in use, Look at the Assessment criteria above)

The student performance does not exceed the minimum level.
(Student performance assessment procedure is introduced in the beginning of the course.)

Assessment criteria - satisfactory (1-2) (Not in use, Look at the Assessment criteria above)

The student performance is within the limits for the grade 1-2.
(Student performance assessment procedure is introduced in the beginning of the course.)

Assessment criteria - good (3-4) (Not in use, Look at the Assessment criteria above)

The student performance is within the limits for the grade 3-4.
(Student performance assessment procedure is introduced in the beginning of the course.)

Assessment criteria - excellent (5) (Not in use, Look at the Assessment criteria above)

The student performance reaches the highest grade 5.
(Student performance assessment procedure is introduced in the beginning of the course.)