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.)