Data and Signal Analysis (5 cr)
Code: 5S00EZ74-3002
General information
Enrolment period
10.06.2024 - 01.09.2024
Timing
02.09.2024 - 20.12.2024
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
- Harri Saarinen
Person in charge
Jarkko Lehtonen
Groups
-
21I231B
Location and time
Teaching is as per on the time schedule by Lukkari.
Exam schedules
Exam Thu 05-Dec. cl. 09.00-11.00 class B5-18
1st retake Thu 12-Dec. cl. klo 09.00-11.00 class B5-18
2nd retake will be agreed separately, if needed
Training work has to be done with approval.
A failed course can be compensated by passing a new exam.
Assessment methods and criteria
Student performance assessment is based on completed trainign work and a passed exam.
Assessment scale
Pass/Fail
Teaching methods
Theory, exercises, training work, self-learning.
When possible remote lessons, they will be informed in advance.
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
N/A
Practical training and working life cooperation
N/A
International connections
The course involves no travelling abroad.
Further information
For passing the course, learning by doing, home excercises and training work are necessary. Continuous basis and self-learning are emphasized.
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.)