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Digital Technology (2 cr)

Code: TT00CD73-3008

General information


Enrollment
01.08.2024 - 22.08.2024
Registration for the implementation has ended.
Timing
26.08.2024 - 18.12.2024
Implementation has ended.
Number of ECTS credits allocated
2 cr
Local portion
1.5 cr
Virtual portion
0.5 cr
Mode of delivery
Blended learning
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
English
Seats
20 - 35
Degree programmes
Bachelor's Degree Programme in Electrical and Automation Engineering
Bachelor's Degree Programme in Information and Communications Technology
Bachelor's Degree Programme in Automation and Robotics
Teachers
Olli Väänänen
Groups
TAR24S1
Bachelor's Degree Programme in Automation and Robotics
ZJATAR24SS
Avoin amk, Automation and Robotics, Päivä
Course
TT00CD73

Evaluation scale

0-5

Further information

The course has an 80% attendance requirement. Attendance is monitored. Absences are agreed with the teacher for justified reasons. For example, cases of illness or otherwise demonstrated competence. The assessment criteria will take into account the student's active participation in the course.
The student must sign the course feedback as given (task in Moodle).

Self-assessments are mainly done through the learning tasks. The assessment decision is based on the skills demonstrated in the exam.

Student workload

A total of 54 hours of learning work.
Lectures 16 h
Study of materials 16 h
Exercises and assignments 20 h
Examination 2 h

Assessment criteria, satisfactory (1)

Sufficient (1)
You understand the key issues of the course to some extent

Satisfactory (2)
You can apply knowledge of number systems in programming

Assessment criteria, good (3)

Good (3)
You understand the concepts of logical design and know how to apply them in practice

Very good (4)
In addition to the previous ones, you know the basics of codes used in data transfer and know how to correct errors programmatically

Assessment criteria, excellent (5)

Excellent (5)
You know how to choose the best reading system for the application and perform effective error correction for it based on logical planning

Exam schedules

Exam and two resit at the end of the course in autumn 2024.

Teaching language

en

Teaching methods

Lectures and assignments. Simulation exercises
Problem-based learning is used as a learning method. Learning takes place through independently solved and returned learning tasks.

Number of ECTS credits allocated

2

Content

In this course you will learn the basics of digital numbering systems and their practical application. You will be able to solve technical problems logically and implement appropriate solutions. You will understand the use of traditional codes and be able to correct errors in them. This course will give you a strong basis for solving technical problems and managing codes.

Number systems
Basics of Boolean algebra
Sequential logic
Logical design
Codes

Objective

You understand the basics of digital number systems and know how to apply the knowledge in practice. You can rationalize simple technical problems logically and produce an implementation corresponding to the solution. You understand the use of traditional codes and how to correct errors in them.

EUR-ACE Knowledge and Understanding  
You know the concepts and principles related to digital technology. You can analyze logical structures

EUR-ACE Engineering practice 
You know how to plan and implement logical systems related to digital technology

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