Digital Technology (5 ECTS)
Code: TX00FL80-3001
General information
- Enrollment
- 05.05.2025 - 06.06.2025
- Registration for the implementation has ended.
- Timing
- 25.08.2025 - 19.10.2025
- The implementation has not yet started.
- Number of ECTS credits allocated
- 5 ECTS
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Smart and Clean Solutions
- Campus
- Leiritie 1
- Teaching languages
- English
- Degree programmes
- Degree Programme in Smart Automation
- Degree Programme in Electronics
- Teachers
- Tuan Nguyen
- Janne Mäntykoski
- Groups
-
TXX24S1Degree Programme in Smart Automation, päivä
-
SE24SElektroniikan pääaine,syksyllä 2024 aloittaneet
-
TXD24S1Degree Programme in Electronics päivä
- Course
- TX00FL80
Implementation has 21 reservations. Total duration of reservations is 49 h 0 min.
Time | Topic | Location |
---|---|---|
Tue 26.08.2025 time 08:00 - 10:00 (2 h 0 min) |
Digital Technology TX00FL80-3001 |
MMB235
Fysiikan Demolaboratorio
|
Thu 28.08.2025 time 12:00 - 14:00 (2 h 0 min) |
Digital Technology TX00FL80-3001 |
MMB301
Auditorio 3 krs.
|
Fri 29.08.2025 time 11:00 - 14:00 (3 h 0 min) |
Digital Technology TX00FL80-3001 |
MMC344.1
Elektroniikan laboratorio 1
MMC344.2 Elektroniikan laboratorio 2 |
Tue 02.09.2025 time 08:00 - 10:00 (2 h 0 min) |
Digital Technology TX00FL80-3001 |
MMB235
Fysiikan Demolaboratorio
|
Thu 04.09.2025 time 12:00 - 14:00 (2 h 0 min) |
Digital Technology TX00FL80-3001 |
MMB301
Auditorio 3 krs.
|
Fri 05.09.2025 time 11:00 - 14:00 (3 h 0 min) |
Digital Technology TX00FL80-3001 |
MMC344.1
Elektroniikan laboratorio 1
MMC344.2 Elektroniikan laboratorio 2 |
Tue 09.09.2025 time 08:00 - 10:00 (2 h 0 min) |
Digital Technology TX00FL80-3001 |
MMB235
Fysiikan Demolaboratorio
|
Thu 11.09.2025 time 12:00 - 14:00 (2 h 0 min) |
Digital Technology TX00FL80-3001 |
MMB301
Auditorio 3 krs.
|
Fri 12.09.2025 time 11:00 - 14:00 (3 h 0 min) |
Digital Technology TX00FL80-3001 |
MMC344.1
Elektroniikan laboratorio 1
MMC344.2 Elektroniikan laboratorio 2 |
Tue 16.09.2025 time 08:00 - 10:00 (2 h 0 min) |
Digital Technology TX00FL80-3001 |
MMB235
Fysiikan Demolaboratorio
|
Thu 18.09.2025 time 12:00 - 14:00 (2 h 0 min) |
Digital Technology TX00FL80-3001 |
MMB301
Auditorio 3 krs.
|
Fri 19.09.2025 time 11:00 - 14:00 (3 h 0 min) |
Digital Technology TX00FL80-3001 |
MMC344.1
Elektroniikan laboratorio 1
MMC344.2 Elektroniikan laboratorio 2 |
Tue 23.09.2025 time 08:00 - 10:00 (2 h 0 min) |
Digital Technology TX00FL80-3001 |
MMB235
Fysiikan Demolaboratorio
|
Thu 25.09.2025 time 12:00 - 14:00 (2 h 0 min) |
Digital Technology TX00FL80-3001 |
MMB301
Auditorio 3 krs.
|
Fri 26.09.2025 time 11:00 - 14:00 (3 h 0 min) |
Digital Technology TX00FL80-3001 |
MMC344.1
Elektroniikan laboratorio 1
MMC344.2 Elektroniikan laboratorio 2 |
Tue 30.09.2025 time 08:00 - 10:00 (2 h 0 min) |
Digital Technology TX00FL80-3001 |
MMB235
Fysiikan Demolaboratorio
|
Thu 02.10.2025 time 12:00 - 14:00 (2 h 0 min) |
Digital Technology TX00FL80-3001 |
MMB301
Auditorio 3 krs.
|
Fri 03.10.2025 time 11:00 - 14:00 (3 h 0 min) |
Digital Technology TX00FL80-3001 |
MMC344.1
Elektroniikan laboratorio 1
MMC344.2 Elektroniikan laboratorio 2 |
Tue 07.10.2025 time 08:00 - 10:00 (2 h 0 min) |
Digital Technology TX00FL80-3001 |
MMB235
Fysiikan Demolaboratorio
|
Thu 09.10.2025 time 12:00 - 14:00 (2 h 0 min) |
Digital Technology TX00FL80-3001 |
MMB301
Auditorio 3 krs.
|
Fri 10.10.2025 time 11:00 - 14:00 (3 h 0 min) |
Digital Technology TX00FL80-3001 |
MMC344.1
Elektroniikan laboratorio 1
MMC344.2 Elektroniikan laboratorio 2 |
Objective
After completion of the course, the student
• understands the principles and design techniques of combinational logic circuits
• is able to design and analyse combinational circuits, including multiplexers, decoders, and adders and demonstrate proficiency in simplifying and optimising complex combinational circuits
• understands the concepts of latches and flip-flops in sequential logic and is able to design and analyse sequential circuits using various types of flip-flops
• is able to design and implement synchronous and asynchronous counters for different applications and to analyse and construct shift registers and understand their role in data storage and manipulation
• comprehends the operation and significance of sequential logic components, including State Transition Machines (STMs), adders, and Arithmetic Logic Units (ALUs)
• becomes familiar with various microcontroller architectures and their core components.
Content
• Karnaugh map
• Combinational circuits
• Latches and flip-flops
• Counters and shift registers
• Sequential logic (STM's, Adders, ALU)
• Introduction to microcontroller architectures
Location and time
First period, autumn 2025 in Myyrmäki campus.
Materials
Lecture notes. Additionally some books TBD later.
Teaching methods
Lectures, exams, laboratory assignments, homework, design projects(s).
Employer connections
NA
Exam schedules
The assessment is based on multiple tasks (exams, labs). Students may take the exams later if they're absent for a good reason. Since it's not required to pass individual tasks separately, no resits will be arranged to improve the exam points.
International connections
NA
Completion alternatives
NA
Student workload
133 hrs in total, of which 65% is self-study with lesson refresh, homework and study for mid-term exams.
4 hours of lectures and 3 hours of labs per week
Content scheduling
All relevant topics covered in the first autumn period.
Further information
In order to pass the course, each student has to collect min 21 points
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student
• has achieved the objectives of the course to a satisfactory level
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise
• has completed the learning tasks required for the course to the minimum standard
• has developed their competences in such a way that they will be able to complete their future professional studies and eventually work in the field.
Assessment criteria, good (3)
The student
• has achieved the objectives of the course well, although there are still areas where knowledge and skills need to be improved
• has completed the learning tasks of the course at a satisfactory or good level
• has a good understanding of the concepts and models of the subject matter of the course and is able to carry out a reasoned analysis
• is able to apply what they have learned in learning and working situations
• understands the importance of expertise in the field and is able to analyse their own expertise.
Assessment criteria, excellent (5)
The student
• has achieved the objectives of the course with excellent marks
• has completed the learning tasks of the course at a good or excellent level
• has an excellent command of the concepts and models of the subject matter of the course
• is able to analyse clearly and reasonably and propose practical development measures
• has a good ability to apply what they have learned in learning and working situations
• is able to analyse their expertise in their field and their own development towards expertise.
Assessment methods and criteria
Maximum 50 points from different tasks (exams, HW, labs, etc.).
Points=>Grade
0-20 => Fail
21 - 26 => 1
27 - 32 => 2
33 - 38 => 3
39 - 44 => 4
45 - 50 => 5
There is a separate assignment in OMA for course feedback "Did you give course feedback - Yes or No?"
2 extra points for giving the feedback and answering the question 'Yes'