Information and Communications Technology, 30 cr
Type of the study module
Intermediate Studies
Contact
Hannu-Matti Järvinen, Ari Visa, Mikko Valkama
Learning Outcomes
- | To acquire knowledge of various areas of information and communications technology. |
- | To know the key concepts and definitions of the selected area of information or communications technology. |
- | To recognize the application areas and possibilities of information and communications technology. |
Content
Compulsory courses
Course | Credit points | Class |
TIE-02206 Basic Course on Programming | 5 cr | II |
Total | 5 cr |
Optional Compulsory Courses
Must be selected at least 20 credits of courses
Course | Credit points | Alternativity | Class |
ELT-40006 Basic Course on Communications Engineering | 4 cr | 4 | II |
ELT-41206 Basic Course on Wireless Communications | 5 cr | 4 | III |
ELT-51107 Computer Networking I | 6 cr | 4 | II |
LTT-21106 Bachelor's Thesis Seminar in Science and Engineering | 0 cr | 1 | III |
SGN-11007 Introduction to Signal Processing | 5 cr | 3 | II |
TIE-02407 Programming Techniques | 5 cr | 6 | III |
TIE-02506 Concurrency | 5 cr | 6 | II |
TIE-04106 Basic Course on User Experience | 3 cr | 5 | III |
TIE-05206 Microprocessors | 4 cr | 5 | II |
TIE-20106 Data Structures and Algorithms | 5 cr | 6 | II |
TIE-50106 Digital Design | 5 cr | 2 | III |
1.
Select 0 courses.
LTT-21106 Bachelor's Thesis Seminar in Science and Engineering is mandatory as part of this study module if the Bachelor's Thesis is written in this subject.
2.
Select 20 credits.
If targeting to M.Sc. studies in Software Engineering - Web and Cloud. Se also notes 6 and 7. The required sum of credit points is the sum of all these notes.
3.
Select 15 credits.
If targeting to M.Sc. studies in Data Engineering and Machine Learning or Signal Processing. See also note 7. The required sum of credit points is the sum of all these notes.
4.
Select 15 credits.
If targeting to M.Sc. studies in Communication Systems and Networks or Wireless Communications and RF Systems
5.
Select 5 credits.
If targeting to M.Sc. studies in Software Engineering - Web & Cloud or User Experience
6.
Select 10 credits.
If targeting to M.Sc. studies in Software Engineering - Web and Cloud, User Experience, Data Engineering and Machine Learning or Signal Processing
Complementary Courses
Should be completed to the minimum study module extent of 30 ETCS
Course | Credit points | Additional information | Class |
ELT-41307 Communication Theory | 7 cr | 4 | III |
ELT-51006 Networking Laboratory I | 4-5 cr | 4 | II |
ELT-53107 Computer Networking II | 6 cr | 4 | II |
SGN-12007 Introduction to Image and Video Processing | 5 cr | 3 | III |
SGN-13006 Introduction to Pattern Recognition and Machine Learning | 5 cr | 3 | III |
TIE-23506 Web Software Development | 5 cr | 1 | III |
TIE-31106 Cryptography Engineering | 5 cr | 1 | III |
TIE-41106 User Interface Design | 5 cr | 2 | III |
1. Recommended if targeting to M.Sc. studies in Software Engineering - Web & Cloud
2. Recommended if targeting to M.Sc. studies in User Experience.
3. Recommended if targeting to M.Sc. studies in Data Engineering and Machine Learning or Signal Processing.
4. Recommended if targeting to M.Sc. studies in Communication Systems and Networks or Wireless Communications and RF Systems
Additional information
This module offers the student wide knowledge of the areas in information and communications technology. With proper course selections, it offers a suitable background and prerequisite module for large selection of MSc majors.