Data Engineering, 30 cr
Type of the study module
Advanced Studies
Contact
Timo Aaltonen, Alpo Värri, Juho Kanniainen, Ari Visa, Ireneusz Defee, Moncef Gabbouj
Learning Outcomes
| - | Students in data engineering will have: - good understanding on data engineering and data science - the ability to analyse big data - ability to design data mining applications. - knowledge of relevant computer systems and programming techniques |
Prerequisites
The students should pay attention to the prerequisite requirements of the courses they select to their Data Engineering module. For example, the basic signal processing, programming or pattern recognition courses are prerequisites to some of the courses in the module. ( Advisable )
Content
Compulsory courses
| Course | Credit points | Class |
| SGN-42006 Machine Learning | 5 cr | IV |
| SGN-43006 Knowledge Mining and Big Data | 5 cr | IV |
| TIE-22306 Data-intensive Programming | 3 cr | IV |
| Total | 13 cr |
Optional Compulsory Courses
Must be selected at least 14 credits of courses
| Course | Credit points | Alternativity | Class |
| SGN-41006 Signal Interpretation Methods | 4 cr | 3 | IV |
| SGN-81006 Signal Processing Innovation Project | 5-8 cr | 1 | V |
| TIE-13100 Tietotekniikan projektityö | 5-10 cr | 1 | V |
| TIE-20100 Tietorakenteet ja algoritmit | 5 cr | 2 | IV |
| TIE-20106 Data Structures and Algorithms | 5 cr | 2 | IV |
| TIE-23406 Distributed Systems | 5 cr | 3 | IV |
| TST-01606 Demola Project Work | 5-10 cr | 1 | V |
1.
Select 1 courses.
Choose one of the project courses
2.
Select 1 courses.
Choose one of the courses
3.
Select 1 courses.
Choose at least one of the courses
Complementary Courses
The students should acquire knowledge and skills to work with databases either by taking the 1-2 database courses offered or by self-studying them.
Should be completed to the minimum study module extent of 30 ETCS
| Course | Credit points | Class |
| ASE-7516 Dynamic Planning with Incomplete Information | 5 cr | V |
| ASE-7716 Predictive and Fuzzy Control | 5 cr | IV |
| MAT-64500 Datan analyysimenetelmät mallinnuksessa | 4 cr | IV |
| MAT-65000 Tilastolliset mallit | 4 cr | IV |
| MAT-82106 Semantic Modeling | 4 cr | IV |
| SGN-31006 Image and Video Processing Techniques | 6 cr | IV |
| SGN-41006 Signal Interpretation Methods | 4 cr | IV |
| SGN-53007 Computational Diagnostics | 5 cr | IV |
| SGN-54006 Introduction to Neuroinformatics | 5 cr | IV |
| SGN-83006 External Network Course in Signal Processing | 1-8 cr | V |
| TIE-22100 Johdatus tietokantoihin | 4 cr | IV |
| TIE-22200 Tietokantojen suunnittelu | 6 cr | V |
| TIE-23406 Distributed Systems | 5 cr | IV |
| TLO-11016 Management Information Systems | 4 cr | V |
| TLO-35256 Data and Information Management | 4 cr | IV |
| TTA-32010 Johdon laskentatoimi | 5 cr | IV |
| TTA-35020 Laskentatoimi johtamisen tukena | 4 cr | IV |
| TTA-45010 Yritysrahoitus ja rahoitusmarkkinat | 5 cr | III |
| TTA-72030 Toiminnanohjaus | 4 cr | IV |
Additional information
Data engineering concerns gathering, analysing and management of huge data sets available in the networked world from the Web, sensors, social media. Data engineering includes thus: text, web, media mining, temporal, spatial, scientific, statistical, financial and biological databases. Data engineering involves also management by metadata and XML, heterogeneous, and distributed databases and data warehouses and systems including security and integrity control.