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Archived Curricula Guide 2017–2019
Curricula Guide is archieved. Please refer to current Curricula Guides
Advanced studies in Computer Sciences, 80– ECTS

Evaluation

Numeric 1-5.

Prerequisites

Tietojenkäsittelytieteiden perus- ja aineopintojen kokonaisuudet valinnaisina opintoina tai vastaavat tiedot.

Belongs to following modules

Faculty of Natural Sciences
Optional studies in Computer Sciences for other degree programmes
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Advanced studies in Computer Sciences

Advanced studies in Computer Sciences 40– ECTS
TIETS02 Automata I, 5 ECTS
TIETS03 Automata II, 5 ECTS
TIETS14 Introduction to Formal Specification, 5 ECTS
TIETS13 Advanced Functional Programming, 10 ECTS
TIETS35 Qualitative research - methods and process, 5–10 ECTS
TIETS17 Requirements Engineering, 5 ECTS
TIETS19 Software Project Management, Theory and Practice, 10 ECTS
TIETS24 Design Methods of Information Systems, 10 ECTS
TIETS12 Computer Graphics, 10 ECTS
TIETS25 Textbook Examination on Knowledge Management, 10 ECTS
TIETS36 Research project, 1–10 ECTS
TIETS32 XML retrieval and query languages, 5 ECTS
TIETS01 Algorithms, 5 ECTS
TIETS09 Algorithmic Problem Solving, 5 ECTS
TIETS40 Managing e-commerce; Consumers and Community Perspective, 5 ECTS
TIETS41 Managing industrial e-business and B2B, 5 ECTS
TIETS11 Data Mining, 5 ECTS
TIETS31 Knowledge Discovery, 5–10 ECTS
TIETS05 Digital Image Processing, 5 ECTS
TIETS39 Machine Learning Algorithms, 5 ECTS
TIETS07 Neurocomputing, 5 ECTS
TIETS34 Seminar (Computer Science), 5 ECTS
TIETS33 Advanced Course in Computer Science, 1–10 ECTS
TIETS44 Big Data Entity Resolution, 5 ECTS
TIETS43 Recommender Systems, 5 ECTS
TIETS21 Master's Thesis Seminar, 1–5 ECTS
Valinnaisten syventävien opintojen tutkielma 40 op
TIETS45 M.Sc. Thesis for optional studies, 40 ECTS
Faculty of Natural Sciences
Degree Programmes