Open University

Data-Intensive Programming, Lectures

Tampere University

Extent

5 cr

Course dates

23.10.2023- 8.12.2023

Application period

2.8.2023-2.10.2023

Fees

75,00 € (15 €/cr)

Campus

Hervanta Campus

City Centre Campus

Pori

Seinäjoki

City

Tampere

Pori

Seinäjoki

Faculty or school

Faculty of Information Technology and Communication Sciences

Language of instruction

English

Code

COMP.CS.320

Study fields

Data Processing and Information Technology

Mode of study

Contact teaching

Study level

Intermediate studies

Data-Intensive Programming, 5 cr

Code: COMP.CS.320

Language of instruction: English

Description

Prerequisites

Teaching material

Assessment methods

Contact information

How to apply

Apply for Open University studies by using the following links:

COMP.CS.320 Data-Intensive Programming, lectures, Tampere

You can find a link to the Open University Admissions service and application instructions on the Applying to Open University studies page.

Some of the studies require prior studies. For example, studying intermediate studies may require some completed basic studies. These are described on the Information about studies tab of the study unit under prior requirements.

When you have been admitted to the studies, you must enrol separately via the Sisu information system for the implementation of the unit of study and, for example if set, for a practise group of your choice. You will receive instructions on how to do this by e-mail after you have confirmed your acceptance of the study place by paying the required fee.

Data-Intensive Programming, Lectures

Extent

Course dates

Application period

Fees

Campus

City

Faculty or school

Language of instruction

Code

Study fields

Mode of study

Study level

Data-Intensive Programming, 5 cr

Description

Contents

Core content

Complementary knowledge

Specialist knowledge

Prerequisites

Prerequisites

Prerequisite

Prerequisite

Teaching material

Book

Book

Assessment methods

Contact information

How to apply

Payment terms

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Data-Intensive Programming, Lectures