Intellectual Property and Data Protection
Course code
old course code
Course title in Estonian
Intellektuaalne omand ja andmekaitse
Course title in English
Intellectual Property and Data Protection
ECTS credits
Assessment form
lecturer of 2022/2023 Autumn semester
Tanel Õunapuu (language of instruction:Estonian)
lecturer of 2022/2023 Spring semester
Not opened for teaching. Click the study programme link below to see the nominal division schedule.
Course aims
Based on current legislation to give an overview of intellectual property rights (IPR) and data protection as well as legal instruments connected to them, so that after completing the course a student is able to understand and assess the legal issues resulting from intellectual activity, is familiar with the general terms of a licence agreement and understands the principles of devision of rights between the employer and employee and the main requirements for data protection.
Brief description of the course
IPR concept, legal grounds, duration and instruments. Copyright: author, works protected, material and immaterial rights. Related rights. The rights of makers of databases. Free use of works. Linking. Industrial property: protection of inventions, software as an invention. Estonian patent system. International patents (PCT, European Patent, patents of the USA). Industrial design. Trademark, circumstances which preclude legal protection. DNS. Trade secrets, know-how, confidentiality. IPR and law of agreements, licenses. Standard terms and free use of works. IPR and labour law: rights of the employer and employee. Setteling of disputes. IPR and criminal law. Taxation of transactions. Data protection. Information society services. The course consists of lectures and seminars.
Learning outcomes in the course
Upon completing the course the student:
- has knowledge of the essence of IPR and its terminology and main aspects of data handling;
- has ability to assess legal risks as an author as well as the user of intellectual property;
- has ability to assess legal aspects of data handling.

Tanel Õunapuu