Entrepreneurial Exploitation of Research Results and Intellectual Property
Program
Undergraduate
Area
Elective Courses from Other Sciences
Description
SYLLABUS
Seminar Sessions (plan):
1) Basics Characteristics and Types of Innovation, Statistics of Innovation
2) Innovation and Technological Change
3) Waves of Innovation
4) Trademarks, Industrial Designs, Copyrights, Geographical Indications
5) Software -Open Technologies
6) Preparation of Assignment-Presentations of Assignment
7) Patents- Technological Licenses
8) Industrial Property Organization, Copyright Organization / Informal Mid-Semester Test
9) The Institutional Framework for Intellectual Property in a Global, European and National Level
10) Intellectual Property and Entrepreneurship
11) The strong connection among research results, academia and entrepreneurship
12) Universities and Local Development: The crucial role of the development of Spin Offs and Start ups.
13) Disadvantages and negative effects of the academic entrepreneurship/ Final Preparation for Exams
LEARNING OUTCOMES
The module focuses in the strong connection among innovation, intellectual property and entrepreneurship. The first lessons emphasize the characteristics of innovation and the statistics of innovation. After that the module focuses in the cases of protection of intellectual property. The different types of intellectual property are analyzing. The aim is that intellectual property can create entrepreneurship. Finally the modules highlights the creative forms of interaction between research results and entrepreneurship.
The courses of the Computer Science Department are designated with the letters "CS" followed by three decimal digits. The first digit denotes the year of study during which students are expected to enroll in the course.
First Digit
Advised Year of Enrollment
1,2,3,4
First, Second, Third and Fourth year
5,6
Graduate courses
7,8,9
Specialized topics
Code
Computer Science Area
A1
Computer architecture and microelectronics
A2
Computer systems, parallel and high performance computing
A3
Computer security and distributed systems
A4
Computer networks, mobile computing, and telecommunications
B1
Algorithms and systems analysis
B2
Databases, information and knowledge management
B3
Software engineering and programming languages
B4
Artificial Intelligence and machine learning
C1
Signal processing and analysis
C2
Computer vision and robotics
C3
Computer graphics and human-computer interaction
C4
Βioinformatics, medical informatics, and computational neuroscience
The following pages contain tables (one for each course category) summarizing courses offered by the undergraduate studies program of the Computer Science Department at the University of Crete. Courses with code-names beginning with "MATH" or "PHYS" are taught by the Mathematics Department and Physics Department respectively at the University of Crete.