The course is structured in four sections with each section being structured in separate sub-sections
SECTION 1 - INTRODUCTION TO THE BUSINESS LIFESTYLE
Entrepreneurship: A Global Social Movement (Chapter 1 of the Core Textbook)
Doing Business (Chapter 2 of the Basic Handbook)
Developing an Entrepreneurial Mindset (Chapter 3 of the Core Textbook)
SECTION 2 - CREATING AND DISCOVERING OPPORTUNITIES
Generating new ideas (Chapter 5 of the core textbook)
Leveraging Design Thinking (Chapter 6 of the Core Textbook)
Market testing and experimentation (Chapter 7 of the core textbook)
SECTION 3 - ASSESSMENT AND EXploitation of OPPORTUNITIES
Building Business Models (Chapter 8 of the Core Textbook)
Business plan (Chapter 9 of the core textbook)
Creating Revenue Models (Chapter 10 of the Core Textbook)
Learning from failure (Chapter 11 of the core textbook)
SECTION 4 - SECURING RESOURCES FOR NEW OPPORTUNITIES
Funding for Startups (Chapter 13 of the Core Textbook)
Advancing and persuasively presenting an idea (Chapter 16 of the core textbook)
Learning outcomes
Upon completion of the course students will be able to understand:
1/ The background required for the exploitation of value-added technological innovations aimed at the development of start-ups.
2/ The ways through which entrepreneurship creates added value, employment, outward competitiveness and sustainable development.
3/ The ways through which the business strategy is in continuous feedback with the structure, organization and management of the business.
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.