1. Recognize and define key concepts and terminology related to entrepreneurship.
2. Analyze and evaluate entrepreneurial ideas, especially for AI-based, innovative products, processes or services based on advanced technologies or scientific inventions.
3. Consider issues of Intellectual Property (IP) and IP protection.
4. Understand Business Planning and create Business Plans.
5. Define and apply techniques for market analysis, product design, value proposition definition, and customer acquisition.
6. Explore and apply methodologies and tools for innovative entrepreneurship, such as the Disciplined Entrepreneurship Methodology, the Lean Product Methodology, and the Business Model Canvas.
Explore and apply techniques for creative ideation and design of software applications, products and services, such as Design Thinking, Innovators’ Compass, and Sprint.
7. Understand the challenges of team formation and management.
8. Use state-of-the-art collaboration, ideation and rapid prototyping tools.
9. Prepare pitch-decks and present ideas in front of investors to attract funding.
10. Understand and explain the interplay between Big Data, Machine Learning and various application domains.
11. Recognize and undertake the steps of the Disciplined Entrepreneurship methodology, and manage the key activities required to bring an innovative product or service to the market:
    • product definition and market segmentation;
    • value proposition analysis and high-level product specification;
    • market and competition analysis;
    • business model definition and revenue models;
    • customer and user acquisition;
    • pricing strategies for a product, process or service;
    • minimum viable product definition and product implementation planning.
12. Understand the basics of fundraising, financing, and ownership for a startup.
13. Understand the key challenges for attracting talent, establishing and managing a startup team.
14. Prepare pitch decks, and pitch in front of potential investors, an ΑΙ-related business idea/product/service.

Students will meet the expected learning outcomes through participation to lectures, invited talks, active participation to class discussions, reviewing videos, reading and writing assignments, and actual practice with innovation and entrepreneurship methodologies. The course comprises 3 hours of weekly lectures, 1 hour of recitation, reading and writing assignments, and a semester-long group project in entrepreneurship. Participation of lectures and recitation is obligatory.

In summary, the teaching and learning methods are the following:

1. Active participation to Lectures, where the main concepts and methodologies covered by the course are presented and critically appraised. Students are required to review and study the materials for each lecture, as defined in the Course Schedule, and actively participate in class.
2. Participation to Recitation, where students will expand on topics covered in the Lectures through:
   • Guest Lectures and Seminars, which are part of the Series of Lectures in Innovation and Entrepreneurship (KEP101) of the Centre for Entrepreneurship, and bring to campus distinguished entrepreneurs and experts in various aspects of relevance to entrepreneurship.
   • Open discussion, student presentations, and viewing and discussing of relevant online material.
3. Case studies, where students working in groups of 3-4 people will undertake the study of a chapter from the book by Kai-Fu Lee and Chen Qiufan, "AI 2041: Ten Visions for Our Future", will identify a business opportunity arising from the chapter's story, and will prepare and present a business model canvas for a startup targeting that opportunity.
4. Group projects, where each team of students is expected to develop an idea with a strong exploitation potential through a business venture or a social enterprise. The teams are required to undertake all necessary activities to develop a strong business plan, prepare a final oral presentation to seek funding (Venture Capital pitch), and present their pitch in class and at the Student Innovators Competition (SINN 2023) and/or other competitions approved by the professor.

1. Class and Recitation participation: 4 hours per week for 13 weeks, totalling to 52 hours.
2. Study at home: 2 hours per week for 14 weeks, totalling 28 hours.
3. Case Study: 25 hours.
4. Final presentation: 30 hours.
5. Group project Final Report: 70 hours

• Κάθε φοιτητής δικαιούται να παρακολουθεί τις διαλέξεις και τα εργαστήρια χωρίς ενοχλήσεις και αδικαιολόγητες διακοπές. Παρακαλούνται λοιπόν όλοι να διαφυλάξουν το δικαίωμα αυτό, σεβόμενοι τον χρόνο ενάρξεως και λήξεως των μαθημάτων, την καθαριότητα των αμφιθεάτρων και των εργαστηριακών χώρων και γενικώς την ακαδημαϊκή ελευθερία.
• Plagiarism is strongly prohibited.
• You will not get any credit for late submissions. We will grant extensions only in the case of illness (with a doctor's note) or extraordinary circumstances. Please let us know ahead of time if illness or an extraordinary circumstance will cause you to submit a writeup or paper late, then you should discuss the matter with your instructor as soon as possible.