Beginner's Guide to Informatics and Artificial Intelligence

Embark on a transformative learning journey with this book, a concise and engaging short course for those taking their first steps into the realms of information science and AI. Ideal for undergraduates, graduates, and professionals, this book lays a sturdy foundation upon which readers can build whether their aim is to undertake research projects, pursue a career in technology, or simply understand the workings of the digital age.

The learning objectives are:

* Foundational understanding: Build a sturdy foundation by introducing basic concepts and gradually progressing to advanced topics.

* Practical problem-solving: Foster the ability to solve real-world problems through guided exercises and application-oriented learning.

* Holistic knowledge: Provide a holistic understanding of information science and AI, empowering learners to contribute meaningfully to the future of these disciplines.

The key features are:

* Comprehensive coverage: Explore computer science basics to advanced AI techniques for a holistic understanding of the field.

* Engaging writing style: Complex concepts made approachable for beginners without sacrificing depth.

* Bridging theory with application: Real-world scenarios illustrate and encourage practical applications.

* Practical exercises: Guided hands-on exercises develop problem-solving skills, ensuring a practical understanding of the material.

* Enriched learning experience: Vivid examples, flowcharts, and interactive elements bring concepts to life. E-lectures of the book "Informatics and Artificial Intelligence for Beginners I & II" will be released on Springer Video soon to further enhance the learning experience.