A Beginner's Guide to Informatics and Artificial Intelligence A Short Course Towards Practical Problem Solving

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.