Preface; References; Acknowledgements; Notations; Acronyms; Part I. Classical Information: 1. Uncertainty, information, and entropy; 2. Information quantification by asking, compressing, or sampling: Shannon entropy; 3. Information quantification by predicting or guessing: Tsallis entropy and Rényi entropy; 4. Relative entropy; Part II. Quantum Information: 5. From classical to quantum information; 6.

Quantum uncertainty: measured entropy, coherence, and the uncertainty principle; 7. Classical and quantum uncertainty: mixed states and quantum entropy; 8. Quantum relative entropy; Part III. Dynamic Information: 9. Dynamic classical information; 10. Quantum dynamic information in closed systems; 11. Quantum dynamic information in open systems; Part IV. Bipartite Classical Information: 12.

Bipartite classical information as correlation; 13. Bipartite classical information via residual uncertainty; Part V. Bipartite Quantum Information: 14. Bipartite classical and quantum Information for pure states; 15. Bipartite dynamic classical and quantum information for pure states; 16. Bipartite quantum and classical information for mixed states; Part VI. Multipartite Classical and Quantum Information: 17. A brief introduction to tensor networks; 18.

Multipartite classical information: fragmentation, scale, and strength; 19. Multipartite classical information: structure; 20. Multipartite quantum information: fragmentation, scale, and strength; 21. Multipartite quantum information: structure; Index.