What This Document Is
This collection comprises problem sets spanning several weeks of an upper-level Information Theory course (ESE 523) at Washington University in St. Louis, specifically from the 2013 semester. These assignments are designed to reinforce understanding of core concepts through practical application. The sets cover a progression of topics central to the field, building from foundational principles to more complex analyses. Expect a focus on mathematical problem-solving and theoretical exercises related to information measurement, coding, and related areas.
Why This Document Matters
This resource is invaluable for students currently enrolled in, or planning to take, a rigorous Information Theory course. It’s particularly helpful for those who learn best by *doing* – actively working through problems to solidify their grasp of the material. These problem sets can also serve as excellent practice for students preparing for exams or seeking to deepen their understanding beyond lectures and textbook readings. Individuals reviewing the fundamentals of information theory and seeking challenging practice problems will also find this collection beneficial.
Common Limitations or Challenges
This document *does not* include solutions or worked examples. It presents only the problem statements themselves. It assumes a foundational understanding of probability, statistics, and potentially some prior exposure to signal processing concepts. While the problem sets are linked to specific chapters, the textbook itself is not included. This is a practice resource, and won’t function as a standalone learning tool without accompanying course materials.
What This Document Provides
* A series of problem sets, numbered sequentially from two through seven.
* Clearly stated due dates for each assignment (from the original 2013 course schedule).
* Categorization of problems as “Suggested” or “Required” for each set, indicating the scope of the assignment.
* References to specific problem numbers within chapters, allowing you to identify the relevant material.
* Coverage of chapters 3 through 8, representing a substantial portion of a typical Information Theory curriculum.
