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Bundle: Federal Income Taxation in Focus, Third Edition and Connected Quizzing

Authors
  • Bobby L. Dexter
Series / Aspen Bundle Series
Description

Print Bundle - This bundle includes both print and digital versions of ISBN 9798894105628 as well as Connected Quizzing, ISBN 9781543814491.

Digital Bundle - This bundle includes a digital-only version of ISBN 9798894105635 as well as Connected Quizzing, ISBN 9781543814491.

The Third editionof Federal Income Taxation in Focus continues to prepare students for the rigors of sophisticated tax practice and the challenges of more advanced courses in federal tax law. Author Bobby L. Dexter's engaging narrative style and generous use of examples and illustrations make tax law more enjoyable and interesting for students. The concepts, rules, and technical nuances of tax law are presented within a clear and logical framework. Hands-on pedagogy such as Real Life Applications, Applying the Concepts, and Federal Income Taxation in Practice provide plenty of opportunities for students to exercise such practice-based skills as critical analysis, problem solving, drafting legal documents, and preparing appropriate filings. 


Bundle also includes Connected Quizzing. Delivered through CasebookConnect.com, Connected Quizzing is an easy-to-use formative assessment tool that tests law students’ understanding and provides timely feedback to improve learning outcomes. Connected Quizzing requires a Professor Course Code to access the quizzes.


 

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About the authors
Bobby Dexter
Professor
Chapman University

Bobby Dexter is Professor of Law at the Chapman University Dale E. Fowler School of Law where he teaches Federal Income Taxation, Taxation of Business Organizations, Business Associations, and Secured Transactions. He has also enjoyed several appointments as Visiting Professor of Law at the University of California (Irvine) School of Law. Prior to entering the academy, Professor Dexter served as a tax partner at Foley & Lardner, LLP and as principal at the international accounting firm, KPMG, LLP. An accomplished practitioner and pre-eminent tax expert, he co-authored the BloombergBNA Tax Management Portfolio on the taxation of life insurance company financial products. In addition to student scholarship appearing in the Harvard Law Review, his articles have been published in the peer-reviewed Pittsburgh Tax Review and leading law reviews at Denver University, the University of Pittsburgh, Tulane University, the University of Kansas, and Mercer University. Professor Dexter received his B.A., emmagna cum laudeem, from Yale University and his J.D. from Harvard Law School where he served on the Editorial Board of the emHarvard Law Reviewem.Bobby Dexter is Professor of Law at the Chapman University Dale E. Fowler School of Law where he teaches Federal Income Taxation, Taxation of Business Organizations, Business Associations, and Secured Transactions. He has also enjoyed several appointments as Visiting Professor of Law at the University of California (Irvine) School of Law.

Prior to entering the academy, Professor Dexter served as a tax partner at Foley & Lardner, LLP and as principal at the international accounting firm, KPMG, LLP. An accomplished practitioner and pre-eminent tax expert, he co-authored the BloombergBNA Tax Management Portfolio on the taxation of life insurance company financial products.

In addition to student scholarship appearing in the Harvard Law Review, his articles have been published in the peer-reviewed Pittsburgh Tax Review and leading law reviews at Denver University, the University of Pittsburgh, Tulane University, the University of Kansas, and Mercer University.

Professor Dexter received his B.A., magna cum laude, from Yale University and his J.D. from Harvard Law School where he served on the Editorial Board of the Harvard Law Review.

Product Information
Edition
Third Edition
Publication date
2026-02-01
Copyright Year
2026
Bundle: Print + eBook + Learning Assessment
9798899647475
Bundle: eBook + Learning Assessment
9798899647482
Subject
Taxation, Federal Income
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