Category: Textbooks

Torrington: Human Resource Management (10th edition)
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Original price was: $88.50.Current price is: $8.00.
Torrington’s Human Resource Management 10th edition is a highly engaging PDF textbook on the theory and practice of HRM that is strongly recommended to both HR students and professionals. — Dr. Aikaterini Koskina, UG Course Director for HRM, Keele University This updated 10th edition has been thoroughly updated with the
Writing Your Journal Article in Twelve Weeks: A Guide to Academic Publishing Success (2nd Edition) - eBook
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Original price was: $56.16.Current price is: $9.00.
With this new edition, Belcher expands her opinion to reach beginning scholars in even more disciplines. She builds on feedback from graduate students and professors who have successfully used the workbook to complete their articles. A new chapter talks about scholars who are writing from scratch. This edition also includes
Technical Communication with 2016 MLA Update (11th Edition) PDF
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Original price was: $125.99.Current price is: $11.00.
This title has been updated to reflect the 2016 MLA updates! Our editorial team has updated this textbook based on content from The MLA Handbook, 8th Edition. Browse our catalog or contact your representative for a full listing of updated titles and packages. Instructors know that Mike Markel’s Technical Communication
Moral Psychology with Nietzsche - eBook
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Original price was: $51.99.Current price is: $8.00.
In Moral Psychology with Nietzsche (PDF), Brian Leiter defends a set of radical ideas from Nietzsche: there is no objectively true morality, no one is ever morally responsible, there is no free will, and our conscious thoughts and reasoning play almost no major role in our actions and how our lives
Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications - eBook
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Original price was: $112.99.Current price is: $17.00.
Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications, (PDF) provides a critical training and resource tool to help engineers understand machine learning theory and practice, particularly referencing use cases in oil and gas. The reference moves from describing how Python