Michael Amanfi (27 results)

Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

Paperback. Condition: Very Good. This book is a significant step towards helping doctoral learners write better proposals and the final dissertation. The book walks the learner through all the sections of my dissertation and describes, paragraph-by-paragraph, how each section may be written succinctly and correctly. Although my original dissertation was a qualitative single case study, students can relate the step-by-step directions in the book to their own qualitative studies regardless of their specific research design. Although the book benefits all learners pursuing qualitative studies, those pursuing a case study design, or a descriptive design would benefit the most. If you are planning to use the thematic data analysis in your qualitative study, you will find this book most helpful. I also recommend that you get the 4-Step Thematic Data Analysis with MAXQDA textbook for the complete, step-by-step walk-through of how to analyze your qualitative data. This book covers Chapters 1 through 3; it is aimed at those working on the Prospectus or the Proposal.…

Paperback. Condition: Very Good.

Paperback. Condition: Very Good.

Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condition: Very Good. Very Good Condition. Five star seller - Buy with confidence.

paperback. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Condition: New.

Condition: As New. Unread book in perfect condition.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Condition: New.

Condition: As New. Unread book in perfect condition.

Condition: acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may be missing bundled media.

Paperback. Condition: new. New Copy. Customer Service Guaranteed.

paperback. Condition: New. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

Soft cover. Condition: New.

Condition: New. 2019. paperback. . . . . .

Condition: New. 2019. paperback. . . . . . Books ship from the US and Ireland.

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. This comprehensive guide reframes artificial intelligence not as a threat to software developers but as a powerful amplifier that fundamentally redefines their role. The modern development environment has evolved from reactive to anticipatory, with AI copilots like GitHub Copilot and Amazon CodeWhisperer transforming coding from a solitary craft into a collaborative partnership. Rather than replacing developers, AI shifts their focus from pure coding to becoming curators, strategists, and accountability stewards who validate AI contributions and ensure system sustainability. This human AI collaboration creates a hybrid intelligence that dramatically shortens development cycles while demanding new forms of transparency, rigorous oversight, and adapted team workflows. The book positions this relationship as pair programming at scale, where humans provide intent, judgment, and ethical oversight while AI delivers speed, pattern recognition, and comprehensive scope. Despite AI's capabilities, mastering programming fundamentals remains crucial for evaluating AI outputs, detecting design flaws, and maintaining system integrity. The book emphasizes that concepts like abstraction, data structures, and algorithmic complexity aren't obsolete but essential for preventing developers from becoming mere AI operators. A critical new competency is prompt engineering, the art of writing precise, structured prompts that yield context-aware outputs, which the book treats as a new form of programming literacy. While AI assists with code generation, debugging, testing, and architecture scaffolding, developers must validate all outputs and retain ownership of design decisions. The job market now values AI literacy as a core competency, with new roles emerging, such as prompt engineers and AI auditors. Evaluation criteria have shifted from syntax mastery to adaptability, creativity, and ethical awareness, making soft skills like communication and systems thinking crucial advantages. The central thesis is that success in the AI era isn't measured by lines of code written but by the ability to harness intelligent tools to create sustainable, ethical, and user-centered systems. Developers are evolving into orchestrators of hybrid intelligence who balance innovation with responsibility. The book champions continuous learning beyond traditional computer science, exploring design, psychology, and ethics, as these human-entered skills become more valuable as AI handles routine tasks. By mastering fundamentals, embracing AI collaboration, and maintaining a growth mindset, software engineers can shape technology's future in ways that reflect human values and imagination, focusing on higher-order thinking and system design while AI handles implementation details. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Condition: New. Print on Demand.

Paperback. Condition: new. Paperback. This comprehensive guide reframes artificial intelligence not as a threat to software developers but as a powerful amplifier that fundamentally redefines their role. The modern development environment has evolved from reactive to anticipatory, with AI copilots like GitHub Copilot and Amazon CodeWhisperer transforming coding from a solitary craft into a collaborative partnership. Rather than replacing developers, AI shifts their focus from pure coding to becoming curators, strategists, and accountability stewards who validate AI contributions and ensure system sustainability. This human AI collaboration creates a hybrid intelligence that dramatically shortens development cycles while demanding new forms of transparency, rigorous oversight, and adapted team workflows. The book positions this relationship as pair programming at scale, where humans provide intent, judgment, and ethical oversight while AI delivers speed, pattern recognition, and comprehensive scope. Despite AI's capabilities, mastering programming fundamentals remains crucial for evaluating AI outputs, detecting design flaws, and maintaining system integrity. The book emphasizes that concepts like abstraction, data structures, and algorithmic complexity aren't obsolete but essential for preventing developers from becoming mere AI operators. A critical new competency is prompt engineering, the art of writing precise, structured prompts that yield context-aware outputs, which the book treats as a new form of programming literacy. While AI assists with code generation, debugging, testing, and architecture scaffolding, developers must validate all outputs and retain ownership of design decisions. The job market now values AI literacy as a core competency, with new roles emerging, such as prompt engineers and AI auditors. Evaluation criteria have shifted from syntax mastery to adaptability, creativity, and ethical awareness, making soft skills like communication and systems thinking crucial advantages. The central thesis is that success in the AI era isn't measured by lines of code written but by the ability to harness intelligent tools to create sustainable, ethical, and user-centered systems. Developers are evolving into orchestrators of hybrid intelligence who balance innovation with responsibility. The book champions continuous learning beyond traditional computer science, exploring design, psychology, and ethics, as these human-entered skills become more valuable as AI handles routine tasks. By mastering fundamentals, embracing AI collaboration, and maintaining a growth mindset, software engineers can shape technology's future in ways that reflect human values and imagination, focusing on higher-order thinking and system design while AI handles implementation details. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condition: New. Print on Demand.