Programming By Case Studies
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Introduction to Programming Concepts with Case Studies in Python
Author: Göktürk Üçoluk
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-10-29
The current text provides a clear introduction to Computer Science concepts in a programming environment. It is designed as suitable use in freshman- or introductory level coursework in CS and provides the fundamental concepts as well as abstract theorems for solving computational problems. The Python language serves as a medium for illustrating and demonstrating the concepts.
Case Studies in Project, Program, and Organizational Project Management
Author: Dragan Z. Milosevic
language: en
Publisher: John Wiley & Sons
Release Date: 2011-08-17
The ever expanding market need for information on how to apply project management principles and the PMBOK® contents to day-to-day business situations has been met by our case studies book by Harold Kerzner. That book was a spin-off from and ancillary to his best selling text but has gained a life of its own beyond adopters of that textbook. All indications are that the market is hungry for more cases while our own need to expand the content we control, both in-print and online woudl benefit from such an expansion of project management "case content". The authors propose to produce a book of cases that compliment Kerzner's book. A book that offers cases beyond the general project management areas and into PMI®'s growth areas of program management and organizational project management. The book will be structured to follow the PMBOK in coverage so that it can not only be used to supplement project management courses, but also for self sudy and training courses for the PMP® Exam. (PMI, PMBOK, PMP, and Project Management Professional are registered marks of the Project Management Institute, Inc.)
Paradigms of Artificial Intelligence Programming
Paradigms of AI Programming is the first text to teach advanced Common Lisp techniques in the context of building major AI systems. By reconstructing authentic, complex AI programs using state-of-the-art Common Lisp, the book teaches students and professionals how to build and debug robust practical programs, while demonstrating superior programming style and important AI concepts. The author strongly emphasizes the practical performance issues involved in writing real working programs of significant size. Chapters on troubleshooting and efficiency are included, along with a discussion of the fundamentals of object-oriented programming and a description of the main CLOS functions. This volume is an excellent text for a course on AI programming, a useful supplement for general AI courses and an indispensable reference for the professional programmer.