Discovering Computer Science: Interdisciplinary Problems, Principles, And Python Programming (chapman & Hall/crc Textbooks In Computing)
by Jessen Havill /
2015 / English / PDF
64.2 MB Download
Discovering Computer Science: Interdisciplinary Problems,
Principles, and Python Programming
Discovering Computer Science: Interdisciplinary Problems,
Principles, and Python Programming introduces
computational problem solving as a vehicle of discovery in a wide
variety of disciplines. With a principles-oriented introduction
to computational thinking, the text provides a broader and deeper
introduction to computer science than typical introductory
programming books.
introduces
computational problem solving as a vehicle of discovery in a wide
variety of disciplines. With a principles-oriented introduction
to computational thinking, the text provides a broader and deeper
introduction to computer science than typical introductory
programming books.
Organized around interdisciplinary problem domains, rather than
programming language features, each chapter guides students
through increasingly sophisticated algorithmic and programming
techniques. The author uses a spiral approach to introduce Python
language features in increasingly complex contexts as the book
progresses.
Organized around interdisciplinary problem domains, rather than
programming language features, each chapter guides students
through increasingly sophisticated algorithmic and programming
techniques. The author uses a spiral approach to introduce Python
language features in increasingly complex contexts as the book
progresses.
The text places programming in the context of fundamental
computer science principles, such as abstraction, efficiency, and
algorithmic techniques, and offers overviews of fundamental
topics that are traditionally put off until later courses.
The text places programming in the context of fundamental
computer science principles, such as abstraction, efficiency, and
algorithmic techniques, and offers overviews of fundamental
topics that are traditionally put off until later courses.
The book includes thirty well-developed independent projects that
encourage students to explore questions across disciplinary
boundaries. Each is motivated by a problem that students can
investigate by developing algorithms and implementing them as
Python programs.
The book includes thirty well-developed independent projects that
encourage students to explore questions across disciplinary
boundaries. Each is motivated by a problem that students can
investigate by developing algorithms and implementing them as
Python programs.
The book's accompanying website ― http://discoverCS.denison.edu ―
includes sample code and data files, pointers for further
exploration, errata, and links to Python language
references.
The book's accompanying website ― http://discoverCS.denison.edu ―
includes sample code and data files, pointers for further
exploration, errata, and links to Python language
references.
Containing over 600 homework exercises and over 300 integrated
reflection questions, this textbook is appropriate for a first
computer science course for computer science majors, an
introductory scientific computing course or, at a slower pace,
any introductory computer science course.
Containing over 600 homework exercises and over 300 integrated
reflection questions, this textbook is appropriate for a first
computer science course for computer science majors, an
introductory scientific computing course or, at a slower pace,
any introductory computer science course.