000 | 01770cam a22003015i 4500 | ||
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001 | 21676686 | ||
005 | 20241210124214.0 | ||
006 | m |o d | | ||
007 | cr ||||||||||| | ||
008 | 180821s2018 gw |||| o |||| 0|eng | ||
010 | _a 2019744600 | ||
020 | _a9783319979403 | ||
040 |
_benglish _cAmrita Vishwa Vidyapeetham |
||
082 | 0 | 4 | _a004 Q80 |
100 | 1 | _aFerragina, Paolo. | |
245 | 1 | 0 |
_aComputational Thinking : _bFirst Algorithms, Then Code / _cby Paolo Ferragina, Fabrizio Luccio. |
250 | _a1st ed. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2018. |
|
300 |
_aVIII, 174 p. _eIncludes Index. |
||
520 | _aThis book offers a gentle motivation and introduction to computational thinking, in particular to algorithms and how they can be coded to solve significant, topical problems from domains such as finance, cryptography, Web search, and data compression. The book is suitable for undergraduate students in computer science, engineering, and applied mathematics, university students in other fields, high-school students with an interest in STEM subjects, and professionals who want an insight into algorithmic solutions and the related mindset. While the authors assume only basic mathematical knowledge, they uphold the scientific rigor that is indispensable for transforming general ideas into executable algorithms. A supporting website contains examples and Python code for implementing the algorithms in the book. | ||
546 | _aEnglish | ||
650 | 0 | _aAlgorithms. | |
650 | 0 |
_aComputer Thinking _9212 |
|
650 | 0 | _aSoftware engineering. | |
650 | 1 | 4 | _aAlgorithm Analysis and Problem Complexity. |
650 | 2 | 4 | _aSoftware Engineering/Programming and Operating Systems. |
942 |
_2udc _cBK _n0 |
||
999 |
_c4398 _d4398 |