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Computer Science: Algorithms, Theory, and Machines
Coursera
Course
Unknown

Computer Science: Algorithms, Theory, and Machines

Princeton University

This course introduces the broader discipline of computer science to people having basic familiarity with Java programming. It covers the second half of our book Computer Science: An Interdisciplinary Approach (the first half is covered in our Coursera course Computer Science: Programming with a Purpose, to be released in the fall of 2018). Our intent is to demystify computation and to build awareness about the substantial intellectual underpinnings and rich history of the field of computer sc

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About this Course

This course introduces the broader discipline of computer science to people having basic familiarity with Java programming. It covers the second half of our book Computer Science: An Interdisciplinary Approach (the first half is covered in our Coursera course Computer Science: Programming with a Purpose, to be released in the fall of 2018). Our intent is to demystify computation and to build awareness about the substantial intellectual underpinnings and rich history of the field of computer sc

What You'll Learn

  • اختيار خوارزمية وبنية بيانات مناسبة لمشكلة معينة
  • تفسير مبادئ الكفاءة والتعقيد بشكل عملي
  • ربط مفاهيم النظرية بنماذج الآلات والحساب
  • فهم أساسيات العتاد والمعمارية وتأثيرها على البرامج

Instructors

R

Robert Sedgewick

Computer Science

K

Kevin Wayne

Computer Science

Topics

Programming Principles
Algorithms
Theoretical Computer Science
Computational Logic
Scalability
Computer Hardware
Computer Architecture
Data Structures
Computer Science
Java Programming

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

خوارزميات
بنى بيانات
منطق حاسوبي
علوم حاسوب نظرية
معمارية الحاسوب
مبادئ البرمجة
قابلية التوسع
نماذج حسابية
Computer Science
Java Programming

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