The Hardware/Software Interface
link Source: www.coursera.org
list 8 sequences
assignment Level : Introductory
chat_bubble_outline Language : English
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Key Information

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timer 80 hours in total

About the content

Examines key computational abstraction levels below modern high-level languages. From Java/C to assembly programming, to basic processor and system organization.

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Syllabus

This course should develop students’ sense of “what really happens” when software runs — and convey that this question can be answered at several levels of abstraction, including the hardware architecture level, the assembly level, the C programming level and the Java programming level. The core around which the course is built is C, assembly, and low-level data representation, but this is connected to higher levels (roughly how basic Java could be implemented), lower levels (the general structure of a processor), and the role of the operating system (but not how the operating system is implemented). For (computer science) students wanting to specialize at higher levels of abstraction, this could in the extreme be the only course they take that considers the “C level” and below. However, most will take a subset of Systems Programming, Hardware Design and Implementation, Operating Systems, Compilers, etc. For students interested in hardware, embedded systems, computer engineering, computer architecture, etc., this course is the introductory course after which other courses will delve both deeper (into specific topics) and lower (into hardware implementation, circuit design, etc.). The course has three principal themes:
  • Representation: how different data types (from simple integers to arrays of data structures) are represented in memory, how instructions are encoded, and how memory addresses (pointers) are generated and used to create complex structures.
  • Translation: how high-level languages are translated into the basic instructions embodied in process hardware with a particular focus on C and Java.
  • Control flow: how computers organize the order of their computations, keep track of where they are in large programs, and provide the illusion of multiple processes executing in parallel.
At the end of this course, students should:
  • understand the multi-step process by which a high-level program becomes a stream of instructions executed by a processor;
  • know what a pointer is and how to use it in manipulating complex data structures;
  • be facile enough with assembly programming (X86) to write simple pieces of code and understand how it maps to high-level languages (and vice-versa);
  • understand the basic organization and parameters of memory hierarchy and its importance for system performance;
  • be able to explain the role of an operating system;
  • know how Java fundamentally differs from C;
  • grasp what parallelism is and why it is important at the system level; and
  • be more effective programmers (more efficient at finding bugs, improved intuition about system performance).
Topics:
  • Number representation
  • Assembly language
  • Basics of C
  • Memory management
  • Operating-system process model
  • High-level machine architecture
  • Memory hierarchy
  • Implementation of high-level languages
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Instructors

  • Luis Ceze - Computer Science & Engineering
  • Gaetano Borriello - Computer Science & Engineering
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Content Designer

University of Washington

Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world.

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Platform

Coursera

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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