The Computing Technology Inside Your Smartphone

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Free Online Course: The Computing Technology Inside Your Smartphone provided by edX is a comprehensive online course, which lasts for 10 weeks long. The course is taught in English and is free of charge. The Computing Technology Inside Your Smartphone is taught by Dave Albonesi.

Overview
  • We use our smartphones to communicate, to organize our lives, to find information, and to entertain ourselves. All of this is possible because a smartphone contains a powerful computer processor, which is the subject of this course. This computer science course starts by moving step-by-step through the fundamental layers of computing technology, from binary numbers to application software, and then covers advanced performance techniques and the details of actual smartphone processors.

    Learn about:

    • Digital logic
    • Computer organization
    • Instruction sets
    • Application Software
    • Advanced performance techniques
    • Actual smartphone processors

    This Course also provides students with the technical knowledge and the Jade design tool experience to succeed in the more advanced MITx 6.004 MOOC - Computation Structures course sequence.

Syllabus
  • Week 1: Introduction and Digital Logic

    • Overview
    • Inside Smartphone
    • Big Ideas
    • Numbers

    Week 2: Digital Logic (cont'd)

    • Operations
    • Transistors and Gates

    Week 3: Digital Logic (cont'd)

    • Muxes and Decoders
    • Adders

    Week 4: Digital Logic (cont'd)

    • Storage
    • Finite State Machines

    Week 5: Computer Organization

    • Stored Program Computer
    • LC-3 Instructions
    • LC-3

    Week 6: Computer Organization (cont'd)

    • Instructional Set Architecture
    • ISA 2

    Week 7: Computer Organization (cont'd)

    • ARM ISA
    • LC-3 Control

    Week 8: Programming

    • Programming to Solve Problems
    • Assembly Language
    • Input/Output (I/O)
    • C Programming

    Week 9: Performance

    • Pipelining
    • Hazards
    • Instruction Level Parallelism
    • Thread Level Parallelism
    • Data Level Parallelism

    Week 10: Performance (cont'd)

    • Caches
    • Multicore
    • Permanent Storage
    • Snapdragon
    • Conclusion