printer friendly pageCS 107E: Computer Systems from the Ground Up
Introduction to the fundamental concepts of computer systems through bare metal programming on the Raspberry Pi. Explores how five concepts come together in computer systems: hardware, architecture, assembly code, the C language, and software development tools. Students do all programming with a Raspberry Pi kit and several add-ons (LEDs, buttons). Topics covered include: the C programming language, data representation, machine-level code, computer arithmetic, compilation, memory organization and management, debugging, hardware, and I/O. Enrollment limited to 40. Check website for details:
http://cs107e.stanford.edu on student selection process. Prerequisite: CS106B or
CS106X, and consent of instructor. There is a $75 course lab fee. Students may not earn credit for both
CS 107 and
CS 107E.
Terms: Aut, Win
| Units: 3-5
| UG Reqs: WAY-FR
CS 349H: Software Techniques for Emerging Hardware Platforms (EE 292Y)
Research seminar on software techniques for emerging computational substrates with guest lectures from hardware designers from research and industry. This seminar explores the benefits of novel hardware technologies, the challenges gating broad adoption of these technologies, and how software techniques can help mitigate these challenges and improve the usability of these hardware platforms. Note that the computational substrates discussed vary depending on the semester. Topics covered include: In-memory computing platforms, dynamical system-solving mixed-signal devices, exible and bendable electronics, neuromorphic computers, intermittent computing platforms, ReRAMs, DNA-based storage, and optical computing platforms. Prerequisites: CS107 or
CS107E (required) and
EE180 (recommended).
Terms: Aut
| Units: 3
Instructors:
Achour, S. (PI)
;
Yi, P. (TA)
EE 292Y: Software Techniques for Emerging Hardware Platforms (CS 349H)
Research seminar on software techniques for emerging computational substrates with guest lectures from hardware designers from research and industry. This seminar explores the benefits of novel hardware technologies, the challenges gating broad adoption of these technologies, and how software techniques can help mitigate these challenges and improve the usability of these hardware platforms. Note that the computational substrates discussed vary depending on the semester. Topics covered include: In-memory computing platforms, dynamical system-solving mixed-signal devices, exible and bendable electronics, neuromorphic computers, intermittent computing platforms, ReRAMs, DNA-based storage, and optical computing platforms. Prerequisites: CS107 or
CS107E (required) and
EE180 (recommended).
Terms: Aut
| Units: 3
Instructors:
Achour, S. (PI)
;
Yi, P. (TA)
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