Grade reports for assign0 Fri Apr 13 by Julie Thanks to our TA crew for turning these around so fast! We sent an email to your email@example.com address with a link to your online grade report. You can also access reports from the Gradebook. Median score was 20/20 -- way to go on snapping up those points!
Code reading for lecture Thu Apr 12 by Julie Code, code, and more code! Lectures will continue on with more hardcode C. See my note on Piazza about previewing code before lecture to help navigate the tricky waters ahead.
assign0 posted Tue Apr 3 by Michael Assignment 0 has been posted, due Mon 4/9. This small assignment is designed to help you get your feet wet with unix and introduce you to some of the tools you'll be using throughout the quarter.
Welcome all! Fri Mar 30 by Julie Our first lecture is Monday April 2nd 12:30pm in NVidia Auditorium. We are looking forward to meeting you and starting off a great quarter together!
Website up for spring quarter Fri Mar 30 by Julie Please come on in and browse around! Curious to know if lecture is recorded this quarter, what textbook we will use, or other logistics? The FAQ under the "Getting Help" menu above answers common questions from prospective students. Our piazza forum is also open for business if you want to spark a conversation or ask a question.
CS107 is the third course in Stanford's introductory programming sequence. Our CS106 courses provide students with a solid foundation in programming methodology and abstractions and CS107 follows on to build up their programming maturity and expand breadth and depth of experience. The course will work from the C programming language down to the microprocessor to de-mystify the machine. With a complete understanding of how computer systems execute programs and manipulate data, you will become a more effective programmer, especially in dealing with issues of debugging, performance, portability, and robustness. Topics covered include: the C programming language, data representation, machine-level code, computer arithmetic, elements of code compilation, optimization of memory and runtime performance, and memory organization and management.
The class has two lectures a week and a weekly lab designed for hands-on learning and experimentation. There will be significant programming assignments and you can expect to work hard and be challenged by this course. Your effort can really pay off - once you master the machine and advance your programming skills to the next level, you will have powerful mojo to bring to any future project!
Lectures: Mon & Fri 12:30-1:50pm in Nvidia Aud
Labs: Tue/Wed/Thu various times Gates B08