1 Kagazahn

Engr 321 Homework Set 2016

FAQ

Is this the first time this class is offered?

This course was previously taught in Winter 2015 and Winter 2016. This year's version of the course has been tweaked and updated to include new material where appropriate. The class is designed to introduce students to deep learning in context of Computer Vision. We will place a particular emphasis on Convolutional Neural Networks, which are a class of deep learning models that have recently given dramatic improvements in various visual recognition tasks. You can read more about it in this recent New York Times article.

Can I take this course on credit/no cred basis?

Yes. Credit will be given to those who would have otherwise earned a C- or above.

Can I audit or sit in?

In general we are very open to sitting-in guests if you are a member of the Stanford community (registered student, staff, and/or faculty). Out of courtesy, we would appreciate that you first email us or talk to the instructor after the first class you attend. If the class is too full and we're running out of space, we would ask that you please allow registered students to attend.

Can I work in groups for the Final Project?

Yes, in groups of up to three people.

I have a question about the class. What is the best way to reach the course staff?

Stanford students please use an internal class forum on Piazza so that other students may benefit from your questions and our answers. If you have a personal matter, email us at the class mailing list cs231n-spring1617-staff@lists.stanford.edu.

Can I combine the Final Project with another course?

Yes, you may. There are a couple of courses concurrently offered with CS231n that are natural choices, such as CS231a (Computer Vision, by Prof. Silvio Savarese). Speak to the instructors if you want to combine your final project with another course.

Engr 321: Thermodynamics

SCHOOL OF ENGINEERING

Equilibrium, thermodynamic variables, equations of state, first and second laws of thermodynamics, single and multiphase systems.

3 Credits

Prerequisites

Instruction Type(s)

  • Lecture: Lecture for Engr 321
  • Lecture: Web-based Lecture for Engr 321

Course Fee(s)

Engineering 2

  • $50.00 when booked for:
    • Spring, Second Spring, May, Full Summer, First Summer, Second Summer, August 2016-17
    • Fall, First Fall, Second Fall, Winter, Spring, First Spring, Second Spring 2017-18

Online, Internet, or Web-based

Students may be required to pay additional fees to an outside vendor for identity verification prior to a proctored assessment.

  • $100.00 per 3 Semester Credit Hours when booked for:
    • Spring, Second Spring, May, Full Summer, First Summer, Second Summer, August 2016-17
    • Fall, First Fall, Second Fall, Winter, Spring, First Spring, Second Spring 2017-18

The policies and regulations contained in this online University of Mississippi Catalog are in effect for the current or selected semester. The catalog is not a contract, but rather a guide for the convenience of students. The University of Mississippi reserves the right to 1) change or withdraw courses; 2) change the fees, rules, and schedules for admission, registration, instruction, and graduation; and 3) change other regulations affecting the student body at any time. Implicit in each student’s enrollment with the university is an agreement to comply with university rules and regulations, which the university may modify to exercise properly its educational responsibility.

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