Skip to content

Commit 491feaf

Browse files
authored
Update intro.md
added CC BY license. Also updated the course number to MA 26190
1 parent faab7e1 commit 491feaf

File tree

1 file changed

+7
-2
lines changed

1 file changed

+7
-2
lines changed

book/intro.md

Lines changed: 7 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -2,9 +2,9 @@
22
## The Data Science Labs on Multivariable Calculus
33
**By Kindyl King and Mireille Boutin with Alden Bradford and Julia Long**
44

5-
Welcome to MA29000, The Data Science Labs on Multivariable Calculus! This is a one credit course to accompany Calculus 3, during which you will discover applications of multivariable calculus to data science. You will also practice programming in Python and using Arduino sensors and microprocessors to acquire data.
5+
Welcome to MA26190, The Data Science Labs on Multivariable Calculus! This is a one credit course to accompany Calculus 3, during which you will discover applications of multivariable calculus to data science. You will also practice programming in Python and using Arduino sensors and microprocessors to acquire data.
66

7-
This course requires no work outside of the lab. There is no homework, no quizzes, no tests, and no exams. All work is performed during the 150 minutes spent in the lab each week. Calculus 3 is a co-requisite for taking this course. MA16290 is a pre-requisite, but it can be waived if you have experience in Pytho
7+
This course requires no work outside of the lab. There is no homework, no quizzes, no tests, and no exams. All work is performed during the 150 minutes spent in the lab each week. Calculus 3 is a co-requisite for taking this course. MA16290 is a pre-requisite, but it can be waived if you have experience in Python
88

99
Purdue students: You can earn Honors credit for Calculus 3 by taking this lab. See syllabus for details.
1010
<br>
@@ -42,3 +42,8 @@ If you have any questions or are experiencing any difficulties during these labs
4242
## Acknowledgements
4343

4444
The development of this course was supported by Purdue’s College of Engineering Honors Program and Purdue's Department of Mathematics. We thank Prof. Alina Alexeenko, Prof. Eric Nauman , Prof. Kristina Bross, Prof. Milind Kulkarni, Prof. Uli Walther and Dr. Natasha Duncan for their invaluable input and support. Also thank you to Ben Manning for help making the camera work.
45+
46+
---
47+
license: CC-BY-4.0
48+
49+
This work is licensed under a [Creative Commons Attribution 4.0 International License](https://creativecommons.org/licenses/by/4.0/).

0 commit comments

Comments
 (0)