The Data Science Labs
A series of 1-credit courses exploring applications of
existing courses to data science.
The Data Science Labs on Differential and Integral Calculus (MA16290): A one credit course to accompany Calculus 2. Discover applications of differential and integral calculus to data science. You will also learn to program in Python and to use Arduino sensors and microprocessors to acquire data. Pre-requisite: Calculus 1; Co-requisite Calculus 2.
The class requires no work outside of the lab. There is no homework, no quiz, no test, no exam. All work is performed during the 150 minutes spent in the lab each week. Students can earn honors credit for Calculus 2 by taking this lab. The lab counts towards the Applications in Data Science Certificate. It also counts as a complementary elective for ECE (CMPE and BSEE).
Fall 2023 offering (pick one):
Tu 2:30-5pm CRN 25495
Mo 5:30-8pm CRN 25496
The Data Science Labs on Multivariable Calculus (MA290/MA26190/ECE29595): A one credit course to accompany Calculus 3. Discover applications of multivariable calculus to data science, and get hands-on practice with Python and Arduinos. Pre-requisite: Calculus 1, Calculus 2, DS Labs on Calculus (or experience with Python); Co-requisite Calculus 3. Students can earn honors credit for Calculus 3 by taking this lab. The lab counts as a complementary elective for ECE (CMPE and BSEE).
Fall 2023 offering (pick one):
Tu 3:00-5:30pm CRN 27738
Tu 3:00-5:30pm CRN 25032 (for ECE students)
Th 5:30-8pm CRN 19789
Th 5:30-8pm CRN 25033 (for ECE students)
The Data Science Labs on Signals and Systems/Fourier Analysis (MA390/ECE39595): A one credit course to accompany ECE301, AAE301, or MA428. Discover applications of Fourier series/transforms to data science, and get hands-on practice with Python and Arduinos. Pre-requisite: at least one prior DS Labs or experience with Python; Co-requisite ECE301 or AAE301 or MA428. Students can earn honors credit for ECE301 or AAE301 or MA428 by taking this lab. The lab counts as a complementary elective for CMPE and as an advanced upper-level lab for BSEE.
Fall 2023 offering (pick one):
Mo 2:30-5pm CRN 19491
Mo 2:30-5pm CRN 25041 (for ECE students)
Tu 6pm-8:30pm CRN 19495
Tu 6pm-8:30pm CRN 25043 (for ECE students)
The Data Science Labs on Probability (MA490/ECE39595): A one credit course to accompany ECE302, MA416, STAT416, or other introductory course on probability. Discover applications of probability to data science and get hands on practice with Python and Arduinos. Pre-requisite: at least one prior DS Labs or experience with Python; Co-requisite ECE302, MA416, STAT416 or another introductory course on parobability. The lab counts as a complementary elective for CMPE and as an advanced upper-level lab for BSEE.
Fall 2023 offering (pick one):
We 6:30-9pm CRN 19500
We 6:30-9pm CRN 25044 (for ECE students)
