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DATASCI 406 - Computational Methods in Statistics and Data Science
Winter 2022, Section 001
Instruction Mode: Section 001 is  In Person (see other Sections below)
Subject: Data Science (DATASCI)
Department: LSA Statistics
See additional student enrollment and course instructor information to guide you in your decision making.
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 Details  Description  Schedule  Textbooks/Other Materials  Syllabi

Details

Credits:
3
Requirements & Distribution:
BS
Waitlist Capacity:
99
Advisory Prerequisites:
[MATH 214 OR MATH 217 OR MATH 417] AND [(STATS 250 AND MATH/STATS 425) OR STATS 412 OR STATS 426] AND [STAT 306 OR EECS 183 OR ENGR 101 OR EECS 280].
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Primary Instructor:
Fredrickson,Mark
Start/End Date:
Full Term 1/5/22 - 4/19/22 (see other Sections below)
NOTE: Drop/Add deadlines are dependent on the class meeting dates and will differ for full term versus partial term offerings.
For information on drop/add deadlines, see the Office of the Registrar and search Registration Deadlines.

Description

This course introduces basic computational methods as needed in statistics. It is aimed primarily at undergraduate majors in Statistics and Data Science.

Course Requirements:

Weekly homework assignments will be distributed and collected on Canvas. Instead of exams, the course will build towards an individual final project with an early draft and a final draft.

Class Format:

This course is online and offered synchronously. Weekly lectures will be recorded in advance and supplied via Canvas. Regular class times will be Zoom calls with a Q&A/review period followed by time where students can work in small groups on homework problems and receive instructor feedback.

Schedule

DATASCI 406 - Computational Methods in Statistics and Data Science
Schedule Listing
001 (LEC)
 In Person
30255
Open
3
60Enrollment Management
-
TuTh 4:00PM - 5:30PMB844 EH
1/5/22 - 4/19/22

Textbooks/Other Materials

The partner U-M / Barnes & Noble Education textbook website is the official way for U-M students to view their upcoming textbook or course material needs, whether they choose to buy from Barnes & Noble Education or not. Students also can view a customized list of their specific textbook needs by clicking a "View/Buy Textbooks" link in their course schedule in Wolverine Access.

Click the button below to view and buy textbooks for DATASCI 406.001

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Syllabi

Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

Click the button below to view historical syllabi for DATASCI 406 (UM login required)

View Historical Syllabi

CourseProfile (Atlas)

The Atlas system, developed by the Center for Academic Innovation, provides additional information about: course enrollments; academic terms and instructors; student academic profiles (school/college, majors), and previous, concurrent, and subsequent course enrollments.

CourseProfile (Atlas)