WN 2022 | DATASCI 413 - Applied Regression Analysis

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DATASCI 413 - Applied Regression Analysis

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:

Requirements & Distribution:

Credit Exclusions:

No credit granted for those who have completed or enrolled in STATS 500.

Enforced Prerequisites:

[MATH 214, OR MATH 217 OR MATH 417] AND [(STATS 250 AND MATH/STATS 425) OR STATS 412 OR STATS 426].

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.

Cross-Listed Classes:

STATS 413 - Appl Regression, Section 001

Primary Instructor:

Zhu,Ji

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 covers traditional and modern topics in regression analysis. It is aimed primarily at undergraduate majors in Statistics and Data Science.

Schedule

DATASCI 413 - Applied Regression Analysis

Section

Class Instruction Mode

Class
Number

Enrollment
Status

Open
Seats

Open Restricted Seats

Waitlist

Day/Time Location

Start/End Date

Schedule Listing

Section:

001 (LEC)

Instruction Mode:

In Person

Class No:

30274

Enroll Stat:

Closed

Open Seats:

Open Restricted Seats:

Wait List:

Meeting Day/Time/Location:

11:30AM - 1:00PM

AUD C AH

1/5/22 - 4/19/22

Section:

002 (LAB)

Instruction Mode:

In Person

Class No:

30275

Enroll Stat:

Closed

Open Seats:

Open Restricted Seats:

40	Enrollment Management

Wait List:

Meeting Day/Time/Location:

2:30PM - 4:00PM

1280 LSA

1/5/22 - 4/19/22

Section:

003 (LAB)

Instruction Mode:

In Person

Class No:

30276

Enroll Stat:

Closed

Open Seats:

Open Restricted Seats:

40	Enrollment Management

Wait List:

Meeting Day/Time/Location:

2:30PM - 4:00PM

B760 EH

1/5/22 - 4/19/22

Section:

004 (LAB)

Instruction Mode:

In Person

Class No:

30277

Enroll Stat:

Closed

Open Seats:

Open Restricted Seats:

40	Enrollment Management

Wait List:

Meeting Day/Time/Location:

5:30PM - 7:00PM

B760 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 413.001

View/Buy Textbooks

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 413 (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)