STATS 415 - Data Mining and Statistical Learning
Fall 2019, Section 005
Instruction Mode: Section 005 is  In Person (see other Sections below)
Subject: Statistics (STATS)
Department: LSA Statistics

Details

Credits:
4
Requirements & Distribution:
BS
Advisory Prerequisites:
MATH 215 and 217, and one of STATS 401, 406, 412 or 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.
Primary Instructor:

Description

This course covers the principles of data mining, exploratory analysis and visualization of complex data sets, and predictive modeling, Topics include: a) techniques and algorithms for exploratory data analysis and for discovering associations, patterns, changes, and anomalies in large data sets; and b) modern methods for multivariate analysis and statistical learning in regression, classification, and clustering. The presentation balances statistical concepts (such as model bias and over-fitting data, and interpreting results) and computational issues (including algorithmic complexity and strategies for efficient implementation). Students are exposed to algorithms, computations, and hands-on data analysis in weekly discussion sessions.

Course Requirements:

Evaluation will be based on weekly problem sets, one midterm exam, and a final project. The final project will be an individual project involving either data analysis using the methods covered in the course, or a simulation-based or analytical investigation of the properties of one of the methods covered in the course. Students will be expected to write a statement of their findings of approximately 3 pages in length, as well as providing clean and documented versions of their computer code,

Intended Audience:

Course can be used as an elective to satisfy the requirements of the statistics concentration, the applied statistics minor, and the statistics minor.

Class Format:

3 hours of lecture and 1 hour GSI-led discussion.

Schedule

STATS 415 - Data Mining and Statistical Learning
Schedule Listing
001 (LEC)
 In Person
28719
Open
15
 
-
TuTh 2:30PM - 4:00PM
Note: The Department of Statistics must allow students who are declared in its programs the opportunity to register for Statistics classes needed to complete their programs. Any remaining seats reserved for Statistics students will be opened after registration is complete and waitlists have been evaluated.
002 (DIS)
 In Person
28720
Closed
0
 
-
Tu 8:30AM - 10:00AM
Note: The Department of Statistics must allow students who are declared in its programs the opportunity to register for Statistics classes needed to complete their programs. Any remaining seats reserved for Statistics students will be opened after registration is complete and waitlists have been evaluated.
003 (DIS)
 In Person
28721
Open
16
 
7DATA SCIENCE
-
Tu 10:00AM - 11:30AM
Note: The Department of Statistics must allow students who are declared in its programs the opportunity to register for Statistics classes needed to complete their programs. Any remaining seats reserved for Statistics students will be opened after registration is complete and waitlists have been evaluated.
004 (DIS)
 In Person
28722
Closed
0
5DATA SCIENCE
 
-
Tu 11:30AM - 1:00PM
Note: The Department of Statistics must allow students who are declared in its programs the opportunity to register for Statistics classes needed to complete their programs. Any remaining seats reserved for Statistics students will be opened after registration is complete and waitlists have been evaluated.
005 (LEC)
 In Person
34980
Open
20
 
-
TuTh 2:30PM - 4:00PM
006 (DIS)
 In Person
34981
Open
7
 
-
Tu 4:00PM - 5:30PM
007 (DIS)
 In Person
34982
Open
13
 
-
Th 5:30PM - 7:00PM

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 STATS 415.005

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 STATS 415 (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)