DATASCI 415 - Data Mining and Statistical Learning
Winter 2022, Section 001
 Instruction Mode: Section 001 is  In Person (see other Sections below) Subject: Data Science (DATASCI) Department: LSA Statistics
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#### Details

Credits:
4
Requirements & Distribution:
BS
Enforced Prerequisites:
(MATH 214 or MATH 217) and either (one of STATS 401, STATS 412, STATS 426) or (MATH/STATS 425 and (DATASCI 101 or STATS 206 or STATS 250 or STATS 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:

#### Description

This course covers the principles of data mining, exploratory analysis, and visualization of complex data sets, and predictive modeling. 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:

The 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:

The 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

DATASCI 415 - Data Mining and Statistical Learning
Schedule Listing
001 (LEC)
In Person
30262
Open
7

-
 TuTh 11:30AM - 1:00PM 1202 SEB
002 (DIS)
In Person
30263
Open
2
 40 Enrollment Management
-
 F 8:30AM - 10:00AM B760 EH
003 (DIS)
In Person
30264
Open
2
 40 Enrollment Management
-
 F 1:00PM - 2:30PM B760 EH
004 (DIS)
In Person
30265
Open
3
 40 Enrollment Management
-
 F 2:30PM - 4:00PM B760 EH

#### Textbooks/Other Materials

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#### Syllabi

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#### CourseProfile (Atlas)

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