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Course Offerings

Course Evaluation Results

Course Details

Spring 2015-2016
* SML 101 (QR)   Graded A-F, P/D/F, Audit

Reasoning with Data

Staff

Data-driven decision-making, research discovery, and technology development are everywhere. It is now more important than ever for individuals to understand how data are used for these purposes. This course will introduce the student to how statistical reasoning and methods are used to learn from and leverage modern data. The emphasis will be on concepts and strategies for learning from data, rather than on sophisticated mathematics. Students will be exposed to the basics of statistics, machine learning, and data science through real world problems and applications. Students will also analyze data sets using the computer.

Sample reading list:
Jessica M. Utts, Seeing through Statistics
Roger D. Peng and Elizabeth Matsui, The Art of Data Science
See instructor for complete list

Reading/Writing assignments:
There will be regular reading and homework assignments throughout the semester.

Requirements/Grading:
Mid Term Exam - 15%
Final Exam - 20%
Quizzes - 20%
Problem set(s) - 45%

Other Requirements:
Statistical, design or other software use required

Prerequisites and Restrictions:
There are no official prerequisites for this course. However, it is strongly recommended that students be comfortable with basic computer usage and some college level mathematics..

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
43814 L01 11:00 am - 12:20 pm T Th        Enrolled:0 Limit:0 Canceled
43815 P01 3:30 pm - 4:20 pm M        Enrolled:0 Limit:0 Canceled
43816 P02 11:00 am - 11:50 am F        Enrolled:0 Limit:0 Canceled