Class Restriction And Registration Summary


ACMS 34445 - Section 01: Prob & Stats: Data Sc (CRN 3704)
Long Title: Probability and Statistics for Data Science

Course Description:
In this course, you will learn the fundamentals of probability theory and statistical inference used in data science. These foundational principles and techniques will allow you to transform data science problems into mathematical terms and validate them as statistical statements.

Note: this course is delivered fully online. The course design combines required live weekly meetings online with self-scheduled lectures, problems, assignments, and interactive learning materials. To participate, students will need to have a computer with webcam, reliable internet connection, and a quiet place to participate in live sessions.

Students with other prerequisite courses or equivalent background preparation may enroll by permission of the instructor or permission of the Director of Undergraduate Studies, Professor Alan Huebner (

No financial aid is available for this course.

Associated Term: Summer Session 2019
Campus: Online Learning
Credits: 3
Grade Mode: Standard Letter
Course may not be repeated

ACMS 20550 or MATH 20550 or MATH 10093
* Indicates classes which can be taken concurrently

Must not be enrolled in one of the following Major(s) or Minor(s) or Concentration(s):
App & Comp Math & Stats (Supp) (ACM2) ,  Applied & Comp Math and Stats (ACMS) ,  Statistics (STAT)
Must be enrolled in one of the following Levels:
Employee Non-Degree (EM) ,  St. Mary's College (SM) ,  Undergraduate Non-Degree (UD) ,  Undergraduate (UG)

Cannot Have Taken:
ACMS 10145 ,  ACMS 20340 ,  ACMS 30440 ,  ACMS 30530 ,  ACMS 30550 ,  MATH 30530

Course Attributes:
OLF-Fully Online (100 percent) ,  ZODO - Online Learning

Registration Availability (Overflow: Off )
  Maximum Actual Remaining
TOTAL 17 3 14

Crosslist Information
Class Information Maximum Actual Remaining
ACMS  34445 01, CRN 3704  (Primary) 17 3 14
ACMS  54505 01, CRN 3706   5 0 5
CDT  34643 01, CRN 3720   3 2 1
ACMS  64054 01, CRN 3970   5 1 4
Total 30 6 24