Class Restriction And Registration Summary

 

CDT 24642 - Section 01: System & Tech: Python (Online) (CRN 4018)
Long Title: System and Technology: Python (Online)

Course Description:
In this course, you will learn the foundational skills necessary inPython that will enable you to acquire and manipulate data, model data for the purposes of scientific analysis, and create visualizations to communicate your findings. The course willintroduce you to efficient scientific computing using NumPy. You will learn how to apply the pandas library to perform a variety of data manipulation tasks, including selecting, subsetting, combining, grouping, and aggregating data. You will also learn how to generate and customize visualizations with matplotlib. The course will give you the basic ideas and intuition behind modern data analysis methods and their applications, with a strong focuson a course project and weekly assignments.

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 (Alan.Huebner.10@nd.edu).

No financial aid is available for this course.

Associated Term: Summer Session 2018
Campus: Online Digital Learning
Credits: 2
Grade Mode: Standard Letter
Course may not be repeated




Restrictions:
Must be enrolled in one of the following Levels:
Employee Non-Degree (EM) ,  St. Mary's College (SM) ,  Undergraduate Non-Degree (UD) ,  Undergraduate (UG)

Course Attributes:
CDDF- Computatnl/Digital Focus ,  CDTD- Cmp&Dgtl Tch Dev & Mgt ,  OLF-Fully Online (100 percent) ,  ZODO - Online Digital Learning

Registration Availability (Overflow: Off )
  Maximum Actual Remaining
TOTAL 7 1 6



Crosslist Information
Class Information Maximum Actual Remaining
ACMS  24216 01, CRN 3992  (Primary) 13 5 8
ACMS  54502 01, CRN 3995   5 1 4
CDT  24642 01, CRN 4018   7 1 6
Total 25 7 18