Weekly Course Schedule – Spring 2019

INFOST 350 - 201 (Online)

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Week 1 (January 22 – January 27)



Tuesday, January 22   (6:30 P.M. – 7:30 P.M., GoToMeeting)
Optional Session
Online Lab Session
On Tuesday evenings, we will be holding an optional Online Lab Session using the GoToMeeting Platform. Please drop by to ask a question, to discuss solutions to previous assignments, to get help with the current assignment, to discuss the final project, or just to say hello. Please use a headset when joining this session. You may join the GoToMeeting session using this link.


Sunday, January 27, @  11:55 P.M.
Weekly Assignments Deadline
Topics
  • Welcome
  • Review Syllabus
  • Review Weekly Schedule
  • Introductions
Required Readings
Required Recordings
Class Participation Assignments Due (Forum Posts)
  • Introduce Yourself (Required)
    Description: Each student is expected to contribute a 200 - 300 word introduction post. Please introduce yourself to the instructor and your classmates. Include information regarding your preferred name, your work (inside or outside the home), and your experience with the subject matter of the class. Most important, tell us what you would like to get out of this class.
    Submit to: Introduce Yourself discussion


Sunday, January 27, @  11:55 P.M.
Additional Deadline
Topics
  • Computing Setup
Computing Setup
  • Choose Your Computer
    Description: I highly recommend that you use your own computer for this course. I recommend that you use a computer that runs Windows 10 or a recent release of MacOS. While the software that we will be using for this course does run on Linux computers, there will be substantially less technical support available for Linux. If you do not have a computer available to you, you will need to use the SOIS lab computers. If you are trying to use a SOIS lab computer for this course and having difficulty with the setup, please contact the SOIS Tech Help Desk.
  • Install Anaconda
    Description: Anaconda is an open data science platform that provides access to a coordinated set of Python tools. We will be using Anaconda to provide our basic Python tools. This will relieve some of the pressure of downloading many Python tools individually. It will also give us some experience in working with Anaconda, which is a valuable skill in its own right.
  • Install PyCharm Professional
    Description: PyCharm Professional is a leading Python Integrated Development Environment (IDE). I will be using PyCharm in my tutorial videos and I will expect you to use PyCharm when completing your assignments. JetBrains, the makers of PyCharm Professional, offer free licenses to this and a number of other products to university students and faculty. You will need to secure one of these free licenses from JetBrains using the link below. Following that, you will need to install PyCharm Professional by following one of the tutorial videos below that will help you through the download and install.