Week 1 (January 17 – January 22)

Wednesday, January 18 (7:00 P.M. – 9:00 P.M., Zoom) Class Session 1
Topics	Review Syllabus Review Weekly Schedule Welcome Introductions
Required Readings	Course Syllabus
Required Recordings	Tutorial Video: Tips on Playing My YouTube Videos Lecture Video: Syllabus Review, Weekly Schedule Review, and Introduction to the Course
Class Discussion Prep	Introduce Yourself An important activity during this first class will be introducing ourselves. I plan to go through the class in the order that students appear in the Zoom list of attendees. I will ask each of you to speak in turn. I am expecting each of you to speak for 1 - 2 minutes. Here are the things that I would like you to share with us: Your name; The iSchool program in which you are enrolled; Your employment (this includes, full-time, part-time, university, and home care activities); Your previous experience with tools used in this course (Python, Anaconda); Most Important: What you would like to get out of this course. I look forward to meeting each of you during your introductions.

Friday, January 20 (4:00 P.M. – 5:00 P.M., Zoom) Optional Session
Lab Session	On Friday afternoons from 4:00 PM till 5:00 PM, I will be holding an optional Lab Session using Zoom. 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 while participating.

Sunday, January 22, @ 11:55 P.M. Weekly Assignments Deadline
Computing Setup	Send a Greetings post to the Service Desk for this course Description: You can earn 10 participation points by sending a Greetings post to the Service Desk for this course within the first 2 weeks of the semester. Regardless of the points earned, getting started using the Service Desk is a best practice. Tutorial Video: How to Use the Service Desk for This Course Slides for How to Use the Service Desk for This Course Choose Your Computer Description: I recommend that you use a computer that runs Windows (either Windows 10 or Windows 11) or a recent release of macOS. While the software that we will be using for this course does run on Linux, there will be substantially less technical support available for Linux. If you are considering using a Linux computer, please consult with me beforehand. 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. PLEASE NOTE: The version of Anaconda that you download should be the latest version available. In the current semester we will be using Python 3.10. So, the version of Anaconda that you install, must support Python 3.10. Anaconda Download Tutorial: Install Anaconda on Windows Tutorial: Install Anaconda on macOS Tutorial: Recovering From Problems With Anaconda Navigator (Windows and macOS) 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. JetBrains free individual licenses for students and faculty members Tutorial: Install PyCharm Professional on Windows Tutorial: Install PyCharm Professional on macOS Tutorial: Recovering From PyCharm Unable to Pick Anaconda Virtual Environment

Sunday, January 22, @ 11:55 P.M.
Weekly Assignments Deadline

Computing Setup

Send a Greetings post to the Service Desk for this course
Description: You can earn 10 participation points by sending a Greetings post to the Service Desk for this course within the first 2 weeks of the semester. Regardless of the points earned, getting started using the Service Desk is a best practice.
- Tutorial Video: How to Use the Service Desk for This Course
- Slides for How to Use the Service Desk for This Course
Choose Your Computer
Description: I recommend that you use a computer that runs Windows (either Windows 10 or Windows 11) or a recent release of macOS. While the software that we will be using for this course does run on Linux, there will be substantially less technical support available for Linux. If you are considering using a Linux computer, please consult with me beforehand.
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. PLEASE NOTE: The version of Anaconda that you download should be the latest version available. In the current semester we will be using Python 3.10. So, the version of Anaconda that you install, must support Python 3.10.
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.

Weekly Course Schedule – Spring 2023

IS430 - OAG/OAU - Foundations of Information Processing

Meets Wednesday Evenings Online

Week 1 (January 17 – January 22)