Lesson 19 Recordings

Our online class sessions went pretty well today. I recorded both sessions and you can access the recordings below. It’s audio only so you’ll have to try to figure out what materials (Covid-19 data in Sheets, Python programs, etc) I’m referring to as you listen along.

Please send me feedback and let me know if this is helpful and, if it is, which type of link (audio only or audio + transcript) is better. Thanks!

• Section 1 @ 11:15 (audio only)
• Section 1 @ 11:15 (audio + transcript etc)
• Section 2 @ 1:00 (audio only)
• Section 2 @ 1:00 (audio + transcript etc)

Also, I’m tracking and modeling confirmed COVID-19 cases for the US and Colorado. I’m using the very simple trendline fitting functionality in Google Sheets. Check it out.

Lesson 19: Stock Market Simulation in Python

Announcements:

• Go to uberconference.com/jh2020 to attend class!
• For audio only you can dial 719-299-2578
• COVID-19 data

Review:

• Coronavirus update
• Dice game simulation
• Stock Market Simulation in Sheets

Presentation:

• Normal Distribution Simulation
• Stock Market Simulation

Assignment:

• Complete your Google Sheets Stock Market Simulation Project!

Coronavirus Announcement

Dear BUSAD 360 Students,

Despite the current chaos our class will continue on Monday though we will move to an online format per guidance from President Mottet. This transition will likely be a little bumpy so we will all need to be flexible until we figure out how to navigate this new normal.

Please plan to join a conference call at our regularly scheduled class time on Monday. I will post log-on and dial-in information before Monday so please check this course page again for details. I typically use uberconference.com but we might try Zoom. This is actually good practice for you because this sort of conference call and screen share activity is commonplace in contemporary business. I do these all the time for meetings with colleagues and clients. I’m a little worried that having 50 students on the line at once might create bandwidth issues, but we’ll just work through it.

For those of you who still need to present your Stock Market Simulation Project, I will provide information on times when you can present to me one-on-one using the same conference and screen share technology. And, I will probably be willing to be flexible on the Spring Break deadline for those who need it.

In the meantime, take good care of yourselves. I’ll talk to you Monday.

Lesson 18: Dice Game Simulation in Python

Review:

• Quiz 08
• Coin Toss simulation
• Stock Market Simulation Project
• Protocol for possible campus closure and remote learning
  • Check course page for announcements
  • Conference calling and screen sharing in place of lecture

Presentation:

• Generating Random Numbers in Python
• Discrete Simulation with randint(min, max)
• Dice Game Simulation

Activity:

• Create your own Dice Simulation on Repl.it
• Simulate “Pass”, a simplified version of Craps
• Rules of Pass
  • Player rolls a pair of six-sided dice and…
    • wins if the roll is 7 or 11
    • loses if the roll is 2, 3 or 12
    • ties if the roll is 4, 5, 6, 8, 9 or 10
• Simulate 100 games
• Calculate % wins, % losses and % ties

Assignment:

• Complete the Stock Market Simulation Project
• Recommended: Intermediate Python (DataCamp)

Lesson 17: Python Loops for a Coin Toss Simulation

Review:

• Quiz 08
• Intro to Data Science with Python
• Stock Market Simulation Project

Presentation:

• Loops in DataCamp
  • While loops
  • For loops
  • Loops with DataFrames
• Repl.it
• Simulation of Coin Toss in 3 steps
  • Step 1
  • Step 2
  • Step 3

Activity:

• Create a Repl.it account
• Write a python program (in Repl.it) to simulate a coin toss
• Run the program with sims = 100, 1,000 and 10,000
• Use the output to generate three line graphs
• Save/maintain this program for future use

Assignment:

• Complete the Stock Market Simulation Project
• Recommended: Intermediate Python (DataCamp)

Lesson 16: Intro to Data Science and Python Part 2

Review:

• Quiz 7
• Stock Market Simulation Project

Activity:

• Complete last 2 chapters in Intro to Data Science with Python
  • Chapter 3: Plotting Data with matplotlib
  • Chapter 4: Different Types of Plots

Assignment:

• Work on Stock Market Simulation Project
• Intro to Data Science with Python due Mon, Mar 9