Lesson 25: Review for Final Exam Part 2
Review:
- Practice Final
- Course Evaluations
- Final Exam: Tue May 3, 10:30-12:50
Presentation:
Assignment:
- Complete the AI Fundamentals course in DataCamp
- Study for the Final Exam
Category: s22-busad360
Lesson 24: Review for Final Exam
Review:
- AI Fundamentals in DataCamp
Presentation:
- Preparing for the Final Exam
- Practice Final Exam
- Submit your practice final here
Assignment:
- Complete the DataCamp Assignment
Lesson 23: Artificial Intelligence
Review:
- Simulation
- Project 4
- Schedule
- Fall course: ECON 320 Geography of World Economy (TTh 11-12:20)
Presentation:
- Data Camp Course: AI Fundamentals
Assignment:
- Complete AI Fundamentals course
Lesson 22: Data Import and Export with Panda DataFrames in Python
Review:
- Check Project 4 for updates (new deadline) and additional requirements
Presentation:
- Data manipulation with Pandas in Python
- Demonstrate how to read in .csv data with ReadCSV
- Demonstrate with Stock Market Simulation
Activity:
- Work on Project 4
Project 4: Python Simulation
Due Tue, Apr 19 at 11:14am
Instructions:
- Build a Stock Market Simulation in Python
- Simulation Requirements
- Same as Project 3, except
- Simulation count, n=1,000
- Set mean=10.2 and stdev=14.1 (instead of combining stocks and bonds separately)
- Run 4 simulation scenarios
- Same as Project 3
- Use a Pandas DataFrame to export simulation data to .csv format.
- Use Sheets (or Excel) to create histograms with the output from both scenarios.
- Prepare a Python program on Repl.it
- Make it easy to read and understand
- Create a Video
- Same as the other projects
- Submit links to your Repl.it program and your Video
- Same as other projects but with a link to your Repl.it program.
Lesson 21: Enhanced Stock Market Simulation in Python
Review:
- Stock Market simulation
- Schedule (home stretch)
- April 14 – Complete Python Simulation
- April 19 – AI Fundamentals
- April 21 – Machine Learning
- April 26 – Review for Final Exam (possible Practice Final)
- April 28 – Review for Final Exam
- May 3 – Final Exam
Presentation:
Activity:
- Implement other features from final Sheets Simulation
- Work on Project 4
Lesson 20: Stock Market Simulation in Python
Review:
- Dice game simulation
Presentation:
Activity:
- Implement features from final Sheets Simulation
Lesson 19: Dice Game Simulation in Python
Review:
- Project 3 grading
- Variables
- Lists
- If Statements
Presentation:
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
- Player rolls a pair of six-sided dice and…
- Simulate 1000 games
- Calculate % wins, % losses and % ties
Lesson 18: Python Variables, Lists and If Statements
Review:
- Python with replit.com
- Hello World
- Ukraine Panel tonight
Presentation:
- Variables
- Calculations
- Lists
- If Statements
- Use a Coin Flip Simulation program to demonstrate
- Compare to Coin Toss Simulation in Sheets
Activity:
- Use the randint() function
- Replicate CoinFlipSim-01
- Replicate CoinFlipSim-02
- Replicate CoinFlipSim-03
- In each of the three programs, replace random() with randint()
- Then make necessary changes to get the program to run properly
Lesson 17: Intro to Python
Review:
- Stock Market Simulation Project
Presentation:
- Data Science
- Combination of statistics + programming with big data
- Hot like computer software development in the 1990’s
- Salaries are high
- Python
- Programmers and companies are moving to Python
- Google uses Python extensively
- Python is gaining market share rapidly
- Create an account on replit.com
- Write a “Hello World” program
- Here’s an example