Category: s19-busad360

- 9 months ago
- s19-busad360
- Justin

Review:

- Final Exam Topics
- Simulation Project, DataCamp and Overall Grades
- Course Evaluations
- Final Exam on Tue Apr 30 in HSB 117 (10:30a and 1:00p)

Presentation:

- Practice Final Exam

Activity:

- Complete Practice Final

Assignment:

- Study for Final Exam

- 9 months ago
- s19-busad360
- Justin

Review:

- Exam 3 Results
- Grade Reports and Practice Final Exam on Wed Apr 24
- Final Exam on Tue Apr 30

Presentation:

- Review topics for Final Exam
- Line Plots
- Time Series Forecasting
- Linear Trend
- Polynomial Fit

- Measuring Forecast Error
- Multiple Regression
- Coefficients for y-hat equation
- t-statistics
- p-values
- R^2
- Interaction variables
- Dummy variables

- Probability
- Discrete
- Continuous

- Monte Carlo Simulation
- Sheets
- Random functions
- If statements
- Coin flip simulation
- Dice simulation
- Stock market simulations

- Python
- Basics
- Lists
- Functions
- Packages
- Matplotlib
- Loops
- Coin flip simulation
- Dice simulation
- Stock market simulations

Assignment:

- Study for Final Exam

- 9 months ago
- s19-busad360
- Justin

Exam 3 | |

Mean | 81.2 |

Standard Error | 1.4 |

Median | 80.5 |

Mode | 80.0 |

Standard Deviation | 11.4 |

Range | 60.0 |

Minimum | 40.0 |

Maximum | 100.0 |

Sum | 5601.5 |

Count | 69.0 |

- 9 months ago
- s19-busad360
- Justin

Review:

- Stock and Bond portfolio simulations
- Wed, Apr 17
- Simulation assignment due in class
- Exam 3

Presentation:

- Exam 3 Topics
- Probability
- Discrete vs Continuous
- Sample Space
- Short term uncertainty
- Long term predictability

- Monte Carlo Simulation
- Randomization and repetition
- Coin toss
- Dice roll
- Normal distribution
- Stock market

- Python
- Basics
- Lists
- Functions
- Packages
- Matplotlib
- Loops

- Probability

Activity:

Assignment:

- Complete stock + bond market simulations
- Study for Exam 3

- 9 months ago
- s19-busad360
- Justin

Review:

- Loops
- Hacker Statistics Assignment
- Exam 3 on Wed, Apr 17
- Review for Exam 3 on Mon, Apr 15

Presentation:

- Stock market simulation project
- Assumptions
- Stock market returns are normally distributed with
**mean=11.84**and**standard deviation=16.96** - Aggregate bond returns are normally distributed with
**mean=7.88**and**standard deviation=6.86** - Initial investment balance =
**$10,000** - Length of simulation =
**years until you reach age 65** - Number of iterations for each simulation =
**100**

- Stock market returns are normally distributed with
- Produce 4 investment/retirement portfolio simulations
**100% stocks + 0% bonds****80% stocks + 20% bonds****60% stocks + 40% bonds****40% stocks + 60% bonds**

- Comparison of simulation output
- Create
**histograms**to illustrate distribution of resulting ending balances - Calculate
**mean**and**standard deviation**of ending balances - Produce
**95% Confidence Intervals**to estimate ending balances **Answer these 3 questions**- Which portfolios produced the highest and lowest ending balances?
- Which portfolios produced the most and least volatility?
- Which investment portfolio would you choose for your retirement? Explain why.

- Create
- Deliverable
- Produce a 1-page slide/doc to illustrate and explain results
**Must include a link**- to
**Repl.it**program; or - to Google
**Sheets**file

- to
**1 piece of paper only**(use front and back)**Due in class on Wed, Apr 17**(with Exam 3)

- Assumptions

Assignment:

- Complete Hacker Statistics project and all DataCamp assignments
- Work on retirement simulation project

- 9 months ago
- s19-busad360
- Justin

Review:

- Intermediate Python for Data Science
- Matplotlib
- Dictionaries and Pandas
- Logic, Control Flow and Filtering

Presentation:

- Intermediate Python for Data Science
- Chapter 4: Loops

Activity:

- Complete Chapter 4: Loops

Assignment:

- Data Camp
- Complete Chapter 5: Hacker Statistics
- Due by 5p on Wed, Apr 10

- 10 months ago
- s19-busad360
- Justin

Review:

- Intro to Python

Presentation:

- Intermediate Python for Data Science
- Chapter 1: Matplotlib
- import matplotlib.pyplot as plt
- Line plots
- Scatter plots
- Histograms
- Labels, Axes, Other

Activity:

- Complete Chapter 1: Matplotlib
- Begin Chapter 2

Assignment:

- Complete Chapters 2 and 3 in Intermediate Python for Data Science
- Chapter 2: Dictionaries and Pandas and
- Chapter 3: Logic, Control Flow and Filtering
- Due Mon Apr 8 before 5p

- 10 months ago
- s19-busad360
- Justin

Review:

- Simulation in Python
- DataCamp signup

Presentation:

- Introduction to Python Course in DataCamp
- Python Basics
- Python Lists
- Python Functions and Packages
- NumPy

Assignment:

- Check your CSU-P email and verify/confirm enrollment in my DataCamp Class
- Complete the Introduction to Python course by Wed

- 10 months ago
- s19-busad360
- Justin

Review:

- Coin Flip simulation
- Dice simulation efforts

Presentation:

- Monte Carlo Simulation in Python
- Discrete
- Continuous

Activity:

- Use the parameters in Sheets “
” stock market simulation**Annual** - Write a program to simulate stock market returns for
**1**40-year time frame. - Edit the program to simulate stock market returns for
**100**40-year time frames. - Edit the program to simulate stock market returns for
**10,000**40-year time frames. - Save a screen capture to your portfolio

Assignment:

- Follow this link to join my DataCamp classroom
- Complete Intro to Python, Chapter 1, Python Basics
- Due before class on Monday