Description
- Introduction to data
- Case Study 1: mean, variance, kurtosis, quantile-quantile plots, normal approximations
- Case study 2: survey methodology, simple random sampling, confidence intervals, bootstrap
- Case study 3: stratified sampling, parametric bootstrap, allocation
- Case study 4: estimation and testing, goodness of fit tests, information, asymptotic variance
- Case study 5: contingency tables, experimental design
- Case study 6: regression, prediction
Time Permissible:
• Case study 7: simple linear model, replicate measurements, transformations, inverse regression
• Case study 8: analysis of variance, unbalanced designs, indicator variables
General Information
Announcements
http://datascience.ucdavis.edu/NSFWorkshops/
The teaching staff has posted a new lab resource.
Title: Lab_10.Rmd
http://www.piazza.com/class_profile/get_resource/i4lrb7cabju3tl/i77zta02dpn75e
Due date: Mar 13, 2015
You can view it on the course page: https://piazza.com/ucsd/winter2015/math189/resources
The teaching staff has posted a new lab resource.
Title: Lab_9.Rmd
http://www.piazza.com/class_profile/get_resource/i4lrb7cabju3tl/i6xzp0ctyzi4m7
Due date: Mar 6, 2015
You can view it on the course page: https://piazza.com/ucsd/winter2015/math189/resources
Dear all,
It is my great pleasure to announce the dataset with which you will be working with for the final project of our Data course.
I am sharing a Dropbox link with you as the raw data is still of huge size.
https://www.dropbox.com/sh/hk6naskt8t5wlvy/AAANXy_20-BBYo8EYQgmW6gEa?dl=0
Please take a look at the .txt data subset.
You are encouraged to work with the complete data, which can be found in the folder MilionSongSubset but it will suffice to just analyze the data inside the .txt file.
Your task is to better understand the data and make some plots, regression as to better understanding a relationship between audio signal and music tracks.
Complete link to the data can be found here
http://labrosa.ee.columbia.edu/millionsong/pages/getting-dataset#subset.
Data description can also be found at the above link.
The txt data is a smaller piece of the original data and can be found here
http://archive.ics.uci.edu/ml/datasets/YearPredictionMSD
I have downloaded it already for you so all you can read in the link above is about data description.
Here is a link of possible tasks you can try to make an effort in:
http://labrosa.ee.columbia.edu/millionsong/pages/tasks-demos
Thanks and enjoy!
Jelena Bradic
Check it out https://math189.edublogs.org/
Dear all,
Please check the resource for lab 8 file.
Best,
Hanbo
Dear all,
From now on, my office hours will be moved to Friday from 2-4pm in APM 6446.
Best,
Hanbo
| Name | Office Hours | |
|---|---|---|
Dr. Jelena Bradic | When? Where? | |
Yiqing (Cynthia) Huang | When? Where? | |
Hanbo Li, Alexander | When? Where? |