Weclome to Math 352

Probability and Statistics

Introductions

  • San Bernardino, CA

  • CSU Monterey Bay

    • BS Biology

  • San Diego State University

    • Master’s in Public Health

  • UC Riverside

    • PhD in Applied Statistics

Introductions

  • Name

  • Year

  • Major

  • Fun Fact

  • Career Goal

Goals for the Course

  • Introduction to Probability

  • Introduction to Statistics

  • Introduction to Regression

Office Hours

Marin Hall 2326

T/TH 5-6 PM

Wed 2-4 PM

Syllabus

Syllabus

Syllabus

Use of Generative AI

Use of Generative AI

The use of generative artificial intelligence (AI) to complete any part or all of an assignment/exam is strictly prohibited in this class. This includes, but not limited to, ChatGPT, Claude, Meta AI, and Google Gemini.

You may use AI to enhance you understanding of the material.

You may not upload any course material to any AI platforms such as ChatGPT, Claude, Meta AI, and Google Gemini. Exceptions are allowed for DASS-approved services.

Use of AI

There are consequences when you use of AI:

  • Educational Mislearning
  • Trusting AI
  • Stolen Work
  • Privacy Concerns
  • Environmental Impacts
  • Working Exploitation

Educational Mislearning

The purpose of this class, and college, is for you to learn about critical thinking skills and perseverance. Using AI will only teach you how to get an answer, which may or may not be correct.

You will not develop the skills needed to problem solve a challenge. Additionally, developing grit is essential to become successful in college and life. There is no easy way out and AI is an illusion to your success in life.

To learn something, it requires hours of work! If not years!

Trusting AI

When using AI, you must acknowledge its limitations:

  • Responses provided may be incorrect

  • Responses may not be fair

  • Companies may manipulate responses and/or terms of service for their benefit

  • Companies may not have your best interst in mind

You should always proceed with caution utilizing these tools!

Stolen Work

Additionally, all these individuals are not receiving any royalties for the work to be used in creating generative AI models.

Inside Higher Ed and The New Yorker highlight individual’s concern of their work being used to train AI models.

Privacy Concerns

The use of generative AI raises concerns of what data is being harvested from us, possibly without informed consent.

When you used any large language models, you do not know what information is being harvested from you.

Do you want to upload your thoughts and ideas to a company that can monetize, and possibly exploit.

Does your Professors consent with you uploading their assignments to large language models?

Stanford provided a report highlighting the risks of our personal data use in large language models.

Environmental Impact

In order to run these large language models, companies need to use a large amounts of energy. This is because large servers are needed to both train and execute a model.

The LA Times reports the potential impact that running AI models in California.

Additionally, Time reports that a ChatGPT query uses ten times more energy than a Google search query, and global AI demands can consume of 1 trillion gallons of water by 2027.

There are also environmental justice questions about where these data centers are constructed.

Worker Exploitation

The Washington Post and Time (Article 1 and Article 2) reported that AI companies utilize “digital sweatshops” to classify data points for model training.

There is a human cost from the Global South, both financially and mentally, to develop the AI models for users in the United States and Europe.

We must be conscious consumers and demand more from these companies to provide safe working conditions and livable wages.

Is Using AI Bad?

NO

But, we need to acknowledge the consequences of using AI!

And, we need to demand companies to create and implement AI in an ethical manner!

Announcements

Homework 0

Homework 0 is posted!

Plot-a-thon

Plot-a-thon

Lecture

Learning Objectives

  • Population

  • Sample

  • Inference

  • Associations

Population

  • A set of all measurements of interest to the sample collector.

Sample

  • A sample is any subset of measurements selected from the population.

Inference

  • Parameter: a measurement describing the population

  • Statistic: a measurement describing the sample

Associations

An association describes the relationship between two characteristics of a population.