Office Hours: Check out the office hours schedule!
In this course, we will learn how to “think with data” by stepping through the data analysis workflow. While most of our time will be spent learning techniques related to the Exploration and Visualization step and the Modeling and Inference step, we will also practice the other important pieces of data analysis. Furthermore, since computation is an integral part of modern statistical analyses, we will learn how to work with data using the statistical programming language R and the user interface, RStudio.
By the end of the course, you will have improved your ability to “think statistically”. More concretely, you will be better able to accomplish the following tasks, which have been broken down by steps of the data analysis workflow:
Exploration and Visualization:
Modeling and Inference:
It is very important to stay on-top of the material since we will move at a fairly brisk pace. If you feel yourself falling behind, please seek out help.
Your grade will be based on your performance on the following key components of the course:
If you are a student with a documented disability in need of accommodations, I encourage you to reach out to Reed’s Disability Services Office, or its director, Theresa Lowrie, to make the necessary arrangements. If you already have accommodations, in place, please submit your accommodations to me through the DSS portal, and then make an appointment to discuss your accommodation needs with one of us.
We expect everyone in this class to strive to foster a learning environment that is equitable, inclusive, and welcoming. If you experience any barriers to learning, please come to us or a college administrator with your concerns.
We expect all members of Math 141 to make participation a harassment-free experience for everyone, regardless of age, body size, visible or invisible disability, ethnicity, sex characteristics, gender identity and expression, level of experience, education, socio-economic status, nationality, personal appearance, race, religion, or sexual identity and orientation.
We expect everyone to act and interact in ways that contribute to an open, welcoming diverse, inclusive, and healthy community of learners. Examples of unacceptable behavior include: using sexualized language or imagery, making insulting or derogatory comments, harassing someone publicly or privately, or other unprofessional conduct.
Instead you can contribute to a positive learning environment by demonstrating empathy and kindness, being respectful of differing viewpoints and experiences, and giving and gracefully accepting constructive feedback.
This Code of Conduct is adapted from the Contributor Covenant, version 2.0.
We encourage you to collaborate on assignments but every piece of work you do must be your own. Copying and pasting other people’s work or code is not acceptable. The Honor Principle must guide your conduct in this class. The following section from the Guidebook to Reed College summarizes the expectations for this class:
Reed College is a community of scholars. The fundamental ethical principle governing scholarship is that one should never claim or represent as one’s own work that which is not one’s own. Proper academic conduct requires that all work submitted for academic purposes – including, but not limited to examinations, laboratory reports, essays, term papers, homework exercises, translations, and creative work—be entirely the work of the person or persons who submit it, and that, in the case of work based upon experiment and observation, the experimental results and observations be reported faithfully. The principle thus requires that no one claim authorship to the work of another and that no one falsify or misrepresent empirical data. This principle should be clear to every scholar, although determining its application in particular circumstances may require careful thought and guidance.