IMSE 440 - Course intro

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## IMSE 440 
## Applied Statistical Models in Engineering

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## Course introduction

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## About the instructor

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Fred Feng

<fredfeng@umich.edu></fredfeng>

Assistant Professor @ IMSE

Website: [umich.edu/~fredfeng](http://umich.edu/~fredfeng)

Research group: [fenggroup.org](https://fenggroup.org/)
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<br><br><br>
![:scale 40%](./images/feng.png)
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# Course website

.huge[[imse440.org](https://imse440.org)]

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# Canvas is used for

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- Announcements
- Lecture materials
- Homework
- Project submissions
- Grades

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# Some general study tips

- Type along - Learning by doing

.center[![:scale 50%](./images/ridebike.jpg)]

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# Some general study tips

- The homework are meant to be an essential part of your learning experience.

- Start early.

- Ask for help.

- Take advantage of the office hours or email us.

- Back up your work (homework, project)

- [Dropbox at UM](https://its.umich.edu/communication/collaboration/dropbox)

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# Why programming in applied statistics?

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- Flexibility & customization
- Reproducible research
- Collaborative work
- Version control

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.center[![:scale 100%](./images/python-logo.png)]

# Why Python?

- Open source, free, and widely available
- Massive open-source community

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# Why Python?

- ### Extensive libraries
  - [NumPy](https://numpy.org/)
  - [SciPy](https://www.scipy.org/)
  - [pandas](https://pandas.pydata.org/)
  - [statsmodels](https://www.statsmodels.org/)
  - [scikit-learn](https://scikit-learn.org/)
  - and many more

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.center[![:scale 100%](./images/xkcd-python.png)]

<div style="margin-top: -20px; text-align: center;"><a class="sourcelink" href="https://xkcd.com/353/">Image source</a></div>

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# Why Python?

- ### Beginner friendly

- "High-level" programing language
  - Intuitive syntax

.center[![:scale 40%](./images/lightroastcomics.png)]

<div style="margin-top: -50px; text-align: left;"><a class="sourcelink" href="https://www.reddit.com/r/comics/comments/8fycox/parselfingers/">Image source</a></div>

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# Why Python?

- ### Widely popular

- [IEEE: Top Programming Languages 2022](https://spectrum.ieee.org/top-programming-languages-2022)

- [TIOBE index](https://www.tiobe.com/tiobe-index/)

- [Widely used in industry](https://scikit-learn.org/stable/testimonials/testimonials.html)

- [Job qualifications](https://midas.umich.edu/careers/)

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# JupyterLab

To run Python, we will use a web-based development environment called [JupyterLab](https://jupyter.org/).

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# Local recourses for data science

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- [Michigan Institute for Data Science (MIDAS)](https://midas.umich.edu/)
- [Software Carpentry at the University of Michigan](https://umcarpentries.org/)

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# Assignments

- [Software setup](https://imse440.org/software-setup.html)
- Read the [syllabus](https://imse440.org/syllabus.html) in its entirety
- [Course survey](https://forms.gle/1g7Jka2CAsoR5w9C8)