Professor Donald Bowen
Office: RBC 460
Personal website: https://bowen.finance
TA - Daniel Appierto
(1) puts the world of data at your fingertips, (2) makes the essential task of collaboration — a must in (complicated and large) real-world projects — easier.
Office hours, actually let's call these...
I suspect that the initial learning curve will be steep, so I have posted a lot of office hours. Around Valentines Day, I will reduce my explicit office hours. Remember, when you get stuck, to check out the resources in the Resources and Help tab.
In RBC 460, with Prof. Bowen:
In RBC 407, with Mr. Appierto:
These are subject to change, so please check back!
(1) project management and programming golden rules>
* = $$$, and ** = :)
(2) our data science “stack”
(3) data: cleaning, exploring, visualizing and organizing
(4) web crawling and data scraping
(5) prediction models and data analysis
* “A few times a year, I get asked to be a judge of student statistical projects in politics or sports. While the students are very bright, they spend WAY too much time using fancy statistical methods and not enough time framing the right questions and contextualizing their answers. If you want to be a good data scientist, you should spend ~49% of your time developing your statistical intuition (i.e. how to ask good questions of the data), and ~49% of your time on domain knowledge (improving overall understanding of your field). Only ~2% on methods per se.” - Nate Silver
Unless explicitly noted, all assignments must be completed individually. Changes to submissions after the deadline will be ignored, and missed assignments will receive a zero.
Student Senate Statement on Academic Integrity
We, the Lehigh University Student Senate, as the standing representative body of all undergraduates, reaffirm the duty and obligation of students to meet and uphold the highest principles and values of personal, moral and ethical conduct. As partners in our educational community, both students and faculty share the responsibility for promoting and helping to ensure an environment of academic integrity. As such, each student is expected to complete all academic course work in accordance to the standards set forth by the faculty and in compliance with the University’s Code of Conduct.
More on Academic Integrity
The work you do in this course must be your own. This means that you must be aware when you are building on someone else’s ideas—including the ideas of your classmates, your professor, and the authors you read—and explicitly acknowledge when you are doing so. Feel free to build on, react to, criticize, and analyze the ideas of others but, when you do, make it known whose ideas you are working with. If you ever have questions about drawing the line between others’ work and your own, ask me and I will give you clear guidance or you may visit Lehigh Library’s ‘Proper Use of Information’ page at http://libraryguides.lehigh.edu/plagiarism
The Principles of Our Equitable Community
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There is nothing here, because the class hasn’t started! Who is to say what is “frequent”? But this section will constantly evolve. Please check back often.
This course draws on great work, including: