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Tentative Schedule

Date	Topics
Jan. 13	Intro to Observable Notebooks HTML SVG
Jan. 15	JavaScript Objects Randomness For Loops
Jan. 17	Transitions While Loops Animation
Jan. 20	Classes
Jan. 22	Using State
Jan. 24	Scales Axes
Jan. 27	Filtering Mapping Sorting
Jan. 29	Mathematical Functions
Jan. 31	Probability Distributions
Feb. 3	Midterm Practice
Feb. 5	Midterm
Feb. 7	Time Series
Feb. 10	Grouping and Aggregating
Feb. 12	Bar Charts and Histograms
Feb. 14	Web Scraping
Feb. 17	Web Scraping
Feb. 19	Hierarchical Data Sets and Trees
Feb. 21	Chord Diagrams
Feb. 24	Networks
Feb. 26	Final Practice
Feb. 28	Final

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Sexual Misconduct/Sexual Harassment Reporting

Mercyhurst is committed to providing an environment free from sex discrimination, including sexual harassment and sexual violence. The Counseling Center (814-824-3650) and the Student Health Center (814-824-2431) are both confidential resources where you can talk about incidents of sexual harassment and gender-based crimes including sexual assault, stalking, and domestic/relationship violence. These confidential resources can help you without having to report your situation (unless you request that they make a report). Please be aware that in compliance with Title IX and under Mercyhurst Poli cies and Procedures, educators must report incidents of sexual harassment and gender-based crimes including sexual assault, stalking, and domestic/relationship violence. If you disclose any of these situations in class, in papers, or to me personally, I am required to report it to the Title IX Coordinator (or any of the Deputy Title IX Coordinators).

Additional Resources:

Res Life On Call Professional (Erie Campus): 814-824-3889
Police Safety (Erie Campus): 814-824-2304
Crime Victim Center : 814-455-9414
Counseling Center (Erie Campus): 814-824-3650 (Provides Confidentiality)
Student Health Center (Erie Campus): 814-824-2431 (Provides Confidentiality)

The Title IX Coordinator for Mercyhurst is Alice Agnew, Old Main 301, 814-824-236.

`33:[] 2f:{"title":"Intro to Data Science Spring 2020","cells":[{"id":0,"value":"md`# Intro to Data Science Spring 2020`","pinned":false,"hidden":false,"mode":"ojs"},{"id":106,"value":"html`\n

Instructor Information

Name: Dr. Charles Redmond
Phone: 824-2355
Email: credmond@mercyhurst.edu
Office Hours WF: 8 AM-9 AM in Old Main Lab
Office Hours TTH: 8:15 PM - 10:15 PM in Cyber Labs 128

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Course Description

This is a hands-on course, where students will work with small and large data sets and go through the data science workflow, from data wrangling to data visualization. We will use JavaScript and Cheerio for most of our data wrangling and D3 for our data visualization. Our platform will be Observable Notebooks. There will be a particular emphasis on producing interactive applications, or reports, to share with users.

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Software and References

There is no textbook for the course. If you need references, I can provide them upon request.

Our major software tool for the course will be Observable Notebooks. You will not need to install anything on your computer.

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Course Objectives

After completing this course, students should be able to:

use an Observable Notebook;
write basic HTML;
style HTML;
draw shapes in SVG;
store data in JavaScript Objects;
generate random data;
program for loops;
program while loops;
animate SVG elements;
construct classes;
work with state;
employ scales and contruct axes;
filter, map, and sort data sets;
plot mathematical functions;
plot probability distributions;
plot time series;
group and aggregate data;
plot bar charts and histograms;
scrape data from the web;
contruct hierarchical data sets and trees;
construct chord diagrams;
plot networks.

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Grading

\n\n

We will have in-class assignments and homework, each of which will be a JavaScript Observable Notebook which you will construct. We will also have a midterm and a final. Each exam will consist of three programming challenges of varying difficulty level. You will be given a grade between 0 and 3, based on the highest level question you complete. The exams will be open note. You can use the sliders below to determine what must be accomplished to achieve each letter grade.

\n ${viewof inClass}\n ${viewof hw}\n ${viewof midterm}\n ${viewof final}\n

\n${grade}\n

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Learning Differences

Mercyhurst University is committed to making reasonable accommodations to\nassist individuals with disabilities in reaching their academic potential. Students with disabilities requiring accommodations should complete and submit\nthe accommodation form on the Learning Differences website and the required\ndocumentation to the Director of Equal Opportunity Programs (DEOP), 300\nOld Main, aagnew@mercyhurst.edu. Accommodations will not be granted prior\nto approval by the DEOP and will not be provided retroactively. Further information is available by visiting the Learning Differences website:

\nhttp://www.mercyhurst.edu/academics/learning-differences-program\n.

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Writing Center

The Writing Center is a place for all students to get feedback on any writing\nproject at any stage of the writing process. The Writing Center is located on the\nmain floor of the library near L225 and staffed mainly by trained student writing\nconsultants. Drop-in hours are M-Th 10-1 and 6-10; F 10-1; and Sun 6-10 or\nyou can sign up for an appointment using TutorTrac (\nhttps://mercyhurst.go-redrock.com). If you can’t make a physical trip, the Writing Center also\nhas an online submission platform where you receive feedback within 48 hours.\nLook for Online Writing Center in your list of Blackboard courses. Bring your\ncurrent work and assignment description to any session. Any questions? Find\nthe Writing Center on Facebook and Twitter @writingcentermu. Email us at\nwritingcenter@mercyhurst.edu

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Academic Honesty

Academic Honesty\n- Students are required to uphold academic integrity\nthroughout the course. In particular, plagiarism of any sort, unauthorized collaboration on exams, quizzes and other assignments, and other incidences of\nacademic dishonesty will be handled according to the policies set forth in the\nStudent Handbook.

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Student Ratings of Instruction

Near the end of the semester, you will be asked to complete an online course\nevaluation. The evaluation will be completed in class during the last two weeks\nof the semester using any laptop, tablet, or mobile device. The response tool\nallows you to note aspects of the course that helped you learn, as well as aspects\nthat might be modified to help future students learn more effectively. You will\nreceive an email letting you know when the evaluation window for our class is\nopen. Please note that these course evaluations are anonymous and instructors\ndo not see the results until after the grades for the course are submitted.

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Appendix

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":149,"value":"import {slider,button,select,text,radio,checkbox,number} from \"@jashkenas/inputs\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":152,"value":"viewof inClass = slider({min:0,max:1,step:.01,format:\".0%\",description:\"in-class assignments\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":155,"value":"viewof hw = slider({min:0,max:1,step:.01,format:\".0%\",description:\"homework\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":159,"value":"viewof midterm = slider({min:0,max:3,step:1,description:\"midterm\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":162,"value":"viewof final = slider({min:0,max:3,step:1,description:\"final\"})","pinned":false,"hidden":false,"mode":"ojs"},{"id":184,"value":"grade = {\n const assignments = (inClass + hw)/2\n const exams = (midterm + final)*.1\n const score = assignments + exams\n let grade = \"\"\n if(score >= 1.5){grade = \"A\"}\n else if(score>=1.3){grade = \"B+\"}\n else if(score>=1.1){grade = \"B\"}\n else if(score>=.9){grade = \"C+\"}\n else if(score>=.8){grade = \"C\"}\n else if(score>=.7){grade = \"D+\"}\n else if(score>=.6){grade = \"D\"}\n else{grade = \"F\"}\n return grade\n}","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W33","stdlib":"1","titling":"auto"}