Credits : 3

Type: Elective

Semester taught : Summer

Approximate number of students per semester: 20

Typical number of sections : 1

Lead professor(s) : J.Hickman jh2343@georgetown.edu

Teaching Assistant: Tahera Ahmed: [email protected]

Target audience : 1st or 2nd year students

Recommended prerequisites:

Intermediate coding experience in Python and/or R, and knowledge of introductory statistics

Dates: May 23, 2022 - Aug 12, 2022

Add/drop/withdrawal dates: https://summersessions.georgetown.edu/academic-calendar Meeting time/place:

Section-1:  Mondays  6:30 pm - 9:00 pm (REMOTE)

zoom link: https://georgetown.zoom.us/j/94999779591?pwd=R0VaWUM2MnJVWlgvajFWNVo1L3lt

Zz09

The zoom link can also be found on the left-hand side navigation bar in Canvas

Textbooks:

Information about the primary textbooks for the course can be found here

https://georgetown.box.com/s/n48ydwwvn99jfy4hq9s8lokeop0p2kc2

Additional optional textbooks can be found below

A User's Guide to Network Analysis in R (2015, Springer):

http://networksciencebook.com/

COURSE STRUCTURE:

Modules

The first and last week of the class will be standalone (i.e. not included in any module)

The course consists of 12 weeks divided into 5 modules, each focusing on a particular topic. All modules are two weeks long. Generally each module includes an introductory lecture (first

week) followed by a more in-depth lecture (second week).

Lectures

Each week will contain a 1.5-hour lecture, followed by a 1-hour lab period.

The lecture covers a large amount of information so questions should be held until the end

If you have a question simply make a quick note with the slide number and then bring it up at the

end

General Q&A at end (~10 minutes):

Lab

Student presentations (when applicable)+Q&A: (~10-20 minute)

Lab coding exercise (~40-60 minutes):

Outside of class

This class will take 10 - 20 hours per week.

It will require a lot of coding, reading, work, interaction, participation, and graduate-level studying.

DELIVERABLES AND LATE POLICIES

DUE DATES:

Except for lab assignments, ALL OTHER DELIVERABLES are due on Sunday's at midnight (11:59

PM EST).

Labs are due on Tuesdays at midnight (11:59 PM EST) the day after they are assigned Specific due dates for this class can be found in three locations;

(1) On each assignment's associated Canvas page.

(2) At the bottom of the syllabus page.

(3) The course calendar in the syllabus below

Total points: 1100 (200+300+300+150+100+40+10)

1 course compliance quiz (10 points)

DESCRIPTION:

During the first week of the semester there will be a short quiz. Its purpose is to ensure that you

have read and understood the deliverables, grading policies, due dates, and all other details in the syllabus.

It can be taken twice with the highest score retained

The quiz is timed with 30 minutes to complete it

SUBMISSION: This quiz will be done in Canvas

LATE PENALTY: This is not allowed to be late. It CAN NOT be submitted after the deadline. After the

deadline you'll receive zero points.

GRADING: Quizzes are automatically graded by canvas

1 Attendance grade: (40 points)

DESCRIPTION: Everyone will start with 40 attendance points at the beginning of the semester. GRADING:

-5 points per instance of un-excused absence from class

Attendance will be taken at the beginning of each lecture.

-1.0 points per instance for not engaging in the class.

To ensure engagement I will occasionally call on a student chosen at random to answer a     question. Failure to respond promptly will results in a deduction from the attendance grade. I will also make a note if I see anything that qualifies as "not engaging" in class. After class I

will deduct the points from canvas and provide a description of the infraction. -2.0 points if you leave early from lecture or lab without permission

Attendance will also be taken at the end to ensure that no one has left early                      Lab attendance is mandatory. You can't just leave once the lecture is done and ignore the lab.

LATE PENALTY: N/A

10 Lab assignments (10 points each --> 100 points )

DESCRIPTION: Most weeks will have a lab assignment, typically in the form of a Jupyter notebook or R

markdown document.

SUBMISSION: Unless otherwise stated, lab assignments will be submitted to Canvas as a PDF output of

the completed assignment.

LATE POLICY: Lab assignments are due the day after the lecture at midnight. Late submission will

result in 0.42% penalty per hour (i.e. 10% per day) for up to two days. After two days past the deadline, the assignment CANT be submitted and you'll receive a zero.

GRADING:

Labs will be graded quickly based on completion using the following guidelines

-0 points: lab was fully completed as expected

-2 points: lab was mostly completed but there were a few things missing -5 points: many components of the lab were left in-complete

-10 point: lab was not submitted before final deadline

5 discussion grades (30 points each ->150 points)

DESCRIPTION: Every two weeks there will be a discussion component. Details about each discussion

will be included on the discussion's canvas page. However, typically you will have to listen to a           podcast(s) or read a academic publication and then do a zoom call with your project group members to discuss the content.

LATE POLICY: Discussions are not allowed to be late unless approved beforehand for irregular

circumstances. You'll receive zero points for discussions submitted after the deadline.

SUBMISSION: Discussions will be submitted to Canvas. See each discussion's canvas page for details

GRADING: See each discussion's canvas page for details

5 comprehension quizzes (50 points each -> 300 points)

DESCRIPTION:

Every two weeks there will be a Canvas quiz. These are included to ensure that you understand

the course material. These will not be easy "reading quizzes" where you can just look up the        answers. Questions will be difficult and you will need to pay attention during the lectures to pass them.

You will only have one attempt to do the quiz end it will be timed based on the number of

questions.

Quizzes won't be made available until the second week of the module. After which point you will

have enough background information to attempt the quiz.

SUBMISSION: Quizzes will be done in Canvas

LATE POLICY: Quizzes are not allowed to be late. They CAN NOT be submitted after the deadline

GRADING: Quizzes are automatically graded by canvas

5 Homework assignments (50 points each -> 300 points)

DESCRIPTION: Every two weeks there will be a homework (HW). Typically the homework assignment

will be broken into two parts.

The first will be conceptual & educational, meaning that it is designed to get you familiar with the

fundamental concepts discussed in the lecture.

The second half will be more applied and open ended, meaning that you will be asked to do some

"real world analysis" as part of your group project.

LATE POLICY: HWS result in 0.42% penalty per hour (10% per day) for up to two days, after two days

past the deadline the homework CANT be resubmitted and you'll receive a zero.

More details will be included on each HW's Canvas assignment's page about submission and grading. 1 Semester group project: (200 points).

DESCRIPTION:

You have been randomly assigned to a group of three members.

https://georgetown.instructure.com/courses/149754/groups#tab-19028

You job is to do an open ended network analysis based research project. Similar to portfolio

projects that you've done in other classes. However, the form factor will be a PDF article, similar   to an academic publication, rather than a website. Your group will also present your results to the class twice (1) halfway through the semester (2) during the last week.

The goal is for you to learn to carry out independent, academic level research. Project checkpoints will be included as parts of your HW assignments.

The assignment has three parts

Paper: (100 points)

Goal: Write an academic research paper that could be submitted to a peer reviewed journal. You don't actually have to submit the final product to a journal but that is the level of           expectation.

Think of it as a draft of a research paper that you would submit to a Ph.D. or Master's advisor

for further "fine tuning" and refinement.

Code submission: (20 points):

The code will be submitted for completeness sake. Mostly I will check to make sure that you

did in fact write your own code and that all the figures generated in the PDF are original (i.e created by your group).

Midpoint Presentation video: (30 points)

see assignment page:

https://georgetown.instructure.com/courses/149754/discussion_topics/905962

Final Presentation: (50 points)

Create a slideshow and present your final work to the class during the last week

Treat this similar to a research talk at a conference

You can use your mid-point presentation as a starting point for the final presentation length: 18 min presentation + 2 minute Q&A (20 minutes total)

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