Course Syllabus

Wharton Ph.D. Tech Camp 2022

 

Instructor:

Atiye Cansu Erol

Office: JMHH 532.2

Email: acerol@wharton.upenn.edu

 

Office Hours:

By appointment

 

Class Time:

MWF 10:30AM – 12:00PM from August 5th through August 24th, 2022

Our first class will meet on Friday, August 5th

We will meet in-person unless there is a new update in the university guidelines.

 

Room: JMHH F50

 

Course Description:

The aim of this course is to familiarize incoming and current Wharton Ph.D. students with the basic technical skills and tools required for empirical research. The course is primarily concerned with acquiring, cleaning, managing, and analyzing data. It will provide hands-on experience using variety of computing tools, including intro-level machine learning and natural language processing techniques.  At the end of this short-term course, students will have a better understanding of what tools are most appropriate for different data analysis tasks at hand, and how they fit into their research pipeline.

 

Prerequisites:

There is no prerequisite for this course. Students with no programming experience will likely benefit the most, but students with prior experience will also learn how their programming skills fit into a larger empirical research pipeline. Feel free to attend the sessions selectively. Auditing is welcome. There is no exam.

 

Schedule:

Day 1 (Aug 5th) - Intro to R : data structures, loops, functions, logic tests

Day 2 (Aug 8th)- Data Wrangling

Day 3 (Aug 10th) - Relational Data

Days 4 & 5 (Aug 12th -15th) - Data Visualization(base plots, ggplot2, Word Clouds, Maps)

Day 6 (Aug 17th)- NLP

Days 7 & 8  (Aug 19th - 22nd)- Machine Learning

Day 9 (Aug 24th)- General info about HPCC & some comments on causality if we have time

 

Course Summary:

Date Details Due