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 |
---|---|---|