Hyunkyung Lee
@Emory University
Teaching
TEACHING INTERESTS
Business Analytics (Classification; Numeric Prediction; Clustering) - Python (scikit learn), Rapid Miner
Machine Learning (Web Scraping; Text Mining; Neural Network; Support Vector Machines; Ensemble) - Python
Big Data Management - MySQL, Microsoft SQL, Apache Hadoop, Hive, Spark, Cloud Environments (AWS, GCP)
Other Relevant Courses (Data Visualization, Programming)
TEACHING EXPERIENCE
INSTRUCTOR
Fall 2023. Data Analysis Toolkit, Goizueta Business School, Emory University (BUS290 -Undergraduate Course)
- Overall rating: 4.3/5.0
- Quotes from students' evaluation
"Professor Lee was very good at communication, providing feedback, and posting modules on time."
"Instructions and teaching were very clear, and I feel I genuinely was able to learn Excel and the skills needed to independently use this platform."
"Professor presented material in clear and digestible bits which made it easier to learn."
"The instructor provided the class with helpful modules that were easy to learn from and to follow. Additionally, the feedback on all of the assignments was detailed and helped me understand a problem when I did it wrong."
Spring 2024. Data Analysis Toolkit, Goizueta Business School, Emory University (BUS290 -Undergraduate Course)
- Overall rating: 4.2/5.0
- Quotes from students' evaluation
"The instructor was very helpful when needed, laid out the course in a way that was easy to follow, and organized assignments in a way that helped increase my knowledge and comfort with Excel."
"Professor Hyunkyung Lee was very communicative through Canvas and sent all the important information that was needed as and when required. The course material and expectations were very clear and the course was well structured."
"Gave very helpful suggestions for improvements after assignments."
GUEST LECTURER : Lectures on Data Science Applications in Business
Fall 2021. Intro. to Business Data Analytics, Goizueta Business School, Emory University (ISOM456 - Undergraduate Course)
- Overall rating: 4.9/5.0
- Quotes from students' evaluation
"The instructor was incredibly nice, and the presentation was very interesting and easy to follow!"
"I really liked how detailed and thorough the presentation was"
"The theme is very engaging; concepts are explained"
Fall 2021. Introduction to Business Analytics, Goizueta Business School, Emory University (ISOM672 - Master of Science in Business Analytics Course)
- Overall rating: 4.7/5.0
- Quotes from students' evaluation
"I really liked that it was well structured and well communicated. The slides were especially organized and easy to follow and flowed well with verbal words being spoken. Good integration of class content."
"The content was interesting, and I was engaged."
"Very thorough analysis and a great example of how to look at the data, engineer features, and model it"
TEACHING ASSISTANT
Introduction to Business Analytics, Goizueta Business School, Emory University (ISOM656 - Master of Science in Business Analytics Course)
- for 4 semesters (Fall 2019, Fall 2020, Fall 2021, Fall 2022)
Machine Learning II, Goizueta Business School, Emory University (ISOM676 - Master of Science in Business Analytics Course) - for 2 semesters (Spring 2022, Spring 2023)
Applied Data Science for Business, Goizueta Business School, Emory University (ISOM599R - EMBA Course) - for 2 semesters (Spring 2022, Spring 2023)
Python Lab Session for Introduction to Business Analytics, Goizueta Business School, Emory University (ISOM672 - MBA Course; Fall 2021)
OTHER TRAINING & TEACHING EXPERIENCE
Teaching Business Training, Emory University (Fall 2020)
Graduate School Workshop for Teaching Assistants, Emory University (Fall 2019)
Volunteer Teacher, Tutoring Volunteer Service for Primary Students (Fall 2010 - Winter 2011)