Teaching

Instructor — Database Management Systems

BSAN 326 / IST 326  ·  Syllabus (Fall 2026)
Fall 2024, Fall 2025, and Fall 2026

I independently teach this undergraduate course on the foundations and business applications of database management. Topics include relational data modeling, logical database design, normalization, SQL, database implementation and management, and emerging applications of AI and cloud technologies in data management.

Selected Teaching Evaluations

Fall 2024 BSAN 326: 4.29 / 5
Fall 2025 BSAN 326: 4.10 / 5
Fall 2025 IST 326: 4.36 / 5

Teaching Assistant — Advanced Machine Learning

BSAN 745

This graduate-level course focuses on machine learning for nontraditional data, particularly text, networks, and images. Topics include web scraping, text processing, sentiment analysis, topic modeling, network analysis, and shallow and deep learning, with applications implemented primarily in Python or R.

Teaching Assistant — Data Mining and Predictive Analytics

BSAN 450

This course covers predictive modeling and data-mining methods for business applications. Topics include feature selection, resampling, time-series modeling, tree-based methods, neural networks, text analytics, deep learning, and large language models, with an emphasis on model evaluation, interpretation, and practical business applications.

Instructor — Elementary Statistics I

STAT 1034  ·  Syllabus (Spring 2020)

I independently taught this introductory statistics course for students without a calculus background. Topics include descriptive statistics, graphical and numerical data analysis, sampling and experimental design, probability, random variables, the normal distribution, sampling distributions, confidence intervals, and introductory hypothesis testing.

Instructor — Elementary Statistics II

STAT 1035  ·  Syllabus (Fall 2019)

This second course in introductory statistics focuses on statistical inference. Topics include one- and two-sample hypothesis tests for means and proportions, chi-squared tests, linear regression, analysis of variance, and nonparametric rank-based methods, with emphasis on selecting appropriate statistical procedures and interpreting results.

Teaching Assistant / Recitation Instructor — Calculus I & II

MATH 1061 / MATH 1062

Led recitation sections and supported students through problem-solving, review, and discussion of course material.

Teaching Assistant / Lab Instructor

MTH 101 — Intermediate Algebra and Calculus

Supported classroom and lab instruction and worked directly with students on quantitative problem-solving and course exercises.