Teaching
Alvarez College of Business, UTSA 2021 - 2024
Instructor for the UTSA workshop series on “Data Analytics with Python.” The workshops are on the four Saturday afternoons from 9/16/2023 - 10/7/2023. The course materials can be accessed here. The workshop videos are also available on YouTube.
Schedule:
(1) Introduction to data analytics and Python, 1:00pm to 3:00pm, September 16th
(2) Data manipulation and visualization methods, 1:00pm to 3:00pm, September 23rd
(3) Regression and classification modeling with examples, 1:00pm to 3:00pm, September 30th
(4) Introduction to mathematical modeling with examples, 1:00pm to 3:00pm, October 7th
| Evaluation | Respondents | Overall Course | Overall Teaching |
|---|---|---|---|
| Data Analytics with Python | 20 | 4.8/5 | 4.85/5 |
Guest Lecturer in:
- DA 6813: Data Analytics Applications (GRAD), 2021 - 2024
- MS 4203: Business Analytics Applications (UGRAD), 2021 - 2024
Department of Anesthesiology, Joe R. & Teresa Lozano Long School of Medicine, UT Health San Antonio 2022 - 2023
Lecturer for Grand Rounds Lecture entitled, “Equitable Anesthesiologist Scheduling under Demand Uncertainty: the Secret behind UH-OR Shift Assignments.”
Lecturer for Grand Rounds Lecture entitled, “What Can You Trust? AI Risk in Healthcare.”
College of Engineering and Computer Science, SU
Graduate Teaching Assistant September 2015 - May 2020
Teaching and tutoring experience centered on courses related to PLM systems, which manage a product and associated data through all stages of the product lifecycle, including:
- Product design, development, and manufacturing that are the activities managed by the PLM systems;
- Data analytics that are the functionalities built into the PLM systems;
- Project management and decision making that is supported by the PLM systems;
- The associated software tools that are interacting with the PLM systems.
The courses included:
- MAE 284: Introduction to CAD (UGRAD), 100+ students 2016-2019
Topics: • 2D and 3D engineering drawing with SolidWorks for engineering designers (consisting of half course credit hours) - MAE 333: Data Analysis for Engineers (UGRAD), 70+ students 2018-2019
Topics: • Introduction to R • Data structures • Data processing and cleaning • Probability and distributions • Visualization • Machine learning techniques, i.e., regression, clustering, association rules mining - MEE 431: Manufacturing Processes (UGRAD), 70+ students 2019
Topics: • Introduction to Fusion 360 • Prepare homework problems and solution manual - MEE 548: Engineering Economics and Technology Valuation (GRAD), 70+ students 2020
Topics: • Project management • Cash flow and time-value of money • Decision trees • Risk management and @Risk • Weekly workshops on project management case studies • Prepare homework solution manual - MEE 571: Computer-Aided Design (GRAD), 20+ students 2015-2019
Topics: • Fundamentals of geometry representation with modern computer-aided design software package (PTC Creo) • Parametrical geometry information representation • Semantic geometry information representation • Ontology engineering • Advanced computer-aided design, i.e., 3D modeling for continuous smooth surface geometry, e.g., spoon, duck, and car projects - MFE 639: CAD/CAM Systems (GRAD), 20+ students 2015-2018
Topics: • Introduction to CAM systems with applications (SolidWorks and SolidCAM) • Information systems for CAD and CAM with applications - MFE 692: Design for Manufacturing (GRAD), 20+ students 2016-2018
Topics: • Introduction to 3D printing • Introduction to PLM and ERP systems • Database management • Change management • Data analytics and visualization • Guiding the student term projects, i.e., redesign projects of small kitchen appliances and UAVs