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.
(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

EvaluationRespondentsOverall CourseOverall Teaching
Data Analytics with Python204.8/54.85/5

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