Teaching

Courses Taught at Florida State University

Instructor, LIS 4761: Data Mining and Analytics

    • Level: Undergraduate
    • Mode of instruction: Face-to-face
    • Term: Spring 2019
    • This course provides an introduction to data analytics, which is defined as the extensive use of data, statistical and quantitative analysis, predictive and exploratory models to drive decisions and actions. Students will learn basic concepts and tools for data analytics, including common algorithms used to mine data (e.g., clustering and association rule mining), basic statistical modeling (e.g., linear and non-linear regression), mainstream tools for data mining (e.g., Weka, Orange Data Mining), and text mining (MetaMap).

Instructor, LIS 5916 Issues in Information Studies: Data Mining Methods and Applications

    • Level: Graduate
    • Mode of instruction: Online
    • Previous offering: Spring 2017 (Canvas Site) (SPCI Instructor Rating: 4.77/5.00), Spring 2018 (SPCI Instructor Rating: 4.56/5.00)
    • New course development
    • Students will learn basic concepts and tools for data analytics, including: data sources, data cleaning tools and methods, clustering analysis, association rule mining, predictive modeling, text mining. Students will also learn how data analytics are used in healthcare.

Instructor, LIS 5788 Management of Health Information Technology

    • Level: Graduate
    • Mode of instruction: Online
    • Previous offering: Fall 2016 (Canvas Site) (SPCI #13 Overall Instructor Rating: 5.00/5.00), Fall 2018
    • This course is designed to develop a conceptual framework for integrating fundamental health information technology management concepts, principles, policies, theories, and practice into an effective personal management process that relates to health related organizations.

Instructor, LIS 5631 Health Information Sources

    • Level: Graduate
    • Mode of instruction: Online
    • Previous offering: Summer 2018 (SPCI Instructor Rating: 4.56/5.00)
    • This course provides an overview of health information resources used in different contexts including clinical care, research and continuing medical education, as well as patient health care and health promotion and communication. Students will evaluate and explore a variety of medical and consumer health information sources. The class will discuss issues, trends, and policies related to the retrieval and use of health information including the different stakeholders that shape these (e.g., local, state and national organizations and professional associations). Course material is intended for those interested in professions that require the use and/or provision of medical and consumer health information sources in a variety of settings including bio-medical research, continuing medical education, clinical care and patient education.

Instructor, LIS 4930 Special Topics in Information Studies: Data Analytics

    • Level: Undergraduate
    • Mode of instruction: Face-to-face
    • Previous offering: Spring 2016 (Canvas Site) (SPCI #13 Overall Instructor Rating: 4.71/5.00), Spring 2017 (Canvas Site) (SPCI #13 Overall Instructor Rating: 4.33/5.00) Spring 2018 (SPCI Instructor Rating: 4.58/5.00)
    • New course development
    • This course provides an introduction to data analytics, which is defined as the extensive use of data, statistical and quantitative analysis, predictive and exploratory models to drive decisions and actions. Students will learn basic concepts and tools for data analytics, including common algorithms used to mine data (e.g., clustering and association rule mining), basic statistical modeling (e.g., linear and non-linear regression), mainstream tools for data mining (e.g., Weka, Orange Data Mining), and text mining (MetaMap).

Instructor, LIS 5782 Database Management Systems

    • Level: Graduate
    • Mode of instruction: Online
    • Previous offering: Fall 2015 (SPCI Overall Instructor Rating: 4.64/5.00), Fall 2016 (Canvas Site) (SPCI Overall Instructor Rating: 4.54/5.00), Fall 2017 (SPCI Overall Instructor Rating: 4.32/5.00), Fall 2018 (SPCI Overall Instructor Rating: 4.78/5.00)
    • The course covers the principles of database design and implementation including relational concepts, data modeling, conceptual and logical database design, use of SQL as a data-manipulation language, and current issues in database administration.

Courses Taught at New Jersey Institute of Technology

  • Instructor, CS 103 Computer Science - Business Problem (Undergraduate), Fall 2012, Spring 2013, Fall 2013
  • Instructor, CS 104 Computer Programming and Graph Problems (Undergraduate), Fall 2010, Fall 2011
  • Lab Instructor, CS114A Computer Science II (Undergraduate), Fall 2009, Spring 2010
  • Teaching Assistant, CS 332 Principle of Operating System (Undergraduate), Spring 2011
  • Teaching Assistant, CS 610 Data Structure (Graduate), Spring 2011
  • Mentor, Development team of the Neighborhood Auditing Tool, Spring 2009

Teaching Assistant at Columbia University

  • Teaching Assistant, Computer Science W 4111 Introduction to Databases (Graduate level), instructor: L. Gravano. Fall 2008