Adjunct Teaching Opportunities - Information Systems and Analytics Bookmark this Posting Print Preview | Apply for this Job Posting Details Position Information Job Title Adjunct Teaching Opportunities - Information Systems and Analytics Full Time / Part Time Part Time Job Type Adjunct Reports To Chair, Information Systems and Analytics Position Summary The Department of Information Systems and Analytics at Bryant
University invites applications for adjunct instructors to teach the following courses: AA630 Data Management and Visualization Monday between 6:30pm and 9:10pmISA310 Data Visualization Monday and Thursday between 5:30pm and 6:45pmISA472 IT Security and Risk Management Monday and Thursday between 2:20pm and 3:35pm In addition to the specific course section listed above, the Department of ISA is also seeking to build
a qualified pool of adjunct instructors who may be available to teach a range of undergraduate courses during the spring 2027 semester. We welcome applications from experienced IT, Analytics and Data Science professionals and educators with expertise in areas such as cybersecurity, Analytics and AI. Candidates who are interested in being considered for future course assignments are encouraged to apply, noting their
areas of specialization and availability. Course Descriptions: AA630 Data Management and VisualizationThis course equips students with practical skills and knowledge in managing and manipulating data using Python and SQL, two of the most essential tools in modern analytics. Students will gain an in-depth understanding of relational databases, including schema design, normalization, and query optimization. They will
learn to write efficient SQL queries for extracting, transforming, and analyzing data from databases, applying advanced techniques such as joins, subqueries, and aggregations. The Python component of the course focuses on importing, cleaning, transforming, and summarizing data for analysis. Students will work with real-world datasets, applying Python libraries like pandas and numpy to handle data preprocessing and
manipulation tasks. Emphasis will be placed on building seamless workflows that integrate Python and SQL for end-to-end data management solutions. Through practical assignments and a project, students will apply their skills to solve data management challenges, demonstrating their ability to handle complex datasets and provide actionable insights. This course prepares students to manage data workflows efficiently and
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