BASIC FUNCTION:

The Department of Mathematical Sciences is seeking adjunct faculty for teaching assignments during the 2022-2023 academic year. Courses include our DSA-202 and STA-173.

DSA202: Data Analysis and Visualization (3 Credits) Spring 2023, Currently Monday, Wednesday, 4:00 PM - 5:15 PM, but alternative scheduling may be possible.
Prerequisites: (DSA201 and CSC103) and (STA173 or an MTH course numbered 172 or higher).
In this course students study data structures, data representation, data cleaning, visualization techniques, software for visualization and analysis, data patterns, time-dependent data, hypothesis generation, and descriptive statistics. Use of software such as Python along with selected data-science-related Python libraries and Tableau.

STA173: Statistical Methods (3 Credits) Spring 2023, Two sections, both Monday and Wednesday, one at 11:00 AM - 12:15 PM and the other at 1:00 PM - 2:15 PM.
This course will address a broad spectrum of fundamental statistics concepts. The topics include exploratory data analysis, basic probability distributions, sampling distributions, interval estimations, hypothesis testing, and significance testing (P-Values) with single, paired and two-sample problems.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Prepare and teach classes
• Prepare, proctor and grade examinations
• Grade and return student assignments, examinations, reports, etc. in a timely manner
• Provide a course syllabus at the start of the semester to the department chair (A template will be provided by the department chair.)
• Basic use of the Canvas learning management system to disseminate syllabus, and other course material to students. (Help using this system is available, if needed.)
• Hold weekly office hours
• Use Salve email (i.e., @salve.edu) to send and receive official email correspondence with students, staff, and administrators.

A minimum of a master's degree in computer science, data science, mathematics, statistics, or a related discipline, along with teaching experience

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