Adjunct, Mathematical Sciences

Contract Type

Semester based.

The Department of Mathematical Sciences is seeking adjunct faculty for teaching assignments during the  academic year. Courses may include our MTH
170 Concepts in Mathematics, MTH
172 Quantitative Methods for Business, and STA
173 Statistical Methods. Courses will be held in-person on our campus in Newport, RI.

• MTH
  170:
  Concepts in Mathematics (3 Credits) – Fulfills Core Requirement in Mathematics. This course stresses the breadth of mathematics both continuous and discrete, probabilistic as well as deterministic, computational and conceptual while providing students with tools needed to investigate, explore and understand the thematic connections that exist between discipline‑based courses. Students investigate appropriate mathematical subject matter drawn from areas such as graphs and networks, the concept of change, combinatorics and probability, modern algebra, number theory, and personal finance.
  
  In addition to considering mathematical concepts that are the foundations of these areas in mathematics, students investigate applications of mathematics.
• MTH
  172:
  Quantitative Methods for Business (3 Credits) – Fulfills Core Requirement in Mathematics. Students study some of the great achievements and concepts in the discipline of mathematics along with their use in the analysis and solution of business problems. Students study the mathematics of finance, decision analysis, project management, and demand forecasting. Students study and apply the mathematical concepts related to expected value decision making and linear programming.
  
  Students also study exponential, trend adjusted, and seasonal forecasting as well as quantitative financial concepts such as interest, discounts, annuities, and present value analysis.
• STA
  173:
  Statistical Methods (3 Credits) – 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.

• Prepare and teach in‑person, on‑campus 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).
• Use the Canvas learning management system to disseminate syllabus, and other course material to students.
• Hold weekly office hours.
• Use Salve email (i.e., ) to send and receive official email correspondence with students, staff, and administrators.

• A minimum of a master’s degree in mathematics, statistics, or a related discipline, along with teaching experience.
• Ability to teach in‑person classes at the scheduled class times.

Salve Regina University strives to provide equal opportunity in employment and education to all employees, students and applicants. No employee, student or applicant shall be discriminated against or harassed on the basis of race, color, national and ethnic origin, sex, sexual orientation, gender identity or expression, religion, disability, age, marital or parental status, military or veteran status, genetic information or any other basis protected by applicable federal or state law, in the administration of Salve Regina's employment policies, education policies, admission policies, scholarship and loan programs, athletic and other University administered programs.

In accordance with Title IX, it does not discriminate on the basis of sex in any of its educational programs or activities. Salve Regina is also committed to making its programs and campus accessible to its visitors and compliant with all applicable non‑discrimination laws.