CUNY Adjunct Faculty Open Rank - Mathematics (Multiple Positions) in New York, New York
Adjunct Faculty Open Rank - Mathematics (Multiple Positions)
Guttman Community College
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FACULTY VACANCY ANNOUNCEMENT
Stella and Charles Guttman Community College at CUNY seeks adjunct faculty to teach first-year Statistics and College Algebra courses. These courses are primarily offered to first-year students participating in Guttman’s inquiry-based, first-year curriculum (“First-Year Experience” or “FYE”). Please visit our website to learn more about Guttman’s FYE: https://guttman.cuny.edu/academics/academic-programs/first-year-experience/
We are seeking adjuncts with availability to teach in the 6-week “Fall II” session (1/03/2024 to 2/23/2024). Additionally, candidates are sought with availability to teach courses in the evenings and on weekends. For this position, the successful candidate will possess expertise in statistical analysis and/or algebra with a background in a mathematics or quantitative discipline that reflects qualification for and interest in this position. In addition, the successful candidate will demonstrate the ability to use effective pedagogical and technology-based strategies that enable the success of all students.
Adjunct faculty perform teaching and guidance duties related to the course descriptions below.
MATH 103: STATISTICS
This is an introductory statistics course, providing students with an in-depth understanding of the fundamental concepts and computational methods of statistics. These concepts will be developed through the question of how to estimate an unknown quantity using sample data. Students will learn to incorporate the foundational concepts of mathematics with statistical analysis to describe and solve real-life problems and questions. Students will be taught to use estimation and precision and will learn math study skills to assess and enhance their learning, their processes and their results. Students will use statistical software, graphing calculators, Microsoft Excel, MyOpenMath, etc. to carry out a semester-long project involving data description and analysis. The topics addressed include: displaying categorical data using tables, bar graphs, and circle graphs; drawing conclusions about categorical data; displaying quantitative data using dot plots, stem-and-leaf plots, histograms and box-and-whisker plots; describing data distributions using measures of center (mode, mean, and median) and measures of spread (standard deviation, range and IQR); Displaying bivariate data using scatterplots; analyzing bivariate data using linear regression; elementary probability; normal probability distributions, sampling distributions; confidence intervals and hypothesis testing of the proportion and the mean.
MATH 103A STATISTICS A AND MATH 103B STATISTICS B
MATH 103 A and MATH 103 B are a year-long version of MATH 103 offered in two sequential parts.
MATH 120 College Algebra & Trigonometry
This course serves to prepare students for the mathematics required in the majors and launch them on a trajectory to Calculus. Algebraic concepts and skills are explored in context, and developed through the manipulation of symbolic expressions, equations, and functions. Verbal, numerical, and graphical representations of functions are employed throughout, with a strong emphasis placed on developing conceptual understanding and procedural fluency. Topics include linear and quadratic equations; systems of linear equations; linear inequalities; radical equations; rational expressions; factoring polynomials; rules of exponents; an introduction to exponential, and logarithmic functions; right-triangle trigonometry; an introduction to radians and trigonometric functions in the unit circle; and modeling realistic situations with functions. Students will use graphing calculators and software to solve complex, real-world mathematical problems. Students will design and carry out a robust project involving algebraic analysis of a real-world issue of interest.
ABOUT GUTTMAN COMMUNITY COLLEGE
Guttman Community College is a federally-designated Hispanic Serving Institution (HSI) with a culturally diverse student body of 1,000 students drawn from across New York City. The College strives to create and to maintain an inclusive learning environment. Please visit our website for the latest information on Guttman’s academic model, enrollment and student data to learn more about our growing institution: http://guttman.cuny.edu/about/ .
The Stella and Charles Guttman Community College is a beacon of innovation and knowledge creation in higher education, a two-year college where evidence-based high-impact practices in curriculum design and delivery permeate the educational model and have yielded graduation rates that are the highest in CUNY’s community college sector and above the national average. Located in midtown Manhattan, Guttman draws a culturally diverse student body from across New York City and is a federally designated Hispanic Serving Institution.
The College is committed to using a range of innovative approaches to achieve its goals and to improve student persistence, retention, completion, and transfer. The centerpiece of Guttman’s educational model is an integrated first-year core curriculum, where students examine current world issues and use New York City as a living text and laboratory. Thus, connecting information and concepts across multiple disciplines, contexts, and perspectives. This immersive approach equips Guttman students with the foundation of knowledge and skills essential to their intellectual, social, civic, and professional endeavors in and beyond the classroom. The College admitted its first cohort of 300 students in August 2012 and has established an enrollment target of 5,000 students in the coming years. Before applying, candidates are strongly encouraged to visit the Stella and Charles Guttman Community College website ( www.guttman.cuny.edu ) to learn more about the institution.
For Adjunct Assistant Professor, Adjunct Associate Professor, or Adjunct Professor:
Ph.D. degree in area(s) of experience or equivalent. Also required is the ability to teach successfully.
For Adjunct Lecturer:
Bachelor's degree in area(s) of expertise, and the ability to teach successfully. Master’s degree preferred.
Experience teaching in a community college. Demonstrated ability in most of the following:
Teaching students of diverse racial, ethnic, linguistic and educational backgrounds
Active, student-centered pedagogy and significant student mentoring experience
Use of current technology as it supports teaching and learning
Adjunct Lecturer: $91.67 per hour
Adjunct Assistant Professor: $100.00 per hour
Adjunct Associate Professor: $108.33 per hour
Adjunct Professor: $112.50 per hour
Commensurate with qualifications and experience.
CUNY offers faculty a competitive compensation and benefits package covering health insurance, pension and retirement benefits, paid parental leave, and savings programs. We also provide mentoring and support for research, scholarship, and publication as part of our commitment to ongoing faculty professional development.
HOW TO APPLY
From our job posting system, select "Apply Now", create or log in to a user account, and provide the requested information. If you are viewing this posting from outside our system, access the employment page on our website and search for this vacancy using the Job ID (#27688) or Title (Adjunct Faculty Open Rank - Mathematics (Multiple Positions)).
Applicants should provide a resume/CV, cover letter, the names and contact information of three professional references, and a statement of scholarly interests. To be considered for review, include days and times of teaching availability with applications.
Open until filled
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EQUAL EMPLOYMENT OPPORTUNITY
CUNY encourages people with disabilities, minorities, veterans and women to apply. At CUNY, Italian Americans are also included among our protected groups. Applicants and employees will not be discriminated against on the basis of any legally protected category, including sexual orientation or gender identity. EEO/AA/Vet/Disability Employer.