Adjunct instructor - Master of Science in Public Policy & Management Washington DC track program
Carnegie Mellon University
Washington D.C.
science
public policy
policy management
management
data
data visualization
visualization
public policy
dashboards
software
graduate students
management
analytical
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October 29, 2022
Carnegie Mellon University
Washington D.C.
FULL_TIME
Description
The Heinz College of Information Systems and Public Policy at
Carnegie Mellon University seeks an adjunct instructor to teach
diverse graduate students in the Master of Science in Public Policy
& Management Washington DC track program. The program seeks to
prepare diverse masters students for careers and impact in public
policy, government, international development and management.
Courses are taught at our campus in Washington DC. For the 2022-23
Academic Year, we seek candidates for the following course:
Data Visualization & Dashboards (Spring 2023)
This elective course, taught in person to second year Heinz College
public policy graduate students in Washington DC, provides students
with a formal grounding in data visualization as well as hands-on
experience using Tableau, a popular modern software package.
This course is designed to introduce data visualization as an
analytical tool, a medium of communication, and the basis for
interactive information dashboards. Students will learn best
practices in data visualization, sharpen analytical skills, and
learn how to design dashboards for use by stakeholders.
Students will have the opportunity to practice skills with concrete
deliverables, and will synthesize course material in a
comprehensive final project. This project will reinforce comfort
with the Tableau software package and will provide a portfolio item
for students. Students will use Tableau as their main tool to
visualize data and develop dashboards but will develop
transferrable skills which can apply to many of the most popular
software packages in the current marketplace.
The course is half semester (i.e. 7 weeks) in length, and is taught
on one weekday evening (M, T, W or Th) from 6-8:50 at our
Washington DC location. Adjunct instructors need to be available to
develop, organize and deliver course materials and assessments,
respond to inquiries, meet with students as needed, and provide
timely and relevant feedback.
Qualifications
Application Instructions Equal Employment Opportunity
Statement
Carnegie Mellon University shall abide by the requirements
of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These
regulations prohibit discrimination against qualified individuals
based on their status as protected veterans or individuals with
disabilities, and prohibit discrimination against all individuals
based on their race, color, religion, sex, or national origin.
Moreover, these regulations require that covered prime contractors
and subcontractors take affirmative action to employ and advance in
employment individuals without regard to race, color, religion,
sex, national origin, protected veteran status or disability.
The Heinz College of Information Systems and Public Policy at
Carnegie Mellon University seeks an adjunct instructor to teach
diverse graduate students in the Master of Science in Public Policy
& Management Washington DC track program. The program seeks to
prepare diverse masters students for careers and impact in public
policy, government, international development and management.
Courses are taught at our campus in Washington DC. For the 2022-23
Academic Year, we seek candidates for the following course:
Data Visualization & Dashboards (Spring 2023)
This elective course, taught in person to second year Heinz College
public policy graduate students in Washington DC, provides students
with a formal grounding in data visualization as well as hands-on
experience using Tableau, a popular modern software package.
This course is designed to introduce data visualization as an
analytical tool, a medium of communication, and the basis for
interactive information dashboards. Students will learn best
practices in data visualization, sharpen analytical skills, and
learn how to design dashboards for use by stakeholders.
Students will have the opportunity to practice skills with concrete
deliverables, and will synthesize course material in a
comprehensive final project. This project will reinforce comfort
with the Tableau software package and will provide a portfolio item
for students. Students will use Tableau as their main tool to
visualize data and develop dashboards but will develop
transferrable skills which can apply to many of the most popular
software packages in the current marketplace.
The course is half semester (i.e. 7 weeks) in length, and is taught
on one weekday evening (M, T, W or Th) from 6-8:50 at our
Washington DC location. Adjunct instructors need to be available to
develop, organize and deliver course materials and assessments,
respond to inquiries, meet with students as needed, and provide
timely and relevant feedback.
Qualifications
- The instructor should be an accomplished, culturally responsive
practitioner or academic with at least 2 plus years direct
experience or research in the field with a strong understanding of
data visualization concepts and direct experience using
Tableau. - Recent experience in teaching graduate level or professional
courses is preferred. - Master’s or PhD degree in relevant fields preferred
- Experience in engagement with students
- Demonstrated success in similar positions with positive
references.
Application Instructions Equal Employment Opportunity
Statement
Carnegie Mellon University shall abide by the requirements
of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These
regulations prohibit discrimination against qualified individuals
based on their status as protected veterans or individuals with
disabilities, and prohibit discrimination against all individuals
based on their race, color, religion, sex, or national origin.
Moreover, these regulations require that covered prime contractors
and subcontractors take affirmative action to employ and advance in
employment individuals without regard to race, color, religion,
sex, national origin, protected veteran status or disability.
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