"Adjunct Faculty, Data Analytics and Visualization"

General purpose:

To provide asynchronous instruction for Data Analytics and Visualization (DAV) graduate students and to convey knowledge of multiple elements of data analytics from a professional perspective.

Summary of Essential Functions:

• Develop and maintain an engaging asynchronous online learning environment via Canvas.
• Collaborate and coordinate with Program leadership and faculty.
• Hold virtual office hours for the duration of the class.
• Provide core instruction to satisfy primary learning objectives of the course.
• Provide timely feedback on and assessment of student work.
• Work directly with the curriculum team to establish program and course learning objectives, standardize rubrics and syllabi, and assist in structuring course materials on Canvas.

Essential Duties & Responsibilities:

• Prepare asynchronous lesson plans for the duration of the course. This may include sourcing supplementary materials from diverse sources, ensuring course materials are relevant, up-to-date, and in alignment with program learning objectives.
• Design and deliver engaging asynchronous learning materials, including video lectures, interactive exercises, and discussion forums.
• Maintain consistent communication with students:
  • Holding at least one hour of regular virtual office hours every week.
  • Replying to any student communication within 24 hours.
• Evaluate and provide feedback on student work. This includes providing timely written and/or audio/video feedback via Canvas and keeping a current gradebook.
• Maintain the Canvas course throughout the term. This includes updating the syllabus, setting assignments with due dates, and providing slide decks and other materials to students in modules.
• Perform other related duties as assigned.

Knowledge, Skills, and Abilities:

• Knowledge of Data Analysis and Visualization subject matter.
• Courses in this degree include:
  • Foundations of Data Analytics and Visualization Literacy
  • Statistics and Analysis I
  • Statistics and Analysis II
  • Visual Storytelling I
  • Visual Storytelling II
  • Design Lab: The Industry Challenge
  • Capstone I & II
• Applicants should have experience and expertise in at least one of the above areas of knowledge.
• Applicants should be comfortable with using technology in an online learning environment, including Canvas and video conferencing platforms.
• Applicants should be able to demonstrate pedagogical knowledge of their subject area, with an emphasis on asynchronous instruction.
• Proficiency in data analytics and visualization programs such as R, Tableau, Excel, Python, Adobe Illustrator, and others as necessary.

Minimum qualifications:

• Bachelor's degree in a related field plus proven/relevant professional experience

Preferred qualifications:

• Masters degree in a related field plus proven/relevant experience
• Experience teaching in an online or asynchronous format.
• Expert knowledge of data visualization tools such as R, Tableau, Python, D3

Conditions of Employment:

• Satisfactory background check

Salary

$4,515.00 - $7,656.00 (commensurate with experience)