Data Science Fast Track Curriculum Developer

Per the NFA Contract, Article 10, TMCC is announcing to all eligible Academic and Administrative faculty that a need exists for a Data Science Fast Track Curriculum Developer.

Posting Date

Nov. 14, 2022

Description

The Data Science Fast Track Curriculum Developer will develop course materials, assignments, assessments and the course Canvas site for the DATA 201 course, Introduction to SQL.

Scope of Work

This is an assignment requiring additional work days/hours outside of regular contract days. This assignment will begin on Dec. 5, 2022, and will end on Jan. 20, 2023. The position will entail approximately 45 hours of work. This assignment is not automatically renewed annually.

Responsibilities and Deliverables

  1. Develop the course materials, assignments, projects, and assessments for the course per the established Course Objectives, Learning Outcomes and Learning Measures.
  2. Develop the Canvas site for the program instruction.
  3. Perform assigned duties in a manner consistent with standards, mission and goals of Truckee Meadows Community College.
  4. Maintain sensitivity to and an understanding of the diverse academic, socioeconomic, cultural and ethnic backgrounds and disabilities of community college students.
  5. Comply with published college policies and procedures.
  6. Other duties as assigned by the Dean.

Qualifications

Current TMCC faculty (teaching or administrative). Experience in teaching in Statistics, Computer Science, or Computer Information Technology. Experience with curriculum development.

Compensation

3 credits release or stipend

Reports To

Dean of Math and Physical Sciences

Application Process

Interested faculty will submit a letter of interest describing special qualifications and background information no later than 5 p.m. on Friday, Nov. 30, 2022

The letter should be addressed to Anne Flesher, Dean of Math and Physical Sciences. Note: Administrative faculty must include a documented plan for separation of the additional assignment work from regular work time.

Selection Process

The Dean will notify applicants of the hiring decision on or before Dec. 1, 2022.