Lecturer, Master of Science in Biomedical Informatics Program- Intro to Applied Data
Created at the founding of the University, the Graham School of Continuing Liberal and Professional Studies is committed to enhancing the University of Chicago's place as a preeminent intellectual destination through support of lifelong learning. Graham is dedicated to curating and disseminating the University's rich content for a broader set of learners in ever more innovative ways, helping the University engage civically, globally, and with the latest innovations in teaching and learning.
The Graham School is currently seeking qualified applicants for a part-time position to teach Introduction to Applied Data Analysis in our Master of Science in Biomedical Informatics program beginning in Winter 2018. Current University faculty and staff, as well as professionals working in relevant positions outside of the University, are eligible to apply. Courses are offered at the downtown campus in Chicago.
- Develop syllabus including weekly topics, learning objectives, readings, and plan for in-class content (lectures, exercises/activities, and/or lab).
- Develop and execute in-class content (lectures, exercises/activities, and/or lab).
- Hold office hours. Lecturers are expected to spend at least 1-2 hours per week meeting with students.
- Develop graded assignments, must minimally include a mid-term and final assignment and course participation grade. For courses with weekly computer lab sessions, weekly assignments should be offered to allow students to master content.
- Grade assignments and return comments and grades to students via Canvas course site in timely manner (within 1 week for weekly assignments and within 10 days of submission for larger assignments).
- Attend all in-person sessions.
- If using online instruction, you must plan and create content in conjunction with Graham School's online instruction design team. Note, adequate time and planning is required for this option.
- A standard course includes 10 weeks of weekly in-person sessions (weekday evenings from 6-9pm or Saturdays from 9am-12pm or 1-4pm). Total in-class time is approx. 30 instructional hours.
We are accepting applications to teach the following course:
Introduction to Applied Data Analysis
This course will introduce students to the concepts of research design, working with healthcare data, managing secondary data sets, and basic data analysis including descriptive statistics and measures of association. The course will outline methods for identifying appropriate datasets and using tools to analyze data, evaluate hypotheses, and interpret results. The goal is to help students learn how to describe, present, summarize, and organize data effectively in the area of biomedicine.
After initial review of applications, applicants may have the opportunity to submit a course proposal.