Course Associate, Data Analysis and Visualization in Sustainability (Fall 2023)

Company Description

Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds to pursue greater human understanding, pioneering discoveries, and service to society.

The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage our students and faculty’s expertise, and connect global constituencies. Through eighteen professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.

Job Description

Columbia University, School of Professional Studies (SPS) seeks candidates to serve as a Course Associate to support the successful delivery of an on-campus graduate-level course. A Course Associate is a faculty line junior to a Lecturer, who provides subject matter expertise and supports the instructional process for a course section. Serving as a Course Associate is an excellent way to gain exposure to graduate-level teaching at Columbia University.

The course is Data Analysis and Visualization in Sustainability and it will run during the fall semester. Candidates must be available for in-person support on Tuesdays from 6:10pm to 8:00pm EST. The semester begins on Tuesday, September 5th and ends on Monday, December 11th. 

Data science is an exciting new field of applied research that takes advantage of the ever-growing volume of data being collected to support of decision-making in both the public and private sectors. Similar to traditional statistical analysis, these new approaches have limits and issues that are important to understand before application to problem solving. This course aims to introduce the common methods used in data science, best practices in data management, and the basic scripting skills required to start analyzing data in R and Python. After introducing foundational scripting and data analysis methods, a case study approach will be used to highlight both what can be accomplished with data analysis and the limits of the data and methods used. Lab exercises will teach basic skills in scripting in Python and R and then move to a common approach for data analysis: adapting existing scripts and software libraries to solve applied data problems.

The requirement to understand the interaction of social and natural systems requires data-driven policy decisions, and the ongoing assessment of policies requires rigorous, reproducible assessments of effectiveness for promoting sustainability. Both requirements can be met in part by data science approaches that are applicable to the natural and social sciences and reproducible in academic and applied settings. Data science techniques have been developed to derive insight from large volumes of available data that are often collected for purposes other than the interests of the data scientist. This flexibility in approach means that the techniques used in data science are well adapted to support gaining insights from data relevant for sustainability science. This course has been designed to introduce these techniques in anticipation of increased use in promoting sustainability.

The M.S. in Sustainability Management program is designed for those who wish to pursue a career in management that takes integrates sustainability considerations into economic activity. Graduates work to transform public and private organizations and governments by formulating and implementing tailored sustainability strategies. The coursework combines the study of management with classes in sustainability practice and science, with full-time and part-time options for those with current professional obligations. Students in the program learn the use of policy and management tools to address environmental impacts and risks, pollution control, and remediation to achieve sustainability.

Responsibilities

• Attend weekly class sessions, assist with instruction, lead breakout sessions, and facilitate discussions.
• Hold weekly office hours.
• Evaluate performance, grade student work, and provide effective feedback as requested by the course Lecturer.
• Monitor and address student concerns and inquiries.
• Build working relationships with the students, provide guidance and mentoring,