Data Curation Teaching Assistantship (CS598-FDC)

Description, Responsibilities, and Qualifications

We are looking for teaching assistants for Foundations of Data Curation (CS598) in the Online MCS/DS  program. This is an online and asynchronous course administered via the Coursera platform. 

Primary Responsibilities: 

• Support students via Campuswire and online office hours
• Review all course materials and readings, solve all assignments and quizzes.
• Assist with overall course management in Coursera, PrairieLearn, and Campuswire
• Participate in weekly course staff meetings
• Other tasks as assigned including new assessment development and other contributions to course materials

Minimum Qualifications

• Must be a current (preferred) or incoming graduate student.  Please note that MSIM students are not eligible for TA positions.
• 3.75/4.0 minimum cumulative GPA
• Cannot reside outside of the US (university policy) or in California (California labor laws)
• English proficiency such as TEOFL speaking score >= 24, IELTS speaking score >=8 or passing OEAI exam.
• Demonstration of teaching proficiency through completion of CITL Graduate Academy or CS591 TA seminar (can be enrolled simultaneously)

Preferred Qualifications

• Current graduate students in Computer Science, Statistics, or Information Science. Online MCS/DS students are encouraged to apply
• Prior teaching experience
• Prior experience with Coursera, PrairieLearn, and Campuswire or related systems
• Completion of prior coursework in data curation, databases, information modeling, data cleaning, text/data mining, machine learning, or similar
• Experience with Python/Pandas, relational databases, semi-structured & graph data (including XML/JSON schema), privacy/anonymization methods, workflow automation, Linux administration, and containers.
• Please see the course website  for additional information.