CS 598 Foundations of Data Curation TA Application

Description, Responsibilities, and Qualifications

CS 598 Foundations of Data Curation TA Application

Overview, Responsibilities, and Qualifications

<Overview>

This class is currently offered only in the Fall semester to students in the Online MCS-DS program via Coursera. The TA hiring process typically begins in May.

Teaching assistantship positions (50% appointments) are available to students in programs designated as reimbursable. Appointments provide a full tuition waiver and stipend. In the past, most TAs have come from on-campus Computer Science, Statistics, and iSchool degree programs. Online MCS-DS students are encouraged to apply. iSchool MSIM students are not eligible for TA positions.

<Primary responsibilities>

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

<Qualifications>

-Minimum qualifications-

• Must be a current (preferred) or incoming graduate student
• 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 TOEFL speaking score >= 24, IELTS speaking score >=8 or passing OEAI exam.
• Received an A in this class (Online MCS candidates only)
• Demonstration of teaching proficiency through completion of CITL Graduate Academy or CS591 TA seminar (can be enrolled simultaneously)

-Preferred qualifications-

• Prior TA or teaching experience
• Experience with Coursera, Campuswire, PrairieLearn 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, privacy/anonymization methods, workflow automation, Linux administration, and containers.