Fall 2023 Graduate Teaching Assistantships

Responsibilities

• Instruct one weekly lab section of approximately 40 students
• Attend weekly meetings with other QTM 100 TAs and QTM 100 course instructor(s)
• Supervise an undergraduate teaching assistant (whose role is to take attendance, hand out/collect documents, facilitate group activities, answer student questions, etc.)
• Provide other course-related support such as grading, grade entry, development of assignments or exams/exam questions, and holding weekly office hours
• New QTM 100 TAs are expected to attend the QTM 100 lecture

Expected Hours

• 10-15 hours per week

Compensation

• $2625 per semester, paid in monthly installments (e.g., $656.25 per month)

Qualifications

• Knowledge of introductory statistics is required (e.g., basic probability, t-tests, chi-squared tests, ANOVA, linear regression)
• Must be willing to work as a team! QTM 100 serves 450+ students a semester. The course instructors, graduate TAs, undergraduate learning assistants and undergraduate TAs all work together to serve students and ensure uniform teaching practices across sections
• Must be a current graduate student at Emory University (no specific field preferred or required)
• Knowledge of R is preferred, but not required; if you are unfamiliar with R, training can be provided
• Teaching experience is preferred, but not required

# of Available Positions

• 8

Responsibilities

• Attend two 50-minute meetings of QTM 150 each week
• Hold one office hour per week to assist students 
• Provide prompt and timely grading support on lab assignments, problem sets, etc. based on directions provided by the course instructor

Expected Hours

• 10 hours per week, with the specifics to be negotiated between the grader and the course instructor

Compensation

• $2000 per semester

Qualifications

• Must be a current graduate student at Emory University (no specific field preferred or required)
• Must have experience with R or other statistical computing software

# of Available Positions

• 1

Responsibilities

• Attend two 50-minute class meetings of QTM 151 each week
• Hold one office hour per week to assist students 
• Provide prompt and timely grading support on lab assignments, problem sets, etc. based on directions provided by the course instructor

Expected Hours

• 10 hours per week, with the specifics to be negotiated between the grader and the course instructor

Compensation

• $2000 per semester, paid in monthly installments (e.g. $656.25 per month)

Qualifications

• Must be a current graduate student at Emory University (no specific field preferred or required)
• Must have experience with R or Python 

# of Available Positions

• Position Filled 

Responsibilities

• Instruct one weekly lab section of approximately 45 students
• Provide course-related support such as grading, grade entry, development of assignments or exams/exam questions, and holding weekly office hours

Expected Hours

• 10 hours per week; must be able to attend the Friday lab session time

Compensation

• $2000 per semester

Qualifications

• Must be a current graduate student at Emory University (no specific field preferred or required)
• Must have experience in probability and statistics
• Experience with R and/or Python is preferred

# of Available Positions

• 1

Responsibilities

• Instruct one weekly lab section of approximately 45 students
• Provide course-related support such as grading, grade entry, development of assignments or exams/exam questions, and holding weekly office hours

Expected Hours

• 10 hours per week; must be able to attend the Friday lab session time

Compensation

• $2000 per semester, paid in monthly installments (e.g., $656.25 per month)

Qualifications

• Must be a current graduate student at Emory University (no specific field preferred or required)
• Must have experience with general linear models, econometrics, or regression analysis
• Experience with R and/or Python is preferred

# of Available Positions

• 2

Responsibilities

• Grade all assignments.
• This will be exercises provided in the textbook or by the instructor. There will also be coding assignments.
• Instructor will provide an answer key

Expected Hours

• 10 hours per week

Compensation

• $2000 per semester, paid in monthly installments (e.g., $656.25 per month)

Qualifications

• Must be a current graduate student at Emory University (no specific field preferred or required)
• Must have experience with probability and statistics, including general linear models, econometrics, and/or regression analysis
• Experience with R and/or Python is required

# of Available Positions

• 1

Tentative Textbooks

•  Mathematical Statistics and Data Analysis, 3rd edition, John A. Rice, Duxbury Advanced Series
• Statistical Inference, 2^nd edition, George Casella and Roger L. Berger, Cengage

Responsibilities

• Grade assignments and exams.
• Provide feedback for the course project.
• Hold office hours on request.

Expected Hours

• 10 hours per week

Compensation

• $2000 per semester, paid in monthly installments (e.g., $656.25 per month)

Qualifications

• Must be a current graduate student at Emory University (no specific field preferred or required)
• Any graduate student who has taken machine learning and earned a score of A is welcome to apply. 

# of Available Positions

• 1

Responsibilities

• Grade assignments and exams.
• Provide feedback for the course project.
• Lead lab sessions to troubleshoot student code
• Hold office hours on request.

Expected Hours

• 6-10 hours per week

Compensation

• $2000 per semester, paid in monthly installments (e.g., $656.25 per month)

Qualifications

• Must be a current graduate student at Emory University (no specific field preferred or required)
• Ability to instruct courses that apply linear and non-parametric regression techniques, incl. in R
• Experience in data visualization/communication/storytelling
• Demonstrated enthusiasm in business applications of data science - this enthusiasm is important because this course gets students jobs, due to the care taken in the feedback we give them

# of Available Positions

• Position Filled