ARC Quantitative Tutor Hours, Spring 2020

ARC Quantitative Tutor Hours, Spring 2020

Category : News/Events

Quantitative tutors work with students to understand epidemiological and statistical concepts and methods introduced in their coursework, apply these concepts to their research projects, and provide support for students conducting quantitative analyses.  The tutors’ goal is for the student to understand concepts and methods so the student can apply this knowledge to the student’s own work.  Tutors are familiar with SAS and R Programming Languages.

ARC Quantitative Tutor drop-in hours for Spring 2020 are as follows: 

Wednesdays: 9-12 and 1-3 with Zerleen in P51 (beginning next week)

Thursdays: 10-12 and 1-4 with Lasha in P51 (beginning 1/30)

For more information about Academic Resource Center (ARC) services, click here.

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Upcoming Events

  • Africa Health Innovation - AHIA Affinity Group March 28, 2023 at 12:00 pm – 1:00 pm Virtual.… Event Type: Networking,Meeting,Special Event,Student EventSpeaker: Dr. Dirk SchroederContact Name: Dirk SchroederContact Email: dschr02@emory.eduLink: - Advancing Health Innovation in Africa - is an Emory-based organization that, for over 10 years, has been supporting African bio-innovators and entrepreneurs. AHIA conducts educational programming in Africa and provides opportunities for Emory students and faculty.
  • SEX-cessible March 29, 2023 at 7:00 pm – 9:00 pm RRR R226 Event Type: Guest Lecture,Workshop,Special Event,Student EventSex-ccessible! This educational event focuses on the overlap between sexuality and disability: debunking myths, sexual esteem,  accessible sex toys, and more! Featuring dinner provided, giveaways, and a special guest speaker! Virtual and in person options available!
  • Department of Biostatistics and Bioinformatics Seminar March 30, 2023 at 12:00 pm – 1:00 pm RRR Bldg., L20 Event Type: Seminar SeriesSeries: Department of Biostatistics and Bioinformatics SeminarSpeaker: Xin Zhang, PhDContact Name: Porchia Coleman-ArnoldContact Email: Porchia.Arnold@emory.eduAbstract: Tensor modeling in categorical data analysis and association studies

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