Wednesday, January 11, 2012

Introduction

For my first post, I thought I would take a little time to introduce myself.  I'm Natalie!  I grew up in White Lake, MI, in a household that stressed love of the University of Michigan from birth (My father has two degrees from this great institution).  After graduating from Lakeland High School in 2007, I came to Michigan as an undergrad, where I majored in Anthropology (Focus: Sociocultural and Archaeological) and minored in Museum Studies.  As an undergrad, I worked for the Ann Arbor Hands-On Museum as an Educator, took a Field Course in Archaeology at the University of Michigan Biological Station, in Pellston MI, and interned for a summer for Mackinac State Historic Parks (Also known as Fort Mackinac).

After much debate my senior year, I decided that I loved Michigan too much to leave, and consider myself very lucky that the School of Information was here and that I am able to attend!  My specializations are LIS and ARM, and my academic and career interests are varied: I am very interested in the collections side of both of these fields, as well as the Public Programming and Outreach aspects of them as well.  Ideally, I would like to work in a library, archive, or museum.

I have very little experience with programming: I took a Visual Basic class when I was 10, and promptly forgot everything I learned.  Last semester, I took SI 502, and feel fairly competent in Python and am confident that I will be able to figure out assignments in Python.  I'm taking SI 601 not only because it fulfills a research requirement, but because I felt further exposure to Python could only help my future career goals, and because I think the skills I will gain from this class are those that every MSI-holder should have.  I look forward to a challenging and productive semester!

1 comment:

  1. Thank you Natalie for the post.
    The first class was a bit bumpy, but that’s only because I needed to get everyone on the same page really quickly. The rest of the class though will touch on things like: RSS feeds, XML, JSON, and a plethora of other data sources/techniques.
    Have a good day,
    Patrick Dudas

    ReplyDelete