Lesson 1: Introduction to IST

1. Introduction and Treasure Hunt Scenario:
You are "information detectives" on a virtual treasure hunt to find valuable pieces of information.

2. Treasure Hunt Instructions:
Use the PSU Library to locate a scholarly article "discussing the impact of information overload on decision-making."

3. Individual Research:
Each participant will independently conduct research using the library databases to find the assigned information.

4. Collaborative Deliverable:
Work with your group to compile the findings into a shared online document in Microsoft One Drive
Each participant should contribute their discovered source [APA citation style] and a brief summary of the information they found.

5. Review and Reflection:
Review each other's findings and engage in discussions about the quality and relevance of the sources.
Your task is to document your discussion by making note of your own discoveries in context with others and providing condensed information about the contrast in bullet points

Virtual Information Treasure Hunt

Prompt:
For this discussion, you'll want to introduce yourself and tell others what discipline within IT which interests you the most.

Post:
I am Evan Mueller I plan to major in either Mechanical Engineering or Data Science. One of my biggest strengths is math but I don't mean doing a big number times a big number and knowing the answer but I mean pretty complex calc. I took up to calc 3 in High school and never had much of an issue with it and actually enjoyed it. One of my weaknesses is reading especially for long periods of time. I have a hard time staying focused on reading especially when it's something I'm not super interested in and having to read a lot of it. I often end up just skimming through everything which can become detrimental when I miss something important. The IT discipline that most appeals to me is Data Management as this aligns most with Data Science which is what I am most intrigued about IST. In todays world there is so much data about everything from the yards a player gets in football or how well someone drives. The amount of data is only going to increase. Knowing how to analyze the data is big as it allows business to decided what they need to do to make a bigger profit or who to fire when down sizing. A limitation is that some times the data can be an issue if it is not in good enough quality. Jobs are just data scientist which I find very intriguing as even as a kid I enjoyed knowing the percentage of something happing or how much something has happened which is all based on data.