Introduction to MIT681
This is the Capstone class for graduating MSIT
students. The class is designed to exercise your IT skills and
abilities and summarize all of your learning from IGU MSIT program
within one class.
In this class, we will challenge you to research an
important topic and demonstrate your skills and
This is an Online class, so there will be lots of
online video sessions in lessons. Some of these videos will be from
2018, so when they mention some date in 2018 just disregard that,
Here is the premise of this class:
You are the owner of a start-up company that will
perform Data Analytics and provide reports using that analyzed data
to customers who will pay you very well for your analytical skills.
You want to ramp-up this company by expanding very rapidly to take
on huge amounts of data to analyze and attract many more customers,
or at least a few high-paying customers, or perhaps the US
Government is a customer. You need to decide what hardware and
software to buy, what additional data to collect, where to
store this hardware and software, what networks to use, what
security to establish, etc etc. In short, you need to make every
decision related to IT, finance, and personnel that must be made,
and you need to persuade a VENTURE CAPITALIST to agree to fund
all of this.
Every week we will cover a different topic
in this class. One week it will be NETWORKS - another
week it will be SECURITY, then BIG DATA and HADOOP, then FINANCE,
etc etc. There won't be enough time each week to fully
cover each topic from start-to-finish and it is assumed that the
student has already covered some or all of the material in another
class. So we will be summarizing things in this class, and
where you need additional depth in something, you will
INDEPENDENTLY RESEARCH the material as needed. [You can always call
me if you get stuck]
The student will write a separate report almost every
other week - each one graded as it is turned in and returned back
to you will comments. These reports will eventually become chapters
within your final report, which will be due in the last weeks of
the class, and which will also be separately graded.
As each report is reviewed and graded it will be
returned to the student for corrections, but you will not turn it
back in a second time - at least not untilt he FInal report, when
you reassemble all the papers into one big paper - the equivalent
of a THESIS.. When the final combination report is turned in
it will contain all of the corrections from the prior
Your Challenge: Decide which topic
of Data Analytics you would like write
For instance, maybe you know a lot about SPORTS
and you want to write about analyzing data on athletes to make
predictions about sporting events. Or maybe you are
interested in CLIMATE CHANGE and want to analyze weather data
to make predictions about the ENVIRONMENT. There are
thousands of possibilities - you can choose your favorite topic,
however, no matter what topic you choose you must stick with the
idea that you are performing Data Analytics.
Furthermore, you must determine WHOM IS YOUR CUSTOMER. Who
might pay you for this analysis? Where will you get the DATA to be
Note that you are not using data analytics to simply
improve the inner workings of your firm, you are in the data
analytics business - this is what you deliver to your customers, ie
some analysis of data.
In your report you are NOT selling computers....you
are NOT creating websites...you are in the Data Analytics
THINGS DUE BY SUNDAY Jan 13 EOD
1. Report #1 is due SUNDAY JAN 13.
2. Your responses (2) to the Discussion
We will draw selected information from two textbooks
as shown in the syllabus, one is Fundamentals of Security and the
other is Data Networks, however, we will also draw in material from
many other areas and you are expected to research each topic as
needed. Neither of these books is mandatory.
Here are some other things to look at this first
1. Welcome to MIT681
2. 9-dot challenge
3. Samples of Data Analytics
4. Cloud Processing - Hosted vs
See the Syllabus for report due-dates.
question 1 :
general description of your business. On what topic
will you collect data and perform analytics? Whom is your
customer? Where will you get the data?
Remember, you are in some facet of the Data Analytics
business. You analyze data and you sell predictions of some
What ideas do you have? I will soon post a video
with a bunch of ideas.
Upload an MS-word document here. Do NOT download a
description of an existing firm - you are a start-up!
What is the "cloud"? What is it for? Is it a good thing for everyone? If not, why not? Do you find any evidence that's it's less expensive?