Archive of ‘technology literacy’ category

cloud terminology

Understanding Cloud Terminology: What Does IaaS, Paas, and SaaS Mean?

  • IaaS, Infrastructure-as-a-Service
  • PaaS, Platform-as-a-Service

Linux Server

Apache/nginx web server

MySQL database

WordPress

  • SaaS, Software-as-a-Service
  • UCaaS, Unified-Communications-as-a-Service
  • GaaS, Gaming-as-a-Service

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more on SAAS in this IMS blog
http://blog.stcloudstate.edu/ims?s=saas

more on cloud computing in this IMS blog
http://blog.stcloudstate.edu/ims?s=cloud+computing

 

library web page and heat map

Usability of the library web page

From: <lita-l-request@lists.ala.org> on behalf of Amy Kimura <amy.kimura@rutgers.edu>
Subject: [lita-l] Qualitative analytics tools

Hi everyone,

Is anyone out there using CrazyEgg, Hotjar, Mouseflow or the like as a source of analytic data?

If so, I’d love to hear about what you’re using, how you’re using it, what you’ve been able to get out of it. I’m convinced that it will be useful for informing content contributors about how their content is being (or more likely not being) consumed by users — but I’m particularly interested in other ways to utilize the tools and the data they provide.

Thanks so much! Amy

————
Amy Kimura
Web Services Librarian, Shared User Services
Rutgers University Libraries
amy.kimura@rutgers.edu
p: 848.932.5920

My response to Amy:

In my notes: http://blog.stcloudstate.edu/ims/2017/03/07/library-technology-conference-2017/

Here is the 2016 session and contact information to the three fellows, who did an excellent presentation not only how, but why exactly these tools:  http://sched.co/69f2

Here is the link to the 2017 session, which seems closest to your question. http://sched.co/953o Again, the two presenters most probably will be able to help you with your questions, if they have not seen already your posting on the LITA listserv and responded.

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CrazyEgg, Hotjar, Mouseflow




academic library collection data visualization

Finch, J. f., & Flenner, A. (2016). Using Data Visualization to Examine an Academic Library Collection. College & Research Libraries77(6), 765-778.

http://login.libproxy.stcloudstate.edu/login?qurl=http%3a%2f%2fsearch.ebscohost.com%2flogin.aspx%3fdirect%3dtrue%26db%3dllf%26AN%3d119891576%26site%3dehost-live%26scope%3dsite

p. 766
Visualizations of library data have been used to: • reveal relationships among subject areas for users. • illuminate circulation patterns. • suggest titles for weeding. • analyze citations and map scholarly communications

Each unit of data analyzed can be described as topical, asking “what.”6 • What is the number of courses offered in each major and minor? • What is expended in each subject area? • What is the size of the physical collection in each subject area? • What is student enrollment in each area? • What is the circulation in specific areas for one year?

libraries, if they are to survive, must rethink their collecting and service strategies in radical and possibly scary ways and to do so sooner rather than later. Anderson predicts that, in the next ten years, the “idea of collection” will be overhauled in favor of “dynamic access to a virtually unlimited flow of information products.”  My note: in essence, the fight between Mark Vargas and the Acquisition/Cataloguing people

The library collection of today is changing, affected by many factors, such as demanddriven acquisitions, access, streaming media, interdisciplinary coursework, ordering enthusiasm, new areas of study, political pressures, vendor changes, and the individual faculty member following a focused line of research.

subject librarians may see opportunities in looking more closely at the relatively unexplored “intersection of circulation, interlibrary loan, and holdings.”

Using Visualizations to Address Library Problems

the difference between graphical representations of environments and knowledge visualization, which generates graphical representations of meaningful relationships among retrieved files or objects.

Exhaustive lists of data visualization tools include: • the DIRT Directory (http://dirtdirectory.org/categories/visualization) • Kathy Schrock’s educating through infographics (www.schrockguide.net/ infographics-as-an-assessment.html) • Dataviz list of online tools (www.improving-visualisation.org/case-studies/id=5)

Visualization tools explored for this study include Plotly, Microsoft Excel, Python programming language, and D3.js, a javascript library for creating documents based on data. Tableau Public©

Eugene O’Loughlin, National College of Ireland, is very helpful in composing the charts and is found here: https://youtu.be/4FyImh2G7N0.

p. 771 By looking at the data (my note – by visualizing the data), more questions are revealed,  The visualizations provide greater comprehension than the two-dimensional “flatland” of the spreadsheets, in which valuable questions and insights are lost in the columns and rows of data.

By looking at data visualized in different combinations, library collection development teams can clearly compare important considerations in collection management: expenditures and purchases, circulation, student enrollment, and course hours. Library staff and administrators can make funding decisions or begin dialog based on data free from political pressure or from the influence of the squeakiest wheel in a department.

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more on data visualization for the academic library in this IMS blog
http://blog.stcloudstate.edu/ims?s=data+visualization

Software Carpentry Workshop

Minnesota State University Moorhead – Software Carpentry Workshop

https://www.eventbrite.com/e/minnesota-state-university-moorhead-software-carpentry-workshop-registration-38516119751

Reservation code: 680510823  Reservation for: Plamen Miltenoff

Hagen Hall – 600 11th St S – Room 207 – Moorhead

pad.software-carpentry.org/2017-10-27-Moorhead

http://www.datacarpentry.org/lessons/

https://software-carpentry.org/lessons/

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Friday

Jeff – certified Bash Python, John

http://bit.do/msum_swc

https://ntmoore.github.io/2017-10-27-Moorhead/

what is shall and what does it do. language close to computers, fast.

what is “bash” . cd, ls

shell job is a translator between the binory code, the middle name. several types of shells, with slight differences. one natively installed on MAC and Unix. born-again shell

bash commands: cd change director, ls – list; ls -F if it does not work: man ls (manual for LS); colon lower left corner tells you can scrool; q for escape; ls -ltr

arguments is colloquially used with different names. options, flags, parameters

cd ..  – move up one directory .      pwd : see the content      cd data_shell/   – go down one directory

cd ~  – brings me al the way up .        $HOME (universally defined variable

the default behavior of cd is to bring to home directory.

the core shall commands accept the same shell commands (letters)

$ du -h .     gives me the size of the files. ctrl C to stop

$ clear . – clear the entire screen, scroll up to go back to previous command

man history $ history $! pwd (to go to pwd . $ history | grep history (piping)

$ cat (and the file name) – standard output

$ cat ../

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how to edit and delete files

to create new folder: $ mkdir . – make directory

text editors – nano, vim (UNIX text editors) .      $ nano draft.txt .  ctrl O (save) ctr X (exit) .
$ vim . shift  esc (key)  and in command line – wq (write quit) or just “q”

$ mv draft.txt ../data . (move files)

to remove $ rm thesis/:     $ man rm

copy files       $cp    $ touch . (touches the file, creates if new)

remove $ rm .    anything PSEUDO is dangerous   Bash profile: cp -i

*- wild card, truncate       $ ls analyzed      (list of the analyized directory)

stackoverflow web site .

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head command .  $head basilisk.day (check only the first several lines of a large file

$ for filename in basilisk.dat unicorn.dat . (making a loop = multiline)

> do (expecting an action) do

> head -n 3 $filename . (3 is for the first three line of the file to be displayed and -n is for the number)

> done

for doing repetitive functions

also

$ for filename in *.dat ; do head -n 3$x; done

$ for filename in *.dat ; do echo $filename do head -n 3$x; done

$ echo $filename (print statement)

how to loop

$ for filename in *.dat ; do echo $filename ; echo head -n 3 $filename ; done

ctrl c or apple comd dot to get out of the loop

http://swcarpentry.github.io/shell-novice/02-filedir/

also

$ for filename in *.dat

> do

> $filename

> head -n  10 (first ten files ) $filename | tail  -n 20 (last twenty lines)

$ for filename  in *.dat

do
>> echo  $filename
>> done

$ for filename in *.dat
>> do
>> cp $filename orig_$filename
>>done\

history > something else

$ head something.else

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another function: word count

$ wc *.pdb  (protein databank)

$ head cubane.pdb

if i don;t know how to read the outpun $ man wc

the difference between “*” and “?”

$ wc -l *.pdb

$

wc -l *.pdb > lenghts.txs

cat lenghts.txt

$ for fil in *.txt
>>> do
>>> wc -l $fil

by putting a $ sign use that not the actual text.

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nano middle.sh . The entire point of shell is to automate

$ bash (exectubale) to run the program middle.sh

rwx – rwx – rwx . (owner – group -anybody)

bash middle.sh

$ file middle.sh

$path .

$ echo $PATH | tr “:” “\n”

/usr/local/bin

/usr/bin

/bin

/usr/sbin

/sbin

/Applications/VMware Fusion.app/Contents/Public

/usr/local/munki

$ export PATH=$PWD:$PATH

(this is to make sure that the last version of Python is running)

$ ls ~ . (hidden files)        

$ ls -a ~

$ touch .bach_profile .bashrc

$history | grep PATH

   19   echo $PATH

   44  echo #PATH | tr “:” “\n”

   45   echo $PATH | tr “:” “\n”

   46   export PATH=$PWD:$PATH

   47  echo #PATH | tr “:” “\n”

   48   echo #PATH | tr “:” “\n”

   55  history | grep PATH

 

wc -l “$@” | sort -n ($@  – encompasses eerything. will process every single file in the list of files

 

$ chmod (make it executable)

 

$ find . -type d . (find only directories, recursively, ) 

$ find . -type f (files, instead of directories)

$ find . -name ‘*.txt’ . (find files by name, don’t forget single quotes)

$ wc -l $(find . -name ‘*.txt’)  – when searching among direcories on different level

$ find . -name ‘*.txt’ | xargs wc -l    –  same as above ; two ways to do one and the same

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Saturday

Python

Link to the Python Plotting : https://swcarpentry.github.io/python-novice-gapminder

C and C++. scripting purposes in microbiology (instructor). libraries, packages alongside Python, which can extend its functionality. numpy and scipy (numeric and science python). Python for academic libraries?

going out of python $ quit () .      python expect beginning and end parenthesis

new terminal needed after installation. anaconda 5.0.1

python 3 is complete redesign, not only an update.

http://swcarpentry.github.io/python-novice-gapminder/setup/

jupyter crashes in safari. open in chrome. spg engine maybe

https://swcarpentry.github.io/python-novice-gapminder/01-run-quit/

to start python in the terminal $ python

>> variable = 3

>> variable +10

several data types.

stored in JSON format.

command vs edit code.  code cell is the gray box. a text cell is plain text

markdown syntax. format working with git and github .  search explanation in https://swcarpentry.github.io/python-novice-gapminder/01-run-quit/

hackMD https://hackmd.io/ (use your GIthub account)

PANDOC – translates different data formats. https://pandoc.org/

print is a function

in what cases i will run my data trough Python instead of SPSS?

python is a 0 based language. starts counting with 0 – Java, C, P

atom_name = ‘helium ‘
print(atom_name[0])                  string slicing and indexing is tricky

atom_name = ‘helium ‘
print(atom_name[0:6])
vs
atom_name = ‘helium ‘
print(atom_name[7])                python does not know how to slice it
synthax of python is        start : end : countby/step
string versus list .   string is in a single quote, list will have brakets
strings allow me to work not only w values, revers the string
atom_name = ‘helium lithium beryllium’
print(atom_name[::-1])
muillyreb muihtil muileh
Atom_name = ‘helium’
len (atom_name)                                     6 .             case sensitive
to clean the memory, restart the kernel
objects in Python have different types. adopt a class, value may have class inherent in its defintion
print (type(’42’)) .   Python tells me that it is a string
print (type(42)) .    tells e it is a string
LaTex
to combine integer and letter: print (str(1) + ‘A’)
converting a string to integer . : print (1 + int(’55’)) .    all the same type
translation table. numerical representation of a string
float
print (‘half is’, 1 / 2.0)
built in functions and help
print is a function, lenght is a function (len); type, string, int, max, round,
Python does not explain well why the code breaks
ASCI character set – build in Python conversation
libraries – package: https://swcarpentry.github.io/python-novice-gapminder/06-libraries/
function “import”
 Saturdady afternoon
reading .CSV in Python
http://swcarpentry.github.io/python-novice-gapminder/files/python-novice-gapminder-data.zip
**For windows users only: set up git https://swcarpentry.github.io/workshop-template/#git 
python is object oriented and i can define the objects
python creates its own types of objects (which we model) and those are called “DataFrame”
method applied it is an attribute to data that already exists. – difference from function
data.info() . is function – it does not take any arguments
whereas
data.columns . is a method
print (data.T) .  transpose.  not easy in Excel, but very easy in Python
print (data.describe()) .
/Users/plamen_local/anaconda3/lib/python3.6/site-packages/pandas/__init__.py
%matplotlib inline teling Jupyter notebook

import pandas

data = pandas.read_csv(‘/Users/plamen_local/Desktop/data/gapminder_gdp_oceania.csv’ , index_col=’country’)
data.loc[‘Australia’].plot()
plt.xticks(rotation=10)

GD plot 2 is the most well known library.

xelatex is a PDF engine.  reST restructured text like Markdown.  google what is the best PDF engine with Jupyter

four loops .  any computer language will have the concept of “for” loop. In Python: 1. whenever we create a “for” loop, that line must end with a single colon

2. indentation.  any “if” statement in the “for” loop, gets indented

teaching and learning spaces for VR and AR

Planning a Teaching and Learning Space for Virtual and Augmented Reality

Tuesday, November 14, 2017 1:00 – 2:00 p.m. EST

Planning a Teaching and Learning Space for Virtual and Augmented Reality

Dr. James P. Frazee is the Senior Academic Technology Officer and Director of Instructional Technology Services (ITS) at San Diego State University.

  • The “What”: Defining the Space
  • The “Why”: Making a Case
    • Incubator for research
    • Promotes experimentation
    • Leveraging partnerships with industry players
    • Opportunity to highlight technology
  • The “How”: Designing and Implementing
    • Designing the space

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more on VR in this IMS blog

http://blog.stcloudstate.edu/ims?s=virtual+reality

online learning attitudes

online learning attitudes

Students match their preference for hybrid learning with a belief that it is the most effective learning environment for them.

Despite the fact that faculty prefer teaching in a hybrid environment, they remain skeptical of online learning. Nearly half do not agree online 45% learning is effective.

https://library.educause.edu/~/media/files/library/2017/9/studentst2017infog.pdf

 

Students asked what technologies they wish their instructors used more, and we asked faculty what technologies they think could make them more effective instructors. Both agree that content and resource-focused technologies should be incorporated more and social media and tablets should be incorporated less.

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more on the use (or not) of ed technology in the classroom in this IMS blog
http://blog.stcloudstate.edu/ims/2017/04/03/use-of-laptops-in-the-classroom/

cybersecurity kaspersky

Kaspersky Lab Has Been Working With Russian Intelligence

 Emails show the security-software maker developed products for the FSB and accompanied agents on raids. July 11, 2017, 4:00 AM CDT 
https://www.bloomberg.com/news/articles/2017-07-11/kaspersky-lab-has-been-working-with-russian-intelligence

WHY THE US GOVERNMENT SHOULDN’T BAN KASPERSKY SECURITY SOFTWARE

  09.04.17

https://www.wired.com/story/why-the-us-government-shouldnt-ban-kaspersky-security-software/

he General Services Administration (GSA) has ordered the removal of Kaspersky software platforms from its catalogues of approved vendors. Meanwhile, the Senate is considering a draft bill of the 2018 National Defense Acquisition Authorization (known as the NDAA, it specifies the size of and uses for the fiscal year 2018 US Defense Department budget) that would bar the use of Kaspersky products in the military.

W.H. cybersecurity coordinator warns against using Kaspersky Lab software

https://www.cbsnews.com/news/kasperksy-lab-software-suspected-ties-russian-intelligence-rob-joyce/

Kaspersky: Russia responds to US ban on software

14 September 2017 http://www.bbc.com/news/world-us-canada-41262049

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KASPERSKY, RUSSIA, AND THE ANTIVIRUS PARADOX

 10.11.17

https://www.wired.com/story/kaspersky-russia-antivirus/

Israel and Russia’s overlapping hacks of Kaspersky complicate espionage narrative

Israel and Russia’s overlapping hacks of Kaspersky complicate espionage narrative

The whole ordeal is a nightmare for Kaspersky Lab. The company looks incompetent at preventing state-sponsored hacks in the best-case scenario and complicit with the Russian government in the worst-case scenario. However it plays out, the unfolding drama will certainly hurt the software maker’s footprint in the U.S., where Congress has already taken action to purge the government of the company’s software.

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more on cybersecurity in this IMS blog
http://blog.stcloudstate.edu/ims?s=cybersecurity

wifi cybersecurity

All wifi networks’ are vulnerable to hacking, security expert discovers

WPA2 protocol used by vast majority of wifi connections has been broken by Belgian researchers, highlighting potential for internet traffic to be exposed

Mathy Vanhoef, a security expert at Belgian university KU Leuven, discovered the weakness in the wireless security protocol WPA2, and published details of the flaw on Monday morning.

The United States Computer Emergency Readiness Team (Cert) issued a warning on Sunday in response to the vulnerability.

“The impact of exploiting these vulnerabilities includes decryption, packet replay, TCP connection hijacking, HTTP content injection and others,” the alert says, detailing a number of potential attacks. It adds that, since the vulnerability is in the protocol itself, rather than any specific device or software, “most or all correct implementations of the standard will be affected”.

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more on cybersecurity in this IMS blog
http://blog.stcloudstate.edu/ims?s=cybersecurity

VR Manga and Immersive Storytelling

VR Manga Is The Immersive Storytelling You Didn’t Know You Wanted

Project Hikari: Tales of the Wedding Rings lets you walk into a manga and become part of the story.

Japanese company Square Enix is looking to broaden the VR storytelling conversation by bringing 3 genres together into one incredible VR experience with Project Hikari: Tales of the Wedding Rings,

“We wanted to do something differently with this technology—we wanted to take VR into a different kind of direction,” Sou told VRScout in an interview. “We asked ourselves: how do we make content that is really unique, and something only our company can do?”

The team realized that manga could provide a creative new avenue of immersive story. Their approach was to create a style that blends animation and comic—giving you the ability to move in and out of panels. Sometimes you can see a range of still panels, others you’re engulfed in the animation of one scene.

I worried that the linear narrative of the manga might interfere with the immersion of VR, or that voiceover narration would keep me from discovering aspects of the story myself.

That worry was completely eliminated almost immediately the moment I put the headset on and the experience began. The Square Enix team was very creative with how they used narration along with the animation within the panels to bring the experience to life. I loved this VR take on the manga, and found Tales of the Wedding Rings to be an incredible experience that honored both mediums.

It’s a cross-section of a lot of different mediums because you have VR, manga (comics), and animation

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more on digital storytelling in this IMS blog
http://blog.stcloudstate.edu/ims?s=digital+storytelling

drones SCSU roundtable

The Department of Geography & Planning, School of Public Affairs and Northland Community and Technical College announce, Dronetech Roundtable on Wednesday, October 11 from 1-2:30 p.m. in the Atwood Alumni Room.

Learn about Unmanned Aircraft Systems UAS (Drones) and their future impact for tomorrow’s workforce from leading industry partners. See how you could use drones and geospatial technology in your career and enhance your competitive edge. Various drone platforms will be on display.

Presenters:

  • Greg Emerick, Co-Founder, EVP Sentera. Sentera is a leading designer, developer and manufacturer of software, sensors and UAVs (Drones).
  • Jonathan Beck, UAS Instructor/Program Manager, Northland Community and Technical College (NCTC)

**NCTC, in partnership with St. Cloud State’s Geography & Planning Department, earned a $600,000 grant from the National Science Foundation to advance education in geospatial information technology and unmanned aircraft systems.**

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more on drones in this IMS blog
http://blog.stcloudstate.edu/ims?s=drones

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