View allAll Photos Tagged online_classes
Commencing from 21st #June 2017.
For registrations dial on: 040-27671427,85002 18036 || visit: www.drpvlakshmaiah.com
Get regular updates by connecting us on: www.flickr.com/people/drlakshmaiahiasacademy/
Online classes allow students to learn from almost anywhere, using a computer.
For those who wish to use this image, please attach photo credit and a link to www.bluefield.edu, as detailed in the following terms:
Mixed Media painting made from a simple gelli print for Exercise 3 in Carla Sonheim's online class Gelli Print Plus
Musical Theatre is hard to do online but with her new Zoom University sweatshirt, online classes are a little more fun. We just received this from the Zoom University bookstore. Just in time for finals week. Love it!
www.zoomubookstore.com/?fbclid=IwAR3ykiEDkP_aV_aWMq3G-cDi...
This was fun to make and I like the way it turned out. I am very slowly taking A Cut Above from Online Card Classes self paced. I used the Spellbinders die Labels Seventeen (S5-025) to cut the shapes. For the background I used the HA stamp Lattice (331065) which I seem to use often for backgrounds. The poppies are HA Delicate Blossoms (CL449). I used Copics to color in the flowers and stems and then glued some beads on for the flower center. I tried putting a sentiment over the top of the flowers at the bottom but I couldn't cover them up.
The A Cut Above online class (www.onlinecardclasses.com/acutabove/class-info/) covered several Window Cards last week. This made me think of a card demonstrated by Jennifer McGuire on her Inspiration Showcase online class and here came this card!
I will also enter this card into the Window Card challenge hosted by A Blog Named Hero.
For details of the card, please visit my blog at tw.myblog.yahoo.com/stampfairy-helen/article?mid=10972&am....
I've been planning on shooting M16 in SHO for over a year now. I decided to wait until I could acquire a Sii filter, which wasn't until early April. I also wanted to total 20+ hours on this before moving home and graduating college, which I got fairly close to thanks to online classes and no sleep schedule. In order to maximize the amount of time I could get on it, I began shooting from once it hit 20 degrees altitude until the end of nautical dark (average of 2.5 hours per night). Also made a [cropped comparison to Hubble's Pillars of Creation image](i.imgur.com/pmmQS10.jpg) as well as a [starless version](i.imgur.com/7RsGH1w.jpg). Captured on the nights of March 31, and April 2, 5, 15, 20, 21, and 24 from my apartment roof in Athens, GA (Bortle 7 zone).
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**[Equipment:](i.imgur.com/BYyK1wu.jpg)**
> TPO 6" F/4 Imaging Newtonian
> Orion Sirius EQ-G
> ZWO ASI1600MM-Pro
> Skywatcher Quattro Coma Corrector
> ZWO EFW 8x1.25"/31mm
> Astronomik LRGB+CLS Filters- 31mm
> Astrodon 31mm Ha 5nm, Oiii 3nm, Sii 5nm
> Agena 50mm Deluxe Straight-Through Guide Scope
> ZWO ASI-120MC for guiding
> Moonlite Autofocuser
**Acquisition:** 18 hours 12 minutes (Camera at Unity Gain, -20°C)
> Sii- 61x360"
> Ha- 60x360"
> Oiii- 61x360"
> Darks- 30
> Flats- 30 per filter
**Capture Software:**
> Captured using [N.I.N.A.](nighttime-imaging.eu/), EQMod mount control, and PHD2 for guiding and dithering.
**[PixInsight Processing:](i.imgur.com/QyShtUy.png)**
> [Blink](youtu.be/sJeuWZNWImE?t=40)
> BatchPreProcessing
> StarAlignment
> ImageIntegration
> DrizzleIntrgration (2X, VarK 1.5)
> DynamicCrop
> AutomaticBackgroundExtraction (function degree: 1, division mode)
> Duplicated Ha to act as **Luminance**
**Luminance Processing:**
> Deconvolution
> PixelMath to add back in pre-decon stars
* Decon+star restoration method similar to the one outlined in [OkeWoke's tutorial](www.youtube.com/watch?v=6Maq-UkeqG8)
> TGV/MMT Noise reduction
* [Jon Rista noise reduction tutorial](jonrista.com/the-astrophotographers-guide/pixinsights/eff...)
> ArcsinhStretch
> HistogramTransformation
**Individual Sii, Ha, and Oiii channel Processing:**
> ChannelCombination (SHO mapped to RGB, respectively)
**SHO Processing:**
> Unlinked STF applied via HistogramTransformation
> LRGBCombination with nonlinear Lum (chrominance noise reduction enabled)
> Invert > SCNR > Invert (repeated twice)
* This removes a magenta cast common on Hubble palette images
> SCNR
* Removes some of the overwhelming green. Ha has the strongest signal and was initially mapped to the green channel.
> Several [Curve](i.imgur.com/pRWbYZD.jpg)Transformations for lightness, saturation and color adjustments (mostly red and green channels)
* Star mask
> HDRMultiscaleTransform
* Helps bring out the pillars in the brighter core region
> More curves for color tweaking nebula and stars
> Invert > SCNR > Invert with a star mask
* This was to reduce the magenta stars common in Hubble palette images. I opted to preserve some of the magenta stars in the core to better match the look of the 2014 HST image of the pillars
> HistogramTransformation to slightly boost red channel
> DarkStructureEnchance
> Invert > SCNR > Invert again to tweak overall magenta color
> ACDNR
* Nonlinear noise reduction
> LocalHistogramTransformation
* Boosts contrast, especially in the core region
> More curves with range mask
* tweaking core region colors
> MorphologicalTransformation to reduce star sizes
> More curves for more color tweaks
> ACDNR
* Final noise reduction tweaks
> One last curve transformation to tweak green channel
* I ended up doing a lot of my nonlinear processing with the green channel adjusted via STF, and didn't realize until the very end. Forgot to save the original STF process, so I tried to replicate it as best I could using curves
> Resample to 85%
> Annotation
My new online class is here! It's for artists and illustrators and I'll teach you how to differentiate yourself from the sea of other talents out there, how to build your presence effectively, how to self-promote fearlessly and how to make money from your art. Enrollment is until 8th September, and classes begin on 16th September! workartplay.com (illustration by Susanne Low)
@BookUrClass
offers live online classes for learning yoga and meditation taken by experienced experts.
To know more or book a trial class, contact us at
+91 9022295000
...for the "Draw With Me" online class with Alisa Burke.
I absolutely hated how the colors turned out in the first one. They were bright when put down but dried way too dull. Plus the paint was so thick it was hard to draw with the Gelly Roll.
I had to do another so I made it as easy as possible. I used black gesso and a different white pen. I think it worked much better with the black and white as far as contrast.
I videotaped Hadley lecturing for the online classes he teaches. I then made the display name a two-digit number for the chapter, a two-digit number for the order, and a literal name. Some of the chapters have 20 video lectures and it's essential that the student know which one to do first and so on. Some IT tech at our campus stripped my numbers off the names and I am now having to go back and decipher which one goes where. (I started with the last chapter. Makes no sense, I know!) School starts one week from tomorrow. This is not good.
Oh well, I get to sit in my big chair and enjoy the rain.
ODC: numbers
I signed up for the online class 'Collage basics with vintage paper". I'm going to try to combine stamps and papers.
OCC Background Check card. I used several techniques from different days of class here (inking with masking, Versamark resist, embossing with die-cuts).
More details and full supplies list are on my blog.
Thank you for stopping by!
I just started an excellent online class via Coursera titled Exploring Neural Data Exploring Neural Data that started 29 September 2014. Monica Linden and David Sheinberg of Brown University are teaching this class. Our first assignment was to detect spikes (action potentials) in a few seconds of recorded data from a neuron. The assignment was to modify some Python code to plot the data, and then detect and plot the spike activity, and plot all the detected spikes.
The data plot above shows the detected spikes "stacked up". The detection of each plot occurred at time 0, and the plot displays the time domain behavior of the spike from 3 milliseconds before the spike until 3 milliseconds after.
In this data, there were 79 actual spikes, and the detector I made found 68 of them correctly. These spikes all have a similar shape, so they stack one on top of the other with a bit of jitter. Some of that jitter may be due to the sampling time of 34.4 microseconds (which means there are 29 samples in one millisecond.)
Unfortunately, my detector also found about 11 false spikes in this data set. In a simpler data set, it ran correctly detecting 10 of 10 spikes and not detecting any false spikes. You can see some of these, they don't fit the pattern of the correct spikes.
It was very satisfying to work with this data, and to learn a bit more about neuroscience (and Python). We are using the Spyder environment, which is quite a nice development environment. This assignment took me a little longer than I thought it would (finished about 530 am Sunday morning).
A submission to our #UnfoldTheUniverse art social media campaign by a student of Creative Jous, an art school in Maldives. Creative Jous was founded by Shimanie (Manie) Shareef in the midst of the pandemic in 2020. It began as an online class for kids ranging from 2 year olds, all the way to adults, and now has its own studio space. Manie taught the class about Webb, discussed what they thought the telescope will discover, and the students all created art! All of student art is shared with parental and school permission.
If you create art inspired by what the James Webb Space Telescope might discover, share it with us! For more information, please visit: go.nasa.gov/unfoldtheuniverse
Image credit: Creative Jous
And one more card from Watercolor OCC.
This one I almost dislike. Spent three days on it (and this one is like the tenth try). The hardest part was the rose. And even though I decided to leave it alive and make into a card - still don't like the rose. Could be better. But I'll try more :)
More details and full supplies list are on my blog.
Thank you for stopping by!
This image is for the non-commercial use of UBC faculties and units only. For non-UBC use please contact comm.marketing@ubc.ca. Please credit photo to “Paul H. Joseph / UBC Brand & Marketing”
Grendel the greedy, foe of Beowulf...
A small portion of a much larger digital iPad painting I'm working on.
For anyone who loves the poem of Beowulf as much as myself, dont miss out on the chance of a life-time opportunity to take a class taught by Tom Shippey, world renown Medieval and Tolkien scholar, who now holds the same chair at Oxford that Tolkien himself held for years!
The online class he will be teaching is called: Beowulf Through Tolkien, And Vice Versa
www.mythgard.org/academics/spring-2015-courses/beowulf-th...
And is a credited course available for graduate students, or for any folks who'd like to audit the class, as I myself will be doing!
Here is a trailer about the course from Professor Shippey himself:
And a video made by my good friend John Di Bartolo about it:
So join me and other students along with Professor Tom Shippey, in diving deeper into the rich world of Beowulf, through the eyes of Professor Tolkien!
...for the "Draw With Me" online class with Alisa Burke.
Another double-duty card today. This size fits well in my current art journal. I used an ultra fine Sharpie & a Pitt brush pen. The photo in the center of the frame is of Belle, one of the sweetest dogs we've had over the years.
I help aspiring and established photographers get noticed so they can earn an income from photography or increase sales. My blog, Photographer’s Business Notebook is a wealth of information as is my Mark Paulda’s YouTube Channel. I also offer a variety of books, mentor services and online classes at Mark Paulda Photography Mentor
All images are available as Museum Quality Photographic Prints and Commercial Licensing. Feel free to contact me with any and all inquiries.
Follow My Once In A Lifetime Travel Experiences at Mark Paulda’s Travel Journal
Flyer design for an online class. See it here: mikevasilev.com/portfolio/private-equity-institute-e-flyer/
for Viv's online class
sound:
-crickets
-wind
-rain
-birds
-buzzing
-rain (oops lol)
-perfect
feel:
-warm
-windy
-humid
-lucky
-blessed
-calm
smell:
-grass
-nature
-rain
-spring
-burning leaves
-BBQ
I just started an excellent online class via Coursera titled Exploring Neural Data Exploring Neural Data that started 29 September 2014. Monica Linden and David Sheinberg of Brown University are teaching this class. Our first assignment was to detect spikes (action potentials) in a few seconds of recorded data from a neuron. The assignment was to modify some Python code to plot the data, and then detect and plot the spike activity, and plot all the detected spikes. This plot shows voltage versus time, there are about 88,000 samples in this data. To figure out the "spikes", a threshold is applied (in voltage and time) to separate the spike from the noise. The red lines were drawn for every spike detected.
It was very satisfying to work with this data, and to learn a bit more about neuroscience (and Python). We are using the Spyder environment, which is quite a nice development environment. This assignment took me a little longer than I thought it would (finished about 530 am Sunday morning).
Details and video available on my blog here: www.stampinginspiredby.blogspot.com/2013/12/stamping-stud...