Hello humble reader. I see you're still here, and I'd like to affirm that yes, indeed, we are as well. 

Christmas and New Year's have come and gone and with them a slew of postponements and mis-communications on EDX. One of the engineers was deathly ill and unable to update any of the problem sets for a few weeks. As such, that deadline which drives me to complete the videos and assignments was absent and carried away with it my perseverance. Well, I'll chalk it all up to a nice holiday break.

Angela was kind enough to get me a new microphone stand for our studio at the house and I look forward to using it for some more podcasts in 2013.

The current schedule of events is as follows:

  • The last two weeks of videos since the fun statisitcal stuff has been pretty dry and heavy on both math and theory with very little actual coding. This has depressed and confused me. There was some optimization coding, but week 10 was dedicated to Curve Fitting, which I stopped watching after not understanding what was going on. I know, I'm a horrible person.
  • The final exam will be released Thursday, January 10th and will be due on Monday
  • The final two weeks worth of videos include on graphing, dynamic programming and statistical fallacies. This is followed by a wrap up summary.

I'm honestly not sure where I stand here at the end of the course. I was really fired up about programming for the first half, but it started going way over my head during the second half of the course.

In my undertakings for 2013, I resolve that for all the MOOC's that I take, I will stay on top of all the suggested readings in addition to just the required videos. I believe this was the weakest link for Python. I just didn't read the included online textbook at all and only used it on occasion for referential purposes. This was fine in the beginning, but as concepts started adding up upon themselves, I got sucked under by the programming undertow.

And speaking of undertakings, I've got several interesting courses that I'm itching to dive into.

  • CS50x--Harvard's Computer Science I course. I'm already enrolled in this and it will remain online and available until April 15th.  
  • Introduction to Databases--by Sanford Online--I'm pretty pumped about this and it will probably take number one priority upon the conclusion of Python just for a change of pace rather than diving back into Harvard's course. It's available as a self study course on Coursera and another full-fledged offering is going live from Standford next week.
  • Game Theory--by Stanford Online--this looks quite interesting, indeed. "...mathematical modeling of strategic interaction among rational (and irrational) agents..." This course began today.
  • Information Security and Risk Management in Context--by The University of Washington--Seeing as how my goal is to actually infiltrate the IT securities field, it will probably be prudent to take a course along those lines. I signed up for this one back in the fall, but underestimated what I had time to do. As you can tell by this list of courses, I'm doing the same thing again, but that's okay. I'm learning stuff and that's what counts.
  • Introduction to Computer Networks--by The University of Washington--I'm actually more interested in taking this course and learning some of the intricacies of computer networks than I am about the securities course above. I have heard reports that it would behoove me to learn about networks first as the infosec stuff builds upon network knowledge.

Now, if there were only enough time to learn it all! Where was this zeal to learn tech stuff when I was choosing majors in college?

More shall be revealed.

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