Crash Course Downloads

[Vangele Ioannidis]

HelloI have an interview coming up and I seem to have forgotten important concepts of Elixir. So I was wondering if you guys know of any crash courses on Elixir and Pheonix and maybe build a simple app at the end?

I believe you mean this one Elixir for Programmers, Second Edition. I will purchase this one after I go through a refresher course again.

Sorry, my question is pertaining to a more beginner-friendly course, before I jump into this one by PragDave

Silly question,

I have not yet recruited elixir devs, but might in the future, why do you want them to implement flatten rather than fold/reduce since it should be more generic?

Do you give them extra points if they implement fold accidentally?

My opinion is that these exercises are only useful for hiring fresh graduates, as there is no way to ascertain their skills otherwise, as for people with experience, just ask them about some tricky things like concurrency in their language, and if they know what they are talking about then you are good to go.

Northwestern University Center for Public Safety offers the most respected series of crash investigation and reconstruction courses available for aspiring and experienced professionals. Our five-course sequence begins with an immersive introduction of essential investigative procedures, advances through crucial math and physics concepts and formulas, and concludes with unmatched reconstruction concepts and hands-on techniques. Each course is a prerequisite for the next in the series and is offered in on-ground and online formats. This sequence also is a prerequisite for many of our advanced reconstruction courses.

The moments immediately following a traffic collision are crucial, and only a well-trained crash investigator knows how to identify and collect the necessary information at the crash scene and to how begin the interpretation of that evidence. Crash investigators must work quickly to properly preserve significant physical results before the crash scene is altered or evidence disappears.

Online Learning Type: Asynchronous; Instructor-led with assignment due dates and required contributions to weekly course discussions. Instructors are available for discussion during the course with students. Click to learn more about NUCPS Online Learning.

Crash Investigation 2 Accelerated Online is asynchronous and instructor led, covering the same curriculum as Crash Investigation 2 Online but in a condensed timeframe. The course builds upon topics examined in Crash Investigation 1 (Online or On Ground) and provides the student/investigator with greater knowledge of the information available at the crash scene and how to properly collect and initiate interpretation of that information. The curriculum emphasizes vehicle behavior in crashes, vehicle damage analysis, advanced measuring and mapping, properly downloading and preserving digital evidence from collision investigations, examining road marks and tire damage, and more.

Accelerated Pace: Complete with assignment due dates and required contributions to course discussions, this course is a 4-week asynchronous, instructor-led course, as opposed to the standard 8 weeks for our online Crash 2. There is a 2-week break for Northwestern University's Winter Recess, during which students are welcome to continue homework and study. Please click below to review this special class schedule. Instructors will be available for guidance, although not during Winter Recess.

The standard 8-week Crash Investigation 2 Online offers the same course curriculum as its on-ground and accelerated counterparts, building upon the foundational topics examined in Crash 1.

Online Learning Type: Asynchronous; instructor led; with assignment due dates and required contributions to weekly course discussions. Instructors are available for guidance. Click to learn more about NUCPS Online Learning.

This optional sequence course is designed specifically for students who need to learn or review the basic and intermediate mathematics and physics needed for success in Vehicle Dynamics and Traffic Crash Reconstruction 1 & 2.

Online Learning Type: Asynchronous; Instructor-led. Instructors are available for discussion during the course with students, though no live presentations are incorporated in this course. Click to learn more about NUCPS Online Learning.

Note: Familiarity with high school-level physics algebra, geometry, and trigonometry is needed. We highly recommend Math & Physics Review for Crash Reconstruction for students who have not learned or reviewed these skills in the last 15 years.

This course introduces students to mathematical formulas and the basic physics used in traffic collision investigation and reconstruction. Instructors present the proper application of physics principles to equations of motion in order to solve for velocity, time, acceleration, and distances of travel. Once these concepts are understood, instruction continues to vehicle braking, drag factors, and coefficients of friction and time-distance analysis.

Online Learning Type: Synchronous. Remote, online course attendance is required per the posted course schedule (see registration information for times). Click to learn more about NUCPS Online Learning.

Prerequisites: Crash Investigation 1 & 2, Vehicle Dynamics Download Curriculum Details

Note: Familiarity with high school-level physics algebra, geometry, and trigonometry is needed. We highly recommend Math & Physics Review for Crash Reconstruction for students who have not learned or reviewed these skills in the last 15 years.

Online Learning Type: Synchronous. Remote, online course attendance is required per the posted course schedule (see registration page for detailed information). Click to learn more about NUCPS Online Learning.

Prerequisites: Crash Investigation 1 & 2, Vehicle Dynamics, Traffic Crash Reconstruction 1 Download Curriculum Details

Note: Familiarity with high school-level physics algebra, geometry, and trigonometry is needed. We highly recommend Math & Physics Review for Crash Reconstruction for students who have not learned or reviewed these skills in the last 15 years.

The final course in our foundational series is a continuation of the skills and knowledge learned in Reconstruction 1 and is also based on the Traffic Crash Reconstruction textbook. Through a format that ties lecture material to hands-on analysis, instructors cover conservation of energy and special velocity calculations for situations involving vehicle falls, flips, and rollovers. Students also learn basic skills for analyzing Event Data Recorder information and applying such data to traditional reconstructions. Our expert instructors provide an introduction to the Monte Carlo Statistical Analysis, and students learn to solve momentum-based collision sequences using spreadsheet analysis. Upon successful completion of this course, students will possess the core skills of traffic collision reconstruction and the ability to reconstruct crash situations using energy and statistical analysis of momentum-based crash reconstructions. This course is a prerequisite for other advanced reconstruction offerings.

Online Learning Type: Synchronous. Remote, online course attendance is required per the course schedule for the selected course. Click to learn more about NUCPS Online Learning.

Register for an upcoming Interactive Virtual Trainer, Microlearning or Virtual Train-the-Trainer Boot Camp to get expert guidance and easy-to-implement tips to adapt your classroom content for remote work and learning.

Microlearning delivers pre-recorded learning material straight to a user's mobile device. These smaller learning segments allow for increased accessibility, retention, and engagement from students and employees.

Discover how you can improve student learning and your instruction when you creatively utilize assessments. Join this crash course to engage in several types of assessments and begin creating your own!

The pros make presenting look easy, but the reality is it involves hours of preparation and practice. Discover 25 tips for designing and delivering powerful virtual presentations. Borrow ideas from the best so you can confidently present to handful or hundreds every time.

After watching this crash course about Object Detection software you will be able to create object detection software that can be easily used by anyone. Thanks to a simple graphic interface and the possibility of connecting external video resources, it will be possible to make the most of the potential of computer vision even by those who are not expert programmers.

Identifying an object in Computer vision consists in surrounding the Object detected with a bounding box.

There are different object detection methods commonly used in computer vision implemented: detecting objects by their color, by their movement, or with deep learning.

To build object detection software you need object recognition with Deep Learning. For this project, I used Tiny-Yolo with the aim of creating a light and fast software and COCO Dataset to recognize objects from a dataset of 80 things. You can see all the details on the official YOLO documentation with Darknet.

We will not see the details on object custom detection because it is not the goal of this Crash Course. If you are interested in this topic or want to carry out your own project with Deep Learning I recommend Object Detection (Opencv & Deep learning).

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