Type |
Instructor-Led training conducted over sequential days during
normal business hours (not eLearning)
|
Delivery Formats
|
Offered in both "Classroom" and "Live, On-Line" formats
|
Price |
$525 per class-day |
The use of Training Credits requires validation by Student's
Advantest Sales contact
|
Class Duration
|
5 days |
Target Audience
|
The target audience for this course are Test Engineers who
will be using the V93000 for test program generation and
debug. This course can also be useful to those engineers who
work with Test Engineers such as Product, Quality Assurance,
Failure Analysis and Design engineers.
|
Prerequisites |
Test Engineering basics, Linux, and C++
|
Expected Outcomes
|
After completion of this course the student will be able to
create a new project and all of the setup files used to do
basic digital tests (i.e. Functional pattern and spec search
tests) and DC tests (i.e. continuity, leakage and supply
current tests). They will know how to change and modify setup
files in order to add new tests to their work flows. In
addition, the student will know how to use the V93000 debug
tools to solve common digital and DC fail modes. Lastly, the
student will know how to do basic Test Method coding using the
Smartest (RDI) software to write very basic digital and DC
tests.
|
Key Topics Covered In This Training
|
-
Overview of the V93000 Eclipse environment, the Smartest
software and V93000 hardware.
-
Classroom and hands on learning for creating pin
configurations, levels and timing setups and vector
management tools.
-
Learning the concept of test suites in test flows and
how they're used with software setup files and C++ Test
Methods.
-
Implementing and then running test suites in both normal
and debug modes.
-
Understanding the structure of C++ Test Methods using
Rapid Development Instruction (RDI) APIs and then
writing them to do standard digital and DC type tests.
-
Debugging Test Methods and test set-ups using various
V93000 debug tools.
-
Understanding how datalogging works on the V93000.
-
Hands on experience using characterization tools such as
the Shmoo and Pin Margin tools.
|