Mastering CAN Network: Vector CANoe,CANalyzer, CAPL& Theory
CAN network theory and practice : Vector CANoe,CANalyzer, CAPL, CANdb++, CANCase for network simulation
3.83 (1277 reviews)

5 858
students
4 hours
content
Dec 2022
last update
$49.99
regular price
What you will learn
Analyze a real CAN network on a prototype vehicle and make diagnosis
Applying for automotive testing/ programming job positions which requires the complete knowledge of the CAN network
CAN network protocol 2.0A & 2.0B from scratch
Configure a real life project with VECTOR CANoe, VECTOR CANalyzer
CAPL programming
Configure en entire CAN network hardware
Understand how the CAN works on the real vehicle
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Comidoc Review
Our Verdict
Mastering CAN Network: Vector CANoe,CANalyzer, CAPL& Theory" attempts to equip learners with a practical understanding of the CAN network using Vector tools. However, the course's shortcomings in audio quality, an outdated version of featured software, and relatively superficial content hold it back from truly excelling. Those seeking a text-based introduction or updating their skills may find this course beneficial; however, expect to confront some shortcomings that compromise the overall learning experience.
What We Liked
- The course covers both the theory and practice of CAN network, a valuable combination for real-world applications.
- The instructor provides insights into configuring a project with Vector tools like CANoe, CAPL programming, and CANdb++.
- Some students found the content helpful as a beginner's guide to the subject matter.
- The course is regularly updated; latest update in December 2022.
Potential Drawbacks
- Majority of students experienced issues with text-to-speech audio quality and accuracy, expressing frustration over hard-to-understand voiceovers.
- Some found the content outdated as it uses an older version of CANoe software (version 7) while the latest version is 17.
- Content superficiality was criticized, with several learners advising to consult books or Vector documentation for deeper understanding.
- The course structure could be improved, as some feel the content is organized poorly and time wasted on troubleshooting issues.
3006678
udemy ID
15/04/2020
course created date
11/12/2020
course indexed date
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