In the curriculum of computer and electronic engineering majors in universities, C language is set as the introductory programming course, while Verilog is taught as the hardware description language course. This seemingly reasonable teaching sequence is actually producing a batch of hardware engineers who are constrained by a “software thinking” mindset. The cognitive inertia brought about by this course arrangement is severely affecting the professional capability development of students.
1. The Trap of Fixed Thinking Patterns
When students first encounter C language, a typical sequential execution language, their brains unconsciously establish a “line-by-line execution” thinking pattern. This thinking pattern is effective in software programming but is contrary to the parallel nature of hardware design. Worse still, after a semester or even longer training in C language, this thinking pattern becomes deeply embedded in the students’ cognitive system.
When these students begin to learn Verilog, their brains automatically invoke the established programming thinking, mistakenly interpreting the hardware description language as another form of software programming language. This cognitive bias leads to their Verilog code often bearing obvious “software traces”: excessive reliance on sequential structures, an inability to truly understand the meaning of non-blocking assignments, and a vague grasp of the concepts of clock and timing.
2. Cognitive Confusion of Key Concepts
C language and Verilog have many essential differences in basic concepts, but these differences are often overlooked in the traditional teaching sequence. The distinctions between variables and registers, immediate execution and clock-driven execution, sequential execution and parallel execution—these core concepts of hardware design often become difficult to understand due to the students’ preconceived software thinking.
The most typical manifestation is that when students see the “=” symbol in Verilog, they unconsciously interpret it using the assignment concept from C language, failing to grasp the essence of signal transfer in hardware description language. Similarly, their understanding of the always block often remains at the level of “function” or “process,” rather than a description of hardware module behavior.
3. Adaptation Barriers to Debugging Methods
The debugging methods cultivated by C language are almost completely ineffective in hardware design. The printf debugging method is meaningless in Verilog, and the concept of single-step execution does not exist in parallel hardware. Students are accustomed to tracking program execution flow by printing variable values but feel unfamiliar and resistant to waveform analysis.
This misalignment in debugging methods often leaves students at a loss when encountering Verilog design issues. They do not know how to diagnose problems through timing waveforms, are unaccustomed to analyzing signal transfer paths from a hardware perspective, and find it even more challenging to understand hardware-specific phenomena such as race conditions and timing violations.
4. Empirical Dilemmas in Teaching Effectiveness
Teaching practice shows that the difficulties in cognitive transition brought about by this course arrangement are widespread. Most students experience a noticeable “adaptation period” when they first encounter Verilog, and some may never truly bridge this cognitive gap. Even if they eventually master Verilog syntax, many students still retain remnants of software thinking, which will continue to pose obstacles in their subsequent complex system designs.
What is even more concerning is that this misalignment in thinking patterns often only fully reveals itself during the actual project phase in the senior year. When students begin to design real digital systems, they will discover that the software paradigms deeply ingrained in their thinking habits have become stumbling blocks to their growth.
5. Educational Reflection and Solutions
To address this issue, educators need to re-examine several key points: Should the course sequence be adjusted? Should special emphasis be placed on cognitive transition when teaching Verilog? How can we help students establish a genuine hardware thinking model?
Possible solutions include: setting up specialized “thinking transition training” at the beginning of the Verilog course, using comparative teaching methods to highlight the differences between software and hardware, strengthening training in waveform analysis and hardware debugging methods, and even considering placing the fundamentals of digital logic before C language in the course arrangement.
Conclusion
On the path to cultivating hardware engineers, we should perhaps realize earlier that what we teach first not only concerns the order of knowledge transfer but also the shaping of thinking patterns. Breaking the inertia of “software first, hardware later” may be the first hurdle that must be crossed to cultivate qualified hardware talent. After all, to design excellent hardware, what is needed first is hardware thinking, not writing hardware code with a software mindset.