PU LI

In the past thirty years, the internet has changed the world;
In the next thirty years, artificial intelligence and chips (semiconductors) will define the global competitive landscape.
Regardless of whether children enter the chip industry in the future,
mathematics, physics, programming, systems thinking, and long-term focus
are core competencies required by all high-end industries in this era.
Today, we will look at the full path of cultivating children from elementary school to university from the perspective of educational planning.
Core Competency Model:
Mathematical ability (algebra, calculus, discrete mathematics)
Fundamentals of physics (electromagnetism, optics, semiconductor physics)
Programming and systems thinking (Python → C/C++ → Embedded)
Hands-on ability (electronics production, robotics, Arduino)
Long-term deep learning ability (disciplines requiring sustained effort)
English reading ability (most future materials will be in English)
Research potential (curiosity, modeling ability, experimental ability)
Elementary School Stage
Habit and Interest Establishment Period (Grades 1–6)
Stage Goals:
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Establish “engineering thinking” and “curiosity”
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Solidify mathematical logic and reading ability
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Cultivate hands-on ability → the foundation for future electronic engineering
📘 Core Learning Focus
1. Mathematical Foundation
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Strengthen operations + number sense
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Participate in mathematical thinking training (not competitions, focusing more on logic)
2. Interest in Natural Sciences
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Popular science experiments (electromagnetism, light, dynamics)
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Recommended textbooks: “DK Science Experiments”, “Children’s STEM Encyclopedia”
3. Programming Enlightenment
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Scratch → Python (can start in sixth grade)
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Cultivate “logic + creativity”
4. Engineering Hands-on Projects (Key Focus)
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Simple circuit projects
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LEGO robotics
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Small science project presentations (Science Fair)
🧠 Mental Model Cultivation
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Curiosity
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Long-term persistence
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Ability to “decompose complex problems”

Middle School StageMathematics + Physics Strengthening Period (Grades 7–9)
Stage Goals:
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Establish the mathematical & physics foundation required for chips during this stage
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Establish “engineering systems thinking”
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Enter the “real STEM capability growth period”
📘 Core Course Focus
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1. Mathematics (Most Important)
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Middle school mathematics must be solid: functions, geometry, equations
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Can be exposed to: transition mathematics from middle to high school, basic logic of Olympiad mathematics
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2. Physics (Second Key)
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Concepts of mechanics, electricity, and magnetic fields must be mastered solidly
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Conduct many scientific experiments (to exercise modeling thinking)
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3. Programming and Computational Thinking
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Proficient in Python
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Begin learning C / C++ basics (needed for future chips)
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4. Introduction to Electronic Engineering
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Arduino / Raspberry Pi
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Basic circuit knowledge (resistors, capacitors, measurements)
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DIY projects (automatic lighting, small cars, sensors, etc.)
🏆 Recommended Competitions to Participate In
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Informatics (NOIP CSP-J/S)
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Science and Technology Innovation (Tomorrow’s Little Scientist / Science and Technology Innovation Competition)
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Robotics Competitions (VEX / FLL)
📈 Stage Output Achievements
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1-2 technology projects
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One basic programming work (game/tool)
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A collection of Arduino electronic projects

High School StageProfessional Direction Determination Period (Grades 10–12)
Stage Goals:
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Truly form the “capability foundation for future chip engineers”
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Basic determination of university major: Microelectronics/Electronic Engineering/Computer Science
📘 Course Focus
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Mathematics (Must be Proficient)
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Advanced mathematics preparation (A-Level/IB/competition mathematics is better)
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Learn calculus and linear algebra in advance
Physics (Determines Upper Limit)
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Focus on electromagnetism
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Understand concepts of waves, optics, and semiconductor basics
Strengthening Programming + Algorithm Skills
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Solid in C/C++
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Enter data structures and algorithms
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Learn Verilog HDL (hardware description language) appropriately
Systematic Engineering Experiments
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FPGA kits (Xilinx)
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Circuit design tools: Multisim / LTspice
🏆 Competition Directions
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National Informatics Competition (NOI / CSP)
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National Mathematics Competition (AMC / AIME / other regional competitions)
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National High School Physics Competition (NOPHO)
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Intel / National Youth Science and Technology Innovation Competition (Science and Technology Projects)
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AP/IB/A-Level Engineering Courses
📈 Stage Achievement Requirements
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One FPGA / Embedded project
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1–2 research-style works (can be published in forums/youth papers)
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Clear direction for university applications

University Stage
Specialization and Research Path (4 Years)
🎯 Final Goal
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Possess a complete capability chain to enter the chip industry:Mathematics → Physics → Circuits → Architecture → Design → Engineering Practice
📘 Recommended Order of University Majors (from highest to lowest relevance to chips)
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Microelectronics Science and Engineering (Most Relevant)
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Electronic Information Engineering (EIE)
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Integrated Circuit Design and Integrated Systems
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Electrical Engineering (EE)
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Computer Science (CS) (focused on architecture, AI chips)

Why Discuss Educational Planning for Entering the Chip Industry
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Large Talent Gap: The semiconductor industry is technology-intensive and has high barriers to entry. Reports indicate that many entry-level technical/engineering positions are unfilled.
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High Strategic Value of the Industry: Semiconductors are a national strategic industry. Planning for students to enter this field is not only a personal career plan but also part of enhancing national/regional competitiveness.
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Trend of Interdisciplinary Integration: Future chips will not only be pure hardware but will also be closely related to AI, high-performance computing, new packaging, and new materials. Educational planning must consider cross-disciplinary capabilities.
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High Growth Returns: Technical positions offer high salaries (design, verification, process engineering, etc.) and significant career development opportunities. According to industry research, semiconductor talent is seen as “potential stocks.”
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