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IT (IT CAREER, The integration of Science, Technology, Engineering, and…
IT
IT CAREER
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Because network administrators set up, manage, and secure computer networks that keep organizations connected and running smoothly.
They ensure reliable communication, protect data, and solve technical issues—making them essential for any business that relies on technology.
The integration of Science, Technology, Engineering, and Mathematics to develop problem-solving, innovation, and critical-thinking skills for real-world applications.
IT HOW IT CONNECT
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→ Example: Applying physics and electronics knowledge to design better hardware or network systems.
Technology: IT is all about using and managing technology — computers, networks, servers, and software — to process and share information.
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Engineering: IT professionals use engineering concepts when building networks, integrating systems, or troubleshooting complex setups.
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Mathematics: IT uses math for coding, data encryption, analytics, and performance optimization.
→ Example: Using mathematical logic to configure algorithms in cybersecurity or database indexing.
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➡️ STEM provides the foundation of knowledge — science, engineering, and math — that IT professionals use to design, manage, and troubleshoot technology systems.
TOOLS/SKILLS
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Networking – Setting up and managing LANs, WANs, VPNs, and wireless networks.
System Administration – Installing, configuring, and maintaining servers and operating systems.
Cybersecurity – Protecting systems, data, and networks from threats.
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Database Management – Storing, retrieving, and managing data efficiently.
Cloud Computing – Using cloud platforms for storage, hosting, and services.
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CS CAREER
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CS HOW IT CONNECT
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Computer Science (CS) is actually a core part of STEM, because it shares the same foundation of Science, Technology, Engineering, and Mathematics.
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Science: CS applies scientific methods — testing hypotheses, running experiments (e.g., in AI or data science), and analyzing results.
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Technology: Computer Science creates the software that powers modern technology — from smartphones to spacecraft.
→ Example: Writing programs for robotics, IoT devices, or cybersecurity systems.
Engineering: CS involves designing and building reliable systems, much like traditional engineering fields.
→ Example: Developing computer architectures, operating systems, or networks.
Mathematics: CS depends heavily on math — algorithms, logic, statistics, and data structures are all math-based.
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➡️ STEM provides the scientific, mathematical, and technical foundation that Computer Science uses to build real-world solutions.
➡️ CS, in turn, strengthens STEM by offering computational tools and methods that make scientific and engineering research faster and smarter.
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This career combines creativity and logic, offers high demand globally, and provides opportunities to work in any industry—from healthcare to gaming to finance.
MAIN FOCUS OF CS
CS
SKILLS/TOOLS
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Programming – Writing code in languages like Python, Java, C++, or JavaScript.
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Mathematics – Especially discrete math, logic, and linear algebra.
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Software Development – Building, testing, and maintaining applications.
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They ensure reliable communication, protect data, and solve technical issues—making them essential for any business that relies on technology.
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The integration of Science, Technology, Engineering, and Mathematics to develop problem-solving, innovation, and critical-thinking skills for real-world applications.
STEM
STEM CAREER
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Because data scientists use science, technology, engineering, and mathematics to analyze data, discover patterns, and solve real-world problems.
This career combines all areas of STEM to drive innovation and informed decision-making in fields like healthcare, business, and environmental science.
STEM SKILLS/TOOLS
- Problem-Solving & Data Analysis
Skill: The ability to approach complex problems methodically, breaking them down into smaller, solvable parts.
Tool: Python (libraries like pandas and NumPy) for data manipulation, statistical analysis, and building algorithms. R is another tool widely used for statistical analysis and data visualization.
- Mathematical Modeling & Simulation
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Tool: MATLAB and Wolfram Mathematica are used for modeling and solving complex equations in various STEM fields. Simulink (within MATLAB) is used for simulation and model-based design, while COMSOL is used for multi-physics simulations (e.g., structural, fluid dynamics).
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Skill: The ability to conceptualize solutions and create detailed designs for products, systems, or processes.
Tool: AutoCAD, SolidWorks, or Fusion 360 for computer-aided design (CAD) of mechanical parts and systems. 3D printing technologies can be integrated here for rapid prototyping.
- Software Development & Automation
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Tool: Git for version control, Visual Studio Code or PyCharm as IDEs for writing code, and Docker for containerization. You may also use Jenkins or Travis CI for continuous integration and automation.
- Machine Learning & Artificial Intelligence
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Tool: TensorFlow, Keras, PyTorch for machine learning model development. These tools are often used with Python for data preprocessing, model building, and deployment. Jupyter Notebooks is commonly used for experimenting with code and visualizing results.
- Data Visualization & Interpretation
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Tool: Tableau and Power BI for creating interactive dashboards and visualizing data insights. Matplotlib and Seaborn (Python libraries) are used for creating plots and graphs, while D3.js is a powerful tool for interactive web-based visualizations.
STEM HOW IT CONNECT
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STEM (Science, Technology, Engineering, and Mathematics) provides the foundation that Computer Science is built on.
Computer Science is actually a part of STEM — it applies STEM knowledge to develop new technologies, solve problems, and innovate.
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Technology: CS creates technology — software, hardware systems, and digital tools — using STEM concepts.
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Engineering: CS applies engineering design principles to build systems and software that are reliable, scalable, and efficient.
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Mathematics: Math is the language of CS — algorithms, logic, data analysis, cryptography, and machine learning all rely heavily on mathematical thinking.
→ Example: Using calculus, linear algebra, or probability in data science and AI.
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➡️ STEM provides the theories, methods, and reasoning.
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Information Technology (IT) is also part of the STEM ecosystem — it focuses on the application and management of technology that STEM and CS help to create.
STEM gives IT professionals the scientific, technical, and problem-solving foundation needed to design, maintain, and troubleshoot technology systems.
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Science: IT uses physics, electronics, and computer science principles to understand how systems and networks function.
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Technology: IT is directly involved in using and managing technology — from hardware to software and cloud systems.
→ Example: Setting up servers, managing networks, or maintaining databases.
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→ Example: Network engineering, cybersecurity systems, and system integration.
Mathematics: IT uses mathematical logic in programming, data management, and encryption.
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➡️ STEM gives IT the knowledge and analytical framework to manage and operate complex technologies effectively.
đź”— How All Three Connect: STEM, Computer Science, and IT
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STEM Foundation of science, engineering, math, and technology. Provides theories and principles used in CS and IT.
Computer Science (CS) Creates new technologies through coding, algorithms, and systems design. Applies STEM knowledge to innovate and build digital solutions.
Information Technology (IT) Applies and manages technology in real-world settings. Uses STEM foundations and CS tools to support and maintain systems.
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The use and management of computer systems and networks to store, process, transmit, and secure information efficientl
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