Level Up Through Digital Discoveries 12

Grades:��9 - 12

Level Up through Digital Discoveries empowers students from grades 1‒12 to develop critical thinking, innovation, and collaboration skills that prepare them for academic success and future tech-driven careers. In Grade 12, students will master advanced programming, AI development, cybersecurity, and data analysis. They’ll also build the technical and analytical skills they need to succeed in higher education and their future careers.

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Program Details

Leading Digital Innovators to the Skills for the Future����

The comprehensive Level Up through Digital Discoveries series guides students from their very first clicks in Grade 1 to mastering advanced computing and programming concepts by the end of Grade 12. Across each level, students build confidence in digital communication, coding, design, cybersecurity, AI, and real-world problem-solving. Structured lessons, creative projects, and hands-on activities empower students to build their computing skills.��

This program leads students into the most advanced areas of technology, including networking, cybersecurity, software engineering, AI, and data structures. Through hands-on coding projects, real-world tech challenges, and analytical tasks, students develop industry-ready programming, security, and problem-solving skills. By understanding cybersecurity principles, designing networks, and exploring IoT-connected devices, they are fully prepared for advanced studies and future roles in technology.

By building AI chatbots, designing secure networks, and creating IoT-connected devices, they are fully prepared for advanced studies and future roles in technology.

Skill building – Learners will explore Python programming at an advanced depth, cybersecurity principles, software development methodologies, AI algorithms, and network security fundamentals.

Active learning – Students will have extensive technical skills in programming, security, AI, and networking, preparing them for advanced studies and tech-driven careers.

Bringing the subject to life – Engaging real-life scenarios and hands-on activities are featured to motivate and build career readiness.

Commitment to pedagogy – The book follows a spiral curriculum ensuring that students are shown the material at relevant and appropriate grade levels, each time at a higher level of difficulty and in greater depth.

STEM coverage - STEM concepts are explored with evolving depth, with engaging IoT projects from Grades 9‒12.

1: Understanding Networks and IoT

Lesson 1: Wired and Wireless Networks – p. 7
Lesson 2: The Evolution of Mobile Networks – p. 21
Lesson 3: The Fundamentals of IoT – p. 31
Lesson 4: IoT Infrastructure – p. 45
Lesson 5: IoT Applications and Challenges – p. 55

2: Fundamentals of Cybersecurity

Lesson 1: Cybersecurity Attacks and Risks – p. 71
Lesson 2: Cybersecurity Controls – p. 82
Lesson 3: Hardware, Software, and Operating System Security – p. 91
Lesson 4: Network Web Security – p. 100
Lesson 5: Advanced Topics in Cybersecurity – p. 112

3: Software Engineering

Lesson 1: Principles of Software Engineering – p. 125
Lesson 2: Evolution of Development Methods – p. 135
Lesson 3: Programming Languages and Language Processors – p. 143
Lesson 4: Software Development Tools – p. 158
Lesson 5: Analysis – p. 172

4: Sorting and Searching Algorithms

Lesson 1: Basics of the Sorting Process – p. 187
Lesson 2: Swap-Based Algorithms – p. 198
Lesson 3: Shift-Based Algorithms – p. 211
Lesson 4: Non-Comparison Algorithms – p. 225
Lesson 5: Search Algorithms – p. 245

5: Navigating Graphs and Trees

Lesson 1: Complex Data Connections – p. 265
Lesson 2: Trees – p. 273
Lesson 3: Graphs – p. 284
Lesson 4: The BFS Algorithm – p. 293
Lesson 5: The DFS Algorithm – p. 302

6: Artificial Intelligence Algorithms

Lesson 1: Uninformed Search Algorithms – p. 317
Lesson 2: Informed Search Algorithms – p. 332
Lesson 3: Natural Language Processing – p. 347
Lesson 4: Natural Language Generation – p. 360
Lesson 5: Generating Text – p. 375

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