Level Up Through Digital Discoveries 12

Grades:��9 - 12

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

Need help with ordering? / Request a Sample

Program Details

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

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

This program leads ʯ��Ƶ��ɫ�� 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, ʯ��Ƶ��ɫ�� 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 ʯ��Ƶ��ɫ�� Learners will explore Python programming at an advanced depth, cybersecurity principles, software development methodologies, AI algorithms, and network security fundamentals.

Active learning ʯ��Ƶ��ɫ�� 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 ʯ��Ƶ��ɫ�� Engaging real-life scenarios and hands-on activities are featured to motivate and build career readiness.

Commitment to pedagogy ʯ��Ƶ��ɫ�� The book follows a spiral curriculum ensuring that ʯ��Ƶ��ɫ�� 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 9ʯ��Ƶ��ɫ��12.

1: Understanding Networks and IoT

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

2: Fundamentals of Cybersecurity

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

3: Software Engineering

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

4: Sorting and Searching Algorithms

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

5: Navigating Graphs and Trees

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

6: Artificial Intelligence Algorithms

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

ʯ��Ƶ��ɫ��

Traditional Ordering

Shop Online

For Your Classroom & School

Our Principles