Kindergarten – Grade 2
Unplugged sequencing, giving precise instructions, parts of a computer, and safe, supervised device use.
FutureTech & Computing
Computer Science
Grade bands served: Kindergarten through Grade 12
Computer Science teaches the principles beneath the tools: how machines represent information, how algorithms solve problems, and how hardware, software and networks fit together. It begins unplugged in Kindergarten with sequencing and instructions, becomes hands-on with block programming in the elementary grades, and develops into algorithms, data structures, systems and computing ethics in high school. It is taught as a science with reasoning and proof of correctness, not only as tool training.
Why this subject matters
Computing underpins every growing industry. Learners who understand systems can adapt when specific tools change, and can build solutions Liberia needs rather than only consume imported ones.
Overall learning goals
- • Understand algorithms, data representation and abstraction.
- • Read, trace and reason about programs.
- • Understand computer hardware, networks and the internet.
- • Evaluate the social and ethical impact of computing.
- • Solve problems by decomposing them systematically.
Core competencies & skills
- • Algorithmic thinking
- • Abstraction and decomposition
- • Data representation
- • Systems and networks knowledge
- • Computing ethics
Scope by grade band
Grades 3–5
Algorithms and loops, block programming, files and folders, how the internet delivers information, and hardware basics.
Grades 6–8
Binary and data representation, program structure, functions, debugging, networks, and the social impact of computing.
Grades 9–12
Algorithms and complexity intuition, data structures, object-oriented concepts, databases, operating systems and computing ethics.
Typical learning activities
- • Unplugged algorithm games
- • Code tracing and debugging exercises
- • Hardware teardown and identification
- • Pair programming
- • Ethics case discussions
Project examples
- • Design an algorithm for a real school process
- • Build and document a small program
- • Map and explain how a website request travels
- • Systems case study of a Liberian digital service
Assessment methods
- • Written examinations on concepts
- • Code reading and tracing tasks
- • Programming assignments
- • Project documentation
Real-world & career connections
- • Software engineering
- • IT systems administration
- • Data engineering
- • Technical support and networks
FutureTech & AI integration
Computer Science is the theoretical core of the FutureTech pathway; it grounds AI literacy in real understanding of data, models and computation.
Expected learner outcomes
- • Graduates explain how a computer executes a program.
- • Graduates design and justify an algorithm for a stated problem.
Where it appears by grade
Related subjects
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