An applied Swiss-inspired curriculum combining algorithmic rigour, systems architecture, digital trust and practical engineering capability for modern technology leaders.
The Foundation in Mathematics for Computing at Brookfield School of Computing is engineered to provide deep competency across core computer science, systems design, and targeted domain applications. Students develop fluency in software craftsmanship, distributed architectures, algorithm optimization, and data governance.
Instruction balances rigorous theoretical foundations with practical code repositories, laboratory simulations, and ethical technology review aligned with modern international computing standards.
| Code | Module Title | Type | Discipline & Learning Outcome |
|---|---|---|---|
| FMA011 | Foundations of Mathematics for Computing & Algorithmic Problem Solving | Theory | Develop computational thinking, structured problem decomposition and algorithmic problem solving in Mathematics for Computing. |
| FMA012 | Structured Programming for Mathematics for Computing with Python | Practical | Write, debug and test clean Python scripts, functions, loops and data structures for Mathematics for Computing applications. |
| FMA013 | Mathematics & Quantitative Foundations for Mathematics for Computing | Theory | Solve linear equations, functions, coordinate geometry and basic probability for computing applications in Mathematics for Computing. |
| FMA014 | Computer Systems Architecture & Terminal Basics in Mathematics for Computing | Practical | Navigate Linux file systems, manage system processes and write command-line scripts in Bash for Mathematics for Computing. |
| FMA015 | Academic English & Technical Communication in Mathematics for Computing | Theory | Develop academic writing, technical reporting, presentation skills and literature research habits in Mathematics for Computing. |
| FMA016 | Interactive Web Foundations & Digital Interfaces for Mathematics for Computing | Practical | Create structured web pages using HTML5, CSS3 styling and JavaScript interactivity for Mathematics for Computing interfaces. |
| FMA017 | Data Representation & Information Structures in Mathematics for Computing | Theory | Analyze binary representation of numbers, character encodings (ASCII/UTF-8) and data modeling in Mathematics for Computing. |
| FMA018 | Relational Databases & SQL Essentials Lab for Mathematics for Computing | Practical | Create relational database tables, insert records and write structured SQL SELECT queries with joins for Mathematics for Computing. |
| FMA019 | Digital Ethics, Security Awareness & Independent Study in Mathematics for Computing | Theory | Analyze cyber hygiene principles, intellectual property rules and ethical online academic practices in Mathematics for Computing. |
| Code | Module Title | Type | Discipline & Learning Outcome |
|---|---|---|---|
| FMA021 | Object-Oriented Design & Problem Solving in Mathematics for Computing | Theory | Model software concepts using object-oriented principles, classes, objects, encapsulation and inheritance in Mathematics for Computing. |
| FMA022 | Practical Coding Workshop & Lab in Mathematics for Computing | Practical | Build multi-module programs in Python or Java incorporating modular design patterns and unit tests for Mathematics for Computing. |
| FMA023 | Discrete Mathematics, Logic & Set Theory Foundations for Mathematics for Computing | Theory | Apply truth tables, propositional logic statements, sets and basic graph representations to Mathematics for Computing. |
| FMA024 | Software Engineering Tools, Git & Version Control in Mathematics for Computing | Practical | Initialize Git repositories, create branches, resolve merge conflicts and collaborate via GitHub in Mathematics for Computing. |
| FMA025 | Computer Networks, Web Protocols & Internet Systems in Mathematics for Computing | Theory | Analyze IP addressing, DNS resolution, HTTP request-response cycles and network routers for Mathematics for Computing. |
| FMA026 | Data Analysis, Spreadsheets & Introductory Pandas Lab for Mathematics for Computing | Practical | Clean tabular data, compute summary statistics and generate charts using Excel and Python Pandas in Mathematics for Computing. |
| FMA027 | Operating Systems Fundamentals & System Administration in Mathematics for Computing | Theory | Explain CPU process scheduling, memory allocation, file systems and operating system security for Mathematics for Computing. |
| FMA028 | Practical Application Mini-Project in Mathematics for Computing | Practical | Develop a functional software application or analytical dashboard solving a realistic problem in Mathematics for Computing. |
| FMA029 | Foundation Capstone Project & Technical Portfolio in Mathematics for Computing | Practical | Present the completed portfolio of coding artifacts and oral defense of foundational computing concepts in Mathematics for Computing. |
Secondary school completion or relevant initial technical curiosity. English proficiency recommended.
Brookfield School of Computing is an independent private education institution in formation. Academic programmes, entry requirements, fees and awards are subject to institutional review and applicable Swiss legal regulations.