Illinois Coding & Computer Science — Grade 10

Comprehensive Course Syllabus

Course Overview

Our Illinois Grade 10 Coding course is a full high school computer science programme covering Python, web development, databases, version control, cybersecurity, and artificial intelligence, guided by the Illinois Learning Standards for Computer Science.

The foundations strand covers computer science concepts, computational thinking, algorithms with pseudocode and flowcharts, and the difference between compilers and interpreters.

The Python strand is substantial: syntax and variables, data types and conversion, operators and precedence, conditionals, for and while loops, string processing, lists, tuples sets and dictionaries, functions with parameters and return values, error handling with try/except, file handling including CSV, and an introduction to object-oriented programming with classes and constructors.

The algorithms strand covers data structures including stacks and queues, linear and binary search, bubble selection and insertion sort, and recursion with base and recursive cases.

The web and data strand covers HTML structure, CSS styling with responsive design, JavaScript with events and the DOM, a full web project, relational databases with keys and relationships, SQL with SELECT WHERE INSERT UPDATE and DELETE, APIs with JSON, and Git and GitHub.

The professional strand covers software testing, cybersecurity fundamentals, data privacy, artificial intelligence and machine learning, AI ethics and bias, data science and visualisation, collaboration practices, STEM applications, a portfolio, and a comprehensive review.

Recommended Age 15–16 Years

Prerequisite Grade 9 Coding or Basic Programming Experience

Course Duration Full Academic Year

Live Classes 2 Classes per Week · 60 Min Each

Program Type High School Computer Science — Python, Web, Databases & AI

Module 1

Introduction to Computer Science & Coding

Topic 1.1

Computer Science

Students study computer science. Computer science is the study of computation.

Topic 1.2

Programming

Students study programming. Programming instructs a computer precisely.

Topic 1.3

Software

Students study software. Software is the instructions a computer runs.

Topic 1.4

Hardware

Students study hardware. Hardware is the physical machine.

Topic 1.5

Applications

Students study applications. Applications solve particular problems.

Module 2

Computational Thinking

Topic 2.1

Decomposition

Students decompose problems. Big problems break into small ones.

Topic 2.2

Pattern Recognition

Students recognise patterns. Patterns allow generalisation.

Topic 2.3

Abstraction

Students use abstraction. Abstraction hides unnecessary detail.

Topic 2.4

Algorithmic Thinking

Students think algorithmically. Algorithms are precise step sequences.

Topic 2.5

Logical Reasoning

Students reason logically. Logic underpins all programming.

Module 3

Algorithms & Flowcharts

Topic 3.1

Algorithms

Students write algorithms. An algorithm solves a problem in steps.

Topic 3.2

Algorithmic Steps

Students sequence algorithmic steps. Order determines correctness.

Topic 3.3

Pseudocode

Students write pseudocode. Pseudocode plans before coding.

Topic 3.4

Flowcharts

Students draw flowcharts. Flowcharts visualise control flow.

Topic 3.5

Decision Points

Students draw decision points. Decisions branch the flow.

Module 4

Python Programming Fundamentals

Topic 4.1

Python Introduction

Students learn Python. Python is readable and widely used.

Topic 4.2

Python Syntax

Students learn Python syntax. Syntax rules must be exact.

Topic 4.3

Variables

Students use variables. Variables store values by name.

Topic 4.4

Comments

Students write comments. Comments explain code to humans.

Topic 4.5

Input

Students read input. input() collects user text.

Module 5

Variables & Data Types

Topic 5.1

Variables

Students use variables. Variables can be reassigned.

Topic 5.2

Integers

Students use integers. Integers are whole numbers.

Topic 5.3

Floating-Point Numbers

Students use floats. Floats represent decimal values.

Topic 5.4

Strings

Students use strings. Strings hold text.

Topic 5.5

Booleans

Students use booleans. Booleans are true or false.

Module 6

Operators & Expressions

Topic 6.1

Arithmetic Operators

Students use arithmetic operators. Arithmetic operators compute values.

Topic 6.2

Comparison Operators

Students use comparison operators. Comparisons return booleans.

Topic 6.3

Logical Operators

Students use logical operators. and, or, and not combine conditions.

Topic 6.4

Assignment Operators

Students use assignment operators. Assignment stores a value.

Topic 6.5

Modulo

Students use modulo. Modulo gives the remainder.

Module 7

Conditional Statements

Topic 7.1

if Statements

Students write if statements. if runs code conditionally.

Topic 7.2

else Statements

Students write else branches. else handles the alternative.

Topic 7.3

elif Statements

Students write elif branches. elif chains multiple conditions.

Topic 7.4

Boolean Conditions

Students write boolean conditions. Conditions must evaluate to true or false.

Topic 7.5

Nested Conditions

Students nest conditions. Nesting handles compound decisions.

Module 8

Loops & Repetition

Topic 8.1

for Loops

Students write for loops. for iterates over sequences.

Topic 8.2

while Loops

Students write while loops. while repeats while a condition holds.

Topic 8.3

Loop Conditions

Students write loop conditions. The condition controls termination.

Topic 8.4

Range

Students use range(). range() generates number sequences.

Topic 8.5

Nested Loops

Students nest loops. Nested loops handle two-dimensional work.

Module 9

Strings & Text Processing

Topic 9.1

String Creation

Students create strings. Strings are quoted text.

Topic 9.2

String Indexing

Students index strings. Indexing accesses one character.

Topic 9.3

String Slicing

Students slice strings. Slicing extracts substrings.

Topic 9.4

String Methods

Students use string methods. Methods transform strings.

Topic 9.5

Searching Text

Students search text. Searching locates substrings.

Module 10

Lists & Collections

Topic 10.1

Lists

Students use lists. Lists store ordered collections.

Topic 10.2

Indexing

Students index lists. Indexing accesses one element.

Topic 10.3

Slicing

Students slice lists. Slicing extracts sublists.

Topic 10.4

Adding Items

Students add items. append() extends a list.

Topic 10.5

Removing Items

Students remove items. Removal changes list length.

Module 11

Tuples, Sets & Dictionaries

Topic 11.1

Tuples

Students use tuples. Tuples are immutable sequences.

Topic 11.2

Sets

Students use sets. Sets store unique unordered items.

Topic 11.3

Dictionaries

Students use dictionaries. Dictionaries map keys to values.

Topic 11.4

Key-Value Pairs

Students use key-value pairs. Keys must be unique.

Topic 11.5

Dictionary Methods

Students use dictionary methods. Methods access keys and values.

Module 12

Functions & Modular Programming

Topic 12.1

Functions

Students write functions. Functions package reusable logic.

Topic 12.2

Parameters

Students define parameters. Parameters name expected inputs.

Topic 12.3

Arguments

Students pass arguments. Arguments are the actual values.

Topic 12.4

Return Values

Students return values. return sends a result back.

Topic 12.5

Scope Introduction

Students meet scope. Scope determines where names are visible.

Modules 13–40

Also Covered in This Course

Error Handling & Debugging

File Handling

Object-Oriented Programming Introduction

Data Structures & Algorithmic Thinking

Searching Algorithms

Sorting Algorithms

Recursion Introduction

Software Development Process

Programming Projects & Problem Solving

HTML & Web Page Structure

CSS & Web Page Styling

JavaScript Introduction

Web Development Project

Databases & Data Storage

SQL Fundamentals

APIs & Application Communication

Git & Version Control

Software Testing

Cybersecurity Fundamentals

Data Privacy & Digital Safety

Artificial Intelligence & Machine Learning Introduction

AI Ethics & Responsible Computing

Data Science & Data Visualization Introduction

Computational Problem Solving

Collaboration & Software Development Practices

STEM & Real-World Coding Applications

Coding Portfolio & Progress Review

Comprehensive Coding Review & High-School Readiness

Teaching Methodology

Our Grade 10 Coding classes teach Python, web development, databases, and computer science fundamentals through hands-on building. Students write real programs, debug them, test them, and publish them. Students learn through:

Live interactive classes

Computational thinking exercises

Pseudocode and flowchart planning

Python programming from first principles

Data types and conversion practice

Operator and expression drills

Conditional logic and input validation

Loop construction and control

String slicing and text processing

List, tuple, set, and dictionary work

Function writing with parameters and returns

Systematic debugging and try/except

File and CSV handling

Classes, attributes, methods, and constructors

Stacks, queues, and structure selection

Linear and binary search implementation

Three sorting algorithms coded by hand

Recursion with base and recursive cases

HTML page building

CSS styling and responsive design

JavaScript events and DOM manipulation

A complete web development project

Relational database design

SQL query writing

API requests and JSON parsing

Git commits, branches, and GitHub

Test case writing and edge case analysis

Defensive cybersecurity practice

AI concepts, limitations, and ethics

Team programming with code review

Progress reports

Learning Outcomes

By the end of Grade 10, students will be able to:

Explain computer science concepts including compilers and interpreters.

Apply decomposition, pattern recognition, abstraction, and algorithmic thinking.

Write pseudocode and draw flowcharts before coding.

Write Python programs with correct syntax, indentation, and structure.

Use integers, floats, strings, and booleans with type conversion.

Apply arithmetic, comparison, logical, and assignment operators with correct precedence.

Write conditional programs using if, elif, and else.

Validate user input and handle invalid data.

Write for and while loops including nested loops.

Use counters, accumulators, and loop control statements.

Index, slice, search, replace, and format strings.

Create, modify, and iterate lists including nested lists.

Choose appropriately between lists, tuples, sets, and dictionaries.

Write functions with parameters, arguments, and return values.

Document functions and build modular programs.

Distinguish syntax, runtime, and logic errors and debug systematically.

Handle exceptions using try/except.

Read and write text and CSV files with error handling.

Define classes with attributes, methods, and constructors.

Implement and use stacks and queues.

Implement linear search and explain binary search.

Implement bubble, selection, and insertion sort and compare their efficiency.

Write recursive functions with correct base cases.

Follow a full software development process from requirements to documentation.

Build web pages with HTML including forms and tables.

Style pages with CSS including classes, layout, and responsive design.

Add interactivity with JavaScript events and DOM manipulation.

Complete and present a full web development project.

Design relational database tables with primary keys and relationships.

Write SQL queries using SELECT, WHERE, ORDER BY, INSERT, UPDATE, and DELETE.

Call APIs, parse JSON, and handle responses.

Use Git for commits, branches, and merges, and GitHub for hosting.

Write test cases including edge cases and report bugs clearly.

Apply defensive cybersecurity practice and recognise phishing.

Protect personal data and manage a digital footprint.

Explain how machine learning works and where AI fails.

Analyse AI bias, fairness, transparency, and the need for human oversight.

Clean, analyse, and visualise data.

Collaborate on a team software project with code review.

Assessment & Progress Tracking

Student progress is evaluated through:

Weekly coding exercises

Computational thinking tasks

Pseudocode and flowchart assessments

Python fundamentals tests

Data type exercises

Operator and expression tasks

Conditional programming assessments

Loop construction exercises

String processing tasks

List manipulation assessments

Dictionary and set exercises

Function writing tests

Debugging challenges

File handling tasks

Class definition assessments

Data structure exercises

Search algorithm implementation

Sorting algorithm implementation

Recursion exercises

Software process assessment

Programming project

HTML structure tasks

CSS styling assessments

JavaScript interactivity tasks

Web development project

Database design exercises

SQL query assessments

API integration tasks

Git and GitHub exercises

Test case writing assessment

Cybersecurity awareness tasks

Privacy and safety exercises

AI concepts assessment

AI ethics discussion tasks

Data visualization exercises

Team project assessment

Portfolio review

Why Choose NextChanakya for Illinois Grade 10 Coding?

Broad alignment with the Illinois Learning Standards for Computer Science

Pseudocode and flowcharts before code

Python taught thoroughly, not superficially

Tuples, sets, and dictionaries all covered

try/except exception handling

CSV file handling for real data

Classes with constructors and encapsulation

Stacks and queues implemented, not just described

Three sorting algorithms coded by hand

Recursion with base cases and limitations

A complete HTML, CSS, and JavaScript project

SQL including INSERT, UPDATE, and DELETE

Real API calls with JSON parsing

Git and GitHub as professionals use them

A full module on software testing

AI limitations and ethics taught seriously

Team programming with code review

Small live online classes with personal attention

Standards Note

Grade 10 Coding in Illinois is guided by the Illinois Learning Standards for Computer Science, which are based on the CSTA K–12 Computer Science Standards and organised into Computing Systems, Networks and the Internet, Data and Analysis, Algorithms and Programming, and Impacts of Computing.

Computer science is not a required subject in Illinois public schools, though Illinois allows a computer science course to satisfy part of the high school mathematics graduation requirement in some circumstances. Districts vary widely in what they offer. Families should confirm course availability and credit treatment with their own school or district.

This course teaches Python as the primary language, with HTML, CSS, JavaScript, and SQL alongside it. Other schools may teach Java, C++, Scratch, or block-based languages instead. The computational thinking, algorithms, data structures, and software development concepts transfer across languages.

The Cybersecurity module is strictly defensive. It teaches students how to protect systems, recognise phishing and social engineering, use strong authentication, and write code that validates input. It does not teach any technique for gaining unauthorised access to any system. Security testing is only ever performed on systems one owns or has explicit written permission to test.

The Data Privacy module teaches students to protect their own information and respect other people’s. Students are taught never to publish or commit API keys, passwords, or credentials, and never to collect or share personal data about others without consent.

Artificial intelligence is taught honestly, including its failures. Students learn that AI systems can be confidently wrong, that models reflect the biases present in their training data, that generated content can be convincing misinformation, and that consequential decisions require human oversight. Copyright questions around generated content are presented as genuinely unsettled rather than resolved.

Using an AI tool to produce work that a student then presents as their own is plagiarism, and is treated as such in this course. Students are taught to use AI tools as assistants whose output must be understood, verified, and credited.

The Git and GitHub module involves publishing code publicly. Students are taught to review what a repository contains before making it public, and never to commit credentials, personal information, or another person’s work.

The APIs module uses free public APIs. Students are taught to respect rate limits and terms of service, and API keys where required should be obtained and managed by a parent or guardian for students under eighteen.

Illinois schools and districts may use different programming languages, development environments, textbooks, and platforms. This is not the only Grade 10 Coding syllabus available, and no specific language, tool, or platform is required statewide.

It is important to distinguish between the Illinois computer science learning standards and the course structure created for this educational programme, which organises Grade 10 coding into a month-by-month teaching sequence.

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