HarvardX: CS50’s Introduction to Computer Science course Syllabus
Full curriculum breakdown — modules, lessons, estimated time, and outcomes.
This is a comprehensive introduction to computer science, designed to build deep programming and problem-solving skills from the ground up. The course spans approximately 12 weeks with a total time commitment of 180–200 hours, averaging 15–20 hours per week. Through a mix of lectures, hands-on problem sets, and a final project, learners explore foundational concepts in computer science using languages like C, Python, SQL, and JavaScript. The curriculum progresses from low-level programming to high-level web development, emphasizing real coding, algorithmic thinking, and software design.
Module 1: Foundations of Computer Science
Estimated time: 40 hours
- Introduction to algorithms and computational problem-solving
- Binary representation and computer memory
- Computational logic and abstraction
- Programming in C: syntax, compilation, and execution
- Debugging strategies and tools
Module 2: Data Structures and Memory
Estimated time: 50 hours
- Arrays, linked lists, stacks, and queues
- Trees and hash tables
- Pointers and dynamic memory allocation in C
- Memory management and common pitfalls
- Algorithm efficiency and Big O notation
Module 3: High-Level Programming with Python
Estimated time: 35 hours
- Transition from C to Python
- Python syntax and data structures
- Functions, libraries, and modularity
- Problem-solving with higher-level abstractions
Module 4: Database and SQL Fundamentals
Estimated time: 25 hours
- Introduction to databases and relational models
- SQL queries: SELECT, INSERT, UPDATE, DELETE
- Joining tables and indexing
- Data integrity and normalization basics
Module 5: Web Development with HTML, CSS, and JavaScript
Estimated time: 30 hours
- HTML structure and semantic markup
- CSS for styling and layout
- JavaScript for client-side interactivity
- Building and deploying simple web applications
Module 6: Final Project
Estimated time: 40 hours
- Design a self-directed programming project
- Implement using appropriate languages and tools
- Document and present the project
Prerequisites
- Familiarity with basic algebra
- No prior programming experience required
- Willingness to engage with challenging material
What You'll Be Able to Do After
- Think algorithmically and solve programming problems efficiently
- Write, test, and debug code in C, Python, and JavaScript
- Design and query databases using SQL
- Build interactive web applications from scratch
- Demonstrate core computer science skills applicable to software engineering and data science