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Computer science

The Computer Science course is a comprehensive program that covers the fundamentals of computer science, including programming, data structures, algorithms, computer networks, and software development. Upon completing the 100 lessons, learners will have a deep understanding of computer science concepts and be able to design, develop, and deploy software applications, as well as analyze and solve complex computational problems. For example, they can create a web application using HTML, CSS, and JavaScript, and deploy it on a cloud platform like GitHub. By the end of the course, learners will be well-prepared to pursue a career in computer science or related fields, such as software engineering, data science, or artificial intelligence.

Rancangan pelajaran mini · 100 pelajaran

Permulaan · pelajaran 1–25

1. Introduction to Computer Science
2. Understanding Computer Hardware
3. Basics of Operating Systems
4. Introduction to Programming Concepts
5. Variables and Data Types
6. Control Structures and Flow
7. Functions and Modular Code
8. Basic Input and Output
9. Introduction to Algorithms
10. Simple Data Structures
11. Debugging and Error Handling
12. Introduction to Software Development
13. Understanding Binary and Data Representation
14. Basic File Handling
15. Introduction to Computer Networks
16. Fundamentals of the Internet
17. Introduction to Databases
18. Basic SQL Queries
19. Introduction to Web Development
20. HTML and CSS Basics
21. Introduction to Version Control
22. Using Git and GitHub
23. Basic Cybersecurity Concepts
24. Ethics in Computing
25. Overview of Computer Science Fields

Pertengahan · pelajaran 26–50

26. Advanced Data Structures
27. Algorithm Design Techniques
28. Object-Oriented Programming Concepts
29. Classes and Objects
30. Inheritance and Polymorphism
31. Exception Handling in Depth
32. Recursion and Recursive Algorithms
33. Sorting and Searching Algorithms
34. Introduction to Complexity Analysis
35. Intermediate SQL and Database Design
36. Introduction to Operating System Concepts
37. Processes and Threads
38. Memory Management Basics
39. Networking Protocols and Models
40. Introduction to Web Programming with JavaScript
41. Client-Server Architecture
42. Introduction to APIs
43. Data Serialization Formats
44. Introduction to Software Testing
45. Unit Testing and Test-Driven Development
46. Introduction to Functional Programming
47. Lambda Expressions and Closures
48. Introduction to Mobile App Development
49. Basics of Cloud Computing
50. Introduction to Artificial Intelligence

Lanjutan · pelajaran 51–75

51. Advanced Algorithm Analysis
52. Graph Algorithms and Applications
53. Dynamic Programming Techniques
54. Advanced Object-Oriented Design Patterns
55. Concurrency and Parallelism
56. Advanced Memory Management
57. Operating System Internals
58. Network Security Fundamentals
59. Database Indexing and Optimization
60. Distributed Systems Concepts
61. Advanced Web Development Frameworks
62. RESTful API Design
63. Machine Learning Fundamentals
64. Natural Language Processing Basics
65. Introduction to Cryptography
66. Blockchain Technology Overview
67. Advanced Software Engineering Practices
68. Continuous Integration and Deployment
69. Big Data Concepts and Tools
70. Introduction to DevOps
71. Containerization with Docker
72. Introduction to Kubernetes
73. Advanced Mobile Development Techniques
74. Augmented and Virtual Reality Basics
75. Ethical Hacking and Penetration Testing

Pakar (already in the field) · pelajaran 76–100

76. Advanced Machine Learning Algorithms
77. Deep Learning Architectures
78. Reinforcement Learning Concepts
79. Advanced Cryptography Techniques
80. Quantum Computing Fundamentals
81. High Performance Computing
82. Scalable Distributed Systems
83. Advanced Blockchain Applications
84. AI Ethics and Policy
85. Natural Language Understanding
86. Computer Vision Techniques
87. Advanced Data Visualization
88. Edge Computing Concepts
89. Cybersecurity Threat Analysis
90. Advanced DevOps Automation
91. Cloud Infrastructure Design
92. Microservices Architecture
93. Advanced Parallel Programming
94. Real-Time Systems Design
95. Advanced Robotics Programming
96. Human-Computer Interaction Design
97. Computational Neuroscience Basics
98. Software Architecture Patterns
99. Research Methods in Computer Science
100. Capstone Project Planning and Execution

Related subjects

• Introduction to Programming Basics
• Variables and Data Types
• Control Structures and Loops
• Functions and Recursion
• Arrays and Lists
• Object-Oriented Programming
• Algorithms and Complexity
• Data Structures and Hashing
• File Input/Output and Persistence
• Regular Expressions and Text Processing
• Networking Fundamentals and Protocols
• Database Systems and SQL