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Glad to see you, excited to explore our new way of learning together. Let's dive in!

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File and data structure
This course provides an in-depth exploration of file systems and data structures. You will learn about various types of data structures, including arrays, linked lists, stacks, queues, trees, and graphs. The course also covers file organization, storage methods, indexing, and hashing techniques, which are crucial for efficient data retrieval and storage management. By the end of the course, you will be adept at implementing and manipulating data structures to optimize performance and storage.

Chapters:

  • General information about files
  • Media concepts
  • Index structures
  • B-Trees
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Algebra
In Algebra 3, you will dive into advanced algebraic concepts and techniques. The course covers polynomial, rational, exponential, and logarithmic functions, as well as sequences, series, and complex numbers. You will also explore advanced topics such as matrix theory, determinants, eigenvalues, and eigenvectors. This course is designed to enhance your problem-solving skills and mathematical reasoning, preparing you for higher-level mathematics and applications in various fields.

Chapters:

  • Review of Algebra 2 Concepts
  • Matrix of a linear mapping
  • Reduction of Endomorphisms
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Databases
This course focuses on the principles and practices of database systems. You will learn about relational databases, SQL, normalization, and database design. The course also covers advanced topics such as transaction management, concurrency control, and distributed databases. By the end of the course, you will have a solid understanding of how to design, implement, and manage robust and efficient database systems that meet organizational needs.

Chapters:

  • Presentation of databases
  • Database design & Relational model
  • Constraints & Normalization
  • Relational algebra
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Graph theory
In this course you'll learn about the fundamental concepts and structures of graphs, including paths, cycles, trees, and networks. The course covers graph algorithms such as shortest path, spanning tree, and network flow algorithms. By the end of the course, you will be equipped with the knowledge to apply graph theory to solve complex problems.

Chapters:

  • Basic definitions
  • Graph Representations
  • Graph Algorithms
  • Applications of Graph Theory
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Data Architecture
In this comprehensive course on Data Architecture, you will learn essential concepts and advanced techniques for creating efficient, scalable, and secure data systems.

Chapters:

  • Introduction to Data Architecture
  • Data Modeling Techniques
  • Database Management Systems
  • Data Warehousing and ETL