What's included

• Course Syllabus

  An outline detailing the topics to be covered, prerequisites, textbooks, and grading policies.

• Lecture Slides or Notes

  Presentations or written materials covering each topic, including explanations, visualizations, and examples.

• Textbook or Recommended Reading

  Suggestions for textbooks, online resources, or academic papers for further reading.

• Assignments

  Problem sets or coding exercises to practice implementing algorithms and using data structures.

• Coding Exercises

  Practice problems for programming languages commonly used in data structures and algorithms courses (e.g., C++, Java, Python).

• Quizzes and Exams

  Assessments to evaluate students' understanding of the material, including both theoretical knowledge and programming skills.

• Code Reviews

  Feedback on students' code quality, efficiency, and adherence to best practices.