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Software & AI Engineering
Intermediate

Data Structures & Algorithms (University)

Learners will gain the ability to rigorously analyze algorithmic complexity, prove correctness, and implement optimized solutions for complex computational prob

Data Structures & Algorithms (University). This course is designed for undergraduate computer science students or self-directed learners who have mastered basic programming and discrete mathematics. Learners will gain the ability to rigorously analyze algorithmic complexity, prove correctness, and implement optimized solutions for complex computational problems. This course is independent preparation and is not affiliated with or endorsed by the independent university-level study (not affiliated with any university); check the official site for current test formats and dates. Every lesson includes tutor notes, a practical lab, worked exercises and a 12-question quiz you must pass at 80%, followed by a pooled final exam and free and paid practice tests.

150h Certificate available

Curriculum

One complete track with its own final exam and certificate.

10 modules mapped to the official examination areas, from foundations to final mocks.

Course Overview, Prerequisites, and Study Plan. Practice activity: Complete a diagnostic assessment covering recursion, sets, and basic probability theory..

  • 1.1 Logistics and High-Level Course Architecture Lab90 min
  • 1.2 Review of Discrete Math: Induction and Summations Lab90 min
  • 1.3 The RAM Model of Computation Lab90 min
  • 1.4 Mathematical Proof Techniques for Algorithm Analysis Lab90 min
  • 1.5 Development Environment and Coding Standards Lab90 min

Careers this prepares you for

    How you study

    Every lesson pairs an in-depth video with written notes, key takeaways, a hands-on lab, exercises and a quiz. Work at your own pace, then sit the final examination for your Erudex certificate.