Core Computer ScienceIntermediate Level•48 Hours•4.9 Rating•3,820 Students Enrolled

Advanced Data Structures & Algorithmic Optimization

Master memory layout, asymptotic complexity, balanced trees, graph traversal, and dynamic programming with automated unit testing.

24 In-Browser CodeLab Exercises6 Cloud Virtual LabsVerifiable Completion Credential

Course Overview

This course delivers rigorous foundations in algorithmic engineering. Rather than theoretical pseudocode, you will implement data structures in C++ and Python inside CodeLab, with real-time test verification and memory leak profiling.

What You Will Learn

Implement self-balancing search trees (AVL, Red-Black) and analyze rotational complexity
Optimize graph traversal algorithms (Dijkstra, A*, Tarjan strongly connected components)
Formulate dynamic programming solutions with memoization and iterative state tables
Profile execution latency and memory overhead against real test suites

Curriculum & Modules

4 Modules • 12 Total Lessons
1.1 Memory Hierarchy & Cache Locality
video28 mins
1.2 Implementing Dynamic Vector Growth in C++
interactive45 mins
1.3 Memory Leak Profiling with Valgrind
lab35 mins

Practical Learning & Cloud Sandboxes

Run code against hidden test cases directly in the browser with memory and runtime quotas.

In-Browser CodeLab

24 automated exercises evaluated against real compilers and standard test matrices in seconds.

Cloud Virtual Labs

6 complete Linux containers launching isolated Docker runtimes, networking, and memory profiling.

Capstone Projects & Deliverables

Project Deliverable 1

High-Throughput In-Memory Key-Value Index

Design and benchmark a concurrent key-value storage engine using B-Trees and memory-mapped files.

Required Deliverables:
  • C++ source repository
  • Automated test suite passing 100%
  • Benchmark performance report

Assessments & Grading

Continuous internal assessment with unit test harness validation and automated rubric scoring.

8 Knowledge Check Quizzes14 Automated Unit Test Suites

Prerequisites & Requirements

  • Basic familiarity with C++ or Python syntax
  • High school algebra and discrete math basics
Hardware requirements: Only a modern web browser with Internet access. All code execution runs in the cloud.

Instructor Profile

DAR

Dr. Arvind Raman

Principal Systems Architect & Former IIT Faculty • VEducate Academy Advisory Board

Over 18 years of experience teaching systems engineering, distributed computation, and advanced algorithms at tier-1 universities and tech research labs.

Course FAQs

Yes. The syllabus matches standard Tier-1 university Data Structures & Algorithms curricula and maps directly to AICTE/ABET Course Outcomes (CO1-CO5).
Enrollment Options
$149
Includes verified certificate & cloud compute
Sign In to EnrollRequest Campus Pilot Access
This course includes:
  • 48 Hours on-demand video & reading
  • 24 in-browser CodeLab exercises
  • 6 full Linux cloud virtual labs
  • 14 automated unit test suites
  • Cryptographic completion diploma
For Colleges & Universities

Available under Campus & Department Licensure

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