Algorithms

This course covers Algorithms topics for GATE, UGC-NET, PSU recruitment and other Computer Science examinations. The syllabus includes Asymptotic Analysis, Divide & Conquer, Greedy Algorithms, Dynamic Programming, Backtracking, Graph Algorithms, String Matching and Advanced Algorithmic Techniques.

This course is for Computer Science learners preparing for GATE, UGC-NET, PSU recruitment and other competitive examinations. It focuses on exam-oriented Algorithms concepts and problem-solving practice, making it suitable for learners who want structured preparation in this subject.

Yes. The course includes practice questions focused on exam-oriented concepts and problem solving. Practice is provided under the guidance of Sanchit Sir and is aligned with the Algorithms topics covered in the course.

Set your target score in Goal Slider to get an exact daily plan. Syllabus Hotspots show which Algorithms topics GATE asks most, from real PYQ data, and Progress Monitor shows where you lose marks. Leaderboard and Battles let you see where you stand and compete live with other aspirants.

Plus includes every question, PYQ, test and AI tool, along with the community and Course Captain. Pro includes everything in Plus plus Sanchit Sir’s videos. Access is available for 180 days or 365 days.

The Goal Slider allows you to set your target and automatically personalizes your learning plan. Based on your goal, the platform adjusts the number of lessons, practice questions, and difficulty level, helping you prepare more efficiently.

Paper I evaluates candidates on General Knowledge & Awareness, General Intelligence & Reasoning, Numerical Ability, and English Language. These sections assess a candidate's aptitude and problem-solving abilities.

Paper II focuses on professional Computer Science knowledge. It tests candidates on core technical subjects relevant to Computer Science and Information Technology, making technical preparation an essential part of the recruitment process.

A balanced approach works best. Understanding theory is essential, but applying those concepts through questions helps strengthen retention and exam readiness. Many aspirants find it helpful to study a topic and immediately solve related problems before moving ahead.

KnowledgeGate AI is an AI-powered learning platform designed for Computer Science students preparing for competitive exams, placements, and career growth. The platform combines expert guidance, structured learning paths, practice questions, mock tests, and performance analytics to help learners prepare more effectively.