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Academic Syllabus & Progression

2027 Admissions Programme Full Syllabus

Complete subject-by-subject curriculum covered across the 16-week Flagship Tech Admissions Programme: 6 weeks of live concept teaching followed by up to 10 weeks of continuous attempt support.

Back to 2027 Admissions Programme
•60+ hours live instruction
•30 teaching days across 6 weeks
•10+ clinic sessions for doubt repair & SOPs
•4-hour turnaround recording policy
Weekly Teaching Progression

Explore Dedicated Week-by-Week Syllabi

6 teaching weeks • 10 attempt support weeks
Complete Academic Curriculum

Subject-by-Subject Syllabus Overview

Structured domain breakdown covering every core concept, algorithmic logic pattern, and exam technique taught in the programme.

Module Area 01Foundations, Calculus, Combinatorics & Linear Systems

Quantitative Aptitude & Higher Mathematics

Rigorous mathematical training covering foundational discrete concepts, coordinate geometry, higher-level combinatorics, probability distributions, matrices, and linear algebra.

Discrete Mathematics & Number Systems

  • Set theory operations, relations, functions, and equivalence classes
  • Divisibility properties, modular arithmetic, remainders, and prime factorization
  • Progressions & series: Arithmetic, geometric, harmonic progressions, and telescoping summation
  • Mental arithmetic, percentage-fraction conversions, and speed estimation models

Coordinate Geometry & Conic Sections

  • Straight lines: Slope equations, perpendicular distance, concurrency, and locus problems
  • Circles: Standard and general forms, chords, tangents, and intersections
  • Conic sections: Parabolas, ellipses, and hyperbolas standard equations and properties
  • Spatial geometry transformations and vector representations in 2D and 3D

Combinatorics & Binomial Theorem

  • Fundamental counting principles, permutations with restrictions, and circular permutations
  • Combinations with repetition, grid-path counting, and inclusion-exclusion principle
  • Binomial theorem: General term expansions, middle terms, and coefficient property applications
  • Derangements, partition numbers, and combinatorial identity derivations

Probability Theory & Distributions

  • Sample spaces, independent events, mutually exclusive events, and probability axioms
  • Conditional probability, multiplication theorem, and law of total probability
  • Bayes Theorem applications in computing and inference scenarios
  • Binomial distributions, random variables, expected value, and variance

Matrices, Determinants & Linear Algebra

  • Matrix algebra: Multiplication, transpose, symmetric/skew-symmetric matrices, and orthogonality
  • Determinant properties, cofactor expansions, adjoints, and matrix inversion techniques
  • System of linear equations: Cramer’s rule, rank consistency, and solution space analysis
  • Calculus foundations: Limits, continuity, derivatives, and definite integral applications
Module Area 02Flowcharts, Pseudocode, State Tracing & Pattern Logic

Logical Reasoning & Algorithmic Thinking

Developing computational logic and structured problem decomposition essential for next-generation technology admissions tests.

Flowchart Logic & Decision Branching

  • Flowchart structural syntax: Decision diamonds, process nodes, loop connectors, and terminal states
  • Tracing multi-conditional logic trees, nested branching, and boundary condition evaluation
  • Infinite loop detection, loop invariance analysis, and termination verification
  • Algorithmic flowchart synthesis from natural language problem descriptions

Pseudocode Dry-Running & State Machines

  • Manual variable tracing, scope analysis, and memory state tables
  • Iterative loop dry-running, nested counter increments, and break/continue execution
  • Recursion call-stack simulation, base-case identification, and return value tracing
  • Time and space complexity intuition (Big-O analysis) for entrance-level algorithms

Deductive Logic & Arrangement Sets

  • Linear and circular arrangement puzzles with complex multi-variable constraints
  • Relational logic grids, truth-teller / liar paradoxes, and deduction matrices
  • Sequence extrapolations: Numeric progressions, alphanumeric series, and pattern sequences
  • Data interpretation from structured tables, relational charts, and graph networks
Module Area 03Passage Deconstruction, Inference & Written Defense

Technical Comprehension & Verbal Precision

Rigorous training in technical reading speed, critical deduction, and coherent written defense required for entrance verbal sections and interview panels.

Technical Reading Comprehension

  • Active reading methodologies for dense scientific, computing, and technological passages
  • Thesis statement identification, argument flow roadmaps, and structural pivoting
  • Technical terminology interpretation and contextual vocabulary analysis
  • Main idea vs secondary supporting detail differentiation under timed pressure

Critical Reasoning & Inference Validation

  • Explicit facts vs implicit logical inferences: Valid extrapolation boundaries
  • Assumption extraction: Identifying unstated necessary premises in technical arguments
  • Argument strengthening and weakening: Evaluating counter-evidence and logical fallacies
  • Deductive conclusion validation from complex multi-premise technical statements

Structured Written Articulation & SOP Defense

  • Claim-Evidence-Reasoning (CER) structure for technical and essay entrance prompts
  • Precision and conciseness: Eliminating circular reasoning and rhetorical padding
  • Statement of Purpose (SOP) articulation: Academic intent and project portfolio narrative
  • 1-on-1 interview defense preparation: Articulating project architecture and technical decisions
Module Area 04Rubric Analysis, Negative Marking Triage & Pacing

Entrance-Specific Strategy & Examination Tactics

Tactical execution models calibrated to the specific interfaces, scoring rubrics, and timing constraints of top Indian technology entrance exams.

Supported Entrance Examination Matrix

  • Exam patterns & rubrics: Scaler NSET, Newton NSAT, Kalvium KNET, Vedam VSAT, PW IOI CEE, Polaris PAT
  • Sectional weightage mapping, mandatory cutoff minimums, and adaptive test mechanics
  • Computer-based test (CBT) interface mastery: Flagging, navigation shortcuts, and timer awareness

Negative Marking & Expected Value Optimization

  • 3-Pass Triage Protocol: Rapid certainty solves, calculated analytical passes, disciplined skips
  • Negative marking risk-reward models: Expected value calculation under partial elimination
  • Deceptive question identification: Spotting high-latency time sinks early and pivoting

Pacing Models & Rolling Admissions Strategy

  • Sectional time-budget allocation for 90-minute and 120-minute examination windows
  • Cognitive endurance and focus management during high-stakes multi-hour test sessions
  • Rolling admissions calendar: Scheduling early vs regular round attempts across Nov–Feb
Module Area 05Diagnostics, Proctored Mocks & Attempt Support

Practice, Assessment & Readiness Architecture

Continuous evaluation infrastructure from initial baseline diagnostics through proctored simulation exams and 10 weeks of rolling attempt support.

Diagnostic Baselining & Weak-Area Tracking

  • Full-length entry diagnostic benchmark examination with topic-wise accuracy mapping
  • Personalized weak-area surgical logs with customized daily drill problem sets
  • 4-hour turnaround policy for lecture recordings, annotated notes, and solution keys

Proctored Mock Simulations & Error Autopsy

  • Full-length simulation examinations mirroring actual exam interfaces, rubrics, and timers
  • Granular performance scorecards with percentile analysis and speed-per-question metrics
  • Forensic error autopsies: Categorizing mistakes by concept, arithmetic, or time pressure
  • Step-by-step video solutions for every question in the simulation test suite

10-Week Continuous Attempt Support Phase

  • Round-specific doubt clinics before every major university entrance date (Nov–Feb)
  • Post-attempt error analysis and strategy recalibration for subsequent rolling rounds
  • 1-on-1 simulated interviews with senior mentors for shortlisted applicants
  • Statement of Purpose (SOP) review, GitHub portfolio audit, and final admissions guidance
FOUNDING BATCH B01

2027 Admissions Programme

Admissions open: 24 October 2026•6 weeks live teaching · 10 weeks support•₹2,999
5,000+ students taught•
Join WaitlistExplore Programme Overview →