Best Place To BuildHow did this team from IITM quietly build the world's largest edtech platform? | BP2B S1 Ep. 25
CHAPTERS
Meet Prof. Andrew Thangaraj & IIT Madras’s outreach mission
The host introduces Prof. Andrew Thangaraj (IIT Madras Electrical Engineering) and sets the frame: a mix of core EE concepts and how IITM scaled education through NPTEL, SWAYAM, CODE, and the BS degrees. The conversation previews a shift from “elite access” to “scalable access” without losing rigor.
- •Prof. Andrew’s roles: EE professor plus leadership in NPTEL/CODE/BS programs
- •Podcast theme: IITM as a place that enables large-scale building
- •Promise of two threads: technical EE + democratizing higher education
- •Why outreach matters: opening IIT-quality learning beyond campus
Information Theory: why Shannon’s ideas changed engineering
Prof. Andrew explains information theory as the quantification of “information” and the search for fundamental limits in storage and communication. He connects mathematical theory to real-world systems like phones, cameras, and compression—systems that now operate close to Shannon limits.
- •Shannon’s breakthrough: information as a measurable quantity
- •Fundamental limits: knowing what “best possible” means
- •Theory-to-practice link: modern algorithms approach predicted limits
- •Information theory as a fusion of math, probability, and engineering
Source coding vs. channel coding: compression and reliable communication
The discussion breaks down two central pillars of information theory: compressing data efficiently (source coding) and sending data reliably over noisy channels (channel coding). Prof. Andrew illustrates redundancy in language and bit-flips in communication to make the concepts intuitive.
- •Source coding: remove redundancy while preserving recoverability
- •Examples of redundancy (e.g., predictable patterns in language)
- •Channel coding: error correction when bits can flip in transmission
- •Why these ideas underpin everyday digital devices and networks
What electrical engineering really is: controlling ‘the sine wave’
Prof. Andrew offers an intuitive definition of electrical engineering as understanding, modeling, and controlling sinusoidal behavior in physical systems. He emphasizes the unifying skill: controlling voltage/current through circuits to make devices behave as desired—from motors to phones.
- •EE as the art/science of understanding and controlling sine waves
- •Foundation blend: mathematics + physics + circuit abstraction
- •Core objects of control: potential (voltage) and current
- •EE spans scales: high-power grids to low-power electronics
EE vs ECE/EEE & IITM’s specialization landscape
The host raises confusion around EE vs ECE/EEE, and Prof. Andrew explains the historical split and modern convergence. He frames differences largely by operating regimes (high voltage/current vs low-power systems) and outlines major specialization tracks students pursue at IITM.
- •Branch unification: many IITs now use a single ‘Electrical Engineering’ umbrella
- •Practical distinction: high-power vs low-power regimes and constraints
- •Key areas: communications/signal processing, microelectronics/devices, circuits/VLSI, power systems
- •Emerging drivers: EVs, renewables, and power electronics revitalizing ‘mature’ areas
Is IIT Madras EE ‘hard’? Faculty culture, abstraction, and Fourier shock
Prof. Andrew addresses the reputation of EE being difficult, separating past grading strictness from inherent conceptual challenge. He attributes difficulty to heavy abstraction layers (circuits, signals, vectors, bits) and the need to translate between physical reality and math—often crystallized by concepts like Fourier transforms.
- •Past difficulty: stricter faculty/grading culture decades ago
- •Today: friendlier support; grades not necessarily worse than other departments
- •Why EE feels hard: deep abstractions and nonlinear circuit reasoning
- •Fourier transform as a rite-of-passage example of ‘abstract space’ thinking
NPTEL origins: recording IIT lectures before YouTube and MOOCs
The conversation pivots to outreach and how NPTEL began around 2000 as a ministry-supported initiative led by early champions. The original model was simple but radical for the time: record IIT classes and make them freely accessible nationwide to improve teaching quality beyond IIT campuses.
- •Early leadership and ministry funding; ‘standing on shoulders of giants’
- •Pre-YouTube era: classes recorded and published on an NPTEL portal
- •Motivation: scale IIT-quality teaching to colleges that can’t hire similar faculty
- •Early distribution patterns: DVDs and faculty using NPTEL as course material
NPTEL certification: why proctored exams made MOOCs mainstream in India
Prof. Andrew explains the shift from free content to credible credentials, driven by learner demand for proof of mastery. IITs chose proctored, center-based exams (not fully online) to build trust and reputation at scale, launching the first flagship course in 2014 and expanding rapidly thereafter.
- •Learner pull: requests for certificates to validate learning
- •Key design choice: proctored exams to reduce cheating and align with Indian norms
- •2014 pilot: huge enrollments with steep funnel to exam takers and certificate earners
- •Scale today: hundreds of courses per semester, lakhs-to-millions participating
SWAYAM & credit transfer: building a national MOOC rails system
The ministry’s SWAYAM initiative expanded the model beyond technology and enabled formal credit transfer. Prof. Andrew describes SWAYAM as the standardized national portal that makes cross-institute credit recognition far easier than one-off MOUs, effectively normalizing online learning in India.
- •SWAYAM launched to broaden disciplines and unify credentialing
- •Credit transfer becomes practical at national scale via a common framework
- •Contrast with bilateral MOUs: slow, high-effort, and not scalable
- •IITM CODE’s role in operating/coordination of key platform elements
From NPTEL to degrees: why IITM built the BS program
With operational confidence from NPTEL, IITM saw that many high performers existed outside the JEE pipeline and that curriculum-level learning could be scaled. Prof. Andrew critiques how coaching intensity and cost distort access, then argues for scaling what can be scaled—especially given IITs’ small share of national UG enrollment despite large public funding.
- •NPTEL revealed talent beyond JEE: high performers without IIT entry
- •JEE coaching economics: cost, abuse, and unequal access
- •IITs: small fraction of UG seats yet substantial budget share—pressure to scale impact
- •Principle: scale the curriculum/learning even if campus life can’t fully scale
BS program design: ‘filter later’ with Foundation → Diploma → Degree
Prof. Andrew outlines a deliberately different admissions philosophy: admit a broad pool, then filter through structured stages rather than a single high-stakes entrance. Students enter via a qualifier, progress through a foundation of core courses, then a demanding diploma stage that emphasizes practical skills and projects before the final degree stage.
- •Admissions approach: broader entry; rigorous progression-based filtering
- •Qualifier scale: large applicant pool; meaningful but not hyper-exclusive selection
- •Foundation stage: core math/stats/programming (and circuits for electronics track)
- •Diploma stage as the toughest filter; Degree stage for those who persist
Skills-first learning at scale: projects, vivas, and remote rigor
The program prioritizes hands-on capability earlier than typical BTech structures, using project-based assessments and live vivas to maintain integrity. Prof. Andrew explains how online labs and evaluations can scale to thousands while still testing real understanding through supervised changes and deep questioning.
- •Philosophy: skills early, theory integrated to support execution
- •Remote delivery with strong assessment: multiple projects + one-hour vivas
- •Scalability: thousands feasible with process discipline (not unlimited scale)
- •Outcome funnel: many exit after diploma (often alongside another degree)
Affordability, inclusion, and redefining ‘quality’ through outcomes
Fees and fee support are structured to enable participation from low-income learners, with a significant fraction receiving support. Prof. Andrew reframes quality as transformation and employability—taking learners from “zero to job-ready”—rather than only measuring through extreme upfront filtering.
- •Fee levels differ by track; strong fee support based on family income
- •High participation from <5L and even <1L income brackets
- •Quality redefined: capability-building and transformation, not just selection
- •Impact stories: upward mobility, jobs, and pathways to MTech/PhD
Community effects & credibility signals: GATE ranks and alumni identity
Despite being largely remote, students form city-based groups and communities, approximating some peer-network benefits of campus life. Prof. Andrew cites strong external validation—top GATE ranks by BS learners, including a notable rank-1 story—and notes that graduates become IITM alumni, with long-term reputation built by outcomes.
- •Student-led community: local groups, events, emerging peer ecosystem
- •External validation: BS learners achieving top GATE DA ranks
- •Second-chance narratives: career pivots enabled by flexible degree pathways
- •Long-term flywheel: alumni outcomes establishing program brand
What’s next: new degrees, IITM’s advantage, and the broader CODE umbrella
Prof. Andrew discusses future program possibilities, emphasizing that large-scale degrees make sense where employment demand is broad (e.g., data/AI) and acknowledging the challenges of scaling core engineering. He then explains CODE as the umbrella for IITM’s outward-facing education—executive education, bespoke corporate training, and a web-based MTech—enabled by IITM’s governance and in-house execution model.
- •Future programs: careful selection based on labor-market scale and feasibility
- •Potential expansion beyond engineering (economics/finance/commerce partnerships)
- •Why IITM can move deliberately: public mission, Senate oversight vs investor pressure
- •CODE scope: executive education, web MTech, deep-tech upskilling, bespoke training
Back to campus: Engineering Physics vs EE, student life, and quick BS vs BSc clarity
The conversation briefly returns to on-campus academics, where Prof. Andrew praises Engineering Physics students and notes curriculum overlap with EE, especially in math readiness. He shares his own IITM student experience (1994–1998) and closes with a practical distinction: BSc is typically three years, BS is four years, with multiple exit options in the BS pathway.
- •EP vs EE: heavy overlap; EP students often exceptionally strong conceptually
- •Electives: math background often limits cross-department participation in advanced courses
- •Personal IITM journey: first-generation college student shaped by peer ecosystem
- •BS vs BSc: duration difference; BS program supports staged exits and progression
