BPSC TRE 4.0 Computer Teacher Preparation Command Center
Comprehensive, NCERT-grounded study system aligned with BPSC Advertisement No. 14/2026 and past TRE 1.0, 2.0 & 3.0 question papers for Higher Secondary (Class 11โ12 / PGT) aspirants.
Syllabus Coverage
Study Plan Milestones
NCERT Books Attached
Diagnostic Quiz
| Part | Subject Area | Questions | Nature |
|---|---|---|---|
| Part I | Language (English + Hindi/Urdu) | 30 Questions | Qualifying (30%) |
| Part II | General Studies (Math, Reasoning, GS, GA) | 40 Questions | Merit Counting |
| Part III | Computer Science Core | 80 Questions (80M) | Decisive Merit Maker |
* Negative marking setting is configurable in this portal to adapt seamlessly to official BPSC notifications.
Historical progression of qualifying cutoffs shows escalating competition. In TRE 4.0, securing 65+ out of 80 in Part III (Subject) is critical for guaranteed selection.
| Recruitment Cycle | Exam Date | UR Cutoff | EWS Cutoff | BC Cutoff | EBC Cutoff | Key Exam Character |
|---|---|---|---|---|---|---|
| TRE 1.0 | Aug 2023 | 39 / 120 | 39 | 39 | 39 | First major exam, qualifying score was sufficient |
| TRE 2.0 | Dec 2023 | 63 / 120 | 56 | 53 | 47 | Sudden jump in competition, Python & DBMS heavy |
| TRE 3.0 | July 2024 | 73+ / 120 | 67+ | 68+ | 64+ | High difficulty, 22+ questions strictly from Python |
| TRE 4.0 (Target) | Advt 14/2026 | 85โ95+ / 120 | 80+ | 82+ | 78+ | Safe Zone: Target 65+ in Subject (Part III) + 25+ in GS (Part II) |
๐ Topic-Wise Weightage Blueprint (80 Marks)
Derived from rigorous analysis of BPSC TRE 1.0, 2.0, and 3.0 question papers. Use this blueprint to balance your study hours.
๐ NCERT Digital Companion Library
Direct chapter-by-chapter mapping of Class 11 (kecs1dd/) and Class 12 (lecs1dd/) textbooks available in your workspace.
๐ Complete Master Syllabus (12 Units)
The definitive syllabus breakdown covering every sub-topic, formula, syntax point, and algorithm expected in BPSC TRE 4.0.
๐๏ธ 8-Week Interactive Study Roadmap
Day-by-day structured curriculum with persistent progress tracking saved directly in your browser.
โก High-Yield Quick Revision Cheat Sheets
Condensed formula sheets, Python edge cases, SQL query pipelines, and networking port tables designed for rapid recall.
๐ BPSC TRE Pattern Diagnostic Mock Test
Test your knowledge with authentic BPSC 5-option multiple-choice questions, complete with step-by-step mathematical & code explanations.
๐ฌ R&D Study Hub & Public Contribution Guide
A step-by-step roadmap showing how we are processing each NCERT chapter, expanding notes, and publishing updates for public aspirants.
We open each chapter PDF in
kecs1dd/ and lecs1dd/ sequentially. I extract all key definitions, line-by-line code nuances, flowchart rules, and create comprehensive markdown study notes in the notes/ directory.
For each chapter, we generate 50+ authentic BPSC-pattern MCQs containing output predictions, edge-case traps, and numerical problems with 5 options and step-by-step solutions.
We update
syllabus-data.js, quiz-data.js, and cheatsheets-data.js automatically. The web portal instantly re-renders with fresh practice tests, new cheat sheets, and downloadable revision sheets.
Because this website is built with zero-dependency static web architecture, it can be hosted on GitHub Pages or any free host in 30 seconds for students across Bihar and India to access for free!
| Batch | Focus Chapter | File | Key Output | Status |
|---|---|---|---|---|
| Batch 1 | Class 11 Ch. 5: Getting Started with Python | kecs105.pdf |
Operator precedence, dynamic typing, tokens cheat sheet | Next in Queue |
| Batch 2 | Class 11 Ch. 6: Flow of Control & Loops | kecs106.pdf |
Nested loops, range() bounds, loop else suite output questions | Queued |
| Batch 3 | Class 11 Ch. 7: Functions & Variable Scope | kecs107.pdf |
LEGB rule, default argument traps, recursion tracing | Queued |
| Batch 4 | Class 12 Ch. 8: Database Concepts | lecs108.pdf |
Keys, degree/cardinality, Normalization 1NF to BCNF rules | Queued |
| Batch 5 | Class 12 Ch. 9: SQL Queries & Joins | lecs109.pdf |
HAVING vs WHERE, JOIN syntax, aggregate NULL behaviors | Queued |