BCA SEMESTER 1
AICTE UG CURRICULUM BASED
BCA SEMESTER 1 • ONLINE COURSE

BUILD A STRONG FOUNDATION FOR YOUR BCA JOURNEY

AICTE UG CURRICULUM BASED

A structured Semester 1 learning program focused on the core subjects that build the foundation of your BCA journey.

BCASem 1

BCA

Semester 1

Mathematics

Foundation

Programming

Problem Solving

Architecture

Digital Systems

Course Overview

Complete Semester 1 Learning Program

A focused learning experience covering the major technical subjects of BCA Semester 1, along with supporting academic resources.

03

Major Subjects

04

Additional Subjects

01

Complete Semester

FREE

Notes for Every Student

Learning Focus

What You'll Learn

A clear academic path across the three major technical pillars of BCA Semester 1.

Mathematics Foundation

Build discrete mathematics fluency across sets, counting, graphs, and matrix algebra.

Problem Solving with C

Develop structured problem-solving skills and C programming fundamentals.

Computer Architecture

Understand digital principles, circuits, organization, memory, and I/O systems.

Major Subjects

The Core of Your Semester 1

Three major subjects form the primary focus of this program.

Subject 01

Mathematics Foundation to Computer Science - I

4 UnitsComplete Syllabus Included
  • Set
  • Set Operations
  • Properties of Set Operations
  • Subset
  • Venn Diagrams
  • Cartesian Products
  • Relations on a Set
  • Properties of Relations
  • Representing Relations using Matrices and Digraphs
  • Types of Relations
  • Equivalence Relation
  • Equivalence Relation and Partition on Set
  • Closures of Relations
  • Warshall's Algorithm
  • Functions
  • Domain and Range
  • Composition of Functions
  • Surjective / Onto Functions
  • Injective / One-to-One Functions
  • Bijective Functions
  • Inverse of Functions
  • Exponential Functions
  • Logarithmic Functions
  • Polynomial Functions
  • Ceiling and Floor Functions
  • Basics of Counting
  • Pigeonhole Principle
  • Permutation
  • Combination
  • Binomial Coefficients
  • Binomial Theorem
  • Recurrence Relations
  • Modelling Recurrence Relations
  • Fibonacci Numbers
  • Tower of Hanoi Problem
  • Solving Linear Recurrence Relations
  • Characteristic Equation Roots Method
  • Basic Terminologies of Graphs
  • Connected and Disconnected Graphs
  • Subgraph
  • Paths
  • Cycles
  • Complete Graphs
  • Digraphs
  • Weighted Graphs
  • Euler Graphs
  • Hamiltonian Graphs
  • Trees
  • Properties of Trees
  • Spanning Tree
  • Planar Graphs
  • Definitions and Basic Results
  • Types of Matrices
  • Matrix Addition
  • Matrix Subtraction
  • Matrix Multiplication
  • Determinant of a Matrix
  • Symmetric Matrices
  • Skew-Symmetric Matrices
  • Orthogonal Matrix
  • Rank of a Matrix
  • Inverse of a Matrix
  • Applications of Matrices to Solve Linear Equations
  • Eigenvalues
  • Eigenvectors
  • Cayley-Hamilton Theorem

Subject 02

Problem Solving Techniques

Focus: C Programming + Problem Solving

4 UnitsComplete Syllabus Included
  • Problems and Problem Instances
  • Generalization and Special Cases
  • Types of Computational Problems
  • Classification of Problems
  • Analysis of Problem-Solving Approaches
  • Algorithm Development
  • Analysis of Algorithm
  • Efficiency
  • Correctness
  • Role of Data Structures
  • Problem Solving Steps
  • Problem Understanding
  • Plan
  • Execute
  • Review
  • Breaking Problems into Subproblems
  • Input/Output Specification
  • Input Validation
  • Pre and Post Conditions
  • Sequence
  • Input / Output / Assignment
  • Selection
  • If
  • If-Else
  • Repetition
  • For
  • While
  • Do-While
  • Control Structure Stacking
  • Nesting
  • Different Kinds of Repetitions
  • Entry Controlled
  • Exit Controlled
  • Counter Controlled
  • Definite
  • Indefinite
  • Sentinel Controlled Repetitions
  • Pseudocode
  • Flowcharts
  • Algorithm Characteristics
  • Standard Algorithm Format
  • Problems Involving Iteration
  • Arithmetic and Geometric Progression
  • Fibonacci and Other Sequences
  • Approximate Values
  • Mathematical Functions
  • Signed Magnitude
  • 1's Complement
  • 2's Complement
  • Floating Point Representation
  • ASCII
  • Unicode
  • C Language Introduction
  • Programming Languages
  • Generations of Programming Languages
  • History of C
  • Empty C Program
  • C Statements
  • Assignment
  • Arithmetic Operators
  • Relational Operators
  • Logical Operators
  • If-Else
  • For
  • While
  • Do-While
  • Data Types
  • Translation
  • Compilation
  • Testing
  • Debugging
  • Increment / Decrement Operators
  • break
  • continue
  • Input / Output Statements
  • Problems on Arrays
  • Extracting Digits
  • Palindrome
  • Prime Number
  • Prime Factors
  • Amicable Number
  • Perfect Number
  • Armstrong Number
  • Factorial
  • Counting Number of More Than One Base
  • Statistics
  • Maximum
  • Minimum
  • Sum
  • Average
  • Sentinel-Controlled Repetition
  • C Variables
  • else-if Ladder
  • switch Case
  • Increment / Decrement
  • break
  • continue
  • Modular Programming
  • Top-Down Approach
  • Bottom-Up Approach
  • Recursion
  • Arrays
  • Reading and Writing Array Elements
  • Maximum
  • Minimum
  • Sum
  • Average
  • Median
  • Mode
  • Sequential Search
  • Binary Search
  • Sorting Algorithm
  • Matrix Operations
  • Function Definition
  • Function Declaration
  • Prototype
  • Return Statement
  • One Dimensional Arrays
  • Two Dimensional Arrays
  • String Functions
  • Other Operators
  • Operator Precedence
  • Associativity
  • Debugging

Subject 03

Computer Architecture

4 UnitsComplete Syllabus Included
  • Digital Signals
  • Digital Logic
  • Digital Computers
  • Von Neumann Architecture
  • Boolean Laws and Theorems
  • K-Map
  • Truth Tables
  • 2, 3 and 4 Variable K-Map
  • K-Map Simplification
  • Don't Care Conditions
  • SOP
  • POS
  • Number Systems
  • Decimal
  • Binary
  • Octal
  • Hexadecimal
  • Number System Conversions
  • Binary Arithmetic
  • BCD
  • Octal Arithmetic
  • Hexadecimal Arithmetic
  • Binary Codes
  • Decimal Codes
  • Error Detecting and Correcting Codes
  • ASCII
  • EBCDIC
  • Excess-3 Code
  • Gray Code

Combinational Circuits

  • Half Adder
  • Full Adder
  • Subtractor
  • Decoder
  • Encoder
  • Multiplexer
  • Demultiplexer

Sequential Circuits

  • SR Flip-Flop
  • D Flip-Flop
  • JK Flip-Flop
  • T Flip-Flop

Registers

  • 4-bit Register
  • Parallel Load
  • Shift Registers
  • Bidirectional Shift Register
  • Parallel Load

Counters

  • 4-bit Synchronous Binary Counter
  • 4-bit Asynchronous Binary Counter
  • Instruction Codes
  • Computer Registers
  • Computer Instructions
  • Timing and Control
  • Instruction Cycle
  • Memory-Reference Instructions
  • Input-Output Interrupt
  • Complete Computer Description
  • Basic Computer Design
  • Accumulator Logic
  • Central Processing Unit
  • General Register Organization
  • Stack Organization
  • Instruction Formats
  • Addressing Modes
  • Data Transfer
  • Data Manipulation
  • Program Control
  • RISC
  • CISC
  • Parallel Processing
  • Pipelining
  • Arithmetic Pipeline
  • Instruction Pipeline
  • RISC Pipeline
  • Peripheral Devices
  • Input-Output Interface
  • Asynchronous Data Transfer
  • Modes of Transfer
  • Priority Interrupt
  • Direct Memory Access
  • Input-Output Processor
  • Memory Hierarchy
  • Main Memory
  • Auxiliary Memory
  • Associative Memory
  • Cache Memory
  • Virtual Memory
  • Memory Management Hardware

One batch. A complete semester learning experience.

Batch Features

Everything You Need to Learn, Practice & Progress

A structured learning experience with live classes, recorded lessons, practice resources and complete academic support for your BCA Semester 1 journey.

01
LIVE

Live Interactive Classes

Attend structured live classes where concepts are explained step by step with examples, problem solving and real-time interaction.

● LIVE CLASSES

02
REWATCH

Recorded Class Access

Missed a live class? Revisit the recorded lessons and learn at your own pace whenever you need to revise a concept.

▶ REWATCH ANYTIME

03
3 Major Subjects

Complete Semester Coverage

Focused preparation for the core BCA Semester 1 major subjects covered in the program.

04

CODE

C Programming from Basics

Build a strong programming foundation through Problem Solving Techniques, C programming concepts, examples and structured practice.

05

MATH

Mathematics Foundation

Learn the mathematical concepts required for Computer Science with a structured and problem-oriented approach.

06

SYSTEMS

Computer Architecture

Understand the fundamentals of computer organization, digital concepts, CPU, memory and architecture through structured lessons.

07

PRACTICE

Regular Practice & Problem Solving

Strengthen your concepts through examples, programming problems, exercises and structured practice alongside the classes.

08
SUPPORT

Doubt Support

Get help when you are stuck. Ask questions related to class topics, programming problems and course concepts.

ASK. UNDERSTAND. MOVE FORWARD.

09
FREE BONUS

Free Notes for Every Subject

Supplementary notes for the other Semester 1 subjects are provided as a bonus for enrolled students.

10

REVISION

Revision & Exam Support

Revise important concepts systematically with focused revision resources and exam-oriented guidance throughout the semester.

Built for Your Semester 1 Journey

Learn through live classes, revisit recorded lessons, practice regularly, clear your doubts and stay organized throughout the semester. Flexible full-semester and installment payment options are available when you enroll.

Explore the Course

Bonus

Free Notes for Every Student

Your learning doesn't stop with the major subjects. Students will also receive free study materials for the remaining Semester 1 subjects.

Free Notes

General English - I

Available for Students

Free Notes

Indian Knowledge System

Available for Students

Free Notes

Environmental Science and Sustainability

Available for Students

Free Notes

Additional Language / Optional Course

Available for Students

Enrollment

Choose Your Payment Plan

Select the plan that works best for you, then continue to the QR payment step.

Best Value

Option 1 - Full Semester

₹4,999

One-Time Payment

Pay once and get access to the complete Semester 1 course.

Option 2 - Two Installments

₹2,499 × 2

Two Installments

Split your Semester 1 course fee into two convenient installments.

Coupon Code

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₹4,999₹3,599

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Payment Summary

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Full Semester - One-Time Payment

Amount

₹4,999

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FAQ

Frequently Asked Questions

Quick answers about the course, subjects, payments, and admission.

This is a structured Semester 1 learning program focused on the core technical subjects that build the foundation of your BCA journey, along with supporting academic resources. Students also receive free study materials for the remaining Semester 1 subjects.

The program focuses on three major subjects: Mathematics Foundation to Computer Science - I, Problem Solving Techniques, and Computer Architecture. Free notes are also provided for General English - I, Indian Knowledge System, Environmental Science and Sustainability, and Additional Language / Optional Course.

Yes. This course is AICTE UG curriculum based.

There are two payment options: a one-time full semester payment of ₹4,999, or two installments of ₹2,499 each. A coupon code may also be available for the full semester plan.

Yes. You can split your Semester 1 course fee into two installments of ₹2,499 each.

After completing your payment, use the admission form CTA on this page to complete your admission. Your course enrollment will be processed after payment verification.

Yes. Free notes are provided for every student for the remaining Semester 1 subjects: General English - I, Indian Knowledge System, Environmental Science and Sustainability, and Additional Language / Optional Course.