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BCA in General at Galgotias University
Gautam Buddh Nagar, Uttar Pradesh
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About the Specialization
What is General at Galgotias University Gautam Buddh Nagar?
This Bachelor of Computer Applications (BCA) program at Galgotias University focuses on providing a strong foundation in computer science and its applications. It is designed to equip students with core programming skills, data management expertise, and an understanding of modern computing technologies. The curriculum is regularly updated to align with the dynamic needs of the Indian IT industry, ensuring graduates are job-ready and competitive.
Who Should Apply?
This program is ideal for 10+2 graduates with a keen interest in computer science and a foundational understanding of mathematics. It caters to individuals aspiring for entry-level roles in software development, web design, or database administration. Working professionals seeking a career change into IT or aiming to upskill in specific computing domains will also find this program beneficial for advancing their technical knowledge and career prospects in India.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including roles such as Software Developer, Web Designer, Database Administrator, and Junior Data Analyst. Entry-level salaries typically range from INR 3-5 LPA, with experienced professionals earning significantly more. The program’s strong practical focus aids in securing placements in leading IT firms and tech startups, offering robust growth trajectories within the rapidly expanding Indian tech landscape.
Student Success Practices
Foundation Stage
Master Programming Fundamentals Early- (Semester 1-2)
Dedicate significant time to mastering foundational programming languages like C and data structures. Actively solve problems from textbooks and online platforms to solidify logical thinking. Engage in peer coding sessions to learn from different approaches and improve debugging skills.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, Online C Compilers
Career Connection
A strong grasp of fundamentals is crucial for coding interviews and forms the bedrock for advanced subjects, directly impacting placement readiness for development roles.
Build Strong Communication & Aptitude Skills- (Semester 1-2)
Actively participate in communication skills labs and extra-curricular activities like debates or public speaking. Simultaneously, start practicing aptitude and logical reasoning questions regularly. Focus on improving verbal ability and quantitative skills essential for campus recruitment tests.
Tools & Resources
YouTube tutorials, Online aptitude portals like IndiaBix, Newspapers for current affairs
Career Connection
Excellent communication is vital for group discussions and HR interviews, while strong aptitude is a prerequisite for cracking initial screening rounds during placements.
Understand Computer Hardware & Software Basics- (Semester 1-2)
Beyond theoretical knowledge, try to understand how computer components interact and the basic workings of an operating system. Experiment with installing different software, configuring basic networks, and troubleshooting common issues to gain practical insights into system architecture.
Tools & Resources
VirtualBox/VMware, Linux OS distributions, Online hardware guides
Career Connection
This practical understanding helps in roles related to system administration, IT support, and understanding the performance implications of software design.
Intermediate Stage
Specialize through Electives and Projects- (Semester 3-5)
Strategically choose electives based on emerging industry trends and personal interest, like Data Science, Mobile App Development, or AI. Complement these with mini-projects or open-source contributions in your chosen area. Aim to build a portfolio of diverse projects demonstrating practical skills.
Tools & Resources
GitHub, Kaggle, Android Studio, Python libraries (Pandas, NumPy, Scikit-learn)
Career Connection
Specialized skills and a strong project portfolio are key differentiators for internships and targeted job roles in specialized domains like AI/ML or App Development.
Engage in Internships and Industry Workshops- (Semester 3-5)
Actively seek out internships during summer breaks or part-time. Even short-term internships provide invaluable real-world exposure and networking opportunities. Attend industry workshops and webinars to stay updated on technology advancements and connect with professionals.
Tools & Resources
LinkedIn, Internshala, College placement cell, Industry meetups
Career Connection
Internships are often a direct pathway to pre-placement offers and provide practical experience highly valued by recruiters. Networking can open doors to future career opportunities.
Participate in Coding Competitions & Hackathons- (Semester 3-5)
Regularly participate in coding competitions on platforms like CodeChef and HackerRank, or join hackathons. These events not only sharpen your problem-solving skills under pressure but also expose you to team collaboration and innovative project development. Winning or strong performance adds significant value to your resume.
Tools & Resources
CodeChef, HackerRank, Devpost, Local tech community groups
Career Connection
Success in competitive programming demonstrates exceptional problem-solving abilities, which is a major plus for top tech companies and startups during recruitment.
Advanced Stage
Develop a Capstone Project with Real-World Impact- (Semester 6)
Undertake a major project that addresses a genuine problem or leverages advanced technologies learned. Focus on a complete software development lifecycle, from requirements to deployment. This project should be a highlight of your resume and a strong talking point in interviews.
Tools & Resources
Full-stack frameworks (e.g., MERN/MEAN), Cloud platforms (AWS, Azure, GCP), Version control (Git)
Career Connection
A well-executed major project demonstrates your ability to apply comprehensive knowledge, work independently or in a team, and deliver a functional product, highly attractive to employers.
Intensive Placement Preparation & Mock Interviews- (Semester 6)
Start rigorous preparation for placements well in advance. Practice coding questions, revise core computer science concepts, and prepare for technical and HR interview rounds. Engage in mock interviews with peers and faculty to refine your communication and confidence.
Tools & Resources
LeetCode, Interviews/GeeksforGeeks, Career Services Cell, Mock interview platforms
Career Connection
Thorough preparation ensures you perform optimally in all stages of the recruitment process, increasing your chances of securing desirable placements.
Build a Professional Online Presence- (Semester 5-6)
Create and maintain a professional LinkedIn profile, showcasing your skills, projects, and certifications. Contribute actively to GitHub with your project code. A strong online presence helps recruiters find you and validates your technical capabilities and commitment to the field.
Tools & Resources
LinkedIn, GitHub, Personal portfolio website
Career Connection
An impressive online presence acts as a living resume, providing tangible proof of your abilities and potentially leading to direct recruitment inquiries from companies.
Program Structure and Curriculum
Eligibility:
- Min. 50% in 10+2 with Maths as one of the subjects / P.C.M. or Computer Science / Informatics Practices / Computer Applications / Multimedia & Web Technology / Data Management Application / Web Application / IT
Duration: 3 years (6 semesters)
Credits: 112 Credits
Assessment: Internal: 30-40%, External: 60-70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA101 | PROGRAMMING IN C | Core | 3 | Introduction to C Programming, Data Types, Operators, Expressions, Control Flow Statements, Functions and Arrays, Pointers and Strings, Structures, Unions, File I/O |
| BCA102 | COMPUTER FUNDAMENTALS & OFFICE AUTOMATION | Core | 3 | Introduction to Computers, Input/Output Devices & Memory, Operating System Concepts, MS Word: Document Creation & Formatting, MS Excel: Spreadsheets & Data Analysis, MS PowerPoint: Presentations |
| BCA103 | DIGITAL ELECTRONICS | Core | 3 | Number Systems and Codes, Boolean Algebra and Logic Gates, Combinational Logic Circuits, Sequential Logic Circuits, Registers and Counters, Memory Devices |
| BCA104 | DISCRETE MATHEMATICS | Core | 3 | Sets, Relations, Functions, Mathematical Logic, Counting Principles and Probability, Graph Theory, Trees and Boolean Algebra |
| BCA105 | COMMUNICATION SKILLS | Generic/Foundation | 2 | Basics of Communication, Verbal and Non-verbal Communication, Listening Skills, Presentation Skills, Group Discussions and Interviews |
| BCA151 | PROGRAMMING IN C LAB | Lab | 1 | Programming exercises based on C language, Implementing control structures, Working with arrays and functions, File handling operations, Debugging C programs |
| BCA152 | OFFICE AUTOMATION LAB | Lab | 1 | Hands-on with MS Word features, Creating spreadsheets with MS Excel, Developing presentations using MS PowerPoint, Data organization and analysis practice, Mail merge and document automation |
| BCA153 | DIGITAL ELECTRONICS LAB | Lab | 1 | Verification of logic gates, Implementation of combinational circuits, Building sequential circuits, Designing basic digital systems, Troubleshooting digital circuits |
| BCA154 | COMMUNICATION SKILLS LAB | Lab | 1 | Role-playing and mock interviews, Presentation practice sessions, Group discussion techniques, Public speaking exercises, Resume and cover letter writing |
| BCA106 | VALUE EDUCATION | Generic/Foundation | 1 | Human Values and Ethics, Moral Development Theories, Personal and Social Responsibilities, Professional Ethics, Importance of Value-Based Living |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA201 | DATA STRUCTURES | Core | 3 | Arrays and Linked Lists, Stacks and Queues, Trees (Binary, BST), Graphs and Traversal Algorithms, Sorting and Searching Algorithms |
| BCA202 | WEB TECHNOLOGY | Core | 3 | Introduction to Web Technologies, HTML, CSS Fundamentals, JavaScript Basics, DOM Manipulation, XML and AJAX concepts |
| BCA203 | ORGANIZATIONAL BEHAVIOUR | Generic/Foundation | 3 | Introduction to Organizational Behavior, Perception and Learning, Motivation Theories, Group Dynamics and Team Building, Leadership and Conflict Management |
| BCA204 | ENVIRONMENTAL STUDIES | Generic/Foundation | 2 | Ecosystems and Biodiversity, Natural Resources and their Management, Environmental Pollution and Control, Social Issues and the Environment, Environmental Protection Acts |
| BCA205 | COMPUTER SYSTEM ARCHITECTURE | Core | 3 | Basic Computer Organization, Central Processing Unit (CPU), Memory Organization, Input-Output Organization, Pipelining and Parallel Processing |
| BCA251 | DATA STRUCTURES LAB | Lab | 1 | Implementation of arrays and linked lists, Practicing stack and queue operations, Building and traversing trees, Implementing sorting and searching algorithms, Graph representation and traversal |
| BCA252 | WEB TECHNOLOGY LAB | Lab | 1 | Designing web pages using HTML, Styling with CSS, Interactive web elements with JavaScript, Client-side scripting exercises, Responsive web design principles |
| BCA253 | COMPUTER SYSTEM ARCHITECTURE LAB | Lab | 1 | Assembly language programming concepts, Simulation of basic CPU operations, Memory interfacing exercises, I/O device control programming, Computer arithmetic operations |
| BCA206 | CONSTITUTION OF INDIA | Generic/Foundation | 1 | Preamble, Fundamental Rights and Duties, Directive Principles of State Policy, Structure and Functions of Union Government, State Government and Local Administration, Constitutional Amendments and Emergency Provisions |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA301 | DATABASE MANAGEMENT SYSTEM | Core | 3 | Introduction to DBMS, Relational Model, SQL Queries, Database Design (ER Model, Normalization), Transaction Management, Concurrency Control and Recovery |
| BCA302 | OBJECT ORIENTED PROGRAMMING USING C++ | Core | 3 | OOP Concepts (Class, Object, Encapsulation), Constructors, Destructors, Friend Functions, Inheritance and Polymorphism, Operator Overloading, Templates and Exception Handling |
| BCA303 | OPERATING SYSTEMS | Core | 3 | Introduction to Operating Systems, Process Management and Scheduling, CPU Scheduling Algorithms, Memory Management Techniques, File Systems and I/O Management |
| BCA304 | COMPUTER NETWORKS | Core | 3 | Network Topologies and Models (OSI, TCP/IP), Physical and Data Link Layer Protocols, Network Layer (IP Addressing, Routing), Transport Layer (TCP, UDP), Application Layer Protocols (HTTP, DNS, FTP) |
| BCA351 | DATABASE MANAGEMENT SYSTEM LAB | Lab | 1 | SQL DDL and DML commands, Database creation and manipulation, Advanced SQL queries (joins, subqueries), PL/SQL programming basics, Report generation using SQL |
| BCA352 | OBJECT ORIENTED PROGRAMMING USING C++ LAB | Lab | 1 | Implementing classes and objects, Practicing inheritance and polymorphism, Operator overloading exercises, File I/O and exception handling in C++, STL library usage |
| BCA353 | OPERATING SYSTEMS LAB | Lab | 1 | Basic Linux commands and shell scripting, Process management utilities, CPU scheduling algorithm simulations, Memory allocation strategies, Deadlock detection and avoidance |
| BCA354 | COMPUTER NETWORKS LAB | Lab | 1 | Network configuration basics, Socket programming (TCP/UDP), Network packet analysis tools, Implementing client-server applications, Network security tools |
| BCA305 | UNIVERSAL HUMAN VALUES & ETHICS | Generic/Foundation | 1 | Self-Exploration and Happiness, Harmony in Family and Society, Harmony in Nature and Existence, Professional Ethics and Code of Conduct, Holistic Development and Living |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA401 | SOFTWARE ENGINEERING | Core | 3 | Software Development Life Cycle Models, Software Requirements Analysis and Specification, Software Design Principles and Patterns, Software Testing Strategies and Techniques, Software Project Management and Estimation |
| BCA402 | ARTIFICIAL INTELLIGENCE | Core | 3 | Introduction to AI and its Applications, Problem Solving with AI (Search Algorithms), Knowledge Representation Techniques, Machine Learning Concepts, Natural Language Processing basics |
| BCA403 | PYTHON PROGRAMMING | Core | 3 | Python Fundamentals and Data Types, Data Structures in Python (Lists, Tuples, Dictionaries), Functions, Modules, and Packages, Object-Oriented Programming in Python, File I/O and Exception Handling |
| BCA404 | DATA WAREHOUSING & DATA MINING | Core | 3 | Data Warehouse Architecture and Components, OLAP Operations and Multidimensional Models, Introduction to Data Mining Concepts, Classification and Prediction Techniques, Clustering and Association Rule Mining |
| BCA451 | SOFTWARE ENGINEERING LAB | Lab | 1 | UML diagrams for software modeling, Case studies on software requirements, Developing design documents, Software testing plan execution, Version control system usage |
| BCA452 | ARTIFICIAL INTELLIGENCE LAB | Lab | 1 | Implementing search algorithms in Python, Basic AI game development, Knowledge representation experiments, Introduction to AI libraries (e.g., NLTK), Simple expert system development |
| BCA453 | PYTHON PROGRAMMING LAB | Lab | 1 | Python programming exercises, Scripting for data manipulation, Building small Python applications, Web scraping basics using Python, Data visualization with Matplotlib/Seaborn |
| BCA454 | DATA WAREHOUSING & DATA MINING LAB | Lab | 1 | Data extraction and transformation tools, OLAP operations practice, Using data mining software (e.g., Weka), Implementing classification and clustering, Association rule generation |
| BCA405 | APTITUDE & REASONING I | Generic/Foundation | 1 | Numerical Ability: Percentages, Ratios, Time & Work, Logical Reasoning: Blood Relations, Coding-Decoding, Verbal Ability: Synonyms, Antonyms, Sentence Correction, Data Interpretation: Tables, Graphs, Charts, Problem-solving strategies |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA501 | JAVA PROGRAMMING | Core | 3 | Java Fundamentals, OOP in Java, Exception Handling, Multithreading, I/O Streams, Networking Concepts, Applets and AWT for GUI, JDBC for Database Connectivity, Servlets basics |
| BCA502 | DATA SCIENCE | Core | 3 | Introduction to Data Science Workflow, Data Collection and Preprocessing, Exploratory Data Analysis (EDA), Statistical Methods for Data Science, Introduction to Machine Learning Algorithms |
| BCA503 | MOBILE APPLICATION DEVELOPMENT | Core | 3 | Introduction to Mobile App Development, Android Architecture and Development Setup, UI Design and Layouts in Android, Activities, Intents, and Fragments, Data Storage and Networking in Android |
| BCA504A | ELECTIVE I (Cloud Computing) | Elective | 3 | Introduction to Cloud Computing, Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models (Public, Private, Hybrid), Virtualization Technologies, Cloud Security and Data Privacy, Cloud infrastructure management |
| BCA505A | ELECTIVE II (Big Data Analytics) | Elective | 3 | Introduction to Big Data Concepts, Hadoop Ecosystem (HDFS, MapReduce), NoSQL Databases (Cassandra, MongoDB), Big Data Technologies (Hive, Pig, Spark), Data Stream Processing, Big Data Visualization |
| BCA551 | JAVA PROGRAMMING LAB | Lab | 1 | Developing Java applications with OOP principles, Implementing exception handling and multithreading, Creating GUI applications using AWT/Swing, Connecting to databases using JDBC, Socket programming in Java |
| BCA552 | DATA SCIENCE LAB | Lab | 1 | Data cleaning and preprocessing with Python libraries, Performing EDA using visualization tools, Implementing basic statistical tests, Building and evaluating simple machine learning models, Time series analysis basics |
| BCA553 | MOBILE APPLICATION DEVELOPMENT LAB | Lab | 1 | Designing user interfaces for Android apps, Developing interactive activities and fragments, Implementing data storage options (SQLite, Shared Preferences), Integrating APIs for network communication, Debugging and testing mobile applications |
| BCA554 | APTITUDE & REASONING II | Generic/Foundation | 1 | Advanced Numerical Ability (P&C, Probability, Mixtures), Advanced Logical Reasoning (Syllogisms, Seating Arrangement), Critical Reasoning and Decision Making, Verbal Ability: Reading Comprehension, Para Jumbles, Mock tests and interview preparation |
| BCA555 | PROJECT (MINOR) | Project | 2 | Project identification and scope definition, Requirement analysis and design, Module implementation and testing, Documentation and project report writing, Presentation and demonstration |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BCA601 | MANAGEMENT INFORMATION SYSTEM | Core | 3 | Introduction to Management Information Systems, Role of Information Systems in Business, Database Management for MIS, Decision Support Systems and Expert Systems, E-commerce and Global MIS, Information Security in MIS |
| BCA602 | INDUSTRIAL TRAINING | Project | 2 | On-the-job training and practical exposure, Application of theoretical knowledge in industry, Learning new technologies and tools, Developing professional work ethics and communication, Submission of training report and presentation, Problem-solving in real-world scenarios |
| BCA603 | MAJOR PROJECT | Project | 10 | Comprehensive system analysis and design, Full-stack development of a software application, Advanced testing and debugging, Detailed project report and documentation, Final presentation and viva-voce, Deployment and maintenance strategies |
| BCA604 | SEMINAR | Seminar | 1 | Researching contemporary IT topics, Developing comprehensive presentation content, Enhancing public speaking and communication skills, Engaging in technical discussions, Critical analysis of recent advancements, Audience engagement techniques |
| BCA605B | ELECTIVE III (Machine Learning) | Elective | 3 | Introduction to Machine Learning Paradigms, Supervised Learning: Regression and Classification, Unsupervised Learning: Clustering Techniques, Deep Learning Basics and Neural Networks, Model Evaluation and Hyperparameter Tuning, Bias-variance tradeoff |
