.png&w=1920&q=75)
BACHELOR-OF-SCIENCE in Computer Science at Dr. Ram Manohar Lohia Mahavidyalaya, Purwa Sujan
Auraiya, Uttar Pradesh
.png&w=1920&q=75)
About the Specialization
What is Computer Science at Dr. Ram Manohar Lohia Mahavidyalaya, Purwa Sujan Auraiya?
This Bachelor of Science in Computer Science program at Dr. Ram Manohar Lohia Mahavidyalaya, affiliated with CSJMU, offers a robust foundation in computing principles and applications. Designed under the NEP 2020 framework, it equips students with essential programming, data management, and problem-solving skills crucial for the rapidly evolving Indian IT landscape. The curriculum blends theoretical knowledge with practical lab experience, preparing graduates for diverse roles in the tech sector.
Who Should Apply?
This program is ideal for recent 10+2 Science graduates eager to build a career in technology and software development. It suits individuals with a logical aptitude and keen interest in programming, data analysis, or network management. Aspiring IT professionals, budding software developers, and those seeking a strong academic base for further studies in computer applications or engineering will find this program beneficial.
Why Choose This Course?
Graduates of this program can expect to pursue various career paths within India''''s booming IT industry, including Junior Software Developer, Web Designer, Database Administrator, or IT Support Specialist. Entry-level salaries typically range from INR 2.5 LPA to 4.5 LPA, with significant growth potential up to INR 8-12 LPA for experienced professionals. The curriculum also lays a strong groundwork for postgraduate studies like MCA or M.Sc. Computer Science.
Student Success Practices
Foundation Stage
Master C Programming Fundamentals- (Semester 1-2)
Dedicate consistent time to practice C programming exercises. Focus on understanding concepts like pointers, arrays, and functions thoroughly. Solve at least 3-5 coding problems daily from textbooks or online platforms to build a strong logical base.
Tools & Resources
GeeksforGeeks C Tutorials, CodeChef for basic problems, NPTEL videos for conceptual clarity
Career Connection
Proficiency in C is foundational for many programming languages and directly aids in securing entry-level software development or coding roles during placements.
Build Strong Data Structures & Algorithms (DSA) Skills- (Semester 1-2)
Actively implement all data structures and algorithms learned in class. Participate in online coding challenges focused on DSA to enhance problem-solving speed and accuracy. Collaborate with peers on complex algorithm implementations.
Tools & Resources
HackerRank, LeetCode (easy problems), Study groups for collaborative learning
Career Connection
DSA is critical for technical interviews in top IT companies in India. Strong DSA skills significantly boost your chances for better placement opportunities.
Engage in Early Project Development- (Semester 1-2)
Start working on small, personal projects using C. This could be a simple calculator, a game, or a basic data management system. Focus on applying theoretical knowledge to practical scenarios. Document your code and project progress.
Tools & Resources
GitHub for version control, VS Code or Code::Blocks IDE, Online C project tutorials
Career Connection
Early project experience adds valuable entries to your resume, demonstrating practical application of skills and a proactive learning attitude, highly valued by Indian recruiters.
Intermediate Stage
Deep Dive into Object-Oriented Programming with Java- (Semester 3-4)
Beyond classroom assignments, develop small-to-medium scale Java applications focusing on OOP principles. Explore GUI development using AWT/Swing and practice handling exceptions and multithreading. Aim to build a functional desktop application.
Tools & Resources
Eclipse or IntelliJ IDEA, Oracle Java Documentation, Saurabh Shukla''''s Java tutorials
Career Connection
Java is widely used in enterprise applications in India. Strong Java skills open doors to roles as Java Developers or Android Developers in various MNCs and startups.
Master Database Management Systems (DBMS) and SQL- (Semester 3-4)
Practice designing relational databases and writing complex SQL queries. Install and work with open-source DBMS like MySQL or PostgreSQL. Develop mini-projects that involve database integration with your Java applications.
Tools & Resources
MySQL Workbench, W3Schools SQL tutorial, phpMyAdmin
Career Connection
Proficiency in DBMS and SQL is crucial for roles like Database Administrator, Data Analyst, or Backend Developer, with high demand in India''''s data-driven economy.
Seek Mini-Internships or Workshops- (Semester 3-4)
Look for local IT companies or startups offering short-term internships or participate in university-organized workshops. This provides early exposure to professional work environments and industry practices in India. Focus on learning industry tools and teamwork.
Tools & Resources
Internshala, LinkedIn Jobs, University Career Services
Career Connection
These experiences are invaluable for resume building, networking, and understanding industry expectations, leading to better full-time placement opportunities.
Advanced Stage
Specialize through Electives and Advanced Projects- (Semester 5-6)
Choose electives strategically based on your career interests (e.g., Data Science, AI, Web Development). Undertake a significant final year project aligning with your specialization, aiming for a real-world problem solution or an innovative prototype. Form teams for collaborative project work.
Tools & Resources
Kaggle for datasets (Data Science), TensorFlow/PyTorch (AI), GitHub for team projects
Career Connection
Specialized knowledge makes you a targeted candidate for specific roles like Data Scientist, AI Engineer, or Full-stack Developer, commanding higher salaries and better growth in the Indian market.
Intensive Placement Preparation- (Semester 5-6)
Begin rigorous preparation for campus placements or off-campus job applications. Practice aptitude tests, mock interviews (technical and HR), and develop a professional resume and LinkedIn profile. Network with alumni and industry professionals for guidance.
Tools & Resources
Online aptitude platforms, InterviewBit, Glassdoor for company interview experiences
Career Connection
Comprehensive preparation is key to securing desirable placements in reputed Indian companies and kickstarting a successful career immediately after graduation.
Explore Industry Certifications and Higher Education Options- (Semester 5-6)
Consider pursuing industry-recognized certifications relevant to your chosen specialization (e.g., AWS Cloud Practitioner, Google AI Engineer). Research and prepare for entrance exams for higher education (e.g., NIMCET for MCA, GATE for M.Tech) if advanced academic pursuits are desired.
Tools & Resources
Coursera, edX for online courses/certifications, Official exam websites for syllabus and past papers
Career Connection
Certifications boost employability and demonstrate specialized expertise, while higher education opens doors to research, senior roles, and academic careers within India and abroad.
Program Structure and Curriculum
Eligibility:
- 10+2 with Science stream (Physics, Chemistry, Mathematics or Biology) or equivalent from a recognized board.
Duration: 3 years / 6 semesters
Credits: 54 (for Computer Science Major subjects) Credits
Assessment: Internal: 25%, External: 75%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C030101T | Introduction to Computer & Programming in C | Core Theory | 4 | Fundamentals of Computer Systems, Number Systems and Data Representation, Operating System Concepts, Algorithms, Flowcharts, and Problem Solving, C Language Basics: Data Types, Operators, Control Structures, Functions, Arrays, Pointers |
| C030102P | Problem Solving Using C Lab | Core Practical | 2 | C Programming for basic input/output, Implementation of conditional statements, Looping constructs and array manipulation, Function creation and calling, Pointer usage and string operations |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C030201T | Data Structures Using C | Core Theory | 4 | Introduction to Data Structures, Arrays and their applications, Stacks and Queues: operations and implementations, Linked Lists: singly, doubly, circularly, Trees: Binary, BST, traversal methods, Sorting and Searching Algorithms |
| C030202P | Data Structures Using C Lab | Core Practical | 2 | C implementation of Stacks and Queues, Linked List operations, Binary Search Tree implementation, Graph representation and traversal, Implementation of sorting algorithms, Searching techniques in C |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C030301T | Object Oriented Programming Using Java | Core Theory | 4 | OOP Concepts: Classes, Objects, Abstraction, Encapsulation, Inheritance, Polymorphism, Java Basics: Data Types, Operators, Control Structures, Packages and Interfaces, Exception Handling, Multithreading, Applet Programming |
| C030302P | Object Oriented Programming Using Java Lab | Core Practical | 2 | Java program development for OOP concepts, Class and object creation exercises, Implementation of inheritance and polymorphism, Package and interface usage, Exception handling in Java, GUI programming with AWT/Swing |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C030401T | Database Management System | Core Theory | 4 | Introduction to DBMS and its architecture, Data Models: ER Model, Relational Model, Relational Algebra and Calculus, Structured Query Language (SQL), Normalization and Dependency Theory, Transaction Management, Concurrency Control, Recovery |
| C030402P | Database Management System Lab | Core Practical | 2 | SQL DDL commands: Create, Alter, Drop, SQL DML commands: Insert, Update, Delete, SQL Querying: Select, Join, Aggregate functions, Database design using ER diagrams, Transaction control commands, User and privilege management |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C030501AT | Computer Networks | Elective Theory | 4 | Introduction to Network Concepts, Network Topologies and Devices, OSI and TCP/IP Reference Models, Data Link Layer Protocols, Network Layer: IP Addressing, Routing, Transport and Application Layer Protocols |
| C030501BT | Operating System | Elective Theory | 4 | Introduction to Operating Systems, Process Management and CPU Scheduling, Deadlocks: prevention and avoidance, Memory Management Techniques, Virtual Memory and Paging, File Systems and I/O Management |
| C030501CT | Web Designing | Elective Theory | 4 | Introduction to Web Technologies, HTML: Structure and Elements, CSS: Styling Web Pages, JavaScript: Client-side Scripting, Web Servers and Hosting, Responsive Web Design Principles |
| C030501DT | Python Programming | Elective Theory | 4 | Python Language Fundamentals, Data Types, Operators, Expressions, Control Flow: If-else, Loops, Functions, Modules, Packages, File Handling and I/O, Object-Oriented Programming in Python |
| C030502AP | Computer Networks Lab | Elective Practical | 2 | Network configuration and troubleshooting, TCP/UDP socket programming, Client-server application development, Packet analysis using tools like Wireshark, Network security concepts, Basic routing and switching commands |
| C030502BP | Operating System Lab | Elective Practical | 2 | Shell scripting and command line utilities, Process creation and management, CPU scheduling algorithm simulations, Memory management simulations, Inter-process communication, Synchronization problems implementation |
| C030502CP | Web Designing Lab | Elective Practical | 2 | Creating web pages with HTML5, Styling with CSS3: Flexbox, Grid, Implementing interactivity with JavaScript, Form validation techniques, Integrating multimedia elements, Deployment of static websites |
| C030502DP | Python Programming Lab | Elective Practical | 2 | Writing basic Python scripts, Working with lists, tuples, dictionaries, Functions and lambda expressions, File input/output operations, Implementing classes and objects, Using popular Python libraries for data manipulation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| C030601AT | Data Science | Elective Theory | 4 | Introduction to Data Science Workflow, Data Collection and Preprocessing, Exploratory Data Analysis and Visualization, Statistical Methods for Data Analysis, Machine Learning Algorithms: Regression, Classification, Introduction to Deep Learning Concepts |
| C030601BT | Computer Graphics | Elective Theory | 4 | Overview of Computer Graphics Systems, Output Primitives: Line, Circle Drawing Algorithms, 2D Geometric Transformations, 3D Concepts and Object Representation, Viewing and Clipping Algorithms, Color Models and Shading Techniques |
| C030601CT | Software Engineering | Elective Theory | 4 | Software Development Life Cycle Models, Software Requirements Engineering, Software Design Principles and Patterns, Software Testing Techniques, Software Project Management, Software Quality Assurance and Maintenance |
| C030601DT | Artificial Intelligence | Elective Theory | 4 | Introduction to AI and its Applications, Intelligent Agents and Problem Solving, Search Algorithms: BFS, DFS, A*, Knowledge Representation and Reasoning, Expert Systems and Fuzzy Logic, Introduction to Machine Learning |
| C030602AP | Data Science Lab | Elective Practical | 2 | Data cleaning and transformation using Python, Data visualization with Matplotlib/Seaborn, Implementing basic regression models, Classification algorithm application, Clustering techniques in practice, Working with data analysis libraries like Pandas |
| C030602BP | Computer Graphics Lab | Elective Practical | 2 | Implementing line drawing algorithms (Bresenham''''s), Circle generation algorithms, 2D transformation programs (translation, rotation), Clipping algorithms (Cohen-Sutherland), Simple animation techniques, Interactive graphics programming |
| C030602CP | Software Engineering Lab | Elective Practical | 2 | UML diagramming for software design, Requirements elicitation and documentation, Software project planning tools, Designing test cases and test plans, Version control system usage (Git basics), Case studies of software development projects |
| C030602DP | Artificial Intelligence Lab | Elective Practical | 2 | Implementing search algorithms (BFS, DFS), Developing simple rule-based systems, Solving constraint satisfaction problems, Introduction to logical programming (Prolog), Basic machine learning algorithm implementation, Building small AI applications |
| C030603P | Project Work/Dissertation | Project | 6 | Project Proposal and Planning, System Design and Architecture, Implementation and Coding, Testing and Debugging, Report Writing and Documentation, Project Presentation and Viva-voce |
