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BSC-HONS in Computer Science at P.K. Roy Memorial College, Dhanbad
Dhanbad, Jharkhand
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About the Specialization
What is Computer Science at P.K. Roy Memorial College, Dhanbad Dhanbad?
This Computer Science program at Prasana Kumar Roy Memorial College, Dhanbad focuses on building a strong foundation in core computational principles and modern software development practices. With a curriculum aligned with industry demands in India, the program emphasizes problem-solving, algorithmic thinking, and practical application, preparing students for the rapidly evolving tech landscape. It uniquely blends theoretical knowledge with hands-on experience, making graduates job-ready for various IT roles across the country.
Who Should Apply?
This program is ideal for 10+2 science graduates with a keen interest in programming, logic, and technology, seeking entry into the dynamic IT sector. It also caters to those looking to develop strong analytical and coding skills essential for a career in software development, data analysis, or system administration. Aspiring innovators and tech enthusiasts who want to contribute to India''''s digital transformation will find this program highly beneficial.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including Software Developer, Data Analyst, Web Developer, System Administrator, and IT Support Specialist. Entry-level salaries typically range from INR 2.5 LPA to 5 LPA, with significant growth potential up to INR 8-15 LPA for experienced professionals. The curriculum prepares students for industry-recognized certifications in areas like Python, Java, and Database Management, boosting their employability in leading Indian tech firms and startups.
Student Success Practices
Foundation Stage
Master Programming Fundamentals with Competitive Coding- (Semester 1-2)
Dedicate consistent time to practice C programming concepts (CC-1) and data structures (CC-3) on online platforms. Solve at least 2-3 problems daily to build logical thinking and debugging skills. Focus on understanding algorithm efficiency and memory management early on.
Tools & Resources
CodeChef, HackerRank, GeeksforGeeks for C/Data Structures
Career Connection
Strong fundamentals are crucial for technical interviews, leading to better internship and placement opportunities in entry-level development roles.
Develop Robust Study Habits and Peer Learning Groups- (Semester 1-2)
Form small study groups with peers to discuss complex topics like Discrete Structures (CC-4) and Computer System Architecture (CC-2). Regular brainstorming and problem-solving sessions will clarify doubts and reinforce learning. Active participation in class discussions is also vital.
Tools & Resources
Google Meet/Zoom for group sessions, Textbooks and class notes
Career Connection
Effective teamwork and communication skills developed here are highly valued in corporate environments, improving project collaboration and problem-solving abilities.
Enhance Communication & Environmental Awareness- (Semester 1-2)
Actively engage with AECC subjects like Communicative English and Environmental Studies. Practice public speaking, report writing, and participate in environmental awareness campaigns. These skills broaden your perspective and improve soft skills essential for professional interactions.
Tools & Resources
Toastmasters clubs (if available), English grammar apps, Environmental NGOs
Career Connection
Excellent communication is key for client interactions, presentations, and team management, while environmental awareness demonstrates responsible citizenship, an increasingly important corporate value.
Intermediate Stage
Apply Skills through Mini-Projects and Internships- (Semester 3-5)
Beyond lab work, initiate small personal projects using Java (CC-6), Python (SEC-1), or Android (SEC-2). Aim for at least one internship during summer breaks (after Sem 2 or 4) to gain practical industry exposure and apply theoretical knowledge. Focus on building a portfolio.
Tools & Resources
GitHub for project hosting, LinkedIn for internship search, Udemy/Coursera for project ideas
Career Connection
Practical experience and a project portfolio significantly increase chances of securing placements and give a competitive edge in interviews for software development roles.
Deep Dive into Core CS Concepts and DSA- (Semester 3-5)
Intensify focus on Operating Systems (CC-5), Computer Networks (CC-7), Database Management Systems (CC-9), and Design & Analysis of Algorithms (CC-8). Regularly solve advanced Data Structures and Algorithms problems, understanding their real-world applications. Participate in competitive programming contests.
Tools & Resources
LeetCode, HackerEarth, Standard textbooks like ''''Operating System Concepts'''' by Galvin
Career Connection
Mastery of these core subjects is foundational for roles in system architecture, network engineering, database administration, and high-performance computing, often tested in advanced technical rounds.
Explore Open Source Contributions and Hackathons- (Semester 3-5)
Start contributing to open-source projects relevant to your learning, or participate in hackathons (local or online). This exposes you to real-world codebases, collaborative development, and problem-solving under pressure, while building a network.
Tools & Resources
GitHub Explore, Devfolio, Major League Hacking (MLH) events
Career Connection
Open-source contributions and hackathon wins are excellent resume builders, showcasing initiative, coding skills, and ability to work in teams, which are highly attractive to recruiters.
Advanced Stage
Specialize and Build Industry-Relevant Projects- (Semester 6)
Leverage DSE courses like AI, Data Science, or Machine Learning to specialize. Develop substantial projects that solve real-world problems using these technologies. Aim for projects that demonstrate complex problem-solving and technical depth, ideally for a capstone project (DSE-4).
Tools & Resources
Kaggle for datasets, TensorFlow/PyTorch, AWS/GCP Free Tier for cloud deployment
Career Connection
Specialized projects highlight expertise, making you a strong candidate for specific roles like AI Engineer, Data Scientist, or Machine Learning Engineer, often leading to higher package offers.
Intensive Placement Preparation and Mock Interviews- (Semester 6)
Start rigorous placement preparation at the beginning of the final year. Practice aptitude tests, revise all core CS subjects, and participate in mock interviews (technical and HR). Work on communication and presentation skills, especially for your DSE project.
Tools & Resources
IndiaBix for aptitude, InterviewBit, College placement cell resources, Glassdoor for company-specific interview questions
Career Connection
Thorough preparation directly translates into successful placements, helping secure coveted positions in leading tech companies with competitive salaries.
Network Professionally and Seek Mentorship- (Semester 6)
Attend industry workshops, seminars, and career fairs (online/offline). Connect with alumni and professionals on platforms like LinkedIn. Seek mentorship to gain insights into career paths, industry trends, and job search strategies. This helps in career planning beyond immediate placements.
Tools & Resources
LinkedIn, Professional conferences (e.g., TechGig), college alumni network
Career Connection
A strong professional network opens doors to referrals, mentorship opportunities, and hidden job markets, aiding long-term career growth and advancement in the tech industry.
Program Structure and Curriculum
Eligibility:
- Intermediate (10+2) with Physics, Chemistry, and Mathematics/Computer Science (as per Prasana Kumar Roy Memorial College website)
Duration: 3 years / 6 semesters
Credits: 140 Credits
Assessment: Internal: 25%, External: 75%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CC-1 | Programming using C | Core Theory | 4 | Introduction to C Programming, Data Types, Operators and Expressions, Control Flow Statements, Functions and Recursion, Arrays, Pointers and Strings, Structures, Unions and File Handling |
| CC-1P | Programming using C Lab | Core Practical | 2 | C Program implementation for basic operations, Conditional statements and loops practice, Functions and array manipulations, String operations and pointer usage, Structures and file handling exercises |
| CC-2 | Computer System Architecture | Core Theory | 6 | Digital Logic Circuits, Basic Computer Organization and Design, Central Processing Unit, Programming the Basic Computer, Input-Output Organization, Memory Organization |
| GE-1 | General Elective - 1 | General Elective | 6 | |
| AECC-1 | Environmental Studies | Ability Enhancement Compulsory Course | 2 | Multidisciplinary nature of environmental studies, Natural resources and associated problems, Ecosystems and biodiversity, Environmental pollution and control, Social issues and the environment, Human population and the environment |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CC-3 | Data Structures | Core Theory | 4 | Introduction to Data Structures, Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Sorting and Searching Techniques, Hashing |
| CC-3P | Data Structures Lab | Core Practical | 2 | Array and linked list implementation, Stack and queue operations, Tree traversal algorithms, Graph representation and traversal, Sorting and searching practicals |
| CC-4 | Discrete Structures | Core Theory | 6 | Sets, Relations and Functions, Propositional and Predicate Logic, Counting Principles and Combinatorics, Graphs and Trees, Algebraic Structures (Groups, Rings), Boolean Algebra and Logic Gates |
| GE-2 | General Elective - 2 | General Elective | 6 | |
| AECC-2 | Communicative English | Ability Enhancement Compulsory Course | 2 | Reading Comprehension, Writing Skills (Reports, Emails), Grammar and Vocabulary, Listening and Speaking Skills, Presentation Techniques, Soft Skills for Professional Communication |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CC-5 | Operating System | Core Theory | 4 | Introduction to Operating Systems, Process Management, CPU Scheduling Algorithms, Deadlocks, Memory Management, File Systems and I/O Management |
| CC-5P | Operating System Lab | Core Practical | 2 | Linux commands and shell scripting, Process creation and management, CPU scheduling algorithm implementation, Deadlock detection and avoidance, Memory allocation strategies |
| CC-6 | Java Programming | Core Theory | 4 | Object-Oriented Programming Concepts, Core Java Features (Classes, Objects, Inheritance), Packages and Interfaces, Exception Handling and Multithreading, Applets and Event Handling, GUI Programming with Swing/AWT |
| CC-6P | Java Programming Lab | Core Practical | 2 | Class and object creation, Inheritance and polymorphism, Exception handling practice, Multithreading applications, GUI design with Swing/AWT |
| CC-7 | Computer Networks | Core Theory | 6 | Introduction to Computer Networks, Network Models (OSI, TCP/IP), Physical Layer and Data Link Layer, Network Layer (IP addressing, Routing), Transport Layer (TCP, UDP), Application Layer (HTTP, DNS, FTP) |
| SEC-1 | Python Programming | Skill Enhancement Course | 2 | Introduction to Python, Data Types, Operators and Control Flow, Functions, Modules and Packages, Data Structures (Lists, Tuples, Dictionaries), File Handling, Object-Oriented Programming in Python |
| GE-3 | General Elective - 3 | General Elective | 6 |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CC-8 | Design & Analysis of Algorithms | Core Theory | 4 | Introduction to Algorithms, Asymptotic Notations and Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms (BFS, DFS, Shortest Path) |
| CC-8P | Design & Analysis of Algorithms Lab | Core Practical | 2 | Implementation of sorting and searching algorithms, Greedy algorithm practice, Dynamic programming problem solutions, Graph traversal algorithm implementation, Minimum Spanning Tree algorithms |
| CC-9 | Database Management Systems | Core Theory | 4 | Introduction to DBMS, ER Model and Relational Model, SQL Query Language, Relational Algebra and Calculus, Normalization, Transaction Management and Concurrency Control |
| CC-9P | Database Management Systems Lab | Core Practical | 2 | SQL DDL and DML commands, Complex queries and subqueries, Joins and aggregate functions, Trigger and stored procedure implementation, Database design and normalization exercises |
| CC-10 | Software Engineering | Core Theory | 6 | Introduction to Software Engineering, Software Process Models (Waterfall, Agile), Requirements Engineering, Software Design Principles, Software Testing Techniques, Project Management and Quality Assurance |
| SEC-2 | Android Programming | Skill Enhancement Course | 2 | Introduction to Android Platform, Android Application Components, User Interface Design with XML, Event Handling and Layouts, Data Storage (SQLite, Shared Preferences), Working with Services and Broadcast Receivers |
| GE-4 | General Elective - 4 | General Elective | 6 |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CC-11 | Internet Technologies | Core Theory | 4 | Web Development Basics (HTML, CSS), Client-Side Scripting (JavaScript), Server-Side Scripting (PHP/ASP.NET Basics), Web Servers (Apache, IIS), Database Connectivity for Web, Web Security Fundamentals |
| CC-11P | Internet Technologies Lab | Core Practical | 2 | HTML and CSS webpage design, JavaScript for interactive web pages, PHP/ASP.NET basic scripting, Database integration with web applications, Building simple web forms |
| CC-12 | Computer Graphics | Core Theory | 4 | Introduction to Computer Graphics, Graphics Output Primitives, 2D and 3D Transformations, Viewing and Clipping, Color Models and Shading, Animation Techniques |
| CC-12P | Computer Graphics Lab | Core Practical | 2 | Line and circle drawing algorithms, 2D transformation implementation, Clipping algorithms practice, Basic animation development, Color filling techniques |
| DSE-1 | Artificial Intelligence | Discipline Specific Elective | 6 | Introduction to AI, Search Algorithms (BFS, DFS, A*), Knowledge Representation (Logic, Rules), Machine Learning Fundamentals, Neural Networks Basics, Natural Language Processing Introduction |
| DSE-2 | Data Science | Discipline Specific Elective | 6 | Introduction to Data Science, Data Collection and Preprocessing, Exploratory Data Analysis, Statistical Methods for Data Science, Introduction to Machine Learning Models, Data Visualization |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CC-13 | .NET Technologies | Core Theory | 4 | Introduction to .NET Framework, C# Programming Language, ASP.NET Web Forms/MVC Basics, ADO.NET for Database Connectivity, Web Services, Security in .NET Applications |
| CC-13P | .NET Technologies Lab | Core Practical | 2 | C# programming exercises, Developing ASP.NET web applications, Connecting to databases using ADO.NET, Building and consuming web services, Form validation and state management |
| CC-14 | Numerical Methods | Core Theory | 4 | Errors and Approximations, Solution of Algebraic & Transcendental Equations, Interpolation, Numerical Differentiation and Integration, Solution of Ordinary Differential Equations, Curve Fitting |
| CC-14P | Numerical Methods Lab | Core Practical | 2 | Implementation of root-finding methods, Interpolation techniques practice, Numerical differentiation/integration implementation, Solving ODEs using numerical methods, Curve fitting exercises |
| DSE-3 | Machine Learning | Discipline Specific Elective | 6 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Evaluation and Selection, Deep Learning Basics, Applications of Machine Learning |
| DSE-4 | Project Work | Discipline Specific Elective / Project | 6 | Problem Identification and Scope Definition, Literature Survey and Requirement Analysis, System Design and Implementation, Testing and Validation, Project Report Writing, Presentation and Demonstration |
