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B-TECH in Computer Science Engineering at Seth Jai Parkash Mukand Lal Institute of Engineering & Technology, Radaur
Yamunanagar, Haryana
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About the Specialization
What is Computer Science Engineering at Seth Jai Parkash Mukand Lal Institute of Engineering & Technology, Radaur Yamunanagar?
This Computer Science Engineering program at Seth Jai Parkash Mukand Lal Institute of Engineering and Technology focuses on equipping students with a robust foundation in computing principles and cutting-edge technologies. It addresses the growing demand for skilled professionals in India''''s booming IT and digital transformation sectors, emphasizing both theoretical knowledge and practical application, preparing graduates for diverse roles in the industry.
Who Should Apply?
This program is ideal for high school graduates with a strong aptitude for mathematics, problem-solving, and logical reasoning, seeking entry into the software development, data science, or cybersecurity fields. It also benefits aspiring innovators and entrepreneurs eager to contribute to India''''s technological landscape, requiring a prerequisite understanding of basic science and mathematics.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including software development, data analytics, cloud engineering, and cybersecurity. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning significantly more. The curriculum aligns with certifications like AWS, Azure, and Google Cloud, enhancing growth trajectories in top Indian and MNC tech companies.
Student Success Practices
Foundation Stage
Master Programming Fundamentals with Competitive Coding- (Semester 1-2)
Dedicate time in semesters 1-2 to master C/C++ or Python. Regularly participate in competitive programming challenges to sharpen problem-solving skills, improve logical thinking, and understand algorithmic efficiency. This builds a strong base for advanced courses and technical interviews.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, Online tutorials
Career Connection
Strong programming fundamentals are non-negotiable for placements in any IT role. Competitive coding experience often acts as a significant differentiator, showcasing critical thinking under pressure.
Build a Strong Academic Network- (Semester 1-2)
Engage actively with professors and senior students. Form study groups to discuss complex topics, share resources, and collaboratively solve problems. Seek guidance from faculty on challenging concepts and potential research interests early on.
Tools & Resources
Departmental seminars, Student clubs, Peer mentorship programs
Career Connection
A robust academic network provides access to valuable insights, project opportunities, and mentorship, which can be crucial for internships and academic excellence.
Explore Basic Engineering Applications- (Semester 1-2)
Beyond classroom theory, experiment with basic engineering applications. For CSE students, this might involve simple web pages, basic app development, or mini-projects using microcontrollers. Understand how theoretical concepts translate into practical systems.
Tools & Resources
VS Code, GitHub, Arduino/Raspberry Pi kits, Online courses on Udemy/Coursera
Career Connection
Early practical exposure helps in identifying areas of interest and developing a portfolio, which is essential for project-based learning and future internships.
Intermediate Stage
Undertake Mini-Projects and Internships- (Semester 3-5 (Summer Breaks))
Apply theoretical knowledge by working on mini-projects, either individually or in teams. Actively seek summer internships or part-time projects in areas like web development, data analysis, or mobile app development to gain practical industry exposure and build a professional resume.
Tools & Resources
LinkedIn, Internshala, College placement cell, GitHub for project showcasing
Career Connection
Internships are vital for bridging the gap between academia and industry, providing real-world experience, networking opportunities, and often leading to pre-placement offers.
Specialize in Key Technologies- (Semester 3-5)
As core subjects get covered, identify a specialization area like Machine Learning, Cybersecurity, or Cloud Computing. Take advanced online courses, participate in workshops, and pursue certifications relevant to your chosen domain to build deep expertise.
Tools & Resources
NPTEL courses, Coursera/edX for specialized certifications (e.g., Google ML, AWS Cloud), Kaggle for data science
Career Connection
Specialized skills are highly valued by recruiters in India. Certifications provide tangible proof of expertise, making candidates more competitive for niche roles.
Participate in Hackathons and Technical Competitions- (Semester 3-5)
Actively participate in university, regional, and national hackathons and technical competitions. This fosters teamwork, innovation, and problem-solving skills under pressure, exposing students to diverse challenges and industry-relevant scenarios.
Tools & Resources
Devpost, Major League Hacking (MLH) events, College technical fests
Career Connection
Winning or even participating in such events enhances your profile, demonstrates initiative, and provides valuable networking opportunities with industry professionals and potential employers.
Advanced Stage
Focus on Capstone Project and Research- (Semester 6-8)
In the final year, dedicate significant effort to the major project. Aim for an innovative solution to a real-world problem or contribute to ongoing research. This project should showcase all learned skills and technologies, acting as a centerpiece for placement interviews.
Tools & Resources
Industry mentors, Research papers, Advanced IDEs, Cloud platforms
Career Connection
A strong capstone project is often the most important talking point in interviews, demonstrating practical skills, problem-solving ability, and the capacity to deliver complex solutions.
Intensive Placement Preparation- (Semester 6-8)
Engage in rigorous placement preparation including mock interviews (technical and HR), aptitude test practice, resume building workshops, and group discussions. Refine communication skills and soft skills alongside technical expertise.
Tools & Resources
Placement cells, Career counselors, Online aptitude platforms, InterviewBit
Career Connection
Comprehensive preparation is critical for converting interview opportunities into job offers, ensuring readiness for all stages of the recruitment process in Indian companies.
Network Professionally and Seek Mentorship- (Semester 6-8)
Attend industry seminars, tech talks, and professional networking events. Connect with alumni and industry veterans on platforms like LinkedIn. Seek out mentors who can offer guidance on career paths, job search strategies, and professional development.
Tools & Resources
LinkedIn, Industry conferences, Alumni association events
Career Connection
Networking and mentorship can open doors to unadvertised opportunities, provide invaluable career advice, and help navigate the complexities of the Indian job market, fostering long-term career growth.
Program Structure and Curriculum
Eligibility:
- 10+2 with Physics, Mathematics, and one of Chemistry/Biotechnology/Biology/Technical Vocational subject with minimum 45% marks (40% for SC/ST category) from a recognized Board/University.
Duration: 4 years (8 semesters)
Credits: 160 Credits
Assessment: Internal: 30% (for theory subjects), 50% (for practical subjects), External: 70% (for theory subjects), 50% (for practical subjects)
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSC-PHY101 | Applied Physics-I | Basic Science Course | 3 | Quantum Mechanics, Solid State Physics, Lasers and Fiber Optics, Electromagnetism, Dielectric and Magnetic Materials |
| BSC-MTH101 | Applied Mathematics-I | Basic Science Course | 3 | Matrices, Differential Calculus, Integral Calculus, Partial Differentiation, Vector Calculus |
| ESC-CSE101 | Programming for Problem Solving | Engineering Science Course | 3 | C Language Fundamentals, Control Structures, Arrays and Pointers, Functions and Recursion, File Handling and Structures |
| ESC-ME101 | Engineering Graphics & Design | Engineering Science Course | 2 | Orthographic Projections, Isometric Projections, Sectional Views, Introduction to CAD, Development of Surfaces |
| MC-EVS101 | Environmental Studies | Mandatory Course | 0 | Natural Resources, Ecosystems, Environmental Pollution, Biodiversity Conservation, Human Population and Environment |
| BSC-PHY102 | Applied Physics Lab-I | Laboratory Course | 1 | Measurement techniques, Optics experiments, Semiconductor device characteristics, Magnetic field experiments |
| ESC-CSE102 | Programming for Problem Solving Lab | Laboratory Course | 1 | C programming exercises, Debugging techniques, Algorithm implementation, Data structures practice |
| ESC-ME102 | Workshop Manufacturing Practices | Laboratory Course | 1 | Carpentry shop, Fitting shop, Welding shop, Foundry shop, Sheet metal shop |
| HSMC-ENG101 | English Language Lab | Humanities and Social Sciences including Management Course | 1 | Pronunciation practice, Group discussions, Presentation skills, Interview techniques, Public speaking |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| BSC-CHE101 | Applied Chemistry-I | Basic Science Course | 3 | Water Treatment, Corrosion and its Control, Polymers and Composites, Fuels and Lubricants, Chemical Thermodynamics |
| BSC-MTH102 | Applied Mathematics-II | Basic Science Course | 3 | Laplace Transforms, Fourier Series, Partial Differential Equations, Probability and Statistics, Complex Numbers |
| ESC-EE101 | Basic Electrical Engineering | Engineering Science Course | 3 | DC Circuits, AC Circuits, Transformers, DC Machines, AC Machines |
| ESC-ECE101 | Basic Electronics Engineering | Engineering Science Course | 3 | Semiconductor Diodes, Transistors (BJT & FET), Amplifiers, Digital Logic Gates, Operational Amplifiers |
| HSMC-ENG102 | Communication Skills in English | Humanities and Social Sciences including Management Course | 2 | Reading Comprehension, Writing Skills, Listening Skills, Verbal Communication, Report Writing |
| BSC-CHE102 | Applied Chemistry Lab-I | Laboratory Course | 1 | Water analysis, Acid-base titrations, Viscosity determination, Spectrophotometric analysis |
| ESC-EE102 | Basic Electrical Engineering Lab | Laboratory Course | 1 | Circuit laws verification, AC circuit analysis, Transformer testing, Motor characteristics |
| ESC-ECE102 | Basic Electronics Engineering Lab | Laboratory Course | 1 | Diode and transistor characteristics, Rectifier circuits, Amplifier design, Logic gate verification |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PCC-CSE201 | Data Structures & Algorithms | Professional Core Course | 3 | Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Searching and Sorting, Hashing Techniques |
| PCC-CSE202 | Object Oriented Programming | Professional Core Course | 3 | Classes and Objects, Inheritance and Polymorphism, Encapsulation and Abstraction, Exception Handling, Templates and STL |
| PCC-CSE203 | Digital Electronics | Professional Core Course | 3 | Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits, Memory Devices |
| PCC-CSE204 | Discrete Structures | Professional Core Course | 3 | Set Theory, Logic and Proofs, Relations and Functions, Graph Theory, Algebraic Structures |
| HSMC-HS201 | Essence of Indian Traditional Knowledge | Humanities and Social Sciences including Management Course | 0 | Indian Philosophy, Yoga and Ayurveda, Indian Arts and Architecture, Traditional Science and Technology, Indian Economic and Political thought |
| PCC-CSE205 | Data Structures & Algorithms Lab | Laboratory Course | 1 | Implementations of data structures, Sorting algorithm practicals, Graph traversal algorithms, Dynamic programming exercises |
| PCC-CSE206 | Object Oriented Programming Lab | Laboratory Course | 1 | C++ programming exercises, Class and object design, Inheritance and polymorphism implementation, GUI programming basics |
| PCC-CSE207 | Digital Electronics Lab | Laboratory Course | 1 | Logic gates verification, Adder/Subtractor circuits, Flip-flop implementation, Counters and registers |
| HSMC-ENG201 | Universal Human Values | Humanities and Social Sciences including Management Course | 3 | Human Values and Ethics, Harmony in the Family, Harmony in Society, Harmony in Nature, Professional Ethics |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PCC-CSE208 | Operating System | Professional Core Course | 3 | Process Management, CPU Scheduling, Memory Management, File Systems, Deadlocks |
| PCC-CSE209 | Computer Organization & Architecture | Professional Core Course | 3 | Processor Organization, Memory Hierarchy, Input/Output Organization, Control Unit Design, Pipelining |
| PCC-CSE210 | Design & Analysis of Algorithms | Professional Core Course | 3 | Algorithm Analysis, Divide and Conquer, Dynamic Programming, Greedy Algorithms, NP-Completeness |
| PCC-CSE211 | Database Management System | Professional Core Course | 3 | ER Model, Relational Model, SQL Queries, Database Normalization, Transaction Management |
| PCC-CSE212 | Microprocessor & Interfacing | Professional Core Course | 3 | 8085/8086 Architecture, Assembly Language Programming, Memory Interfacing, I/O Interfacing, Interrupts |
| PCC-CSE213 | Operating System Lab | Laboratory Course | 1 | Linux commands, Shell scripting, Process synchronization, Memory allocation algorithms |
| PCC-CSE214 | Database Management System Lab | Laboratory Course | 1 | SQL queries practice, Database design, PL/SQL programming, ER diagram implementation |
| PCC-CSE215 | Microprocessor & Interfacing Lab | Laboratory Course | 1 | 8085/8086 programming, Interfacing with peripherals, Assembly language debugger, I/O device control |
| MC-ENV201 | Environmental Science | Mandatory Course | 0 | Environmental Ethics, Solid Waste Management, Climate Change, Pollution Control, Sustainable Development |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PCC-CSE301 | Theory of Automata & Compiler Design | Professional Core Course | 3 | Finite Automata, Context-Free Grammars, Pushdown Automata, Turing Machines, Phases of Compiler |
| PCC-CSE302 | Computer Networks | Professional Core Course | 3 | Network Topologies, OSI and TCP/IP Models, Data Link Layer Protocols, Network Layer Protocols, Transport Layer Protocols |
| PCC-CSE303 | Software Engineering | Professional Core Course | 3 | Software Life Cycle Models, Requirements Engineering, Software Design, Software Testing, Project Management |
| PCC-CSE304 | Artificial Intelligence | Professional Core Course | 3 | Introduction to AI, Search Algorithms, Knowledge Representation, Machine Learning Basics, Natural Language Processing |
| OEC-XXX | Open Elective-I | Open Elective Course | 3 | Subject selected from other departments/domains as per availability and student interest. |
| PCC-CSE305 | Compiler Design Lab | Laboratory Course | 1 | Lexical Analyzer implementation, Syntax Analyzer (Parser) development, Intermediate code generation, Symbol table management |
| PCC-CSE306 | Computer Networks Lab | Laboratory Course | 1 | Network configuration commands, Socket programming, Packet analysis with Wireshark, Routing protocols simulation |
| PCC-CSE307 | Software Engineering Lab | Laboratory Course | 1 | UML diagrams, Requirements documentation, Test case generation, Version control systems |
| PROJ-CSE301 | Mini Project-I | Project | 2 | Problem identification, System design, Implementation and testing, Documentation, Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PCC-CSE308 | Machine Learning | Professional Core Course | 3 | Supervised Learning, Unsupervised Learning, Reinforcement Learning, Deep Learning Basics, Model Evaluation |
| PCC-CSE309 | Web Technologies | Professional Core Course | 3 | HTML5 and CSS3, JavaScript and DOM, Server-Side Scripting (e.g., PHP/Node.js), Database Connectivity, Web Security Basics |
| PCC-CSE310 | Cyber Security | Professional Core Course | 3 | Network Security, Cryptography, Malware Analysis, Web Application Security, Cyber Forensics |
| PCC-CSE311 | Cloud Computing | Professional Core Course | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization, Cloud Storage, Cloud Security |
| PEC-CSE301 | Professional Elective-I | Professional Elective Course | 3 | Advanced topics in specific domains like Data Science, IoT, Blockchain, etc. (Choice given to students). |
| PCC-CSE312 | Machine Learning Lab | Laboratory Course | 1 | Python for ML, Scikit-learn usage, Dataset preprocessing, Implementing ML algorithms, Model evaluation metrics |
| PCC-CSE313 | Web Technologies Lab | Laboratory Course | 1 | HTML/CSS web page design, JavaScript interactivity, Dynamic web applications, Database integration |
| PCC-CSE314 | Cyber Security Lab | Laboratory Course | 1 | Network scanning tools, Firewall configuration, Intrusion detection systems, Cryptography tools |
| INT-CSE301 | Industrial Training | Internship | 2 | Practical exposure to industry environment, Application of theoretical knowledge, Skill development, Project work, Report writing |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PCC-CSE401 | Data Mining & Data Warehousing | Professional Core Course | 3 | Data Preprocessing, Association Rule Mining, Classification Algorithms, Clustering Algorithms, Data Warehouse Architecture |
| PEC-CSE401 | Professional Elective-II | Professional Elective Course | 3 | Advanced topics in emerging technologies (e.g., Big Data Analytics, IoT, Mobile Computing). |
| OEC-XXX | Open Elective-II | Open Elective Course | 3 | Subject selected from other departments/domains as per availability and student interest. |
| HSMC-MGMT401 | Engineering Economics & Management | Humanities and Social Sciences including Management Course | 3 | Micro and Macro Economics, Financial Management, Project Management, Marketing Management, Organizational Behavior |
| PCC-CSE402 | Data Mining Lab | Laboratory Course | 1 | Data cleaning and transformation, Implementing classification algorithms, Clustering analysis, Using data mining tools (e.g., Weka, Python libraries) |
| PROJ-CSE401 | Project-I | Project | 3 | Advanced system design, Module implementation, Testing and debugging, Technical report writing, Presentation skills |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| PCC-CSE403 | Distributed Systems | Professional Core Course | 3 | Client-Server Model, RPC and RMI, Distributed File Systems, Distributed Transaction Management, Consistency and Replication |
| PEC-CSE402 | Professional Elective-III | Professional Elective Course | 3 | Specialized topics such as Blockchain Technology, Quantum Computing, DevOps, etc. |
| OEC-XXX | Open Elective-III | Open Elective Course | 3 | Subject selected from other departments/domains as per availability and student interest. |
| PROJ-CSE402 | Project-II | Project | 6 | Full system development lifecycle, Research and innovation, Comprehensive testing and deployment, Impact analysis, Professional documentation and viva-voce |
