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B-TECH in Computer Science And Engineering at Shoolini University of Biotechnology and Management Sciences
Solan, Himachal Pradesh
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About the Specialization
What is Computer Science and Engineering at Shoolini University of Biotechnology and Management Sciences Solan?
The B.Tech Computer Science and Engineering program at Shoolini University focuses on equipping students with strong foundations in core computing principles, software development, data science, and emerging technologies. This aligns perfectly with India''''s rapidly expanding IT and digital transformation sectors, aiming to produce highly skilled, industry-ready professionals capable of addressing both global and domestic tech challenges.
Who Should Apply?
This comprehensive program is ideal for 10+2 graduates with a keen interest in logical reasoning, mathematics, and problem-solving, aspiring to build impactful careers in software development, data analytics, cybersecurity, artificial intelligence, or cloud computing. It caters to those seeking a robust theoretical background coupled with practical application to thrive in India’s competitive tech ecosystem.
Why Choose This Course?
Graduates of this program can expect diverse and rewarding career paths as software engineers, data scientists, full-stack developers, network architects, or AI/ML specialists in India''''s top IT companies, product startups, and MNCs. Entry-level salaries typically range from INR 4 to 8 LPA, with significant growth potential, aligning with the surging demand for tech talent across various Indian industries.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Consistently practice basic programming concepts (C/Python) beyond class assignments using online coding platforms. Focus on understanding data types, control structures, functions, and simple algorithms to build a strong logical foundation.
Tools & Resources
HackerRank, GeeksforGeeks Basic Section, CodeChef, W3Schools
Career Connection
Strong programming fundamentals are non-negotiable for cracking technical interviews and excelling in initial software development roles across Indian tech companies.
Build Analytical and Problem-Solving Skills- (Semester 1-2)
Dedicate time to solving a wide array of problems in Engineering Mathematics and Discrete Mathematics. Understand how these concepts apply to computer science, which is crucial for advanced subjects and algorithm design.
Tools & Resources
Khan Academy, NPTEL lectures on Discrete Mathematics, Peer study groups, Textbooks and reference problems
Career Connection
Enhances critical thinking, essential for designing efficient algorithms and solving complex technical challenges encountered in diverse Indian IT roles.
Engage in Early Project-Based Learning- (Semester 1-2)
Start building small, personal projects from the very first year (e.g., a simple command-line game, a basic calculator) using the programming languages learned. This translates theoretical knowledge into practical application.
Tools & Resources
GitHub for version control, VS Code/PyCharm for development, YouTube tutorials for beginner projects
Career Connection
Demonstrates initiative and practical coding skills, helping build an early portfolio that sets you apart during internships and entry-level job applications in India.
Intermediate Stage
Excel in Data Structures and Algorithms (DSA)- (Semester 3-4)
Deeply understand and implement various data structures and algorithms. Participate regularly in competitive programming contests on platforms highly regarded by Indian recruiters to improve problem-solving speed and logical reasoning.
Tools & Resources
LeetCode (Medium/Hard), Codeforces, InterviewBit, NPTEL courses on DSA
Career Connection
Mastering DSA is often the most critical factor for securing placements in top product-based companies and high-growth startups within the Indian tech landscape.
Pursue Internships and Real-World Projects- (Semester 4-5)
Actively seek and complete internships (even short-term or virtual ones) to gain industry exposure. Work on significant projects in areas like web development, mobile app development, or basic AI/ML, integrating multiple technologies.
Tools & Resources
LinkedIn Jobs/Internships, Internshala, College Placement Cell, GitHub for project showcase
Career Connection
Practical experience and a robust project portfolio are highly valued by Indian employers, significantly boosting your chances of placement and providing a competitive edge.
Strategically Choose Electives and Certifications- (Semester 5)
Use elective subjects to specialize in areas of high demand like Artificial Intelligence, Cybersecurity, Cloud Computing, or Data Science. Supplement this with online certifications from reputable platforms to deepen expertise.
Tools & Resources
Coursera, Udemy, edX, NPTEL, Industry certifications (e.g., AWS, Azure, Google Cloud)
Career Connection
Developing specialized skills in in-demand technologies directly aligns with industry requirements, opening doors to niche roles and better salary packages in the Indian job market.
Advanced Stage
Intensive Placement and Interview Preparation- (Semester 6-7)
Devote considerable time to aptitude test preparation, technical mock interviews, HR interviews, and resume building. Practice articulating your project experiences and problem-solving approaches clearly and concisely.
Tools & Resources
College placement cell workshops, Mock interview platforms, Quantitative aptitude books (e.g., R.S. Aggarwal), Company-specific interview experiences (e.g., GeeksforGeeks)
Career Connection
This focused preparation directly translates into successful placements, helping you secure desirable job offers from leading companies during campus recruitment drives in India.
Undertake a Significant Major Project/Thesis- (Semester 7-8)
Engage in a challenging, innovative final year major project, potentially collaborating with industry or research groups. Focus on end-to-end development, robust implementation, and detailed documentation, showcasing advanced skills.
Tools & Resources
Faculty mentors and research labs, Industry partners for project sponsorship, Advanced development tools and frameworks, Research paper databases
Career Connection
A strong major project is a key differentiator in interviews, demonstrating problem-solving capabilities, technical depth, and the ability to deliver complex solutions, highly valued by Indian recruiters.
Network and Develop Professional Skills- (Semester 6-8)
Actively participate in tech events, seminars, and workshops. Connect with alumni and industry professionals on platforms like LinkedIn. Cultivate essential soft skills such as communication, teamwork, and leadership through club activities or community service.
Tools & Resources
LinkedIn for professional networking, College alumni association, Professional bodies (e.g., IEEE, ACM student chapters), Public speaking clubs
Career Connection
Networking opens doors to mentorship, internships, and potential job opportunities beyond campus placements, fostering long-term career growth and adaptability in the dynamic Indian tech industry.
Program Structure and Curriculum
Eligibility:
- 10+2 with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subjects/ Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering Graphics/ Business Studies, OR Passed Diploma in Engineering and Technology with at least 45% marks (40% for reserved category) in appropriate branch of Engineering and Technology.
Duration: 8 semesters / 4 years
Credits: 188 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UE-BS101 | Engineering Physics | Core | 3 | Wave Optics and Interference, Quantum Mechanics and Wave-Particle Duality, Solid State Physics and Semiconductors, Lasers and Fiber Optics, Electromagnetic Theory and Maxwell''''s Equations |
| UE-BS102 | Engineering Chemistry | Core | 3 | Water Technology and Treatment, Spectroscopic Techniques (UV-Vis, IR, NMR), Fuels and Lubricants, Polymers and Composites, Corrosion and its Control |
| UE-MA101 | Engineering Mathematics-I | Core | 4 | Differential Calculus and Applications, Integral Calculus and Techniques, Multivariable Calculus (Partial Derivatives), Vector Calculus (Gradient, Divergence, Curl), Differential Equations (First Order) |
| UE-HS101 | English | Core | 2 | Basic Communication Skills, Grammar, Vocabulary, and Syntax, Reading Comprehension Strategies, Public Speaking and Presentation Skills, Report Writing and Technical Communication |
| UE-ES101 | Fundamentals of Computer Science & Engineering | Core | 3 | Introduction to Computer Systems, Basic Programming Concepts, Data Representation in Computers, Operating System Fundamentals, Networking Basics and Internet |
| UE-ES102 | Engineering Graphics & Design | Core | 1 | Orthographic Projections, Isometric Projections, Sections and Development of Solids, Introduction to CAD Software, Assembly and Disassembly Drawings |
| UE-BS101P | Engineering Physics Lab | Lab | 1 | Experiments on Wave Optics, Semiconductor Device Characteristics, LASER Properties and Applications, Energy Band Gap Determination, Magnetic Field Measurements |
| UE-BS102P | Engineering Chemistry Lab | Lab | 1 | Volumetric Analysis Techniques, Water Quality Parameter Testing, Synthesis of Organic Compounds, pH Metry and Conductometry, Corrosion Rate Determination |
| UE-ES101P | Fundamentals of Computer Science & Engineering Lab | Lab | 1 | Basic Programming Exercises (Python/C), Command Line Interface Usage, Introduction to Office Automation Tools, Simple Algorithm Implementation, Flowchart and Pseudocode Practice |
| UE-ES103 | Workshop Manufacturing Practices | Core | 2 | Carpentry and Joinery, Welding Techniques, Sheet Metal Work, Machining Processes, Foundry Practices and Casting |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UE-BS201 | Engineering Biology | Core | 3 | Introduction to Life Sciences, Biomolecules (Proteins, DNA, Lipids), Genetics and Heredity, Biotechnology Applications, Environmental Biology and Ecosystems |
| UE-MA201 | Engineering Mathematics-II | Core | 4 | Matrices and Determinants, Linear Algebra and Eigenvalues, Ordinary Differential Equations (Higher Order), Partial Differential Equations, Laplace Transforms |
| UE-ES201 | Programming for Problem Solving | Core | 3 | C Programming Fundamentals, Control Flow Statements (if, loop), Functions and Modular Programming, Arrays, Pointers, and Strings, Structures, Unions, and File I/O |
| UE-ES202 | Basic Electrical & Electronics Engineering | Core | 3 | DC Circuits and Network Theorems, AC Circuits and Phasors, Diodes and Rectifiers, Transistors and Amplifiers, Introduction to Digital Electronics |
| UE-HS201 | Environmental Science | Core | 2 | Ecology and Ecosystems, Environmental Pollution (Air, Water, Noise), Natural Resources and Conservation, Biodiversity and its Preservation, Environmental Management and Legislation |
| UE-ES201P | Programming for Problem Solving Lab | Lab | 1 | C Language Programming Exercises, Problem Solving using Functions, Array and String Manipulations, Pointer Operations and Dynamic Memory, File Handling Programs |
| UE-ES202P | Basic Electrical & Electronics Engineering Lab | Lab | 1 | Verification of Circuit Laws, PN Junction Diode Characteristics, Transistor Amplifier Circuits, Logic Gates Verification, Measurement of Electrical Quantities |
| UE-ES203P | Engineering Graphics & Design Lab | Lab | 1 | CAD Software Basics and Interface, 2D Drafting and Drawing, 3D Modeling Techniques, Assembly Drawing in CAD, Presentation of Engineering Drawings |
| UE-ES204 | IoT Lab | Core | 2 | IoT Architecture and Components, Sensor and Actuator Interfacing, Arduino/Raspberry Pi Programming, Cloud Connectivity for IoT Devices, Data Acquisition and Analysis from IoT |
| UE-HS202 | NCC/NSS/Sports | Core | 1 | Community Service Activities, Leadership and Discipline Training, Physical Fitness and Sportsmanship, Social Responsibility Awareness, Teamwork and Character Building |
| UE-SE201 | Professional Ethics and Universal Human Values | Core | 1 | Ethics in Engineering Profession, Human Values and Morality, Professional Conduct and Responsibility, Social Impact of Technology, Ethical Dilemmas and Decision Making |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UE-MA301 | Discrete Mathematics | Core | 4 | Set Theory and Logic, Relations, Functions and Recurrence Relations, Graph Theory and Trees, Combinatorics and Counting, Algebraic Structures (Groups, Rings) |
| UE-CS301 | Data Structures & Algorithms | Core | 4 | Arrays, Linked Lists, Stacks, Queues, Trees (Binary, BST, AVL, B-Trees), Graphs (Traversal, Shortest Path), Sorting Algorithms (Merge, Quick, Heap), Searching Algorithms (Binary, Hashing) |
| UE-CS302 | Digital Electronics | Core | 3 | Boolean Algebra and Logic Gates, Combinational Logic Circuits (Adders, Decoders), Sequential Logic Circuits (Flip-Flops), Registers and Counters, Memory Devices and PLAs |
| UE-CS303 | Computer Organization & Architecture | Core | 3 | Basic Computer Structure and Functions, CPU Organization and Instruction Set, Memory System Hierarchy, Input/Output Organization, Control Unit Design (Hardwired, Microprogrammed) |
| UE-HS301 | Managerial Economics and Financial Accounting | Core | 2 | Principles of Managerial Economics, Demand, Supply and Market Structures, Cost Analysis and Break-Even Point, Financial Statements (Balance Sheet, P&L), Budgeting and Financial Ratio Analysis |
| UE-CS301P | Data Structures & Algorithms Lab | Lab | 1 | Implementation of Linked Lists, Stack and Queue Operations, Binary Search Tree Implementations, Graph Traversal Algorithms, Sorting and Searching Practice |
| UE-CS302P | Digital Electronics Lab | Lab | 1 | Verification of Logic Gates, Design of Combinational Circuits, Flip-Flop Operations, Implementation of Registers, Counter Design |
| UE-CS303P | Computer Organization & Architecture Lab | Lab | 1 | Assembly Language Programming, Memory Addressing Modes, CPU Simulation using Tools, I/O Device Interfacing Concepts, Instruction Pipelining Simulation |
| UE-SE301 | Professional Communication | Core | 2 | Technical Report Writing, Effective Presentation Skills, Group Discussion Strategies, Interview Preparation Techniques, Business Correspondence |
| UE-PR301 | Industrial Training/Minor Project - I | Project | 4 | Industry Exposure and Observation, Basic Project Planning and Design, Module Development and Implementation, Technical Documentation, Problem Identification and Solutions |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UE-CS401 | Operating Systems | Core | 4 | Process Management and CPU Scheduling, Memory Management and Virtual Memory, File Systems and I/O Management, Concurrency and Deadlocks, Operating System Structures and Architectures |
| UE-CS402 | Design & Analysis of Algorithms | Core | 4 | Algorithm Paradigms (Divide and Conquer, Greedy), Dynamic Programming, Graph Algorithms (MST, Shortest Path), Backtracking and Branch & Bound, NP-Completeness and Approximation Algorithms |
| UE-CS403 | Database Management Systems | Core | 3 | DBMS Architecture and Data Models, Entity-Relationship (ER) Model, Relational Model and Algebra, Structured Query Language (SQL), Normalization, Transaction Management, Concurrency Control |
| UE-CS404 | Object-Oriented Programming | Core | 3 | Classes, Objects, and Encapsulation, Inheritance and Polymorphism, Abstraction and Interfaces, Exception Handling Mechanisms, Templates/Generics and Collections |
| UE-MA401 | Probability & Statistics | Core | 2 | Probability Theory and Random Variables, Probability Distributions (Binomial, Normal), Sampling Theory and Estimation, Hypothesis Testing, Regression and Correlation Analysis |
| UE-CS401P | Operating Systems Lab | Lab | 1 | Linux Commands and Shell Scripting, Process Creation and Management, Inter-Process Communication (IPC), CPU Scheduling Algorithms, Memory Allocation Simulation |
| UE-CS403P | Database Management Systems Lab | Lab | 1 | SQL DDL and DML Commands, Advanced SQL Queries (Joins, Subqueries), Database Design and Implementation, PL/SQL Programming Basics, Connecting Database with Programming Languages |
| UE-CS404P | Object-Oriented Programming Lab | Lab | 1 | C++/Java Class and Object Implementation, Inheritance and Polymorphism Examples, Exception Handling Practice, File I/O in OOP, GUI Applications Development |
| UE-SE401 | Entrepreneurship | Core | 2 | Introduction to Entrepreneurship, Idea Generation and Business Opportunity, Business Plan Development, Market Research and Analysis, Funding Sources and Legal Aspects |
| UE-PR401 | Industrial Training/Minor Project - II | Project | 4 | Advanced Industry Problem Solving, System Design and Architecture, Agile Development Methodologies, Testing and Debugging, Project Reporting and Presentation |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UE-CS501 | Theory of Computation | Core | 4 | Finite Automata and Regular Expressions, Context-Free Grammars and Languages, Pushdown Automata, Turing Machines and Computability, Decidability and Undecidability |
| UE-CS502 | Computer Networks | Core | 4 | OSI and TCP/IP Reference Models, Physical and Data Link Layer Protocols, Network Layer (IP Addressing, Routing), Transport Layer (TCP, UDP), Application Layer Protocols (HTTP, DNS, FTP) |
| UE-CS503 | Software Engineering | Core | 3 | Software Development Life Cycle Models, Requirements Engineering and Analysis, Software Design Principles and Patterns, Software Testing Techniques, Project Management and Maintenance |
| UE-CS504 | Microprocessor & Microcontroller | Core | 3 | 8086 Microprocessor Architecture, Instruction Set and Assembly Language, Memory and I/O Interfacing, Microcontroller Basics (e.g., 8051), Embedded System Design |
| UE-CS505 | Artificial Intelligence | Core | 3 | Introduction to AI and Intelligent Agents, Problem-Solving using Search Algorithms, Knowledge Representation and Reasoning, Introduction to Machine Learning, Expert Systems and Fuzzy Logic |
| UE-CS502P | Computer Networks Lab | Lab | 1 | Network Configuration using Routers/Switches, Socket Programming (TCP/UDP), Network Traffic Analysis (Wireshark), Client-Server Application Development, Subnetting and IP Addressing Practice |
| UE-CS503P | Software Engineering Lab | Lab | 1 | UML Diagramming Tools Practice, Version Control Systems (Git), Automated Testing Frameworks, Requirement Gathering Techniques, Software Project Management Tools |
| UE-CS504P | Microprocessor & Microcontroller Lab | Lab | 1 | 8086 Assembly Language Programming, Interfacing with Peripherals (LEDs, LCDs), Timer/Counter Programming, Interrupt Handling, Microcontroller Based Project Development |
| UE-SE501 | Data Visualization | Core | 2 | Principles of Data Visualization, Types of Data and Visualizations, Dashboard Design and Storytelling, Using Tools like Tableau/Power BI, Interactive Visualizations |
| UE-PR501 | Industrial Training/Minor Project - III | Project | 4 | Advanced Industry Project Execution, Team Collaboration and Project Management, Documentation and Reporting, Problem Solving and Debugging, Presentation of Project Outcomes |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UE-CS601 | Compiler Design | Core | 4 | Lexical Analysis and Lexers, Syntax Analysis and Parsers, Semantic Analysis and Type Checking, Intermediate Code Generation, Code Optimization and Generation |
| UE-CS602 | Web Technologies | Core | 4 | HTML5 and CSS3 for Web Design, JavaScript and Client-Side Scripting, Server-Side Scripting (PHP/Node.js Basics), Database Connectivity for Web Apps, Web Security Fundamentals |
| UE-CS603 | Machine Learning | Core | 3 | Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Model Evaluation and Validation, Ensemble Methods, Introduction to Deep Learning |
| UE-CS604 | Cyber Security | Core | 3 | Network Security Fundamentals, Cryptography and Encryption, Firewalls and Intrusion Detection Systems, Web Application Security, Cyber Laws and Ethical Hacking |
| UE-OE601 | Open Elective - I | Elective | 3 | |
| UE-CS602P | Web Technologies Lab | Lab | 1 | HTML/CSS/JavaScript Development, Responsive Web Design, Server-Side Scripting Implementations, Database Integration with Web Applications, Deployment of Simple Web Apps |
| UE-CS603P | Machine Learning Lab | Lab | 1 | Data Preprocessing and Exploration, Implementation of Supervised Learning Algorithms, Clustering Algorithms Practice, Model Training and Evaluation, Using Python Libraries (Scikit-learn, Pandas) |
| UE-CS604P | Cyber Security Lab | Lab | 1 | Network Scanning Tools (Nmap), Vulnerability Assessment, Intrusion Detection System Configuration, Basic Cryptography Tools, Web Application Penetration Testing |
| UE-PR601 | Industrial Training/Minor Project - IV | Project | 4 | Specialized Industry Problem Solving, Advanced Software Development Techniques, Quality Assurance and Testing, Deployment Strategies, Technical Documentation and Presentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UE-PE7XX | Program Elective - I | Elective | 3 | |
| UE-PE7XX | Program Elective - II | Elective | 3 | |
| UE-CS701 | Major Project - I | Project | 6 | Project Idea Generation and Feasibility Study, Extensive Literature Survey, Detailed System Design and Architecture, Prototype Development and Proof-of-Concept, Project Planning and Milestone Definition |
| UE-OE701 | Open Elective - II | Elective | 3 | |
| UE-PR701 | Industrial Training/Minor Project - V | Project | 6 | Extended Industry Work Experience, Large Scale System Development, Advanced Testing and Deployment, Client Interaction and Feedback Integration, Comprehensive Project Report Writing |
| UE-SE701 | Design Thinking | Core | 3 | Introduction to Design Thinking Process, Empathize and Define User Needs, Ideation and Brainstorming Techniques, Prototyping and Iteration, Testing and User Feedback |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UE-PE8XX | Program Elective - III | Elective | 3 | |
| UE-PE8XX | Program Elective - IV | Elective | 3 | |
| UE-CS801 | Major Project - II | Project | 10 | Complete System Implementation, Rigorous Testing and Debugging, Performance Optimization, Comprehensive Project Documentation, Final Project Demonstration and Presentation |
| UE-OE801 | Open Elective - III | Elective | 3 | |
| UE-SE801 | Research Methodology | Core | 1 | Defining Research Problem and Objectives, Literature Review Techniques, Research Design and Methodology, Data Collection and Analysis Methods, Report Writing and Research Ethics |
