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B-TECH in Computer Science And Engineering Cse at Keshav Memorial Institute of Technology
Hyderabad, Telangana
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About the Specialization
What is Computer Science and Engineering (CSE) at Keshav Memorial Institute of Technology Hyderabad?
This Computer Science and Engineering (CSE) program at Keshav Memorial Institute of Technology (KMIT) focuses on equipping students with a robust foundation in computing principles and advanced technologies. It emphasizes both theoretical knowledge and practical application, preparing graduates to address the evolving demands of the Indian IT industry. The curriculum is designed to foster innovation and problem-solving skills, crucial for a thriving tech landscape.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into the diverse field of computer science, including software development, data analytics, and cybersecurity roles. It also suits individuals with a strong aptitude for mathematics and logical reasoning, aspiring to build scalable and efficient technological solutions. Additionally, it caters to those looking to contribute to India''''s digital transformation initiatives and product development.
Why Choose This Course?
Graduates of this program can expect to pursue rewarding career paths such as Software Engineers, Data Scientists, AI/ML Engineers, and Cybersecurity Analysts in top Indian and multinational companies. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning significantly more. The strong curriculum alignment with industry standards also aids in pursuing higher education or specialized certifications.
Student Success Practices
Foundation Stage
Master Programming Fundamentals (C, Java, Data Structures)- (Semester 1-2)
Consistently practice coding challenges on platforms like HackerRank and LeetCode. Focus on understanding core concepts of C and Java, and implementing various data structures (arrays, linked lists, trees) from scratch.
Tools & Resources
GeeksforGeeks, CodeChef, HackerRank, JNTUH R22 specific programming textbooks
Career Connection
Strong foundation in programming and data structures is critical for technical interviews and is the bedrock of all software development roles.
Develop Strong Problem-Solving and Logical Reasoning Skills- (Semester 1-2)
Engage in competitive programming and solve logical puzzles regularly. Participate in college-level coding contests and analyze solutions to improve algorithmic thinking. Form study groups to discuss complex problems.
Tools & Resources
TopCoder, Project Euler, online competitive programming communities
Career Connection
Essential for cracking aptitude tests, technical rounds, and excelling in challenging software development and research positions.
Build Foundational Communication and Presentation Skills- (Semester 1-2)
Actively participate in ELCS labs, focus on public speaking, group discussions, and technical presentations. Join college clubs like Toastmasters or debating societies to refine verbal and non-verbal communication.
Tools & Resources
ELCS Lab materials, online resources for public speaking, college communication workshops
Career Connection
Crucial for interviews, team collaboration, client interactions, and presenting project ideas effectively in professional settings.
Intermediate Stage
Deep Dive into Core CSE Subjects and Project-Based Learning- (Semester 3-5)
Beyond academics, apply knowledge from subjects like DBMS, OS, and Computer Networks by building small projects. For example, create a simple database application or a network chat client. Explore open-source contributions.
Tools & Resources
GitHub, SQL/NoSQL databases, virtual machine environments, relevant programming IDEs
Career Connection
Practical application solidifies understanding, creates a portfolio, and demonstrates hands-on skills valuable to employers for development and system administration roles.
Gain Industry Exposure through Internships and Workshops- (Semester 4-5)
Actively seek summer internships (even short-term ones) at startups or smaller tech firms in Hyderabad. Attend workshops on emerging technologies like full-stack development, cloud computing, or AI/ML tools.
Tools & Resources
LinkedIn, Internshala, college placement cell, industry specific training institutes
Career Connection
Real-world experience provides practical insights, expands professional network, and significantly boosts resume value for placements.
Specialize and Certify in an Emerging Technology Area- (Semester 4-5)
Choose an area of interest (e.g., Data Science, Cybersecurity, Web Development) and pursue online courses or certifications from platforms like Coursera, Udemy, or NPTEL. Build a small project demonstrating this specialized skill.
Tools & Resources
Coursera, Udemy, NPTEL, Kaggle for data science, HackerOne for cybersecurity
Career Connection
Demonstrates initiative, provides in-demand skills, and differentiates you for specialized roles, leading to better job prospects and potentially higher starting salaries.
Advanced Stage
Focus on Capstone Project and Portfolio Development- (Semester 7-8)
Dedicate significant effort to the major project (Project Stage I & II). Aim for a complex, innovative solution, ideally with real-world applicability. Document all phases meticulously and create a professional portfolio showcasing your best work.
Tools & Resources
GitHub, project management tools, academic papers, industry mentors
Career Connection
The capstone project is often the centerpiece of interviews, demonstrating problem-solving, implementation, and teamwork skills to potential employers, crucial for product development and R&D roles.
Intensive Placement Preparation and Mock Interviews- (Semester 7-8)
Engage in rigorous placement training, including technical aptitude, reasoning, verbal ability, and coding rounds. Participate in mock interviews with faculty, alumni, or professional trainers to refine interview skills and receive constructive feedback.
Tools & Resources
Placement training modules, interview preparation books, online platforms like Glassdoor and InterviewBit
Career Connection
Maximizes chances of securing top placements in leading companies, ensuring readiness for diverse interview formats.
Network with Industry Professionals and Alumni- (Semester 6-8)
Attend industry conferences, tech meetups, and alumni networking events. Build genuine connections that can lead to mentorship, job referrals, and insights into career opportunities and market trends.
Tools & Resources
LinkedIn, industry events platforms, KMIT alumni network
Career Connection
Opens doors to hidden job markets, provides guidance, and helps in long-term career growth and professional development in the dynamic Indian tech sector.
Program Structure and Curriculum
Eligibility:
- Intermediate (10+2) or equivalent examination with minimum 45% marks in Physics, Chemistry, Mathematics (PCM). Must qualify TS-EAMCET or JEE Mains.
Duration: 4 years / 8 semesters
Credits: 167.5 (sum of individual subject credits as per official JNTUH R22 CSE syllabus document; minimum 160 credits required for degree as per JNTUH R22 regulations) Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA101BS | Matrices and Calculus | Core | 4 | Matrices, Eigenvalues and Eigenvectors, Differential Calculus, Integral Calculus, Vector Calculus |
| PH102BS | Applied Physics | Core | 3 | Quantum Mechanics, Solid State Physics, Lasers, Fiber Optics, Semiconductor Devices |
| CH103BS | Engineering Chemistry | Core | 3 | Water Technology, Electrochemistry, Corrosion, Polymers, Fuels and Combustion |
| ME104ES | Computer Aided Engineering Graphics | Core | 3 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, AutoCAD Introduction |
| EE105ES | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Circuits, Transformers, Electrical Machines, Power Systems Basics |
| CS106PC | Programming for Problem Solving | Core | 3 | C Language Fundamentals, Control Structures, Functions, Arrays and Pointers, Strings and File Handling |
| PH107BS | Applied Physics Lab | Lab | 1.5 | Laser Characteristics, Optical Fiber Parameters, PN Junction Diode Characteristics, Zener Diode Characteristics, Energy Gap of Semiconductor |
| CH108BS | Engineering Chemistry Lab | Lab | 1.5 | Water Analysis, Titrations, pH Metry, Conductometry, Viscosity of Polymers |
| ME109ES | Basic Electrical Engineering Lab | Lab | 1.5 | Circuit Laws Verification, RC & RL Circuits, AC & DC Machines, Transformer Load Test, Earthing Practices |
| CS110PC | Programming for Problem Solving Lab | Lab | 1.5 | C Program Execution, Conditional Statements, Looping Constructs, Function Implementation, Array and String Manipulation |
| MC111HS | English Language and Communication Skills (ELCS) Lab - I | Audit | 0 | Pronunciation & Intonation, Word Stress, Role-Play, Group Discussions, Public Speaking Basics |
| MC112HS | Environmental Science | Audit | 0 | Ecosystems, Biodiversity, Pollution Control, Sustainable Development, Environmental Impact Assessment |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA201BS | Ordinary Differential Equations and Vector Calculus | Core | 4 | First Order ODEs, Higher Order ODEs, Laplace Transforms, Vector Differentiation, Vector Integration |
| CS202PC | Data Structures | Core | 3 | Arrays and Pointers, Linked Lists, Stacks and Queues, Trees and Graphs, Sorting and Searching |
| CS203PC | Digital Logic Design | Core | 3 | Number Systems, Boolean Algebra, Logic Gates, Combinational Circuits, Sequential Circuits |
| ME204ES | Engineering Workshop | Core | 1.5 | Carpentry, Fitting, Welding, Foundry, Sheet Metal |
| EN205HS | English for Skill Enhancement | Core | 2 | Reading Comprehension, Writing Skills, Grammar Review, Vocabulary Building, Soft Skills |
| CS206PC | Data Structures Lab | Lab | 1.5 | Array and String Programs, Linked List Implementations, Stack and Queue Operations, Tree Traversals, Graph Algorithms |
| CS207PC | Digital Logic Design Lab | Lab | 1.5 | Logic Gates Verification, Adders and Subtractors, Multiplexers & Demultiplexers, Flip-Flops, Counters and Registers |
| EN208HS | English Language and Communication Skills (ELCS) Lab – II | Lab | 1 | Advanced Public Speaking, Interview Skills, Group Discussions, Presentation Skills, Report Writing |
| MC209HS | Indian Constitution | Audit | 0 | Preamble of Constitution, Fundamental Rights, Directive Principles of State Policy, Union and State Governments, Constitutional Amendments |
| MC210HS | Essence of Indian Traditional Knowledge | Audit | 0 | Vedas and Upanishads, Yoga and Ayurveda, Indian Arts and Architecture, Indian Philosophy, Traditional Science & Technology |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS301PC | Discrete Mathematics | Core | 3 | Mathematical Logic, Set Theory and Relations, Functions and Sequences, Graph Theory, Algebraic Structures |
| CS302PC | Object Oriented Programming through Java | Core | 3 | OOP Concepts, Java Fundamentals, Classes, Objects, Inheritance, Polymorphism and Abstraction, Exception Handling |
| CS303PC | Computer Organization and Architecture | Core | 3 | Basic Computer Organization, CPU Organization, Memory Organization, I/O Organization, Pipelining and Parallelism |
| CS304PC | Database Management Systems | Core | 3 | DBMS Concepts, ER Model, Relational Model, SQL, Normalization, Transaction Management |
| CS305PC | Operating Systems | Core | 3 | OS Structures, Process Management, CPU Scheduling, Deadlocks, Memory Management, File Systems |
| CS306PC | Object Oriented Programming through Java Lab | Lab | 1.5 | Java Program Development, OOP Implementation, Exception Handling, Multithreading, GUI Programming (AWT/Swing) |
| CS307PC | Database Management Systems Lab | Lab | 1.5 | SQL Querying, DDL and DML Operations, Joins and Subqueries, Views and Stored Procedures, Database Design |
| CS308PC | Operating Systems Lab | Lab | 1.5 | Shell Scripting, Process Creation & Management, CPU Scheduling Algorithms, Memory Allocation Algorithms, Producer-Consumer Problem |
| CS309PC | R Programming Lab | Lab | 1.5 | R Basics, Data Structures in R, Data Manipulation, Graphics in R, Statistical Models |
| MC310 | Gender Sensitization | Audit | 0 | Gender Stereotypes, Gender Discrimination, Violence Against Women, Gender Equality Laws, Women''''s Empowerment |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS401PC | Formal Languages & Automata Theory | Core | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines |
| CS402PC | Software Engineering | Core | 3 | Software Life Cycle Models, Requirements Engineering, Software Design, Software Testing, Software Project Management |
| CS403PC | Java Full Stack Development | Core | 3 | HTML, CSS, JavaScript, JDBC and Servlets, JSP, Spring Framework, REST APIs |
| MA404BS | Probability and Statistics | Core | 3 | Basic Probability, Random Variables, Probability Distributions, Sampling and Estimation, Hypothesis Testing |
| CS405PC | Computer Networks | Core | 3 | Network Models (OSI/TCP-IP), Physical Layer, Data Link Layer, Network Layer, Transport Layer, Application Layer |
| CS406PC | Software Engineering Lab | Lab | 1.5 | Software Requirements Specification, DFD and ER Diagrams, UML Diagrams, Design Patterns, Software Testing Tools |
| CS407PC | Java Full Stack Development Lab | Lab | 1.5 | Web Page Design, Database Connectivity (JDBC), Servlets and JSP Applications, Spring Boot Projects, RESTful Web Services |
| CS408PC | Computer Networks Lab | Lab | 1.5 | Network Commands, Socket Programming, Packet Analysis with Wireshark, Router Configuration, Client-Server Applications |
| MC409 | Disaster Management | Audit | 0 | Types of Disasters, Risk Assessment, Disaster Mitigation, Disaster Preparedness, Rehabilitation |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS501PC | Data Warehousing and Data Mining | Core | 3 | Data Warehousing Concepts, OLAP and OLTP, Data Preprocessing, Mining Frequent Patterns, Classification and Clustering |
| CS502PC | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| CS503PC | Web Technologies | Core | 3 | HTML5 and CSS3, JavaScript and DOM, XML and AJAX, JSON and Web Services, Responsive Web Design |
| CS504PC | Artificial Intelligence | Core | 3 | AI Foundations, Search Algorithms, Knowledge Representation, Logic Programming, Machine Learning Basics, Natural Language Processing |
| CS511PE | Advanced Computer Architecture | Professional Elective - I | 3 | Parallel Processing, Pipelining, Vector Processors, Multiprocessors and GPUs, Memory Hierarchies |
| CS512PE | Image Processing | Professional Elective - I | 3 | Image Fundamentals, Image Enhancement, Image Restoration, Image Segmentation, Image Compression |
| CS513PE | Principles of Programming Languages | Professional Elective - I | 3 | Language Paradigms, Syntax and Semantics, Type Systems, Control Flow, Data Abstraction |
| CS514PE | Social Networks | Professional Elective - I | 3 | Graph Theory Basics, Network Structure and Properties, Centrality Measures, Community Detection, Information Diffusion |
| OE591HS | Open Elective - I | Open Elective - I | 3 | |
| CS506PC | Data Warehousing and Data Mining Lab | Lab | 1.5 | ETL Tool Usage, Data Cleaning and Integration, OLAP Cube Creation, Classification Algorithms, Clustering Algorithms |
| CS507PC | Compiler Design Lab | Lab | 1.5 | Lexical Analyzer Implementation, Parser Development, Syntax Tree Generation, Intermediate Code Generation, Code Optimization Techniques |
| CS508PC | Web Technologies Lab | Lab | 1.5 | HTML/CSS Layouts, JavaScript Interactions, XML Parsing, Web API Integration, Dynamic Web Pages |
| CS509PC | Artificial Intelligence Lab | Lab | 1.5 | Search Algorithms Implementation, Logic Programming (Prolog), Machine Learning Libraries, NLP Tool Usage, Expert System Design |
| MC510 | Professional Ethics | Audit | 0 | Ethical Theories, Professionalism, Rights and Responsibilities, Cyber Ethics, Intellectual Property Rights |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS601PC | Cryptography and Network Security | Core | 3 | Cryptography Basics, Symmetric Key Ciphers, Asymmetric Key Ciphers, Hashing and Digital Signatures, Network Security Protocols, Firewalls and IDS |
| CS602PC | Machine Learning | Core | 3 | ML Fundamentals, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Model Evaluation, Deep Learning Basics |
| CS603PC | Mobile Application Development | Core | 3 | Android/iOS Basics, UI/UX Design Principles, Activity Lifecycle, Data Storage, Networking and Notifications, Location Services |
| CS611PE | Data Analytics | Professional Elective - II | 3 | Statistical Methods, Data Visualization, Big Data Technologies, Predictive Analytics, Business Intelligence |
| CS612PE | Introduction to Internet of Things | Professional Elective - II | 3 | IoT Architecture, Sensors and Actuators, Communication Protocols, Cloud Platforms for IoT, IoT Security |
| CS613PE | High Performance Computing | Professional Elective - II | 3 | Parallel Architectures, GPU Computing, Distributed Computing, Cluster Computing, Cloud HPC |
| CS614PE | Cyber Security | Professional Elective - II | 3 | Cyber Threats and Vulnerabilities, Attack Vectors, Incident Response, Digital Forensics, Security Management |
| OE691HS | Open Elective - II | Open Elective - II | 3 | |
| CS605PC | Cryptography and Network Security Lab | Lab | 1.5 | Cryptographic Algorithms Implementation, Network Scanners (Nmap), Firewall Configuration, Intrusion Detection/Prevention Systems, Digital Certificates |
| CS606PC | Machine Learning Lab | Lab | 1.5 | Python ML Libraries (Scikit-learn), Supervised Learning Models, Unsupervised Learning Models, Model Training and Evaluation, Data Preprocessing |
| CS607PC | Mobile Application Development Lab | Lab | 1.5 | Android Studio Basics, UI Components Design, Event Handling, Database Integration (SQLite), API Calls and JSON Parsing |
| CS608PC | Mini Project (Full Stack Development / AI / ML / Cyber Security) | Project | 2 | Requirement Analysis, System Design, Implementation and Testing, Project Report Writing, Presentation Skills |
| CS609PC | Industry Ready Skill Course | Skill | 1.5 | Latest Technologies (e.g., DevOps, Cloud tools), Industry Best Practices, Problem Solving Strategies, Communication and Teamwork, Domain Specific Tools |
| MC610 | Universal Human Values | Audit | 0 | Self-exploration, Human Values, Ethics and Morality, Harmony in Family and Society, Co-existence with Nature |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS701PC | Cloud Computing | Core | 3 | Cloud Architectures, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization, Cloud Security, Cloud Platforms (AWS/Azure/GCP) |
| CS702PC | Big Data Analytics | Core | 3 | Big Data Concepts, Hadoop Ecosystem, MapReduce Framework, Spark, Data Stream Processing, NoSQL Databases |
| CS711PE | Deep Learning | Professional Elective - III | 3 | Neural Network Basics, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformers, Deep Learning Frameworks |
| CS712PE | Augmented Reality & Virtual Reality | Professional Elective - III | 3 | AR/VR Fundamentals, 3D Graphics and Rendering, Interaction Techniques, Tracking and Sensing, AR/VR Applications |
| CS713PE | Quantum Computing | Professional Elective - III | 3 | Quantum Mechanics Basics, Qubits and Superposition, Quantum Gates and Circuits, Quantum Algorithms, Quantum Cryptography |
| CS714PE | Block Chain Technology | Professional Elective - III | 3 | Cryptographic Hashes, Distributed Ledgers, Consensus Mechanisms, Smart Contracts, Cryptocurrencies |
| CS721PE | Natural Language Processing | Professional Elective - IV | 3 | NLP Tasks, Text Preprocessing, N-grams and Language Models, Word Embeddings, POS Tagging and Parsing, Sentiment Analysis |
| CS722PE | Computer Vision | Professional Elective - IV | 3 | Image Features, Object Detection, Image Recognition, Deep Learning for Vision, Applications of CV |
| CS723PE | Ethical Hacking | Professional Elective - IV | 3 | Reconnaissance, Scanning and Enumeration, Vulnerability Analysis, System Hacking, Penetration Testing |
| CS724PE | Robotic Process Automation | Professional Elective - IV | 3 | RPA Tools (e.g., UiPath, Blue Prism), Process Automation, Bots and Workflows, RPA Deployment, Benefits of RPA |
| OE791HS | Open Elective - III | Open Elective - III | 3 | |
| CS704PC | Cloud Computing Lab | Lab | 1.5 | AWS/Azure/GCP Services, Virtual Machines Setup, Storage Services (S3/Blob), Database Services (RDS/Cosmos DB), Serverless Functions |
| CS705PC | Big Data Analytics Lab | Lab | 1.5 | Hadoop Commands, MapReduce Programming, Spark Applications, Hive Queries, Pig Scripts |
| CS706PC | Advanced English Language and Communication Skills (AELCS) Lab | Lab | 1.5 | Advanced Public Speaking, Interview Techniques, Group Discussions, Professional Writing, Technical Presentations |
| CS707PC | Project Stage - I | Project | 2 | Literature Survey, Problem Identification, System Design, Initial Implementation, Project Documentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS811PE | Full Stack Development | Professional Elective - V | 3 | Frontend Frameworks (React/Angular), Backend Frameworks (Node.js/Spring), Database Integration, API Development, Deployment Strategies |
| CS812PE | Reinforcement Learning | Professional Elective - V | 3 | Markov Decision Processes, Q-Learning, Deep Reinforcement Learning, Policy Gradients, Reward Design |
| CS813PE | Data Science using Python | Professional Elective - V | 3 | Python for Data Analysis, Pandas and NumPy, Scikit-learn, Data Visualization (Matplotlib/Seaborn), Case Studies in Data Science |
| CS814PE | DevOps | Professional Elective - V | 3 | CI/CD Pipelines, Version Control (Git), Containerization (Docker), Orchestration (Kubernetes), Automation Tools (Jenkins/Ansible) |
| OE891HS | Open Elective - IV | Open Elective - IV | 3 | |
| CS803PC | Project Stage - II | Project | 10 | Advanced Implementation, Testing and Validation, Performance Evaluation, Comprehensive Documentation, Project Defense |
