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BE in Computer Science And Engineering at Dayananda Sagar Academy of Technology and Management
Bengaluru, Karnataka
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About the Specialization
What is Computer Science and Engineering at Dayananda Sagar Academy of Technology and Management Bengaluru?
This Computer Science and Engineering program at Dayananda Sagar Academy of Technology and Management develops strong foundational and advanced computing skills. It blends theoretical concepts with practical application, addressing the evolving demands of the Indian IT industry. The curriculum prepares students for innovative roles in software development, data science, cybersecurity, and emerging technologies, emphasizing problem-solving in India''''s dynamic tech landscape.
Who Should Apply?
This program is ideal for fresh graduates seeking entry into India''''s dynamic IT sector, especially in software engineering, data analytics, and cloud computing. It suits students with strong aptitude for mathematics and logical reasoning, aspiring to become innovators or tech entrepreneurs. Individuals keen to gain industry-relevant skills and contribute to India''''s digital transformation will find this beneficial.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths like Software Engineer, Data Scientist, AI/ML Engineer, and Cloud Architect in leading Indian and multinational companies. Entry-level salaries typically range from INR 4-8 lakhs annually, with significant growth potential. The program facilitates trajectories into leadership and specialized technical roles, aligning with professional certifications such as AWS and Azure.
Student Success Practices
Foundation Stage
Build Strong Programming Fundamentals- (Semester 1-2)
Focus rigorously on core programming concepts (C/Java) and data structures. Understand algorithms thoroughly, as these form the bedrock of all advanced computer science topics. Regularly practice coding problems to enhance logical thinking and problem-solving abilities.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks
Career Connection
A solid grasp of fundamentals is crucial for cracking technical interviews and excelling in initial software development roles, ensuring a strong start in companies.
Develop Effective Study Habits and Peer Learning- (Semester 1-2)
Establish a consistent study routine, review concepts regularly, and actively participate in class discussions. Form study groups with peers to discuss challenging topics, solve assignments collaboratively, and prepare for exams, leveraging diverse perspectives and mutual support.
Tools & Resources
College library resources, online academic platforms, collaborative whiteboards, peer groups
Career Connection
Strong academic performance and collaborative skills are valued by employers. Peer learning builds teamwork, essential for future project management and professional environments.
Explore Engineering Disciplines and Basic Tools- (Semester 1-2)
While focusing on core CSE, keep an open mind about other engineering subjects like electronics and mechanical, which provide a holistic engineering perspective. Learn basic engineering drawing and CAD tools. Understand the basics of electrical components and circuits.
Tools & Resources
CAD software, basic electronics kits, university workshops, YouTube tutorials
Career Connection
This broader understanding helps in interdisciplinary projects, appreciating hardware-software interaction, and developing a versatile engineering mindset, useful for product development and IoT roles.
Intermediate Stage
Apply Data Structures and Algorithms to Real Problems- (Semester 3-4)
Go beyond theoretical understanding; implement data structures and algorithms in actual mini-projects or competitive programming challenges. Focus on optimizing solutions for time and space complexity. Participate in coding competitions to test and refine skills.
Tools & Resources
LeetCode, Codeforces, GitHub, HackerRank contests
Career Connection
Proficiency in DSA is a non-negotiable skill for product-based companies and top-tier service companies, directly impacting interview performance and problem-solving capabilities in a professional setting.
Seek Early Industry Exposure and Internships- (Semester 4-5)
Actively look for short-term internships, summer training, or research projects, even if unpaid, to understand industry workflows and gain practical experience. Attend industry workshops, seminars, and guest lectures to network and learn about emerging trends in Bengaluru''''s tech ecosystem.
Tools & Resources
College placement cell, LinkedIn, Internshala, company career pages, tech meetups
Career Connection
Early exposure helps validate career interests, build a professional network, and makes students more attractive to recruiters for future placements. It provides real-world context for academic learning.
Specialize with Electives and Certifications- (Semester 5-6)
Choose professional electives strategically based on career interests (e.g., AI/ML, Cloud, Data Science). Supplement academic learning with online certifications from platforms like Coursera, Udemy, or NPTEL in chosen specialization areas to gain in-depth knowledge and industry-recognized credentials.
Tools & Resources
Coursera, NPTEL, Udemy, AWS certifications, Azure certifications, GCP certifications
Career Connection
Specialized skills make students highly marketable for targeted roles in specific tech domains, enhancing their resume and increasing the chances of securing desirable job offers.
Advanced Stage
Undertake Impactful Capstone Projects- (Semester 7-8)
Collaborate on substantial final year projects that solve real-world problems or explore innovative solutions. Focus on end-to-end development, using advanced technologies and demonstrating strong architectural design, implementation, and documentation.
Tools & Resources
GitHub, GitLab, Jira, Trello, development frameworks, cloud platforms
Career Connection
High-quality projects are excellent talking points in interviews, showcasing practical skills, teamwork, and problem-solving abilities, directly influencing placement opportunities and attracting employers.
Master Placement Preparation and Soft Skills- (Semester 7-8)
Dedicate significant time to rigorous placement preparation including mock interviews (technical and HR), aptitude tests, resume building, and group discussion practice. Enhance soft skills like communication, leadership, and critical thinking, which are vital for corporate success.
Tools & Resources
Placement cell workshops, online aptitude platforms (e.g., Indiabix), mock interview platforms, career counselors
Career Connection
Strong preparation ensures students confidently navigate the competitive Indian job market, securing placements in desired companies and starting their careers successfully.
Leverage Internship for Full-Time Opportunity- (Semester 8)
Treat the final semester internship as an extended interview. Demonstrate exceptional technical skills, proactiveness, and team compatibility. Aim for a Pre-Placement Offer (PPO) by consistently delivering high-quality work and integrating well with the company culture.
Tools & Resources
Company-specific tools, internal documentation, mentor feedback
Career Connection
A successful internship often leads directly to a full-time job offer, providing a smooth transition into the professional world and avoiding the stress of campus placements.
Program Structure and Curriculum
Eligibility:
- A pass in PUC/10+2 with Physics and Mathematics as compulsory subjects along with Chemistry/Biotechnology/Biology/Electronics/Computer Science and an aggregate minimum of 45% (40% for SC/ST/OBC candidates of Karnataka state) in optional subjects.
Duration: 8 semesters / 4 years
Credits: 147 Credits
Assessment: Internal: 40%, External: 60%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21FWS11 | Calculus and Differential Equations | Core | 4 | Differential Calculus, Integral Calculus, Multivariable Calculus, Vector Calculus, Differential Equations |
| 21FWS12 | Applied Physics | Core | 4 | Quantum Mechanics, Solid State Physics, Lasers and Fiber Optics, Superconductivity, Nanotechnology |
| 21FWS13 | Basic Electrical Engineering | Core | 3 | DC Circuits, AC Circuits, Transformers, Electrical Machines, Semiconductor Devices |
| 21FWS14 | Elements of Civil Engineering and Mechanics | Core | 3 | Building Materials, Surveying, Engineering Mechanics, Dynamics, Structural Elements |
| 21FWS15 | Professional English | Core | 2 | Reading Comprehension, Writing Skills, Oral Communication, Technical Reports, Presentation Skills |
| 21FWSL16 | Applied Physics Laboratory | Lab | 1 | Semiconductor diode characteristics, Photoelectric effect, Laser wavelength, Optical fiber characteristics, Dielectric constant measurement |
| 21FWSL17 | Basic Electrical Engineering Laboratory | Lab | 1 | Ohm''''s Law, Kirchhoff''''s Laws, AC circuit analysis, Transformer efficiency, DC motor characteristics |
| 21FWSL18 | Engineering Graphics | Lab | 2 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, CAD tools introduction |
| 21FWSL19 | Health and Wellness | Mandatory Non-Credit Course | 0 | Physical Health, Mental Health, Stress Management, Nutrition, First Aid |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21FWS21 | Linear Algebra and Differential Equations | Core | 4 | Matrices and Determinants, Vector Spaces, Eigenvalues, Linear Transformations, Ordinary Differential Equations |
| 21FWS22 | Engineering Chemistry | Core | 4 | Electrochemistry, Corrosion, Fuel Cells, Polymers, Water Technology |
| 21FWS23 | Programming for Problem Solving | Core | 3 | C Language Fundamentals, Control Statements, Functions, Arrays, Pointers |
| 21FWS24 | Elements of Mechanical Engineering | Core | 3 | Thermodynamics, IC Engines, Refrigeration, Power Transmission, Manufacturing Processes |
| 21FWS25 | Environmental Studies | Core | 2 | Ecosystems, Biodiversity, Pollution Control, Waste Management, Climate Change |
| 21FWSL26 | Engineering Chemistry Laboratory | Lab | 1 | Acid-base titrations, Water hardness determination, Potentiometric titrations, Viscosity measurement, Calorimetry |
| 21FWSL27 | Programming for Problem Solving Laboratory | Lab | 1 | C program implementation, Conditional statements, Looping constructs, Array manipulation, Function calls |
| 21FWSL28 | Computer Aided Engineering Drawing | Lab | 2 | CAD software basics, Geometric constructions, Orthographic projections, Sectional views, Assembly drawings |
| 21FWSL29 | Universal Human Values | Mandatory Non-Credit Course | 0 | Self-exploration, Human relationships, Society, Nature, Ethics |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS31 | Transforms and Numerical Methods | Core | 3 | Fourier Series, Fourier Transforms, Z-Transforms, Numerical Solutions of ODEs, Interpolation |
| 21CS32 | Data Structures and Applications | Core | 3 | Arrays, Linked Lists, Stacks, Queues, Trees, Graphs |
| 21CS33 | Analog and Digital Electronics | Core | 3 | Diodes, Transistors, Operational Amplifiers, Logic Gates, Combinational Circuits, Sequential Circuits |
| 21CS34 | Computer Organization and Architecture | Core | 3 | Basic Computer Functions, CPU Organization, Memory Hierarchy, I/O Organization, Pipelining |
| 21CS35 | Object Oriented Programming with JAVA | Core | 3 | OOP Concepts, Classes and Objects, Inheritance, Polymorphism, Exception Handling, Collections |
| 21CSL36 | Data Structures Laboratory | Lab | 1 | Implement arrays, Implement linked lists, Implement stacks, Implement queues, Implement trees, Implement graphs |
| 21CSL37 | Analog and Digital Electronics Laboratory | Lab | 1 | Diode characteristics, Transistor characteristics, Logic gate verification, Combinational circuit design, Sequential circuit design |
| 21CSL38 | Object Oriented Programming with JAVA Laboratory | Lab | 1 | Class and object creation, Inheritance implementation, Polymorphism examples, Exception handling, File I/O |
| 21CST39 | Technical Communication and Professional Skills | Mandatory Non-Credit Course | 0 | Verbal Communication, Non-Verbal Communication, Presentation Skills, Group Discussion, Interview Skills |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS41 | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms, NP-Completeness |
| 21CS42 | Operating Systems | Core | 3 | Process Management, CPU Scheduling, Memory Management, Virtual Memory, File Systems, Deadlocks |
| 21CS43 | Microcontroller and Embedded Systems | Core | 3 | Microcontroller Architecture, Instruction Set, Peripheral Devices, Embedded C Programming, Interfacing |
| 21CS44 | Database Management Systems | Core | 3 | Data Models, SQL, Relational Algebra, Normalization, Transaction Management, Concurrency Control |
| 21CS45 | Web Technologies | Core | 3 | HTML, CSS, JavaScript, XML, Web Servers, Database Connectivity |
| 21CSL46 | Design and Analysis of Algorithms Laboratory | Lab | 1 | Sorting algorithms, Searching algorithms, Graph traversal, Shortest path algorithms, Minimum spanning tree |
| 21CSL47 | Operating Systems Laboratory | Lab | 1 | Shell scripting, Process creation, Inter-process communication, CPU scheduling, Memory allocation |
| 21CSL48 | Database Management Systems Laboratory | Lab | 1 | SQL queries, Database design, ER diagrams, Stored procedures, Triggers |
| 21CST49 | Constitution of India, Professional Ethics and Cyber Law | Mandatory Non-Credit Course | 0 | Indian Constitution, Fundamental Rights, Professional Ethics, Cyber Crime, IT Act |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS51 | Software Engineering | Core | 3 | Software Life Cycle, Requirements Engineering, Design Principles, Testing, Project Management |
| 21CS52 | Computer Networks | Core | 3 | Network Topologies, OSI Model, TCP/IP Protocol Suite, Routing, Congestion Control, Network Security |
| 21CS53 | Automata Theory and Computability | Core | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Turing Machines, Undecidability |
| 21CS54X | Professional Elective 1 (e.g., Artificial Intelligence) | Elective | 3 | AI Agents, Search Algorithms, Knowledge Representation, Machine Learning Introduction, Natural Language Processing |
| 21CS55X | Open Elective 1 | Elective (Open) | 3 | |
| 21CSL56 | Computer Networks Laboratory | Lab | 1 | Network configuration, Socket programming, Protocol implementation, Routing protocols, Network security tools |
| 21CSL57 | Project Work Phase 1 and Seminar | Project/Seminar | 2 | Problem identification, Literature survey, Project proposal, System design, Presentation skills |
| 21CSIC58 | Internship / Industrial Training | Internship | 2 | Industry exposure, Practical skill application, Project implementation, Report writing, Professional etiquette |
| 21CSMP59 | Mini Project | Project | 1 | Problem solving, System development, Tool usage, Report documentation, Presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS61 | Cryptography and Network Security | Core | 3 | Cryptographic Algorithms, Public Key Cryptography, Hashing, Digital Signatures, Network Security Protocols, Firewalls |
| 21CS62 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization, Code Generation |
| 21CS63X | Professional Elective 2 (e.g., Machine Learning) | Elective | 3 | Supervised Learning, Unsupervised Learning, Neural Networks, Deep Learning Introduction, Model Evaluation |
| 21CS64X | Professional Elective 3 (e.g., Internet of Things) | Elective | 3 | IoT Architecture, IoT Devices, Sensors and Actuators, Communication Protocols, Cloud Integration, Security |
| 21CS65X | Open Elective 2 | Elective (Open) | 3 | |
| 21CSL66 | Cryptography and Network Security Laboratory | Lab | 1 | Symmetric key algorithms, Asymmetric key algorithms, Hashing functions, Digital signature implementation, Network scanning tools |
| 21CSL67 | Machine Learning Laboratory | Lab | 1 | Supervised learning algorithms, Unsupervised learning algorithms, Model training, Feature engineering, Performance evaluation |
| 21CSL68 | Project Work Phase 2 | Project | 2 | Implementation, Testing, Documentation, Code review, Project demonstration |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS71 | Big Data Analytics | Core | 3 | Big Data Ecosystem, Hadoop, MapReduce, HDFS, Spark, NoSQL Databases |
| 21CS72 | Cloud Computing | Core | 3 | Cloud Service Models, Cloud Deployment Models, Virtualization, Cloud Security, Cloud Platforms (AWS/Azure/GCP), Serverless Computing |
| 21CS73X | Professional Elective 4 (e.g., Deep Learning) | Elective | 3 | Neural Network Architectures, Convolutional Neural Networks, Recurrent Neural Networks, Autoencoders, Generative Adversarial Networks |
| 21CS74X | Professional Elective 5 (e.g., Data Science) | Elective | 3 | Data Collection, Data Cleaning, Exploratory Data Analysis, Statistical Modeling, Data Visualization, Predictive Analytics |
| 21CSL75 | Project Work Phase 3 and Internship | Project/Internship | 2 | Advanced project development, Real-world application, Final report generation, Internship deliverables, Viva-voce |
| 21CSS76 | Seminar | Seminar | 1 | Technical topic research, Literature review, Presentation skills, Q&A handling, Report writing |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS81 | Professional Practice and Ethics | Core | 3 | Ethical Theories, Intellectual Property Rights, Professional Responsibility, Cyber Law, Sustainable Development |
| 21CS82 | Major Project Work | Project | 8 | Comprehensive system design, Advanced implementation, Extensive testing, Project management, Technical documentation, Presentation and demonstration |
| 21CS83 | Internship (24 Weeks) | Internship | 5 | Industry immersion, Real-time project work, Problem-solving in professional setting, Report and presentation, Career preparation |
