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B-E in Computer Science Engineering at Acharya Institute of Technology
Bengaluru, Karnataka
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About the Specialization
What is Computer Science & Engineering at Acharya Institute of Technology Bengaluru?
This Computer Science & Engineering program at Acharya Institute of Technology focuses on foundational computing principles and advanced applications. It prepares students for a dynamic Indian tech landscape, emphasizing both theoretical knowledge and practical skills in areas like artificial intelligence, data science, and cloud computing, which are crucial for India''''s digital economy. The program''''s blend of core subjects and diverse electives makes it highly relevant to industry demands.
Who Should Apply?
This program is ideal for ambitious 10+2 graduates with a strong aptitude for mathematics and logical reasoning, aspiring to build a career in technology. It also suits working professionals seeking to upskill in cutting-edge domains like AI/ML or cybersecurity, and career changers from allied fields looking to transition into the fast-paced IT sector. A basic understanding of programming concepts is beneficial, but not strictly mandatory.
Why Choose This Course?
Graduates of this program can expect promising career paths in leading Indian and multinational companies as Software Developers, Data Scientists, AI Engineers, Cybersecurity Analysts, and Cloud Architects. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning INR 15-30+ LPA. The curriculum aligns with requirements for various professional certifications, fostering continuous growth and leadership roles within the Indian tech industry.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Focus intensely on C and Python programming fundamentals, data types, control structures, and basic algorithms. Practice daily coding challenges on platforms like HackerRank and LeetCode to build problem-solving muscle memory.
Tools & Resources
CodeChef, GeeksforGeeks, Python.org documentation, VS Code
Career Connection
Strong coding fundamentals are the bedrock for cracking technical interviews and excelling in any software development role.
Excel in Engineering Mathematics- (Semester 1-2)
Pay close attention to Calculus, Linear Algebra, and Discrete Mathematics. Solve a variety of problems regularly and utilize online tutorials and peer study groups for clarification. Understand the logical underpinnings of each concept.
Tools & Resources
NPTEL courses, Khan Academy, Local study groups, Reference textbooks
Career Connection
These mathematical concepts are crucial for understanding advanced algorithms, machine learning, and data science, which are high-demand skills in the tech industry.
Engage in Mini-Projects and Hackathons- (Semester 2 (towards end))
Participate in departmental or inter-college mini-projects and hackathons. Even simple projects like a calculator or a basic game in C/Python will solidify concepts, foster teamwork, and develop initial problem-solving skills.
Tools & Resources
GitHub for version control, Local IDEs (e.g., Code::Blocks, PyCharm), Hackathon platforms
Career Connection
Practical experience, even from small projects, builds a foundational portfolio and demonstrates initiative to recruiters, laying the groundwork for future internships.
Intermediate Stage
Deep Dive into Data Structures and Algorithms (DSA)- (Semester 3-4)
Master advanced DSA concepts like trees, graphs, dynamic programming, and various sorting/searching algorithms. Consistent practice on platforms like InterviewBit and CodeForces is essential for building proficiency.
Tools & Resources
InterviewBit, LeetCode, Cracking the Coding Interview book, YouTube tutorials (e.g., Kunal Kushwaha)
Career Connection
DSA proficiency is fundamental for cracking technical interviews at top tech companies and is crucial for building efficient and scalable software systems.
Build Real-world Projects and Contribute to Open Source- (Semester 4-5)
Apply theoretical knowledge to develop substantial projects (e.g., web application, mobile app, simple AI model). Actively contribute to open-source projects on GitHub, starting with small bug fixes or documentation improvements.
Tools & Resources
GitHub, Stack Overflow, Frameworks like Spring Boot or Flask/Django, Docker
Career Connection
A strong project portfolio and open-source contributions significantly boost resume visibility and showcase practical, industry-relevant skills to potential employers.
Explore Specializations through Electives and Certifications- (Semester 5)
Carefully choose professional electives based on your career interests (e.g., Data Science, Cybersecurity, Cloud Computing). Supplement your learning with online certifications from platforms like Coursera, Udemy, or NPTEL in your chosen area.
Tools & Resources
Coursera, Udemy, NPTEL, edX, Official documentation for technologies
Career Connection
Specialization helps in targeting specific roles, demonstrates focused interest, and provides an edge in a competitive job market by showcasing niche expertise.
Advanced Stage
Undertake Industry Internships and Major Projects- (Semester 6-7)
Secure internships (paid or unpaid) in relevant industries to gain hands-on experience and industry exposure. Work on a significant final year project that solves a real-world problem or innovates a solution.
Tools & Resources
LinkedIn, Internshala, College placement cell, Industry mentors
Career Connection
Internships often lead to pre-placement offers, and a well-executed major project is a strong talking point in interviews, demonstrating comprehensive problem-solving and implementation skills.
Master Interview Preparation and Soft Skills- (Semester 7-8)
Dedicate significant time to mock interviews, aptitude tests, and group discussions. Refine communication, presentation, and teamwork skills. Practice explaining projects and technical concepts clearly and concisely.
Tools & Resources
Placement cells, Interview prep books (e.g., by Gayle Laakmann McDowell), Public speaking clubs, Online platforms like GeeksforGeeks interview section
Career Connection
Excellent soft skills and thorough interview preparation are crucial for converting technical proficiency into successful job offers, regardless of the role.
Network Professionally and Attend Industry Events- (Semester 6-8)
Attend technical conferences, workshops, and networking events (both online and offline) in Bengaluru. Connect with industry professionals on LinkedIn, seeking mentorship, career advice, and insights into emerging tech trends.
Tools & Resources
LinkedIn, Industry meetups (e.g., Meetup.com), Professional organizations (e.g., IEEE student chapters), Tech news portals
Career Connection
Networking opens doors to hidden job opportunities, valuable career guidance, and potential collaborations, significantly accelerating professional growth in the vibrant Indian tech scene.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 with Physics and Mathematics as compulsory subjects along with Chemistry/Biotechnology/Biology/Electronics/Computer Science. Obtained at least 45% marks (40% for SC/ST/OBC in Karnataka). Must qualify in an entrance examination like CET/COMEDK/JEE/AIEEE.
Duration: 8 semesters / 4 years
Credits: 168 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MAT11 | Mathematics-I for Computer Science Engineering Stream | Core | 4 | Calculus and Differential Equations, Applications of First Order Differential Equations, Multivariable Calculus, Vector Calculus, Linear Algebra |
| 21PCD12 | Programming for Problem Solving | Core | 4 | Introduction to C Programming, Control Structures, Functions and Modular Programming, Arrays and Strings, Structures and Pointers |
| 21ELE13 | Basic Electrical Engineering | Core | 3 | DC Circuits and Network Theorems, AC Fundamentals, Three-Phase AC Circuits, Transformers, Electrical Machines |
| 21CIV14 | Elements of Civil Engineering & Mechanics | Core | 3 | Basics of Civil Engineering, Engineering Mechanics, Centre of Gravity and Moment of Inertia, Building Materials, Surveying and Transportation |
| 21EGDL15 | Engineering Graphics | Lab | 3 | Plane Curves and Conics, Projections of Points and Lines, Projections of Planes, Projections of Solids, Orthographic and Isometric Projections |
| 21WPL16 | Workshop Practice | Lab | 1 | Fitting Operations, Carpentry Joints, Welding Processes, Sheet Metal Operations, Foundry Practice |
| 21HSM17 | Communicative English | Mandatory Non-Credit Course | 1 | Listening Skills, Speaking Skills and Presentations, Reading Comprehension, Writing Skills and Grammar, Vocabulary Building |
| 21SCP18 | Samvidhana Parichaya (Constitution of India) | Mandatory Non-Credit Course | 1 | Indian Constitution Features, Fundamental Rights and Duties, Directive Principles of State Policy, Union and State Governments, Elections and Amendments |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MAT21 | Mathematics-II for Computer Science Engineering Stream | Core | 4 | Vector Spaces and Subspaces, Linear Transformations, Eigenvalues and Eigenvectors, Numerical Methods, Complex Analysis |
| 21PCD22 | Programming for Problem Solving (Python) | Core | 4 | Introduction to Python, Control Flow and Functions, Data Structures in Python, Object-Oriented Programming with Python, File Handling and Exceptions |
| 21PHY23 | Engineering Physics | Core | 3 | Quantum Mechanics, Lasers and Holography, Optical Fibers, Material Science, Nanotechnology and Applications |
| 21EME24 | Elements of Mechanical Engineering | Core | 3 | Thermodynamics and Laws, Steam and Gas Power Cycles, Internal Combustion Engines, Refrigeration and Air Conditioning, Renewable Energy Sources |
| 21CHEL25 | Engineering Chemistry | Lab | 3 | Water Analysis and Treatment, Corrosion and its Control, Electrochemical Cells and Batteries, Polymers and Plastics, Fuels and Combustion |
| 21ESDL26 | Engineering Skill Development Lab | Lab | 1 | Basic Electronic Components, Soldering and PCB Design, Sensors and Actuators, Introduction to Microcontrollers, Basic Electrical Wiring |
| 21KANN27 | Kannada (Professional Communication) | Mandatory Non-Credit Course | 1 | Kannada Grammar Fundamentals, Functional Kannada for Daily Use, Technical Kannada Vocabulary, Spoken Kannada Practice, Kannada Culture and Literature |
| 21ENV28 | Environmental Studies | Mandatory Non-Credit Course | 1 | Ecosystems and Biodiversity, Environmental Pollution and Control, Natural Resources and Management, Environmental Ethics, Sustainable Development |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MAT31 | Mathematics-III for Computer Science Engineering Stream | Core | 4 | Fourier Series and Transforms, Z-Transforms, Numerical Methods, Probability Theory, Random Variables |
| 21CS31 | Data Structures | Core | 3 | Introduction to Data Structures, Stacks and Queues, Linked Lists, Trees and Binary Search Trees, Graphs and Hashing |
| 21CS32 | Analog and Digital Electronics | Core | 3 | Semiconductor Devices, Bipolar Junction Transistors, Digital Logic Families, Combinational Logic Circuits, Sequential Logic Circuits |
| 21CS33 | Computer Organization and Architecture | Core | 3 | Basic Structure of Computers, Machine Instructions and Programs, Input/Output Organization, Memory System Design, Pipelining and Parallelism |
| 21CS34 | Object Oriented Programming with Java | Core | 3 | Classes, Objects, and Methods, Inheritance and Polymorphism, Interfaces and Packages, Exception Handling, Multithreading and Applets |
| 21CS35 | Discrete Mathematical Structures | Core | 3 | Set Theory and Logic, Relations and Functions, Graph Theory, Algebraic Structures, Lattices and Boolean Algebra |
| 21CSL36 | Data Structures Laboratory | Lab | 1 | Implementation of Stacks and Queues, Linked List Operations, Tree Traversal Algorithms, Graph Algorithms, Sorting and Searching Algorithms |
| 21CSL37 | Object Oriented Programming with Java Laboratory | Lab | 1 | Java Programs for Classes and Objects, Inheritance and Polymorphism Implementation, Exception Handling in Java, Multithreading Applications, File I/O Operations |
| 21CIP39 | Constitution of India, Professional Ethics & Cyber Law | Mandatory Non-Credit Course | 1 | Indian Constitution and Governance, Fundamental Rights and Duties, Professional Ethics in Engineering, Cyber Law and its Provisions, Human Rights and Social Responsibilities |
| 21ICSH39 | Internship-1 (Activity Based Learning) | Internship | 2 | Work Experience, Skill Development, Report Writing, Presentation Skills, Industry Exposure |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21MAT41 | Mathematics-IV for Computer Science Engineering Stream | Core | 4 | Complex Variables and Functions, Probability Distributions, Sampling Theory, Statistical Inference, Joint Probability Distribution |
| 21CS41 | Design and Analysis of Algorithms | Core | 3 | Algorithm Analysis Techniques, Divide and Conquer Algorithms, Greedy Method, Dynamic Programming, Backtracking and Branch-and-Bound |
| 21CS42 | Microcontroller and Embedded Systems | Core | 3 | Introduction to Microcontrollers, 8051 Microcontroller Architecture, 8051 Instruction Set and Programming, Interfacing with Peripherals, Embedded System Concepts |
| 21CS43 | Operating Systems | Core | 3 | Introduction to Operating Systems, Process Management and Scheduling, Memory Management Techniques, File Systems and I/O Systems, Deadlocks and Concurrency Control |
| 21CS44 | Database Management Systems | Core | 3 | Introduction to DBMS, Relational Model and Algebra, SQL Queries and Schema Definition, Database Design (ER and Normalization), Transaction Management and Concurrency |
| 21CS45 | Web Technologies | Core | 3 | HTML5 and CSS3, JavaScript and DOM, XML and AJAX, Web Servers and Web Security, PHP and Database Connectivity |
| 21CSL46 | Microcontroller and Embedded Systems Laboratory | Lab | 1 | Assembly Language Programming, Interfacing with 8051 Microcontroller, Embedded C Programming, Timer and Interrupt Programming, UART Communication |
| 21CSL47 | Database Management Systems Laboratory | Lab | 1 | SQL DDL and DML Commands, Joins and Subqueries, Views and Triggers, Stored Procedures and Functions, ER Diagrams and Schema Implementation |
| 21HSM48 | Universal Human Values | Mandatory Non-Credit Course | 1 | Self-Exploration and Self-Investigation, Harmony in the Family, Harmony in Society, Harmony in Nature/Existence, Professional Ethics |
| 21ICSH49 | Internship-1 (Activity Based Learning) | Internship | 2 | Work Experience, Skill Development, Report Writing, Presentation Skills, Industry Exposure |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS51 | Computer Networks | Core | 3 | Network Models and Topologies, Physical Layer and Data Link Layer, Network Layer and IP Addressing, Transport Layer (TCP/UDP), Application Layer Protocols |
| 21CS52 | Automata Theory and Computability | Core | 3 | Finite Automata and Regular Expressions, Context-Free Grammars and Pushdown Automata, Turing Machines and Computability, Decidability and Undecidability, Chomsky Hierarchy |
| 21CS53 | Software Engineering | Core | 3 | Software Process Models, Requirements Engineering, Design Engineering, Software Testing Strategies, Software Project Management |
| 21CS54X | Professional Elective – 1 (Example: Introduction to Data Science) | Elective | 3 | Data Science Overview, Data Preprocessing, Exploratory Data Analysis, Supervised Learning Basics, Unsupervised Learning Basics |
| 21CSO55X | Open Elective – 1 | Elective | 3 | |
| 21CSL56 | Computer Networks Laboratory | Lab | 1 | Network Commands and Utilities, Socket Programming (TCP/UDP), Client-Server Applications, Network Simulation Tools, Routing Protocols Implementation |
| 21CSI57 | Internship-1 (Activity Based) | Internship | 2 | Internship Report Preparation, Technical Presentation, Skill Acquisition, Practical Problem Solving, Industry Exposure |
| 21PCSP58 | Professional Core Skill Project – 1 | Project | 2 | Problem Identification and Scoping, Design and Architecture, Implementation and Coding, Testing and Debugging, Project Documentation and Presentation |
| 21ICST59 | Internship / Activity Based Learning | Mandatory Non-Credit Course | 2 | |
| 21IDT59 | Innovation & Design Thinking | Mandatory Non-Credit Course | 2 | Introduction to Design Thinking, Empathize and Research, Define the Problem, Ideate Solutions, Prototype and Test |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS61 | Machine Learning | Core | 3 | Introduction to Machine Learning, Supervised Learning Algorithms, Unsupervised Learning Algorithms, Deep Learning Fundamentals, Model Evaluation and Validation |
| 21CS62 | Cloud Computing | Core | 3 | Cloud Computing Concepts, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization Technology, Cloud Security and Management |
| 21CS63 | Compiler Design | Core | 3 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization and Generation |
| 21CS64X | Professional Elective – 2 (Example: Artificial Intelligence) | Elective | 3 | Foundations of AI, Problem-Solving using Search, Knowledge Representation and Reasoning, Machine Learning Basics, Natural Language Processing Fundamentals |
| 21CSO65X | Open Elective – 2 | Elective | 3 | |
| 21CSL66 | Machine Learning Laboratory | Lab | 1 | Python for Machine Learning, Implementing Supervised Algorithms, Implementing Unsupervised Algorithms, Using Deep Learning Frameworks, Model Deployment and Evaluation |
| 21CS67 | Project Work Phase 1 + Seminar | Project | 2 | Problem Statement and Literature Survey, Methodology and Planning, Preliminary Design, Seminar Presentation, Initial Implementation |
| 21CIE68 | Industry Driven Internship | Internship | 2 | Real-world Project Experience, Industry Best Practices, Professional Skill Enhancement, Mentorship and Feedback, Internship Report and Presentation |
| 21ICST69 | Internship / Activity Based Learning | Mandatory Non-Credit Course | 2 | |
| 21IDT69 | Innovation & Design Thinking | Mandatory Non-Credit Course | 2 | Introduction to Design Thinking, Empathize and Research, Define the Problem, Ideate Solutions, Prototype and Test |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS71X | Professional Elective – 3 (Example: Data Warehousing and Data Mining) | Elective | 3 | Data Warehousing Concepts, OLAP and Multidimensional Data, Data Preprocessing, Association Rule Mining, Classification and Clustering Techniques |
| 21CS72X | Professional Elective – 4 (Example: Natural Language Processing) | Elective | 3 | NLP Fundamentals and Text Processing, Language Modeling, Text Classification, Sequence Labeling, Deep Learning for NLP |
| 21CS73 | Project Work Phase 2 | Project | 8 | System Design and Architecture, Implementation and Development, Testing and Validation, Project Report Writing, Presentation and Demonstration |
| 21CSS74 | Seminar/Technical Talk | Project | 2 | Research and Literature Review, Topic Selection and Scoping, Technical Presentation Skills, Q&A and Discussion, Report Preparation |
| 21CSI75 | Internship - 2 | Internship | 2 | Advanced Project Work, Industry Collaboration, Professional Networking, Skill Enhancement, Final Internship Report |
| 21IDT76 | Innovation & Design Thinking | Mandatory Non-Credit Course | 2 | Introduction to Design Thinking, Empathize and Research, Define the Problem, Ideate Solutions, Prototype and Test |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21CS81X | Professional Elective – 5 (Example: Deep Learning) | Elective | 3 | Neural Network Architectures, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Deep Learning Frameworks, Reinforcement Learning |
| 21CS82 | Project Work Final | Project | 9 | Comprehensive System Development, Testing and Evaluation, Project Thesis Writing, Project Demonstration, Viva-Voce Examination |
