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B-TECH in Computer Science And Engineering at Alliance University
Bengaluru, Karnataka
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About the Specialization
What is Computer Science and Engineering at Alliance University Bengaluru?
This Computer Science and Engineering program at Alliance University focuses on equipping students with foundational and advanced knowledge in computing. The curriculum is designed to meet the evolving demands of the Indian IT industry, emphasizing core programming, data structures, algorithms, and emerging areas like AI and cybersecurity. It aims to develop skilled professionals capable of innovating and solving complex problems.
Who Should Apply?
This program is ideal for fresh 10+2 graduates with a strong aptitude for mathematics and problem-solving, seeking entry into the dynamic field of software development, data science, or network engineering. It also benefits those aspiring to pursue higher education or research in computer science, and individuals keen on contributing to India''''s burgeoning technology sector with a solid engineering foundation.
Why Choose This Course?
Graduates of this program can expect diverse India-specific career paths, including roles as Software Developers, Data Scientists, Cybersecurity Analysts, and Cloud Engineers. Entry-level salaries typically range from INR 4-8 LPA, growing significantly with experience. The program aligns with industry certifications, providing a strong foundation for professional growth in leading Indian and multinational IT companies.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Dedicate significant time to practice core programming concepts (C/C++, Python) from problem-solving to data structures. Focus on logic building and efficient algorithm implementation to secure a strong base for advanced courses.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, Online C/C++ compilers
Career Connection
A solid grasp of programming fundamentals is crucial for clearing technical interviews and excelling in initial software development roles during placements.
Build Strong Mathematical & Analytical Skills- (Semester 1-2)
Engage deeply with Linear Algebra, Calculus, Probability, and Discrete Mathematics. These subjects form the bedrock of advanced computer science topics like Machine Learning and Algorithm Design. Practice problem-solving rigorously.
Tools & Resources
Khan Academy, NPTEL courses, Textbooks exercises, Peer study groups
Career Connection
Strong analytical skills are highly valued in competitive exams, data science, and research-oriented roles, enhancing problem-solving capabilities required in tech industries.
Participate in Coding Challenges & Tech Clubs- (Semester 1-2)
Join the university''''s technical clubs and participate regularly in internal and external coding competitions. This fosters competitive programming skills, exposes you to diverse problem sets, and helps in building a strong peer network.
Tools & Resources
University''''s CSI/ACM chapters, Codeforces, LeetCode, Internal hackathons
Career Connection
Active participation demonstrates passion and skill, often leading to better internship opportunities and standing out to recruiters during placement drives.
Intermediate Stage
Develop Data Structures & Algorithm Expertise- (Semester 3-5)
Intensively study and implement various data structures (arrays, linked lists, trees, graphs) and algorithms (sorting, searching, dynamic programming). This is a critical skill set for any core CSE role.
Tools & Resources
LeetCode, GeeksforGeeks, Competitive programming platforms, Udemy/Coursera courses
Career Connection
Mastery of DSA is a prerequisite for cracking interviews at product-based companies and is fundamental for efficient software development.
Engage in Mini-Projects and Group Work- (Semester 3-5)
Apply theoretical knowledge by working on mini-projects, either individually or in groups. Focus on building small applications using concepts from OOP, DBMS, and OS. This enhances practical skills and teamwork.
Tools & Resources
GitHub, Stack Overflow, IDE''''s (VS Code, IntelliJ), Open-source project contributions
Career Connection
Practical project experience is vital for building a portfolio, demonstrating application of knowledge, and is frequently discussed in interviews.
Seek Early Industry Exposure & Networking- (Semester 3-5)
Attend industry workshops, seminars, and guest lectures. Connect with alumni and professionals on platforms like LinkedIn. This helps in understanding industry trends, career paths, and potential internship opportunities.
Tools & Resources
LinkedIn, Industry conferences (online/offline), Alumni network events
Career Connection
Early networking can open doors to internships and mentorship, providing valuable insights and potentially leading to better placement opportunities.
Advanced Stage
Specialize and Build a Strong Portfolio- (Semester 6-8)
Choose professional electives wisely, focusing on a specialization like AI/ML, Cybersecurity, or Web Development. Work on a major project in your chosen area, creating a tangible portfolio that showcases your expertise.
Tools & Resources
Kaggle, GitHub, Cloud platforms (AWS/Azure/GCP), Domain-specific frameworks/libraries
Career Connection
A strong, specialized project portfolio is crucial for attracting employers in specific tech domains and securing roles matching your interests.
Undertake Internships & Real-world Projects- (Semester 7-8)
Secure at least one long-term internship (3-6 months) in a relevant industry. Gain hands-on experience, understand corporate culture, and apply academic knowledge to solve real business problems. Leverage your network for opportunities.
Tools & Resources
Internshala, Naukri, LinkedIn Jobs, University placement cell
Career Connection
Internships are often converted into pre-placement offers (PPOs) and significantly boost employability by providing practical experience and industry contacts.
Intensive Placement Preparation- (Semester 6-8)
Focus on aptitude training, mock interviews (technical, HR, group discussions), and resume building. Practice quantitative aptitude, logical reasoning, and verbal ability. Stay updated on current affairs and technology trends.
Tools & Resources
Placement training cells, Online aptitude tests, Mock interview platforms, Career guidance counselors
Career Connection
Thorough preparation is paramount for excelling in campus placements, securing desirable job offers, and confidently starting your professional journey.
Program Structure and Curriculum
Eligibility:
- Minimum 45% marks (40% for reserved category) in 10+2 with Physics and Mathematics as compulsory subjects along with Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/ Computer Science/ Information Technology/ Informatics Practices/ Agriculture/ Engineering Graphics/ Business Studies as one of the optional subjects. Or minimum 45% marks (40% for reserved category) in Diploma in Engineering and Technology.
Duration: 8 semesters / 4 years
Credits: 160 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UGE22001 | Linear Algebra | Core | 4 | Matrices and System of Linear Equations, Vector Spaces, Linear Transformations, Eigenvalues and Eigenvectors, Orthogonality and Quadratic Forms |
| UGE22002 | Calculus and Differential Equations | Core | 4 | Differential Calculus, Integral Calculus, First Order Differential Equations, Second Order Linear Differential Equations, Partial Differential Equations |
| UGE22003 | Fundamentals of Electrical Engineering | Core | 4 | DC Circuits, AC Circuits, Three Phase Systems, Transformers, DC Machines and AC Motors |
| UGE22004 | Engineering Physics | Core | 4 | Quantum Mechanics, Optics and Lasers, Solid State Physics, Electromagnetism, Semiconductor Physics |
| UGE22005 | Professional Communication | Core | 2 | English for Professional Purposes, Effective Listening and Speaking, Writing Skills for Professionals, Presentation Skills, Group Discussion and Interview Skills |
| UGE22010 | Fundamentals of Electrical Engineering Lab | Lab | 1 | Verification of Ohm''''s Law, Study of Series and Parallel Circuits, Verification of Kirchhoff’s Laws, Measurement of Power in AC Circuits, Study of single-phase transformer |
| UGE22011 | Engineering Physics Lab | Lab | 1 | Young''''s Modulus Determination, Newton''''s Rings Experiment, Laser Diffraction Studies, Semiconductor Diode Characteristics, Hall Effect Measurement |
| UGE22012 | Professional Communication Lab | Lab | 1 | Phonetics and Pronunciation Practice, Role-plays for Communication Skills, Public Speaking Practice, Technical Report Writing Practice, Interview Simulation |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UGE22006 | Applied Probability and Statistics | Core | 4 | Probability Distributions, Sampling Distributions, Hypothesis Testing, Correlation and Regression, ANOVA |
| UGE22007 | Fundamentals of Electronics Engineering | Core | 4 | Diode Characteristics and Applications, Transistors and Amplifiers, Operational Amplifiers, Digital Logic Gates, Sequential Logic Circuits |
| UGE22008 | Environmental Science | Core | 2 | Ecosystems and Biodiversity, Environmental Pollution, Natural Resources Management, Climate Change and Global Warming, Environmental Policies and Ethics |
| UGE22009 | Engineering Graphics & Design | Core | 3 | Introduction to Engineering Drawing, Orthographic Projections, Isometric Projections, Sectional Views, Introduction to CAD |
| UCE22001 | Programming for Problem Solving | Core | 4 | Introduction to C Programming, Control Structures, Functions and Arrays, Pointers and Strings, Structures and File Handling |
| UGE22013 | Fundamentals of Electronics Engineering Lab | Lab | 1 | PN Junction Diode Characteristics, Zener Diode as Voltage Regulator, Transistor Amplifier Characteristics, Rectifier Circuits, Logic Gates Verification |
| UGE22014 | Engineering Graphics & Design Lab | Lab | 1 | Manual Drafting Practice, 2D Drawing using CAD Software, 3D Modeling Basics, Assembly Drawing, Design Project |
| UCE22002 | Programming for Problem Solving Lab | Lab | 1 | C Program for Basic Operations, Conditional Statements and Loops, Functions and Array Manipulations, String and Pointer Operations, File I/O Programs |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UGE22016 | Discrete Mathematics | Core | 4 | Set Theory and Logic, Relations and Functions, Graph Theory, Combinatorics, Algebraic Structures |
| UCE22003 | Data Structures | Core | 4 | Introduction to Data Structures, Arrays and Linked Lists, Stacks and Queues, Trees and Graphs, Searching and Sorting |
| UCE22004 | Digital Logic and Computer Architecture | Core | 4 | Boolean Algebra and Logic Gates, Combinational Circuits, Sequential Circuits, Computer Organization, Memory Systems and I/O Organization |
| UCE22005 | Object Oriented Programming using C++ | Core | 4 | Introduction to OOP, Classes and Objects, Inheritance and Polymorphism, Virtual Functions and Abstract Classes, Exception Handling and Templates |
| UGE22015 | Indian Constitution & Professional Ethics | Core | 1 | Preamble and Fundamental Rights, Directive Principles of State Policy, Union and State Governments, Professional Ethics in Engineering, Ethical Dilemmas and Case Studies |
| UCE22006 | Data Structures Lab | Lab | 1 | Array and Linked List Operations, Stack and Queue Implementations, Tree Traversal Algorithms, Graph Algorithms, Sorting and Searching Algorithms |
| UCE22007 | Digital Logic and Computer Architecture Lab | Lab | 1 | Verification of Logic Gates, Design of Combinational Circuits, Design of Sequential Circuits, Assembly Language Programming, Memory Interfacing Simulation |
| UCE22008 | Object Oriented Programming using C++ Lab | Lab | 1 | Class and Object Implementation, Constructor and Destructor, Inheritance and Polymorphism Programs, Operator Overloading, File I/O using C++ |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UGE22017 | Numerical Methods and Optimization | Core | 4 | Solution of Algebraic and Transcendental Equations, Interpolation and Numerical Differentiation, Numerical Integration, Numerical Solution of Ordinary Differential Equations, Optimization Techniques |
| UCE22009 | Operating Systems | Core | 4 | Introduction to Operating Systems, Process Management, CPU Scheduling, Memory Management, File Systems and I/O Management |
| UCE22010 | Database Management Systems | Core | 4 | Introduction to DBMS, Entity-Relationship Model, Relational Model and SQL, Database Design and Normalization, Transaction Management and Concurrency Control |
| UCE22011 | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis Techniques, Divide and Conquer Algorithms, Dynamic Programming, Greedy Algorithms, Graph Algorithms |
| UGE22018 | Employability Skills and Entrepreneurship | Core | 2 | Personality Development, Soft Skills for Workplace, Introduction to Entrepreneurship, Business Plan Development, Startup Ecosystem in India |
| UCE22012 | Operating Systems Lab | Lab | 1 | Shell Programming, Process Creation and Management, CPU Scheduling Algorithms, Deadlock Detection and Avoidance, Memory Allocation Algorithms |
| UCE22013 | Database Management Systems Lab | Lab | 1 | SQL Commands (DDL, DML, DCL), Joins and Subqueries, Stored Procedures and Functions, Trigger Implementation, Database Connectivity (JDBC/ODBC) |
| UCE22014 | Design and Analysis of Algorithms Lab | Lab | 1 | Implementation of Sorting Algorithms, Greedy Algorithm Problems, Dynamic Programming Problems, Graph Traversal Algorithms, Algorithm Efficiency Measurement |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCE22015 | Compiler Design | Core | 4 | Introduction to Compilers, Lexical Analysis, Syntax Analysis, Intermediate Code Generation, Code Optimization and Code Generation |
| UCE22016 | Computer Networks | Core | 4 | Introduction to Computer Networks, Physical and Data Link Layer, Network Layer, Transport Layer, Application Layer |
| UCE22017 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions and Languages, Context-Free Grammars and Pushdown Automata, Turing Machines, Undecidability |
| UGE22019 | Human Values and Professional Ethics | Core | 2 | Value Education, Ethics and Morality, Harmony in the Family and Society, Holistic Technologies, Professional Ethics |
| UCE22018 | Compiler Design Lab | Lab | 1 | Lexical Analyzer Implementation, Parser Implementation, Syntax Directed Translation, Code Generation, Compiler Development Tools |
| UCE22019 | Computer Networks Lab | Lab | 1 | Network Configuration Commands, Socket Programming, Packet Sniffing and Analysis, Routing Protocols Implementation, Network Security Tools |
| UCEP22001 | Mini Project – I | Project | 2 | Problem Identification, Literature Survey, Design and Implementation, Testing and Debugging, Report Writing and Presentation |
| UGE22021 | Audit Course 1 | Audit | 0 | Topics related to value-added or skill-based learning |
| UCE22026 | Advanced Data Structures | Elective (Professional Elective I) | 2 | Advanced Tree Structures, Hashing Techniques, Graph Algorithms, Network Flow, Computational Geometry |
| UCE22027 | Python Programming | Elective (Professional Elective I) | 2 | Python Fundamentals, Data Structures in Python, Object-Oriented Python, File Handling, Libraries and Modules |
| UCE22028 | Introduction to Data Science | Elective (Professional Elective I) | 2 | Data Science Lifecycle, Data Preprocessing, Exploratory Data Analysis, Basic Machine Learning Models, Data Visualization |
| UCE22029 | Software Testing | Elective (Professional Elective I) | 2 | Software Testing Fundamentals, Test Case Design, Black Box Testing, White Box Testing, Test Management |
| UCE22030 | Introduction to Cyber Security | Elective (Professional Elective I) | 2 | Fundamentals of Cyber Security, Network Security Basics, Malware and Viruses, Security Policies and Procedures, Cybercrime and Laws |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCE22020 | Cryptography and Network Security | Core | 4 | Classical Cryptography, Symmetric Key Cryptography, Asymmetric Key Cryptography, Network Security Applications, Blockchain Technology |
| UCE22021 | Web Technology | Core | 4 | HTML, CSS, JavaScript, Client-Side Scripting, Server-Side Scripting (PHP/Node.js), Web Frameworks (e.g., React/Angular), Database Connectivity for Web |
| UGE22020 | Universal Human Values | Core | 2 | Introduction to Value Education, Understanding Harmony in the Human Being, Understanding Harmony in the Family and Society, Understanding Harmony in Nature/Existence, Implications of a Holistic Understanding |
| UCE22022 | Cryptography and Network Security Lab | Lab | 1 | Caesar Cipher and Vigenere Cipher, RSA Algorithm Implementation, Digital Signature Schemes, Firewall Configuration, Intrusion Detection Systems |
| UCE22023 | Web Technology Lab | Lab | 1 | HTML/CSS Page Design, JavaScript Dynamic Content, PHP/Node.js Server-Side Scripting, Database Integration with Web, Full-stack Web Application Development |
| UCEP22002 | Mini Project – II | Project | 2 | Advanced Problem Formulation, System Design, Implementation with Modern Tools, Performance Evaluation, Technical Report and Presentation |
| UGE22022 | Audit Course 2 | Audit | 0 | Topics related to societal impact or current technological trends |
| UCE22031 | Web Development | Elective (Professional Elective II) | 2 | Full Stack Development, Front-End Frameworks (React/Vue), Back-End Frameworks (Node.js/Django), API Design and Integration, Deployment and Hosting |
| UCE22032 | Mobile Application Development | Elective (Professional Elective II) | 2 | Android/iOS Platform Basics, UI/UX Design for Mobile, Native vs. Hybrid Apps, Data Storage in Mobile, Publishing Apps |
| UCE22033 | Cloud Computing | Elective (Professional Elective II) | 2 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization, Cloud Storage and Networking, Cloud Security |
| UCE22034 | Data Warehousing and Mining | Elective (Professional Elective II) | 2 | Data Warehouse Architecture, ETL Process, OLAP Operations, Data Mining Techniques, Clustering and Classification |
| UCE22035 | Parallel and Distributed Computing | Elective (Professional Elective II) | 2 | Parallel Computing Models, Distributed Systems Concepts, Concurrency Control, Message Passing Interface (MPI), MapReduce |
| UCE22036 | Digital Image Processing | Elective (Professional Elective III) | 2 | Image Representation, Image Enhancement, Image Restoration, Image Compression, Image Segmentation |
| UCE22037 | Computer Graphics | Elective (Professional Elective III) | 2 | Graphics Primitives, 2D and 3D Transformations, Clipping and Windowing, Projection Techniques, Rendering and Shading |
| UCE22038 | Soft Computing | Elective (Professional Elective III) | 2 | Fuzzy Logic, Artificial Neural Networks, Genetic Algorithms, Swarm Intelligence, Hybrid Systems |
| UCE22039 | Internet of Things | Elective (Professional Elective III) | 2 | IoT Architecture, Sensors and Actuators, Communication Protocols, IoT Platforms, IoT Security |
| UCE22040 | Computer Vision | Elective (Professional Elective III) | 2 | Image Formation, Feature Detection and Matching, Object Recognition, Motion Analysis, Deep Learning for Vision |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCE22024 | Artificial Intelligence | Core | 4 | Introduction to AI, Search Algorithms, Knowledge Representation and Reasoning, Machine Learning Basics, Natural Language Processing |
| UCE22025 | Software Engineering | Core | 4 | Software Development Life Cycle, Software Requirements Engineering, Software Design, Software Testing, Software Project Management |
| UCEP22003 | Project Work – Phase I | Project | 6 | Problem Definition and Scope, Detailed Literature Review, System Requirements Specification, High-Level Design, Feasibility Study |
| UCEINT22001 | Internship/Industry Project | Project | 3 | On-the-job Training, Real-world Project Implementation, Professional Skill Development, Industry Best Practices, Report and Presentation |
| UCE22041 | Machine Learning | Elective (Professional Elective IV) | 3 | Supervised Learning, Unsupervised Learning, Model Evaluation, Feature Engineering, Ensemble Methods |
| UCE22042 | Deep Learning | Elective (Professional Elective IV) | 3 | Neural Network Architectures, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Deep Learning Frameworks |
| UCE22043 | Big Data Analytics | Elective (Professional Elective IV) | 3 | Big Data Technologies (Hadoop, Spark), Distributed File Systems, NoSQL Databases, Stream Processing, Big Data Visualization |
| UCE22044 | Blockchain Technology | Elective (Professional Elective IV) | 3 | Cryptographic Primitives, Blockchain Architecture, Consensus Mechanisms, Smart Contracts, Decentralized Applications (DApps) |
| UCE22045 | Natural Language Processing | Elective (Professional Elective IV) | 3 | Text Preprocessing, Language Models, Text Classification, Sequence Tagging, Machine Translation |
| UCE22046 | Reinforcement Learning | Elective (Professional Elective IV) | 3 | Markov Decision Processes, Dynamic Programming, Monte Carlo Methods, Temporal-Difference Learning, Deep Reinforcement Learning |
| UGE22OEXX | Open Elective I | Elective (Open Elective) | 3 | Interdisciplinary topics from other engineering branches, Management principles, Social sciences perspectives, Humanities and arts, Financial literacy and economics |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UCEP22004 | Project Work – Phase II | Project | 9 | Detailed Design and Implementation, Module Integration and Testing, Performance Analysis and Optimization, Result Analysis and Discussion, Final Report and Viva-Voce |
| UCE22047 | Advanced Operating Systems | Elective (Professional Elective V) | 3 | Distributed Operating Systems, Multiprocessor Operating Systems, Real-Time Operating Systems, Operating System Security, Virtualization |
| UCE22048 | Real-Time Systems | Elective (Professional Elective V) | 3 | Real-Time Concepts, Scheduling Algorithms, Real-Time Operating Systems, Resource Management, Fault Tolerance |
| UCE22049 | Ethical Hacking | Elective (Professional Elective V) | 3 | Footprinting and Reconnaissance, Scanning Networks, Enumeration, System Hacking, Malware Threats |
| UCE22050 | Compiler Design (Advanced) | Elective (Professional Elective V) | 3 | Advanced Parsing Techniques, Runtime Environments, Code Optimization, Garbage Collection, Just-In-Time Compilation |
| UCE22051 | Genetic Algorithms | Elective (Professional Elective V) | 3 | Introduction to Evolutionary Computation, Genetic Algorithm Operators, Representations and Fitness Functions, Applications of GAs, Multi-Objective Optimization |
| UCE22052 | Information Retrieval | Elective (Professional Elective V) | 3 | Boolean and Vector Space Models, Query Processing, Ranking Algorithms, Evaluation of IR Systems, Web Search and Link Analysis |
| UGE22OEXX | Open Elective II | Elective (Open Elective) | 3 | Advanced interdisciplinary studies, Societal impact of technology, Leadership and innovation, Global business environment, Specialized technical areas from other domains |
