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B-TECH in Computer Science Engineering Internet Of Things Iot Ibm at Alliance University
Bengaluru, Karnataka
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About the Specialization
What is Computer Science & Engineering – Internet of Things (IoT) (IBM) at Alliance University Bengaluru?
This Computer Science & Engineering – Internet of Things (IoT) (IBM) program at Alliance University focuses on equipping students with expertise in designing, developing, and deploying IoT solutions. In the rapidly digitizing Indian economy, this specialization is critical for building smart infrastructure, connected devices, and data-driven systems. Its unique partnership with IBM ensures an industry-aligned curriculum, incorporating cutting-edge technologies and real-world applications.
Who Should Apply?
This program is ideal for aspiring engineers and innovators who possess a strong foundation in science and mathematics, typically 10+2 graduates. It caters to individuals keen on exploring the convergence of hardware and software, data analytics, and cloud computing for intelligent systems. It also suits those looking to contribute to India''''s Smart Cities mission, Industry 4.0 initiatives, and the burgeoning connected devices market.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including IoT Developer, Embedded Systems Engineer, Cloud Engineer, Data Scientist (IoT), and Solution Architect. Entry-level salaries typically range from INR 4-7 LPA, with experienced professionals earning significantly more. The program aligns with industry certifications, fostering growth trajectories in top Indian and multinational tech companies focused on IoT innovation.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Develop a strong base in C, Java, and Data Structures. Regularly practice coding problems on platforms like HackerRank and LeetCode. Focus on understanding algorithms and problem-solving logic, which are crucial for advanced topics.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, CodeChef, NPTEL courses on Data Structures
Career Connection
Essential for cracking technical rounds in placements and building robust software applications.
Engage with Basic Electronics & Hardware- (Semester 1-2)
Understand the foundational concepts of electrical, electronics, and microcontrollers. Build simple circuits, experiment with Arduino/Raspberry Pi kits during your free time. This hands-on experience complements theoretical knowledge for IoT.
Tools & Resources
Arduino Starter Kits, Raspberry Pi, Breadboards, Basic sensors, Online tutorials from SparkFun or Adafruit
Career Connection
Crucial for roles in embedded systems and hardware-software integration in IoT.
Cultivate Strong Communication Skills- (Semester 1-2)
Enhance both written and verbal communication. Participate in technical presentations, debate clubs, and workshops on professional communication. Start writing concise technical reports and emails.
Tools & Resources
Toastmasters, Grammarly, University communication labs, Public speaking clubs
Career Connection
Vital for interviews, client interactions, and team collaborations in any engineering role.
Intermediate Stage
Build Projects with Java & Databases- (Semester 3-4)
Apply OOP and DBMS knowledge to create functional applications. Develop mini-projects like a library management system or an e-commerce platform using Java and SQL. Focus on database design, efficient queries, and object-oriented principles.
Tools & Resources
MySQL Workbench, Apache NetBeans/IntelliJ IDEA, GitHub for version control, XAMPP/WAMP Server
Career Connection
Demonstrates practical application skills, highly valued by companies hiring for backend development and database roles.
Explore IoT & Cloud Fundamentals Practically- (Semester 4-5)
Dive into IBM-specific IoT platforms and cloud services. Utilize IBM Cloud resources (often available with student accounts) to deploy basic IoT applications, connect devices, and store sensor data. Participate in IBM skill-building workshops.
Tools & Resources
IBM Cloud Lite account, Node-RED, MQTT Protocol, Watson IoT Platform, Official IBM documentation
Career Connection
Directly prepares for specialized IoT development, cloud engineering, and data integration roles.
Network with Industry Professionals- (Semester 3-5)
Attend workshops, seminars, and guest lectures. Connect with speakers, faculty, and alumni working in IoT or related fields. Leverage LinkedIn to build professional connections and learn about industry trends.
Tools & Resources
LinkedIn, University career fairs, Industry meetups (virtual or in-person), Professional associations
Career Connection
Opens doors to internship opportunities, mentorship, and insights into specific career paths.
Advanced Stage
Undertake Significant Projects & Internships- (Semester 6-8)
Pursue an industrial internship and engage in a major project (Phase I & II) that integrates various IoT components – hardware, software, cloud, and data analytics. Document thoroughly, focusing on problem-solving and innovation.
Tools & Resources
Project management tools (Jira, Trello), Advanced sensors/actuators, Industry-specific platforms, Professional documentation tools (LaTeX, Markdown)
Career Connection
Provides invaluable industry experience, strengthens resume, and often leads to pre-placement offers.
Specialize in a Niche (ML/AI for IoT, Security for IoT)- (Semester 6-8)
Utilize electives to specialize. Beyond coursework, complete online certifications (e.g., Coursera, edX) in areas like ''''Deep Learning for IoT'''' or ''''IoT Security''''. This deepens your expertise in a chosen sub-field.
Tools & Resources
TensorFlow, Keras, PyTorch, Specialized security tools (e.g., Wireshark for network security), Relevant online courses from top universities
Career Connection
Differentiates candidates for advanced roles in R&D, specialized product development, and research.
Prepare for Placements & Higher Studies- (Semester 7-8)
Systematically prepare for career goals. Practice aptitude tests, mock interviews, and update your portfolio with all projects. Research companies and roles aligned with your specialization. For higher studies, prepare for GRE/GATE.
Tools & Resources
Online aptitude platforms, Interview preparation guides, Career counseling services, Professional resume builders, GATE/GRE study materials
Career Connection
Maximizes chances for securing desired placements or admission to postgraduate programs.
Program Structure and Curriculum
Eligibility:
- 10 + 2 or equivalent examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry / Biotechnology / Biology / Technical Vocational subjects and obtained at least 45% marks (40% in case of candidate belonging to reserved category) in the above subjects taken together.
Duration: 4 years / 8 semesters
Credits: 184 Credits
Assessment: Assessment pattern not specified
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UE0001 | Communicative English | Core | 3 | Grammar, Reading Comprehension, Writing Skills, Listening and Speaking, Vocabulary Building |
| MA0001 | Applied Mathematics – I | Core | 4 | Differential Calculus, Integral Calculus, Sequences and Series, Multivariable Calculus, Vector Calculus |
| PH0001 | Engineering Physics | Core | 4 | Modern Physics, Quantum Mechanics, Solid State Physics, Optics, Electromagnetism |
| CS0001 | Problem Solving and Programming in C | Core | 4 | C Programming Basics, Control Structures, Functions, Arrays and Pointers, Structures and File I/O |
| ME0001 | Engineering Graphics | Core | 3 | Orthographic Projections, Isometric Projections, Sectional Views, AutoCAD Basics, Machine Drawing Conventions |
| CH0002 | Environmental Science | Core | 3 | Ecosystems and Biodiversity, Pollution Control, Natural Resources Management, Sustainable Development, Environmental Impact Assessment |
| CS0002 | Problem Solving and Programming in C Lab | Lab | 1 | C Program Implementation, Debugging Techniques, Algorithmic Problem Solving, Input/Output Operations, Function Utilization |
| ME0002 | Engineering Workshop | Lab | 1 | Carpentry, Fitting, Welding, Foundry, Sheet Metal Operations |
| AU0001 | Constitution of India | Core | 1 | Constitutional History, Fundamental Rights, Directive Principles, Union and State Legislature, Indian Judiciary |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| UE0002 | Technical English | Core | 3 | Technical Writing, Report Writing, Presentation Skills, Business Communication, Email Etiquette |
| MA0002 | Applied Mathematics – II | Core | 4 | Linear Algebra, Differential Equations, Laplace Transforms, Fourier Series, Complex Analysis |
| CH0001 | Engineering Chemistry | Core | 4 | Water Technology, Electrochemistry, Corrosion and its Control, Fuels and Combustion, Polymers and Composites |
| EE0001 | Basic Electrical & Electronics Engineering | Core | 4 | DC and AC Circuits, Network Theorems, Diodes and Rectifiers, Transistors, Operational Amplifiers |
| CS0003 | Data Structures | Core | 4 | Arrays and Linked Lists, Stacks and Queues, Trees and Heaps, Graphs, Sorting and Searching Algorithms |
| CS0004 | Data Structures Lab | Lab | 1 | Implementation of Data Structures, Algorithm Analysis, Problem Solving with Data Structures, Recursion, Memory Management |
| EE0002 | Basic Electrical & Electronics Engineering Lab | Lab | 1 | Verification of Circuit Laws, Diode Characteristics, Transistor Amplifier Circuits, Operational Amplifier Applications, Digital Logic Gates |
| PH0002 | Engineering Physics Lab | Lab | 1 | Experiments in Optics, Electrical Measurements, Semiconductor Devices, Magnetic Fields, Modern Physics Applications |
| HS0001 | Human Values & Ethics | Core | 1 | Professional Ethics, Human Values, Ethics in Society, Environmental Ethics, Integrity and Morality |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA0003 | Applied Mathematics – III | Core | 4 | Probability Theory, Random Variables, Probability Distributions, Statistical Inference, Stochastic Processes |
| CS0005 | Object Oriented Programming with Java | Core | 4 | OOP Concepts, Java Syntax and Semantics, Classes and Objects, Inheritance and Polymorphism, Interfaces and Exception Handling |
| CS0006 | Computer Organization & Architecture | Core | 4 | CPU Structure and Function, Memory Hierarchy, I/O Organization, Instruction Set Architecture, Pipelining and Parallel Processing |
| CS0007 | Database Management Systems | Core | 4 | Relational Model, SQL Queries, ER Diagrams, Normalization, Transaction and Concurrency Control |
| CS0008 | Operating Systems | Core | 4 | Process Management, Memory Management, File Systems, I/O Systems, Deadlocks and Concurrency |
| CS0009 | Object Oriented Programming with Java Lab | Lab | 1 | Java Programming Exercises, GUI Development, Database Connectivity (JDBC), Multithreading, Applet Programming |
| CS0010 | Database Management Systems Lab | Lab | 1 | SQL Query Practice, Database Design, PL/SQL Programming, Report Generation, Schema Definition |
| CS0011 | Open Source Programming Lab | Lab | 1 | Linux Commands, Shell Scripting, Git Version Control, Open Source Tools, Python Scripting |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| EC0001 | Analog and Digital Electronics | Core | 4 | Semiconductor Devices, Logic Gates, Combinational Circuits, Sequential Circuits, Analog to Digital Converters |
| CS0012 | Design and Analysis of Algorithms | Core | 4 | Algorithm Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| CS0013 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Turing Machines, Decidability and Undecidability |
| CS0014 | Computer Networks | Core | 4 | Network Topologies, OSI and TCP/IP Models, Network Protocols (HTTP, FTP), Routing Algorithms, Network Security Basics |
| CS0015 | IBM – Data Science and AI with Python | Core | 4 | Python Programming for Data Science, Data Analysis with Pandas, Machine Learning Basics, Artificial Intelligence Concepts, Data Visualization with Matplotlib |
| EC0002 | Analog and Digital Electronics Lab | Lab | 1 | Circuit Design and Simulation, Logic Gate Implementation, Flip-Flop Circuits, Combinational and Sequential Circuit Testing, A/D and D/A Converter Experiments |
| CS0016 | Computer Networks Lab | Lab | 1 | Network Configuration, Socket Programming, Protocol Analysis, Network Simulation Tools, Client-Server Communication |
| CS0017 | IBM – Data Science and AI with Python Lab | Lab | 1 | Python for Data Manipulation, Machine Learning Model Implementation, AI Algorithm Exploration, Data Preprocessing, Result Interpretation |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA0004 | Discrete Mathematics | Core | 4 | Logic and Proofs, Set Theory and Relations, Functions, Graph Theory, Combinatorics |
| CS0018 | Artificial Intelligence | Core | 4 | AI Agents and Search, Knowledge Representation, Machine Learning Fundamentals, Neural Networks Basics, Natural Language Processing |
| CS0019 | Microcontrollers and Embedded Systems | Core | 4 | Microcontroller Architecture, Embedded C Programming, Interfacing Techniques, Peripherals and Communication, Real-time Operating Systems |
| CS0020 | Web Technology | Core | 4 | HTML, CSS, JavaScript, Client-Side Scripting, Web Servers and Hosting, Server-Side Scripting, Web Security Fundamentals |
| CS0021 | IBM – IoT Programming and Cloud | Core | 4 | IoT Architectures, IoT Communication Protocols, Cloud Platforms (IBM Cloud), Sensor Data Integration, Edge Computing Concepts |
| CS0022 | Microcontrollers and Embedded Systems Lab | Lab | 1 | Embedded C Programming Practice, Sensor Interfacing, Actuator Control, Communication Protocols Implementation, Mini-Project Development |
| CS0023 | Web Technology Lab | Lab | 1 | Front-end Development, Back-end Development, Database Integration for Web, API Creation and Testing, Web Application Deployment |
| CS0024 | IBM – IoT Programming and Cloud Lab | Lab | 1 | IoT Device Programming, Cloud Platform Deployment, Data Ingestion and Management, IoT Application Development, Real-time Data Processing |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS0025 | Machine Learning | Core | 4 | Supervised Learning, Unsupervised Learning, Deep Learning Introduction, Reinforcement Learning, Model Evaluation and Validation |
| CS0026 | Distributed Systems | Core | 4 | Distributed Architectures, Consistency and Replication, Fault Tolerance, Distributed File Systems, Message Passing Interfaces |
| CS0027 | Network Security | Core | 4 | Cryptography Basics, Network Attacks, Firewalls and Intrusion Detection, VPN Technologies, Authentication Protocols |
| CS0028 | Elective – I | Elective | 4 | |
| CS0029 | Elective – II | Elective | 4 | |
| CS0030 | Machine Learning Lab | Lab | 1 | ML Algorithm Implementation, Data Preprocessing, Model Training and Testing, Hyperparameter Tuning, Performance Evaluation |
| CS0031 | Minor Project | Project | 3 | Project Planning, Design and Development, Implementation and Testing, Documentation, Problem Solving |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS0032 | Full Stack Development | Core | 4 | Front-end Frameworks, Back-end Frameworks, Database Integration, API Development, Deployment Strategies |
| CS0033 | Cyber Forensics and Investigation | Core | 4 | Digital Evidence Collection, Forensic Tools, Network Forensics, Mobile Forensics, Incident Response |
| CS0034 | Elective – III | Elective | 4 | |
| CS0035 | Elective – IV | Elective | 4 | |
| CS0036 | Internship | Project | 6 | Industry Experience, Practical Skill Application, Professional Networking, Problem Solving in Real-world, Project Reporting |
| CS0037 | Full Stack Development Lab | Lab | 1 | Building Full Stack Applications, Database Management, API Integration, User Interface Design, Deployment and Testing |
| CS0038 | Project Work Phase – I | Project | 3 | Problem Definition, Literature Survey, System Design, Prototype Development, Feasibility Study |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS0039 | Elective – V | Elective | 4 | |
| CS0040 | Elective – VI | Elective | 4 | |
| CS0041 | Project Work Phase – II | Project | 9 | Advanced Development, Testing and Debugging, Optimization and Refinement, Comprehensive Documentation, Project Presentation |
| CS0042 | Technical Seminar | Project | 1 | Research Presentation, Public Speaking, Technical Communication, Literature Review, Q&A Handling |
