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B-TECH in Computer Science Engineering Cloud Computing Ibm at Alliance University
Bengaluru, Karnataka
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About the Specialization
What is Computer Science & Engineering – Cloud Computing (IBM) at Alliance University Bengaluru?
This Computer Science & Engineering – Cloud Computing (IBM) program at Alliance University focuses on equipping students with advanced skills in cloud infrastructure, application development, and specialized cloud services. With a strong emphasis on IBM cloud technologies, the curriculum is designed to meet the growing demand for cloud-proficient engineers in the Indian IT sector, addressing critical areas like scalability, security, and data management in cloud environments.
Who Should Apply?
This program is ideal for aspiring computer science graduates seeking to specialize in cloud technologies, fresh engineering graduates aiming for careers in cloud architecture, and working professionals looking to upskill in cutting-edge cloud platforms. Students with a strong foundation in programming and an interest in distributed systems, networking, and data management are particularly well-suited for this specialization.
Why Choose This Course?
Graduates of this program can expect promising career paths as Cloud Architects, DevOps Engineers, Cloud Security Specialists, and Cloud Application Developers within India''''s thriving technology landscape. Entry-level salaries typically range from INR 4-7 LPA, growing significantly with experience. The program aligns with industry certifications, enhancing employability in major IT firms and startups across the country.
Student Success Practices
Foundation Stage
Master Programming Fundamentals- (Semester 1-2)
Consistently practice problem-solving using C/C++ (and Python later) on platforms like HackerRank and LeetCode. Focus on understanding basic data structures and algorithms, which are foundational for advanced CSE topics and cloud application development.
Tools & Resources
CodeChef, GeeksforGeeks, HackerRank, Visual Studio Code
Career Connection
Strong programming basics are crucial for technical interviews, coding challenges, and developing efficient, scalable cloud applications, making you a strong candidate for entry-level roles.
Build a Strong Mathematical and Scientific Base- (Semester 1-2)
Pay close attention to Engineering Mathematics, Physics, and Chemistry. These subjects build analytical thinking and problem-solving skills vital for understanding complex algorithms, system architectures, and the underlying infrastructure of cloud environments.
Tools & Resources
Khan Academy, NPTEL courses, Reference textbooks
Career Connection
Critical for logical reasoning tests, algorithmic understanding, and comprehending the principles behind secure and scalable cloud systems, enhancing your problem-solving capabilities.
Engage in Hands-on Engineering Labs- (Semester 1-2)
Actively participate in all basic engineering labs (Electrical, Electronics, Workshop). This develops practical skills, familiarity with various tools, and a systematic approach to problem-solving, fostering a true engineering mindset.
Tools & Resources
Lab manuals, Simulation software (e.g., TinkerCAD for circuits)
Career Connection
Fosters practical debugging skills and an understanding of hardware-software interactions, which is essential for managing physical infrastructure in cloud data centers or IoT cloud integration.
Intermediate Stage
Deep Dive into Core CSE Concepts- (Semester 3-5)
Excel in subjects like Data Structures, Algorithms, Operating Systems, DBMS, and Computer Networks. Understand their theoretical underpinnings and practical implementations, as these form the foundational backbone of any cloud system.
Tools & Resources
Standard textbooks (e.g., Cormen for Algorithms, Galvin for OS), Online courses (Coursera, Udemy), Industry blogs
Career Connection
These are frequently asked topics in technical interviews for software development and cloud engineering roles, determining your readiness for complex system design.
Explore Cloud Platforms and Certifications- (Semester 4-5)
Start familiarizing yourself with major cloud platforms (AWS, Azure, Google Cloud, IBM Cloud) through their free tiers. Consider pursuing introductory certifications like IBM Cloud Essentials or AWS Cloud Practitioner alongside your specialization subjects.
Tools & Resources
Free tiers of cloud providers, Official documentation, Certification study guides
Career Connection
Demonstrates initiative and practical cloud knowledge, highly valued by employers for cloud roles. Certifications provide a verified baseline of skills for the Indian job market.
Participate in Mini-Projects and Hackathons- (Semester 4-5)
Apply theoretical knowledge by building small projects, especially those leveraging cloud services. Engage in hackathons to work in teams, solve real-world problems, and gain exposure to rapid prototyping and innovative solutions.
Tools & Resources
GitHub, Online IDEs, Project idea platforms (e.g., Devpost)
Career Connection
Builds a portfolio of practical work, critical for showcasing skills and problem-solving abilities to potential employers during placements in technology firms.
Advanced Stage
Specialize in Cloud Technologies and Internships- (Semester 6-8)
Focus intensely on your Cloud Computing (IBM) electives. Seek out internships at companies using IBM Cloud or other major cloud providers. Work on live projects to gain hands-on experience in cloud infrastructure, development, or operations.
Tools & Resources
IBM Cloud documentation, Industry mentors, Professional networking events
Career Connection
Direct industry exposure and specialized skills make you job-ready for cloud roles. Many internships in India lead to pre-placement offers, accelerating your career.
Develop DevOps and Automation Skills- (Semester 6-7)
Master CI/CD pipelines, containerization (Docker, Kubernetes), and Infrastructure as Code (Terraform, Ansible). These skills are paramount for modern cloud operations and deployment strategies, highly demanded in the Indian IT industry.
Tools & Resources
Docker Hub, Kubernetes documentation, GitLab/GitHub Actions, Ansible documentation
Career Connection
Essential for roles like DevOps Engineer, Cloud Operations Engineer, and Site Reliability Engineer (SRE), which are high-demand and well-compensated in India.
Prepare for Placements and Advanced Certifications- (Semester 7-8)
Actively prepare for technical interviews, aptitude tests, and group discussions. Refine your resume and LinkedIn profile. Consider advanced cloud certifications (e.g., IBM Certified Cloud Solution Architect) to stand out in the competitive job market.
Tools & Resources
University placement cell, Mock interview platforms, Resume workshops, Online interview preparation resources
Career Connection
Ensures a successful transition into a professional cloud computing role with a competitive edge, securing placements with top Indian and multinational tech companies.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry / Biotechnology / Biology / Technical Vocational subject / Computer Science / Information Technology / Informatics Practices / Agriculture / Engineering Graphics / Business Studies. Obtained at least 45% marks (40% in case of candidates belonging to reserved category) in the above subjects taken together.
Duration: 8 semesters
Credits: 160 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 18BPH1010 | Engineering Physics | Core (BSC) | 3 | Mechanics & Oscillations, Electromagnetic Theory, Quantum Mechanics, Solid State Physics, Lasers and Fiber Optics |
| 18BMA1010 | Engineering Mathematics - I | Core (BSC) | 4 | Differential Calculus, Integral Calculus, Sequences & Series, Multivariable Calculus, Vector Calculus |
| 18BEG1010 | Basic English | Core (HSC) | 2 | Communication Skills, Grammar and Vocabulary, Reading Comprehension, Essay Writing, Presentation Skills |
| 18BEC1010 | Basic Electrical and Electronics Engineering | Core (ESC) | 3 | DC Circuits, AC Circuits, Diodes and Transistors, Digital Electronics, Transducers |
| 18BME1010 | Engineering Graphics and Design | Core (ESC) | 3 | Orthographic Projections, Isometric Projections, Sectional Views, AutoCAD Basics, Development of Surfaces |
| 18BWS1010 | Basic Workshop Practice | Lab (ESC) | 1 | Carpentry, Welding, Sheet Metal, Fitting, Foundry Practice |
| 18BPHL1010 | Engineering Physics Lab | Lab (BSC) | 1 | Experimental Mechanics, Optics Experiments, Electronic Measurements, Material Characterization, Error Analysis |
| 18BECL1010 | Basic Electrical and Electronics Engineering Lab | Lab (ESC) | 1 | Circuit Laws Verification, Diode/Transistor Characteristics, Logic Gate Implementation, Sensor Interfacing, Power Measurement |
| 18BCPL1010 | Programming for Problem Solving Lab | Lab (ESC) | 2 | C Language Basics, Control Structures, Functions, Arrays, Pointers |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 18BCH1020 | Engineering Chemistry | Core (BSC) | 3 | Water Technology, Electrochemistry, Corrosion Science, Engineering Materials, Fuels and Combustion |
| 18BMA2010 | Engineering Mathematics - II | Core (BSC) | 4 | Linear Algebra, Laplace Transforms, Fourier Series, Partial Differential Equations, Complex Numbers |
| 18BPL2010 | Programming for Problem Solving | Core (ESC) | 3 | C++ Basics, Object-Oriented Concepts, Functions, Arrays and Strings, File I/O |
| 18BEE2010 | Engineering Mechanics | Core (ESC) | 3 | Force Systems, Equilibrium, Friction, Kinematics of Particles, Kinetics of Particles |
| 18BCE2010 | Environmental Science | Core (MC) | 0 | Ecosystems, Biodiversity, Environmental Pollution, Natural Resources, Sustainable Development |
| 18BWSL2010 | Basic Workshop Practice Lab | Lab (ESC) | 1 | Advanced Carpentry, Arc Welding, Soldering, Drilling, Turning |
| 18BCPL2010 | Programming for Problem Solving Lab | Lab (ESC) | 2 | C++ Programs, Classes and Objects, Inheritance, Polymorphism, Exception Handling |
| 18BMSL2010 | Materials Science and Engineering Lab | Lab (ESC) | 1 | Hardness Testing, Impact Testing, Microstructure Analysis, Thermal Conductivity, Material Characterization |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21UCS3010 | Discrete Mathematics | Core (PCC) | 4 | Mathematical Logic, Set Theory, Relations and Functions, Graph Theory, Algebraic Structures |
| 21UCS3020 | Data Structures and Algorithms | Core (PCC) | 4 | Arrays, Linked Lists, Stacks, Queues, Trees, Hashing, Sorting Algorithms, Searching Algorithms |
| 21UCS3030 | Object Oriented Programming with C++ | Core (PCC) | 3 | Classes and Objects, Inheritance, Polymorphism, Abstraction and Encapsulation, Templates, Exception Handling |
| 21UCS3040 | Computer Organization and Architecture | Core (PCC) | 3 | Processor Basics, Memory Hierarchy, I/O Organization, Instruction Set Architectures, Pipelining |
| 21BMA3010 | Probability and Statistics | Core (BSC) | 3 | Probability Theory, Random Variables, Probability Distributions, Hypothesis Testing, Regression and Correlation |
| 21UHSL3010 | Universal Human Values | Mandatory Course (MC) | 0 | Self-Exploration, Human Values, Relationship Values, Societal Values, Coexistence |
| 21UCSL3010 | Data Structures and Algorithms Lab | Lab (PCC) | 2 | Implementation of Stacks, Queues and Linked Lists, Trees and Graphs, Sorting Algorithms, Searching Algorithms |
| 21UCSL3020 | Object Oriented Programming with C++ Lab | Lab (PCC) | 2 | C++ Programs for OOP concepts, File Handling, Templates, STL (Standard Template Library) |
| 21UCSC3010 | Computer Organization and Architecture Lab | Lab (PCC) | 1 | Assembly Language Programming, Processor Simulation, Memory Interfacing, I/O Operations |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21UCS4010 | Operating Systems | Core (PCC) | 4 | Process Management, CPU Scheduling, Deadlocks, Memory Management, File Systems, I/O Systems |
| 21UCS4020 | Database Management Systems | Core (PCC) | 4 | Relational Model, SQL, ER Diagrams, Normalization, Transaction Management, Concurrency Control |
| 21UCS4030 | Design and Analysis of Algorithms | Core (PCC) | 3 | Algorithm Analysis, Divide and Conquer, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| 21UCS4040 | Software Engineering | Core (PCC) | 3 | SDLC Models, Requirements Engineering, Software Design, Software Testing, Project Management |
| 21BHM4010 | Engineering Economics and Financial Management | Core (HSC) | 3 | Basic Economics, Demand and Supply, Market Structures, Financial Analysis, Capital Budgeting |
| 21UCSL4010 | Operating Systems Lab | Lab (PCC) | 2 | Process Scheduling, Memory Allocation, Inter-process Communication, Shell Scripting, File System Operations |
| 21UCSL4020 | Database Management Systems Lab | Lab (PCC) | 2 | SQL Queries, PL/SQL Programming, Database Design, Transaction Implementation, Report Generation |
| 21UCSC4020 | Object Oriented Analysis and Design Lab | Lab (PCC) | 1 | UML Diagrams, Design Patterns, Object-Oriented Modeling, Case Studies |
| 21UCSC4010 | Advanced Python Programming Lab | Lab (PCC) | 1 | Advanced Data Structures, Libraries (NumPy, Pandas), Web Scraping, GUI Programming, Scripting Automation |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21UCS5010 | Computer Networks | Core (PCC) | 4 | Network Models (OSI/TCP-IP), Data Link Layer, Network Layer, Transport Layer, Application Layer |
| 21UCS5020 | Theory of Computation | Core (PCC) | 3 | Finite Automata, Regular Expressions, Context-Free Grammars, Pushdown Automata, Turing Machines |
| 21BMA5010 | Professional Ethics and Values | Core (HSC) | 3 | Ethical Theories, Professionalism, Intellectual Property, Cyber Ethics, Environmental Ethics |
| 21UCPEC2010 | Cloud Fundamentals | Elective (PEC - Cloud Computing IBM) | 3 | Cloud Characteristics, Service Models (IaaS, PaaS, SaaS), Deployment Models, Virtualization, Cloud Ecosystem |
| 21UCPEC2020 | Cloud Application Development | Elective (PEC - Cloud Computing IBM) | 3 | Cloud Platforms (e.g., IBM Cloud), Serverless Functions, Microservices Architecture, APIs, Containerization |
| 21UCSC5020 | Cloud Computing Lab - 1 | Lab (PCC - Cloud Computing IBM) | 2 | Virtual Machine Provisioning, Storage Services Configuration, Network Configuration, Cloud Monitoring Tools, Basic Cloud Deployments |
| 21UCSL5010 | Computer Networks Lab | Lab (PCC) | 2 | Socket Programming, Network Configuration, Protocol Analysis, Routing Protocols Implementation, Network Security Basics |
| 21UCSC5030 | Problem Solving and Programming in Python | Lab (PCC) | 1 | Python Libraries (NumPy, Pandas), Data Analysis with Python, Web Development with Flask/Django, Scripting Automation, API Integration |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21UCS6010 | Machine Learning | Core (PCC) | 4 | Supervised Learning, Unsupervised Learning, Regression Models, Classification Algorithms, Neural Networks |
| 21UCS6020 | Compiler Design | Core (PCC) | 3 | Lexical Analysis, Syntax Analysis, Semantic Analysis, Intermediate Code Generation, Code Optimization |
| 21UCPEC2030 | Cloud Infrastructure Management | Elective (PEC - Cloud Computing IBM) | 3 | Compute and Storage Services, Network Management in Cloud, Resource Monitoring and Logging, Infrastructure as Code (IaC), Cloud Migration Strategies |
| 21UCPEC2040 | Cloud Security and Compliance | Elective (PEC - Cloud Computing IBM) | 3 | Identity & Access Management, Data Security & Encryption, Network Security in Cloud, Compliance Frameworks (e.g., GDPR, HIPAA), Threat Detection and Response |
| 21UCSC6020 | Cloud Computing Lab - 2 | Lab (PCC - Cloud Computing IBM) | 2 | Container Orchestration (Kubernetes), CI/CD Pipelines on Cloud, Serverless Application Development, Cloud Automation Tools, Security Hardening in Cloud |
| 21UCSL6010 | Machine Learning Lab | Lab (PCC) | 2 | Implementing ML Algorithms, Data Preprocessing Techniques, Model Training and Tuning, Evaluation Metrics, Using ML Libraries (Scikit-learn, TensorFlow) |
| 21UCINT6010 | Internship | Internship (INT) | 1 | Industry Project Execution, Technical Report Writing, Professional Skills Development, Real-world Problem Solving, Corporate Environment Exposure |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21UCS7010 | Data Analytics | Core (PCC) | 4 | Data Preprocessing, Exploratory Data Analysis, Statistical Inference, Predictive Modeling, Data Visualization |
| 21UCS7020 | Full Stack Development | Core (PCC) | 3 | Frontend Technologies (React/Angular), Backend Frameworks (Node.js/Spring), Database Integration, RESTful APIs, Deployment Strategies |
| 21UCPEC2050 | Cloud Data Management | Elective (PEC - Cloud Computing IBM) | 3 | Cloud Databases (SQL/NoSQL), Big Data Analytics on Cloud, Data Warehousing Solutions, Data Lake Architectures, Data Governance and Compliance |
| 21UCPEC2060 | DevOps on Cloud | Elective (PEC - Cloud Computing IBM) | 3 | Version Control with Git, Continuous Integration/Delivery (CI/CD), Containerization (Docker), Configuration Management, Monitoring and Logging Tools |
| 21UCS7030 | Open Elective 1 | Elective (OEC) | 3 | Selected Topics, Interdisciplinary Study, Skill Enhancement, General Knowledge, Emerging Technologies |
| 21UCSC7010 | Data Analytics Lab | Lab (PCC) | 2 | Data Cleaning and Transformation, Data Visualization Tools (Tableau, PowerBI), Statistical Analysis Implementation, Predictive Model Building, Reporting and Interpretation |
| 21UCSL7020 | Full Stack Development Lab | Lab (PCC) | 2 | Building Web Applications, API Development and Integration, Database Management (SQL/NoSQL), Authentication and Authorization, Deployment to Cloud Platforms |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 21UCPROJ8010 | Major Project | Project (PROJ) | 12 | Project Planning and Management, Design and Implementation, Testing and Evaluation, Technical Report Writing, Project Presentation and Defense |
| 21UCS8010 | Open Elective 2 | Elective (OEC) | 3 | Selected Topics, Interdisciplinary Study, Skill Enhancement, General Knowledge, Emerging Technologies |
| 21UCSINT8010 | Internship | Internship (INT) | 6 | Advanced Industry Exposure, Corporate Training, Specialized Project Work, Professional Skill Refinement, Career Planning and Mentorship |
