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B-TECH-LATERAL-ENTRY 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 Lateral Entry program at Alliance University, Bengaluru, focuses on providing a robust foundation and advanced knowledge in computing. The curriculum is designed to meet the evolving demands of the Indian IT industry, emphasizing practical skills and theoretical depth to differentiate graduates in a competitive job market.
Who Should Apply?
This program is ideal for diploma holders or B.Sc. graduates with a mathematics background, seeking to transition into a full-fledged engineering degree. It caters to individuals passionate about technology, looking to deepen their understanding of computer systems, software development, data science, and artificial intelligence for entry or mid-level roles.
Why Choose This Course?
Graduates of this program can expect promising career paths in India as Software Developers, Data Scientists, AI Engineers, or Cloud Architects. Entry-level salaries typically range from INR 4-8 LPA, with experienced professionals earning significantly more. The program aligns with industry certifications, fostering continuous growth in top Indian IT companies and startups.
Student Success Practices
Foundation Stage
Strengthen Core Programming & Data Structures- (Semester 3-4)
Dedicate significant time in Semesters 3 and 4 to master Data Structures, Algorithms, and Object-Oriented Programming (Java/C++). Practice coding daily on platforms, focusing on problem-solving logic crucial for future semesters and interviews.
Tools & Resources
HackerRank, LeetCode, GeeksforGeeks, Coding Ninjas
Career Connection
A strong foundation is paramount for technical interviews, aptitude tests, and securing core IT roles in product and service-based companies across India.
Active Participation in Labs and Mini-Projects- (Semester 3-5)
Engage fully in all laboratory sessions and the Semester 5 Mini Project. Use these opportunities to apply theoretical knowledge, work collaboratively, and learn troubleshooting. Proactively seek guidance from lab instructors and peers.
Tools & Resources
GitHub, Jupyter Notebooks, VS Code, Project Management Tools
Career Connection
Practical exposure translates directly into real-world problem-solving skills, making you a more attractive candidate for internships and entry-level engineering positions.
Build a Professional Network and Communication Skills- (Semester 3-4)
Attend guest lectures, workshops, and industry seminars organized by the university or local tech communities. Focus on improving technical communication and presentation skills through courses like Technical Communication, essential for team collaboration and client interactions.
Tools & Resources
LinkedIn, Meetup Groups, Alliance University Career Services
Career Connection
Networking opens doors to internship and job opportunities, while strong communication is critical for career progression and leadership roles in Indian companies.
Intermediate Stage
Deep Dive into Specialization Electives & Projects- (Semester 5-6)
In Semesters 5 and 6, carefully choose professional electives based on your career interests (e.g., AI/ML, Cyber Security, Cloud Computing). Utilize Mini Project II to build a substantial portfolio demonstrating expertise in your chosen area.
Tools & Resources
Coursera/edX for specialized courses, Kaggle, AWS/Azure Free Tier
Career Connection
Specialized knowledge makes you competitive for niche roles, while a strong project portfolio is a key differentiator for recruiters in India''''s booming tech sectors.
Seek Industry Internships and Certifications- (Semester 6-7)
Actively pursue internships after Semester 6 to gain real-world industry experience. Simultaneously, work on industry-recognized certifications (e.g., AWS Certified Cloud Practitioner, Google TensorFlow Developer) that complement your coursework.
Tools & Resources
Internshala, Naukri.com, Official Certification Platforms
Career Connection
Internships provide crucial corporate exposure and often lead to pre-placement offers. Certifications validate your skills, enhancing employability in the Indian and global markets.
Participate in Coding Competitions & Hackathons- (Semester 5-7)
Engage in inter-college or national coding competitions and hackathons. This not only hones your problem-solving skills under pressure but also provides valuable exposure and networking opportunities with industry professionals and peers.
Tools & Resources
CodeChef, Topcoder, Devpost, Local University Hackathons
Career Connection
Winning or even participating in such events adds significant value to your resume, showcasing practical aptitude and teamwork to potential employers.
Advanced Stage
Focus on Capstone Project & Research- (Semester 7-8)
Invest deeply in your Semester 7 Project Work – Phase I and Semester 8 Project Work – Phase II. Treat it as an opportunity to solve a complex real-world problem, potentially collaborating with faculty on research. Publish your work if possible.
Tools & Resources
Research Papers (IEEE, ACM), GitHub, LaTeX for documentation
Career Connection
A high-quality capstone project is a powerful demonstration of your comprehensive engineering skills, attracting attention from top-tier companies and potentially leading to higher studies or R&D roles.
Intensive Placement Preparation- (Semester 7-8)
In the final semesters, dedicate time to rigorous placement preparation including mock interviews (technical, HR), aptitude tests, and resume building. Leverage the university''''s career services for guidance and workshops.
Tools & Resources
Company-specific interview guides, Mock interview platforms, Alliance University Placement Cell
Career Connection
Thorough preparation ensures you are interview-ready for the campus placement drives, maximizing your chances of securing a desirable job offer with a competitive salary package.
Develop Leadership & Mentorship Skills- (Semester 7-8)
Seek opportunities to lead student chapters, mentor junior students, or organize technical events. The Technical Seminar in Semester 8 is a chance to showcase advanced presentation and analytical skills, crucial for leadership roles.
Tools & Resources
Toastmasters International, Student Clubs, Departmental Events
Career Connection
Leadership and mentorship abilities are highly valued in the Indian IT sector, paving the way for managerial and team lead positions post-graduation.
Program Structure and Curriculum
Eligibility:
- Passed Diploma examination with at least 45% marks (40% for reserved category) in any branch of Engineering and Technology. OR Passed B.Sc. Degree from a UGC recognized University with at least 45% marks (40% for reserved category) and passed 10+2 with Mathematics. OR Passed D.Voc. Stream in the same or allied sector. (Note: B.Sc. and D.Voc. students must clear Engineering Graphics/Drawing and Engineering Mechanics of First Year Engineering Programme)
Duration: 6 semesters (3 years) - joining in 2nd year
Credits: 119 Credits
Assessment: Internal: 50%, External: 50%
Semester-wise Curriculum Table
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA301 | Engineering Mathematics – III | Ability Enhancement Course (AEC) | 3 | Laplace Transforms, Fourier Series, Partial Differential Equations, Numerical Methods: Interpolation, Numerical Methods: Integration |
| CS301 | Data Structures & Applications | Professional Core Course (PCC) | 4 | Introduction to Data Structures, Stacks and Queues, Linked Lists, Trees, Graphs, Hashing |
| CS302 | Computer Organization & Architecture | Professional Core Course (PCC) | 4 | Basic Structure of Computers, Machine Instructions, Processor Organization, Memory System, I/O Organization |
| EC301 | Analog & Digital Electronics | Engineering Science Course (ESC) | 3 | Analog Circuits, Operational Amplifiers, Digital Logic Families, Combinational Logic, Sequential Logic |
| CS303 | Software Engineering | Professional Core Course (PCC) | 3 | Software Process Models, Requirements Engineering, Design Engineering, Software Testing, Project Management |
| CS3L01 | Data Structures & Applications Laboratory | Professional Core Course (PCC) - Lab | 1 | Array operations implementation, Stack and Queue implementation, Linked list operations, Tree traversal algorithms, Graph algorithms |
| EC3L01 | Analog & Digital Electronics Laboratory | Engineering Science Course (ESC) - Lab | 1 | Operational amplifier applications, Logic gates verification, Combinational circuits design, Sequential circuits implementation, ADC/DAC interfacing |
| CS3L02 | Programming with Java Laboratory | Professional Core Course (PCC) - Lab | 1 | Object-Oriented Programming in Java, Exception Handling, Multithreading, GUI Programming (Swing/JavaFX), Database Connectivity (JDBC) |
| EG301 | Technical Communication | Humanities and Social Sciences including Management Course (HSMC) | 1 | Presentation Skills, Report Writing, Group Discussion Techniques, Interview Skills, Verbal Aptitude |
| CL301 | Constitutional Law of India | Ability Enhancement Course (AEC) - Non-Credit | 0 | Indian Constitution Overview, Fundamental Rights and Duties, Directive Principles of State Policy, Union and State Governments, Indian Judiciary System |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| MA401 | Engineering Mathematics – IV | Ability Enhancement Course (AEC) | 3 | Complex Analysis, Probability Theory, Random Variables, Joint Probability Distributions, Sampling Distribution & Hypothesis Testing |
| CS401 | Design & Analysis of Algorithms | Professional Core Course (PCC) | 4 | Introduction to Algorithms, Sorting and Searching, Greedy Algorithms, Dynamic Programming, Graph Algorithms, NP-Completeness |
| CS402 | Operating Systems | Professional Core Course (PCC) | 4 | Introduction to Operating Systems, Process Management, CPU Scheduling, Memory Management, Virtual Memory, File Systems |
| CS403 | Database Management Systems | Professional Core Course (PCC) | 4 | Introduction to DBMS, ER Model, Relational Model, SQL, Normalization, Transaction Management |
| CS404 | Object-Oriented Programming with C++ | Professional Core Course (PCC) | 3 | OOP Concepts, Classes and Objects, Inheritance and Polymorphism, Templates, Exception Handling |
| CS4L01 | Operating Systems Laboratory | Professional Core Course (PCC) - Lab | 1 | Linux commands and Shell scripting, Process management, CPU scheduling algorithms, Memory allocation strategies, Inter-process communication |
| CS4L02 | Database Management Systems Laboratory | Professional Core Course (PCC) - Lab | 1 | SQL queries (DDL, DML, DCL), Schema design and implementation, PL/SQL programming, Triggers and Stored Procedures, Database connectivity |
| CS4L03 | Object-Oriented Programming with C++ Laboratory | Professional Core Course (PCC) - Lab | 1 | Class and object implementation, Inheritance and polymorphism examples, Operator overloading, File I/O operations, Standard Template Library (STL) usage |
| EN401 | Environmental Science & Sustainability | Ability Enhancement Course (AEC) - Non-Credit | 0 | Ecosystems and Biodiversity, Environmental Pollution, Solid Waste Management, Climate Change and Global Warming, Sustainable Development |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS501 | Artificial Intelligence | Professional Core Course (PCC) | 4 | Introduction to AI, Problem Solving and Search Algorithms, Knowledge Representation and Reasoning, Machine Learning Basics, Natural Language Processing Fundamentals |
| CS502 | Formal Automata & Compiler Design | Professional Core Course (PCC) | 4 | Finite Automata, Regular Expressions, Context-Free Grammars, Lexical Analysis, Syntax Analysis, Intermediate Code Generation |
| CS503 | Computer Networks | Professional Core Course (PCC) | 4 | Network Models (OSI, TCP/IP), Physical Layer, Data Link Layer, Network Layer, Transport Layer, Application Layer |
| CSPE5XX | Professional Elective – I (Choice of 4) | Professional Elective Course (PEC) | 3 | Distributed Computing (CSPE501): Concepts, Communication, Consistency, Fault Tolerance, Graph Theory (CSPE502): Basic Concepts, Trees, Connectivity, Coloring, Web Technologies (CSPE503): HTML, CSS, JavaScript, Server-side Scripting, Advanced Data Structures & Algorithms (CSPE504): Heaps, Trees, Amortized Analysis |
| OEC5XX | Open Elective – I | Open Elective Course (OEC) | 3 | Elective topics from other engineering/non-engineering departments, Diverse fields like management, humanities, or other sciences |
| CS5L01 | Artificial Intelligence Laboratory | Professional Core Course (PCC) - Lab | 1 | Implementation of search algorithms, Logic programming using Prolog, Developing simple expert systems, Introduction to AI/ML libraries |
| CS5L02 | Computer Networks Laboratory | Professional Core Course (PCC) - Lab | 1 | Network configuration commands, Socket programming, Protocol analysis using Wireshark, Network security tools, Client-server application development |
| CSPE5LXX | Professional Elective Laboratory – I | Professional Elective Course (PEC) - Lab | 1 | Practical implementation related to chosen Professional Elective – I |
| CS5P01 | Mini Project – I | Professional Core Course (PCC) - Project | 2 | Problem identification and literature survey, Project design and planning, Implementation of a small-scale system, Testing and debugging, Report writing and presentation |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS601 | Machine Learning | Professional Core Course (PCC) | 4 | Introduction to Machine Learning, Supervised Learning (Regression, Classification), Unsupervised Learning (Clustering), Reinforcement Learning Basics, Deep Learning Fundamentals |
| CS602 | Web Programming | Professional Core Course (PCC) | 3 | Front-end Development (HTML, CSS, JavaScript), Back-end Development (Node.js/Python/PHP), Database Integration, RESTful APIs, Web Security Fundamentals |
| CS603 | Cloud Computing | Professional Core Course (PCC) | 3 | Cloud Service Models (IaaS, PaaS, SaaS), Cloud Deployment Models, Virtualization Technologies, Cloud Security, Cloud Storage and Databases |
| CSPE6XX | Professional Elective – II (Choice of 4) | Professional Elective Course (PEC) | 3 | Digital Image Processing (CSPE601): Image Enhancement, Restoration, Compression, Internet of Things (IoT) (CSPE602): Architecture, Devices, Protocols, Platforms, Cyber Security (CSPE603): Network Security, Cryptography, Web Security, Forensics, Big Data Analytics (CSPE604): Hadoop, Spark, NoSQL, Data Visualization |
| OEC6XX | Open Elective – II | Open Elective Course (OEC) | 3 | Elective topics from other engineering/non-engineering departments, Diverse fields like management, humanities, or other sciences |
| CS6L01 | Machine Learning Laboratory | Professional Core Course (PCC) - Lab | 1 | Data preprocessing and feature engineering, Implementing classification and regression models, Clustering algorithms application, Model evaluation and hyperparameter tuning |
| CS6L02 | Cloud Computing Laboratory | Professional Core Course (PCC) - Lab | 1 | Deployment on AWS/Azure/GCP, Virtual machine and container management, Using cloud storage services, Implementing serverless functions |
| CSPE6LXX | Professional Elective Laboratory – II | Professional Elective Course (PEC) - Lab | 1 | Practical implementation related to chosen Professional Elective – II |
| EG601 | Technical Skill Development | Humanities and Social Sciences including Management Course (HSMC) | 1 | Advanced Communication Skills, Interview Strategies, Aptitude and Logical Reasoning, Professional Ethics, Teamwork and Leadership |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CS701 | Research Methodology | Professional Core Course (PCC) | 3 | Research Problem Formulation, Literature Review, Research Design, Data Collection and Analysis, Scientific Report Writing |
| CSPE7XX | Professional Elective – III (Choice of 4) | Professional Elective Course (PEC) | 3 | Data Science (CSPE701): Data Acquisition, EDA, Predictive Modeling, Blockchain Technology (CSPE702): Cryptography, DLT, Smart Contracts, Software Defined Networks (CSPE703): SDN Architecture, OpenFlow, NFV, Augmented Reality & Virtual Reality (CSPE704): AR/VR Principles, 3D Graphics |
| CSPE7XX | Professional Elective – IV (Choice of 4) | Professional Elective Course (PEC) | 3 | Data Science (CSPE701): Data Acquisition, EDA, Predictive Modeling, Blockchain Technology (CSPE702): Cryptography, DLT, Smart Contracts, Software Defined Networks (CSPE703): SDN Architecture, OpenFlow, NFV, Augmented Reality & Virtual Reality (CSPE704): AR/VR Principles, 3D Graphics |
| OEC7XX | Open Elective – III | Open Elective Course (OEC) | 3 | Elective topics from other engineering/non-engineering departments, Diverse fields like management, humanities, or other sciences |
| CS7P01 | Project Work – Phase I | Professional Core Course (PCC) - Project | 4 | Problem identification and scope definition, Extensive literature survey, Methodology and architecture design, Initial prototype development, Interim report and presentation |
| CSI701 | Internship | Professional Core Course (PCC) - Internship | 3 | Industry exposure and real-world project experience, Application of theoretical knowledge, Professional skill development (communication, teamwork), Networking with industry professionals, Internship report and presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| CSPE8XX | Professional Elective – V (Choice of 4) | Professional Elective Course (PEC) | 3 | Quantum Computing (CSPE801): Qubits, Quantum Gates, Algorithms, Deep Learning (CSPE802): Neural Networks, CNNs, RNNs, Transformers, Game Development (CSPE803): Game Engines, Design, 3D Modeling, Natural Language Processing (CSPE804): Language Models, Text Classification |
| CS8P01 | Project Work – Phase II | Professional Core Course (PCC) - Project | 10 | Advanced system design and implementation, Rigorous testing and performance evaluation, Result analysis and optimization, Comprehensive project documentation, Final presentation and defense |
| CSS801 | Technical Seminar | Professional Core Course (PCC) - Seminar | 2 | In-depth literature review on a technical topic, Analysis of recent research papers, Effective technical presentation skills, Q&A session management, Technical report writing |
