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B-E in Computer Engineering at Gujarat Technological University
Ahmedabad, Gujarat
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About the Specialization
What is Computer Engineering at Gujarat Technological University Ahmedabad?
This Computer Engineering program at Gujarat Technological University focuses on equipping students with robust theoretical knowledge and practical skills in computing. It covers core areas like programming, data structures, algorithms, operating systems, and networking, integrated with modern advancements like AI, Machine Learning, and Cloud Computing. The curriculum is designed to meet the evolving demands of the Indian IT industry and fosters innovation and problem-solving abilities.
Who Should Apply?
This program is ideal for ambitious fresh graduates passionate about technology and software development. It also suits working professionals aiming to upskill in cutting-edge domains like AI/ML, data science, or cybersecurity. Career changers with a strong analytical background looking to transition into the dynamic IT sector will also find it beneficial. A strong aptitude for mathematics and logical reasoning is advantageous.
Why Choose This Course?
Graduates of this program can expect diverse career paths in India, including Software Developer, Data Scientist, Cybersecurity Analyst, AI/ML Engineer, and Cloud Architect. Entry-level salaries typically range from INR 4-8 LPA, growing significantly with experience to 15-30+ LPA. The program aligns with industry certifications, enhancing employability in both Indian startups and global MNCs operating within the country.
Student Success Practices
Foundation Stage
Build a Strong Programming Foundation- (Semester 1-2)
Consistently practice fundamental programming concepts (C/Python) learned in class. Focus on logic building and problem-solving, not just syntax. Participate in online coding challenges to sharpen skills early on.
Tools & Resources
HackerRank, CodeChef, GeeksforGeeks, NPTEL courses on Programming
Career Connection
Essential for cracking coding rounds in placements for any IT role, laying the groundwork for advanced problem-solving.
Develop Engineering Graphics & Design Acumen- (Semester 1-2)
Master engineering drawing tools and software (AutoCAD, Fusion 360 basics). Understand spatial visualization and design principles. Apply concepts to small personal projects to enhance practical understanding.
Tools & Resources
AutoCAD tutorials, YouTube channels for EG, Local maker spaces
Career Connection
Develops crucial visualization skills beneficial for UI/UX design, understanding system architectures, and technical documentation in later stages.
Cultivate Interdisciplinary Problem Solving- (Semester 1-2)
Actively engage in basic science and engineering courses. Relate mathematical concepts to real-world engineering problems. Form study groups to discuss and solve diverse problems collaboratively, fostering critical thinking.
Tools & Resources
Khan Academy, MIT OpenCourseware, Peer study groups, Departmental workshops
Career Connection
Fosters holistic thinking, crucial for complex system design and innovation, enabling students to approach problems from multiple perspectives.
Intermediate Stage
Master Data Structures and Algorithms (DSA)- (Semester 3-4)
Practice DSA thoroughly using various programming languages. Solve competitive programming problems consistently. Understand time and space complexity to write efficient code, which is critical for interviews.
Tools & Resources
LeetCode, InterviewBit, GeeksforGeeks DSA section, NPTEL course on DSA
Career Connection
Non-negotiable for securing product-based company placements and excelling in technical interviews across almost all IT roles.
Build Practical Projects and Contribute to Open Source- (Semester 4-5)
Apply theoretical knowledge by developing semester projects focusing on web development, mobile apps, or database systems. Start contributing to beginner-friendly open-source projects to gain collaborative experience.
Tools & Resources
GitHub, GitLab, Stack Overflow, Frameworks like React/Angular, Django/Node.js, Android Studio
Career Connection
Creates a strong portfolio, demonstrates practical skills, and provides real-world experience, highly valued by recruiters for internships and full-time roles.
Network with Industry Professionals and Peers- (Semester 4-5)
Attend technical workshops, seminars, and conferences (both online and offline). Connect with alumni and professionals on LinkedIn. Participate in hackathons and coding competitions to expand your network and learn.
Tools & Resources
LinkedIn, Technical communities (e.g., Google Developer Groups, local chapters), Campus placement cell events
Career Connection
Opens doors to internship opportunities, mentorship, and insights into industry trends, aiding career decision-making and job searches.
Advanced Stage
Specialize and Deepen Technical Expertise- (Semester 6-7)
Choose electives wisely based on career interests (AI/ML, Data Science, Cybersecurity, Cloud). Pursue advanced certifications in chosen domains. Read research papers and industry reports to stay updated.
Tools & Resources
Coursera, Udemy, edX, AWS/Azure/GCP certifications, deeplearning.ai
Career Connection
Positions you as a specialist, increasing your value proposition for targeted roles and potentially higher packages in niche technology areas.
Prepare for Placements and Professional Readiness- (Semester 7-8)
Develop a strong resume and LinkedIn profile. Practice mock interviews (technical and HR) rigorously. Work on communication and soft skills. Engage in intensive company-specific preparation and aptitude tests.
Tools & Resources
Placement cell workshops, Mock interview platforms, Professional resume builders, LinkedIn Learning
Career Connection
Directly leads to successful placements in desired companies, ensuring a smooth transition from academics to the corporate professional world.
Lead Capstone Projects with Real-World Impact- (Semester 7-8)
Undertake a significant final year project (Project-C) that addresses a real-world problem, potentially in collaboration with an industry partner. Focus on innovation, scalability, and complete documentation.
Tools & Resources
Project management tools (Jira, Trello), Advanced IDEs, Cloud platforms, Mentorship from faculty/industry
Career Connection
Showcases leadership, complex problem-solving abilities, and a product mindset, making you a strong candidate for advanced engineering roles or entrepreneurship.
Program Structure and Curriculum
Eligibility:
- Passed 10+2 with Physics, Chemistry, and Mathematics from a recognized board with at least 45% (40% for reserved category) marks in aggregate. Must have a valid GUJCET / JEE (Main) score.
Duration: 8 semesters / 4 years
Credits: 171 Credits
Assessment: Internal: 30%, External: 70%
Semester-wise Curriculum Table
Semester 1
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 3110007 | Environmental Science | Core | 2 | Environmental Awareness, Ecosystems and Biodiversity, Natural Resources and Energy, Pollution and Waste Management, Sustainable Development Goals |
| 3110008 | Basic Civil Engineering | Core | 2 | Building Materials and Construction, Surveying and Geomatics, Transportation Engineering, Water Resources Engineering, Elements of Infrastructure |
| 3110009 | Engineering Graphics | Core | 4 | Orthographic Projections, Isometric Projections, Sectional Views, Development of Surfaces, Introduction to AutoCAD |
| 3110005 | Basic Electrical Engineering | Core | 4 | DC and AC Circuits, Transformers and Machines, Electrical Power Systems, Measuring Instruments, Electrical Safety and Wiring |
| 3110001 | Calculus | Core | 4 | Limits, Continuity and Differentiability, Applications of Derivatives, Methods of Integration, Partial Derivatives, Multiple Integrals |
| 3110003 | Physics | Core | 4 | Quantum Mechanics, Wave Optics, Electromagnetism, Solid State Physics, Nanotechnology and Lasers |
| 3110011 | Indian Constitution | Audit | 0 | Constitutional History, Fundamental Rights and Duties, Directive Principles of State Policy, Structure of Indian Government, Local Self-Government |
Semester 2
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 3110002 | Elements of Mechanical Engineering | Core | 4 | Thermodynamics Basics, IC Engines and Refrigeration, Power Transmission Systems, Manufacturing Processes, Energy Resources and Systems |
| 3110004 | Chemistry | Core | 4 | Water Technology, Engineering Materials, Fuels and Combustion, Corrosion and its Control, Polymers and Composites |
| 3110006 | Programming for Problem Solving | Core | 4 | C Programming Fundamentals, Control Flow and Functions, Arrays and Pointers, Structures and Unions, File I/O and Command Line Arguments |
| 3110010 | Workshop | Core | 2 | Carpentry Shop, Fitting Shop, Welding Shop, Sheet Metal Shop, Foundry Shop |
| 3110013 | English for Professional Development | Core | 2 | Effective Communication Skills, Technical Report Writing, Presentation Skills, Group Discussion Techniques, Interview Preparation |
| 3110014 | Differential Equations and Linear Algebra | Core | 4 | First Order Differential Equations, Higher Order Differential Equations, Matrices and Determinants, Vector Spaces and Subspaces, Eigenvalues and Eigenvectors |
| 3110015 | Basic Electronics | Core | 4 | Semiconductor Diodes, Bipolar Junction Transistors, Operational Amplifiers, Digital Logic Gates, Basic Electronic Circuits |
| 3110016 | Scientific and Engineering Practices | Audit | 0 | Research Methodology, Literature Review, Experimental Design, Data Analysis and Interpretation, Technical Report Preparation |
Semester 3
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 3130704 | Digital Logic Design | Core | 5 | Boolean Algebra and Logic Gates, Combinational Logic Circuits, Sequential Logic Circuits, Registers and Counters, Memory and Programmable Logic |
| 3130701 | Data Structures | Core | 5 | Arrays and Linked Lists, Stacks and Queues, Trees and Binary Search Trees, Graphs and Graph Traversal, Sorting and Searching Algorithms |
| 3130702 | Object-Oriented Programming (C++) | Core | 5 | Classes and Objects, Inheritance and Polymorphism, Constructors and Destructors, Operator Overloading, Exception Handling and Templates |
| 3130703 | Discrete Mathematics | Core | 4 | Set Theory and Logic, Relations and Functions, Graph Theory, Combinatorics and Probability, Algebraic Structures |
| 3130705 | Computer Organization and Architecture | Core | 4 | Computer System Overview, CPU Organization, Memory Hierarchy and Cache, Input/Output Organization, Instruction Set Architectures |
Semester 4
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 3140702 | Operating Systems | Core | 5 | Process Management and Scheduling, Memory Management, File Systems and I/O, Deadlocks and Concurrency Control, Virtualization and Distributed Systems |
| 3140705 | Database Management Systems | Core | 5 | ER Model and Relational Model, SQL Queries and Operations, Normalization and Dependencies, Transaction Management, Concurrency Control and Recovery |
| 3140706 | Design and Analysis of Algorithms | Core | 5 | Algorithm Complexity Analysis, Divide and Conquer Algorithms, Greedy Algorithms, Dynamic Programming, Graph Algorithms |
| 3140707 | Microprocessor and Interfacing | Core | 4 | 8085 Microprocessor Architecture, Assembly Language Programming, Memory Interfacing, I/O Interfacing, Interrupts and Data Transfer Schemes |
| 3140701 | Python Programming | Core | 4 | Python Language Fundamentals, Data Structures in Python, Functions and Modules, Object-Oriented Programming in Python, File Handling and Exception Handling |
Semester 5
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 3150703 | Computer Networks | Core | 5 | OSI and TCP/IP Models, Network Devices and Topologies, IP Addressing and Routing Protocols, Transport Layer Protocols (TCP/UDP), Application Layer Protocols (HTTP, DNS) |
| 3150704 | Theory of Computation | Core | 4 | Finite Automata, Regular Expressions and Languages, Context-Free Grammars, Pushdown Automata, Turing Machines and Undecidability |
| 3150701 | System Programming | Core | 4 | Assemblers and Macro Processors, Loaders and Linkers, Compilers and Interpreters, Lexical Analysis, Syntax Analysis |
| 3150702 | Web Technology | Core | 5 | HTML, CSS, and JavaScript, Client-Server Architecture, Server-side Scripting (PHP/Node.js), Database Connectivity, AJAX and Web Security |
| 3150713 | Software Engineering | Elective | 5 | Software Development Life Cycle, Requirements Engineering, Software Design Principles, Software Testing and Maintenance, Software Project Management |
Semester 6
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 3160707 | Distributed Systems | Core | 4 | Distributed System Architectures, Inter-process Communication, Distributed File Systems, Concurrency Control, Cloud Computing Concepts |
| 3160708 | Compiler Design | Core | 4 | Lexical Analysis, Syntax Analysis (Parsing), Semantic Analysis, Intermediate Code Generation, Code Optimization and Generation |
| 3160709 | Machine Learning | Core | 5 | Supervised Learning Algorithms, Unsupervised Learning Algorithms, Neural Networks and Deep Learning, Reinforcement Learning Basics, Model Evaluation and Deployment |
| 3160710 | Big Data Analytics | Elective | 5 | Introduction to Big Data, Hadoop Ecosystem (HDFS, MapReduce), Spark and Data Processing, NoSQL Databases, Data Visualization and Analytics |
| 3160706 | Project-A | Project | 4 | Problem Identification and Scoping, Literature Survey, System Design and Architecture, Module Development and Integration, Report Writing and Presentation |
Semester 7
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 3170701 | Data Science & Analytics | Core | 4 | Data Preprocessing and Exploration, Statistical Methods for Data Analysis, Predictive Modeling and Regression, Clustering and Classification, Introduction to Data Visualization |
| 3170702 | Artificial Intelligence | Core | 4 | AI Problem Solving Agents, Search Algorithms (Heuristic and Uninformed), Knowledge Representation and Reasoning, Expert Systems, Introduction to Machine Learning |
| 3170705 | Mobile Application Development | Elective | 5 | Android/iOS Development Environment, User Interface Design (UI/UX), Data Storage and Persistence, Networking and API Integration, Application Testing and Deployment |
| 3170708 | Natural Language Processing | Elective | 4 | Text Preprocessing and Tokenization, N-gram Models and Language Modeling, Part-of-Speech Tagging, Sentiment Analysis, Introduction to Machine Translation |
| 3170704 | Project-B | Project | 4 | Advanced System Design, Module Implementation and Testing, Performance Evaluation, User Acceptance Testing, Technical Documentation and Presentation |
Semester 8
| Subject Code | Subject Name | Subject Type | Credits | Key Topics |
|---|---|---|---|---|
| 3180701 | Project-C | Project | 10 | Large Scale System Development, Industry Standard Practices, Deployment and Maintenance, Innovation and Scalability, Comprehensive Report and Viva Voce |
| 3180702 | DevOps | Elective | 5 | Introduction to DevOps Principles, Continuous Integration/Continuous Deployment (CI/CD), Version Control with Git, Containerization (Docker) and Orchestration (Kubernetes), Infrastructure as Code and Monitoring |
