The curriculum design of the major in Computer Science and Engineering is in keeping with the multidisciplinary emphasis of the BTech programme as a whole. It combines a rigorous grounding in the field of computer science with added emphasis on the physical and architectural design of modern computer systems. Based on the breadth of the education provided, graduates will be able to design, develop and deploy computing systems across the hardware–software spectrum.
The core courses in Computer Science and Engineering introduce students to themes such as digital electronics, data structures, database management system, computer organisation, computer architecture, algorithm design, operating systems, computer networks, embedded system design, and theory of computing. These courses will enable students to develop expertise as well as widen their competence through exposure to deep research in the areas of data science, cyber physical systems, intelligent systems, and theoretical computer science. Electives will allow students to develop their own area of specialization within the major.
One of the unique aspects of an Ahmedabad engineering education is its Engineering Foundation. The Engineering Foundation is a core that is common to all engineering majors. It comprises courses that cover the foundational knowledge of most engineering disciplines It encompass topics in electrical, computer science, chemical and mechanical engineering, amongst other fields. Besides imparting breadth, these courses will enable students and graduates to work in interdisciplinary teams and provide a robust foundation to becoming a contemporary engineer.
On the completion of the major, students will:
The Computer Science and Engineering programme of Ahmedabad University prepares students to be versatile and choose from diverse career paths. Our education equips students to pursue research, higher education and employment alike in software engineering, hardware design, IoT, data analytics, and other areas.
| Offered by | School of Engineering and Applied Science |
| Programme | Bachelor of Technology |
| Degree | Bachelor of Technology |
| Minimum Programme Credits | 146 |
| Minimum Major Credits | 86 |
| Computer Science and Engineering is also offered as a MINOR | |
Democracy and Justice
Environment and Climate Change
Neighbourhoods
Water
The studios deliver interdisciplinary learning around six domains:
Data Science, Communication, Behaviour, Constitution & Civilisation, Materials, and Biology & Life.
| Humanities & Languages Elective |
| Social Sciences: Managerial Economics OR Microeconomics OR Macroeconomics |
| Biological & Life Sciences Elective |
| Mathematical & Physical Sciences: Data Science |
| Performance & Visual Arts Elective |
| GER Elective 1: Communication I |
| GER Elective 2: Communication II |
| GER Elective 3: Multivariable Calculus |
| GER Elective 4: Any course at the university outside the major |
| GER Elective 5: Any course at the university outside the major |
| Major Requirements | Credits |
|---|---|
| Engineering Foundation | 20 |
| Materials Science and Engineering | |
| Mechanics of Rigid Bodies | |
| Fundamentals of Computer Programming | |
| Electronics and Magnetic Circuits and Devices | |
| Sensors, Instruments and Experimentation | |
| Visualisation | |
| Product Realisation | |
| Design, Innovation and Making | |
| Communication III: Engineering Report Writing | |
| Major Core | 45 |
| Object Oriented Programming Laboratory | |
| Discrete Mathematics | |
| Applied Linear Algebra | |
| Signal and Systems | |
| Data Structures | |
| Probability and Stochastic Processes | |
| Digital Design | |
| Database Management System | |
| Computer Organisation and Architecture | |
| Design and Analysis of Algorithms | |
| Operating Systems | |
| Embedded System Design | |
| Computer Networks | |
| Theory of Computing | |
| Major Electives | 12 |
| VLSI Design | |
| Parallel and Distributed Systems | |
| Machine Vision : Learning and Applications | |
| Advanced Computer Arithmetic: Algorithms and Sub-systems | |
| Probabilistic Graphical Models | |
| Internet of Things | |
| Cloud Computing | |
| Artificial Intelligence | |
| Optimisation Theory and Algorithms | |
| High Performance Computing | |
| Mobile Robots | |
| High Performance Computing | |
| Data Analytics and Visualisation | |
| Digital Signal Processing | |
| Algorithms & Optimisation for Big Data | |
| Machine Learning | |
| Integrated Circuit Device and Technology | |
| Renewable Energy Technology | |
| Human Computer Interaction | |
| Computer Vision | |
| Introduction to Blockchain: Technologies, Approaches and Applications | |
| Advanced Statistics | |
| Big Data Analytics | |
| Social Network Analysis | |
| Python Programming | |
| Software Engineering | |
| High Speed Computer Architecture | |
| Mooc: Mathematics For Machine Learning Specialisation | |
|
Internship + Undergraduate Thesis/Capstone Project OR |
9 |
Free Electives provide flexibility to students to customise their education at the University.
All students will complete 30 hours of engagement with society to develop a sense of engagement, concern, build problem solving skills, and understand the role of an engaged member of a society. This will be done through a mandatory course, Engagement with Society, that would be a graduation requirement. This course can be taken anytime during the stay at the University but it is advised that the student engage with the courses during the first two years at the University. The 30 hours of volunteer work may be completed during one semester or during the Winter or Summer Break.
Note: Most courses have a laboratory/workshop course attached to it to provide hands-on learning. Some courses are exclusively laboratory/project-based courses.