Computer Engineering is evergreen and ever-progressive engineering stream. In the past decade, Computer science engineering has emerged as the most preferred choice of students. It is very much in demand among the students and professionals who are planning a career in the computer industry or who are hoping to pursue their dreams of achieving their dreams by taking up this to their post-graduate level.
Computer Engineering Diploma
Computer science is concerned with the study of computers and computing, focusing on algorithms, programs and programming, and computational systems. The main goal of the discipline is to build a systematic body of knowledge, theories, and models that explain the properties of computational systems and to show how this body of knowledge can be used to produce solutions to real-world computational problems.
Computer science is the intellectual discipline underlying information technology, which is widely accepted now as the ascendant technology of the next century. Students in computer science at Rice benefit from the latest in equipment and ideas as well as the flexibility of the educational programs. The research interests of the faculty include algorithms and complexity, artificial intelligence and robotics, compilers, distributed and parallel computation, graphics and visualization, operating systems, and programming languages.
The department offers a diploma in Computer science
- Computer Engineering topics include computer architecture, high-performance application-specific systems, mobile, and embedded systems, integrated circuits and antennas for medical imaging and bio-sensing, and parallel I/O for large-scale network storage systems.
- Data Science topics include data acquisition, data analytics, data storage, and computing infrastructure.
- Neuroengineering topics include neural signal processing, brain-computer interfaces at the device, circuit, and systems levels.
- Photonics, Electronics, and Nano-devices topics include nanophotonics/nano spectroscopy, molecular electronics, biophotonics, ultrafast optics and optoelectronics, materials for energy, semiconductor optics and devices, multispectral imaging and terahertz imaging, and condensed matter physics/materials science.
- Systems topics include: communications systems, dynamical systems and computation, networks, signal and image processing, wireless networking, pattern recognition, scalable personal healthcare, and computational Neuroscience and Neural engineering
| Total Course Fee : Rs. 55,500/-* (EMI Option Available) Include : Service Tax, Icard, Study Material, Admission and Examination Fee. |
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| Payment Mode: Online using Credit Card, Debit Card, Net Banking & Offline through Demand Draft / Cheque / Cash | |
| Eligibility : 10th/I.T.I | Duration : 3 Year (After I.T.I. 2 Year) |
Course Syllabus :
| PART-I | PART-II |
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| PART-III | |
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