B.Tech. COMPUTER SCIENCE AND ENGINEERING
(Specialization in Artificial Intelligence & Machine Learning)
Artificial intelligence has emerged as the vital force behind several revolutionary digital innovations and technologies. It has been growing at an increased pace due to its versatility and advanced features in areas including health, transport, security and many more. With the world been quietly reshaped by machine learning, it has led to an enormous change in the course of our lives. Implementing ML in day to day lives resulted in making our jobs both easier and productive. Apart from providing advanced solution it has turned out to be an important metric for competitive edge business and innovation.
This course would be a pathway for students to focus on real time applications across all fields including information technology, media and entertainment, gaming, automative industry, and even banking and finance. Hands on training would keep students connected to advanced features of such intelligent learning systems and enhance the quality of present-day technology. The course would provide them in finding a lucrative career and a bright future both in terms of technology, research and innovation.
DURATION: 4 YEARS.
Important courses:
Reinforcement Learning
Machine Learning Techniques
Neural Networks and Deep Learning
Artificial Intelligence: Principles and Techniques
Introduction to Data Science
Pattern Matching and Anomaly Detection.
Infrastructure:
Artificial Intelligence being the most sought-after skill in the industry, Karunya is partnering with Nvidia, the technology leader in AI computing. As a part of this initiative, Karunya has procured Nvidia DGX Station, with four Nvidia Tesla V100 Tensor Core GPUs each with 32 GB memory and Intel Xeon processor with 20 cores, the workstation delivers 500 teraFLOPS of AI power. The DGX Station can accelerate machine learning training up to 215X faster and carry out deeper exploration in the fields of Data Science, Machine Learning and Deep Learning. Also the department has signed an MoU with IBM India Pvt Ltd. The IBM Big Data Software Centre of Excellence is an initiative with a vision to enable the students and faculty in higher education to gain the relevant skills in Big Data Analytics, experiential learning and to make them adept with latest Big Data technology and tools. Currently the researchers are involved in research projects on Bio-medical text mining, Analytics in surveillance videos, Data Analytics on Social Media data, Drug Analysis, Predictive Analytics for cancer, fraudulent data Analytics, and traffic data analytics.
SEMESTER-WISE CURRICULUM
Semester-1 | |||||
Course Code | Course Title | L | T | P | Credits |
| English / French / German | 2 | 0 | 0 | 2 |
20CS2024 | Ethics in Information Technology | 2 | 0 | 0 | 2 |
20MA1005 | Mathematical Foundations of Computing | 3 | 1 | 0 | 4 |
20CS1001 | Programming for Problem Solving | 3 | 0 | 3 | 4.5 |
18EC2003 | Digital System Design | 3 | 0 | 0 | 3 |
18EC2004 | Digital System Design Lab | 0 | 0 | 2 | 1 |
| Mandatory Course I |
|
|
|
|
Total | 16.5 | ||||
Semester-2 | |||||
20MA1006 | Calculus, Vector Spaces and Laplace Transform | 3 | 1 | 0 | 4 |
20CS1002 | Python Programming | 3 | 0 | 3 | 4.5 |
20CS2030 | Internet of Things | 3 | 0 | 3 | 4.5 |
18EC2028 | Microprocessor and Microcontroller | 3 | 0 | 0 | 3 |
18EC2029 | Microprocessor and Microcontroller Lab | 0 | 0 | 2 | 1 |
20MS2003 | Concepts of Entrepreneurship | 1 | 0 | 0 | 1 |
| Mandatory Course II |
|
|
|
|
Total | 18 | ||||
Semester-3 | |||||
20MA2004 | Partial Differential Equations, Probability and Statistics | 3 | 1 | 0 | 4 |
21CS2007 | Artificial Intelligence: Principles and Techniques | 3 | 0 | 0 | 3 |
20CS2013 | Data Structures and Algorithms | 3 | 0 | 3 | 4.5 |
20CS2035 | Object Oriented Programming | 3 | 0 | 3 | 4.5 |
20CS2009 | Computer Organization and Architecture | 3 | 0 | 0 | 3 |
20MS2004 | Entrepreneurship and Product Development | 3 | 0 | 0 | 3 |
Total | 22 | ||||
Semester-4 | |||||
20MA2005 | Discrete Structures | 3 | 1 | 0 | 4 |
20CS2018 | Design and Analysis of Algorithms | 3 | 0 | 3 | 4.5 |
20CS2036 | Operating Systems | 3 | 0 | 3 | 4.5 |
20CS2007 | Computer Communication Networks | 3 | 0 | 3 | 4.5 |
20MS2007 | Business Plan | 3 | 0 | 0 | 3 |
MP2921/ SIP2921 | Mini Project / Summer Internship - I | 0 | 0 | 2 | 1 |
20MS2005 | Soft Skills | 1 | 0 | 0 | 1 |
Total | 22.5 | ||||
Semester-5 | |||||
20CS2016 | Database Management Systems | 3 | 0 | 3 | 4.5 |
21CS2009 | Pattern Matching and Anomaly Detection | 3 | 0 | 0 | 3 |
20CS2031 | Introduction to Data Science | 3 | 0 | 3 | 4.5 |
20CS2057 | Web Technology | 3 | 0 | 3 | 4.5 |
20CS2055 | Theory of Computation | 3 | 0 | 0 | 3 |
| Professional Elective-1 | 3 | 0 | 0 | 3 |
Total | 22.5 | ||||
Semester-6 | |||||
20CS2044 | Reinforcement Learning | 3 | 0 | 0 | 3 |
20CS2010 | Cryptography and Network Security | 3 | 0 | 2 | 4 |
20CS2032 | Machine Learning Techniques | 3 | 0 | 3 | 4.5 |
20CS2050 | Software Engineering | 3 | 0 | 3 | 4.5 |
| Professional Elective-2 | 3 | 0 | 0 | 3 |
| Open Elective - 1 | 3 | 0 | 0 | 3 |
MP2911/ SIP2911 | Mini Project / Summer Internship - II | 0 | 0 | 4 | 2 |
Total | 24 | ||||
Semester-7 | |||||
20CS2034 | Neural Networks and Deep Learning | 3 | 0 | 3 | 4.5 |
| Open Elective - 2 | 3 | 0 | 0 | 3 |
| Professional Elective-3 | 3 | 0 | 0 | 3 |
| Professional Elective-4 | 3 | 0 | 0 | 3 |
| Professional Elective-5 | 3 | 0 | 0 | 3 |
| Professional Elective-6 | 3 | 0 | 0 | 3 |
| Professional Elective-7 | 3 | 0 | 0 | 3 |
Total | 22.5 | ||||
Semester-8 | |||||
20CS2999 | Project | 0 | 0 | 18 | 12 |
| Total |
|
|
| 12 |
| Online Course |
|
|
| 5* |
Grand Total | 165 |