An honour is the field in which a student focuses during the course of his/her degree. An Honours degree typically refers to a higher level of academic achievement in the major area. Minor is a secondary concentration of courses that often complements the honours. Minor are coherent sequences of courses which may be taken in addition to the courses required for the B.Tech degree.
Honours Certificate for Vertical in his/her OWN major for Research orientation; Minor in any OTHER branch for Improving Employability.
Only students having no credit arrears and a CGPA of 7.5 or above at the end of the fourth semester are eligible to register for B.Tech (Honours / Minor). After registering for the B.Tech (Honours / Minor) program, if a student fails in any course, s/he will not be eligible for B.Tech (Honours / Minor).
| S.No | Course Code | Name of the Courses | Prerequisites | Credits |
|---|---|---|---|---|
| Eligibility: Major in Information Technology | ||||
| 1 | HIT001 | Privacy and Security in Online Social Media (PSOSM) | Basic Intermediate Programming Course. Understanding of Python will be Mandatory. | 3 |
| 2 | HIT002 | Artificial Intelligence Search Methods for Problem Solving | Nil | 3 |
| 3 | HIT003 | Deep Learning for Computer Vision | Knowledge of basics in probability, linear algebra, and calculus. Experience of programming, preferably in Python | 3 |
| 4 | HIT004 | Reinforcement Learning | Nil | 3 |
| 5 | HIT005 | Social Networks | Nil | 3 |
| 6 | HIT006 | Introduction to Industry 4.0 and Industrial Internet of Things | Basic knowledge of computer and internet | 3 |
| Laboratories | ||||
| 7 | HIT007 | International Collegiate Programming Contest (ICPC) Laboratory - I | Basic Programming Knowledge | 2 |
| 8 | HIT008 | International Collegiate Programming Contest (ICPC) Laboratory - II | Basic Programming Knowledge | 2 |
| 9 | HAE009 | Research Project Work | 4 | |
The minor has to be a subject offered by a department other than the department that offers the major of the student or it can be a different major offered by the same department. For example, a student with the declared major in Computer Science and Engineering (CSE) may opt to do a minor in Physics; in which case, the student shall receive the degree B.Tech, Computer Science and Engineering with a minor in Physics.A student can do Majors in chosen filed as per the career goal, and a minor may be chosen to enhance the major thus adding the diversity, breadth and enhanced skills in the field.
The minors mentioned above are having lots of advantages and a few are listed below:
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| S.No | Course Code | Name of the Courses | Prerequisites | Credits |
|---|---|---|---|---|
| Eligibility: Major in Computer Science and Engineering and Major in Information Technology | ||||
| 1 | MDS001 | Tools for Data Science | Nil | 3 |
| 2 | MDS002 | Python for Data Science and AI | Programming | 3 |
| 3 | MDS003 | Data Analysis with Python | Basic Python | 3 |
| 4 | MDS004 | Databases and SQL for Data Science | Databases | 3 |
| 5 | MDS005 | Data Visualization with Python | Python | 3 |
| 6 | MDS006 | Machine Learning with Python | Python | 3 |
| 7 | MDS007 | Mini Project | - | 3 |
| 8 | MDS008 | Paper Publication | - | 2 |
| S.No | Course Code | Name of the Courses | Prerequisites | Credits |
|---|---|---|---|---|
| Eligibility: Major in Information Technology | ||||
| 1 | MSE001 | Enterprise Architecture Foundations | Nil | 3 |
| 2 | MSE002 | Software Design: From Requirements to Release | Nil | 3 |
| 3 | MSE003 | Programming Foundations: Software Testing/QA | Nil | 3 |
| 4 | MSE004 | Insights on Software Quality Engineering | Nil | 3 |
| 5 | MSE005 | Learning Regular Expressions | Nil | 3 |
| 6 | MSE006 | DevOps Foundations | Nil | 3 |
| 7 | MSE007 | Mini Project | - | 3 |
| 8 | MSE008 | Paper Publication | - | 2 |
| S.No | Course Code | Name of the Courses | Prerequisites | Credits |
|---|---|---|---|---|
| Eligibility: Non CSE Major, Major in Information Technology | ||||
| 1 | MCE001 | Discrete Mathematics | Arithmetic and Algebra | 3 |
| 2 | MCE002 | Design and Analysis of Algorithms | Programming and Data structures | 3 |
| 3 | MCE003 | Computer Architecture and Organization | Programming Language | 3 |
| 4 | MCE004 | Introduction to Database Systems | Discrete Mathematics and Data Structures | 3 |
| 5 | MCE005 | Operating System | Nil | 3 |
| 6 | MCE006 | Computer Networks and Internet Protocol | Nil | 3 |
| 7 | MCE007 | Mini Project | - | 3 |
| 8 | MCE008 | Paper Publication | - | 2 |
| S.No | Course Code | Name of the Courses | Prerequisites | Credits |
|---|---|---|---|---|
| Eligibility: Non CSE Major, Major in Information Technology | ||||
| 1 | MCS001 | Discrete Mathematics | Arithmetic and Algebra | 3 |
| 2 | MCS002 | Fundamentals of Artificial Intelligence | Basic Course in Probability and Linear Algebra | 3 |
| 3 | MCS003 | Introduction to Machine Learning | Probability Theory and Linear Algebra | 3 |
| 4 | MCS004 | Introduction to Cyber Security | Nil | 3 |
| 5 | MCS005 | Introduction to Internet Of Things | Programming Language like C or C++ | 3 |
| 6 | MCS006 | Data Mining | Fundamentals of Database Systems, Mathematics | 3 |
| 7 | MCS007 | Mini Project | - | 3 |
| 8 | MCS008 | Paper Publication | - | 2 |
| S.No | Course Code | Name of the Courses | Prerequisites | Credits |
|---|---|---|---|---|
| Eligibility: Major in Information Technology | ||||
| 1 | MAI001 | Essential Mathematics for Machine Learning | Nil | 3 |
| 2 | MAI002 | Artificial Intelligence Search Methods for Problem Solving | Data structures and Programming | 3 |
| 3 | MAI003 | Practical Machine Learning with Tensorflow | Programming, Data Mining or Machine Learning | 3 |
| 4 | MAI004 | Deep Learning | Linear Algebra | 3 |
| 5 | MAI005 | Reinforcement Learning | Machine learning | 3 |
| 6 | MAI006 | Deep Learning for Computer Vision | Machine Learning | 3 |
| 7 | MAI007 | Mini Project | - | 3 |
| 8 | MAI008 | Paper Publication | - | 2 |
| S.No | Course Code | Name of the Courses | Prerequisites | Credits |
|---|---|---|---|---|
| Eligibility: All Branches | ||||
| 1 | MIE001 | Patent Law for Engineers and Scientists | - | 3 |
| 2 | MIE002 | Design Thinking and Creativity for Innovation | - | 3 |
| 3 | MIE003 | Design, Technology and Innovation | - | 3 |
| 4 | MIE004 | Entrepreneurship for Engineers | - | 3 |
| 5 | MIE005 | Innovation by Design | - | 3 |
| 6 | MIE006 | Innovation, Business Models and Entrepreneurship | - | 3 |
| 7 | MIE007 | Mini Project | - | 3 |
| 8 | MIE008 | Paper Publication | - | 2 |
To apply the inter-disciplinary knowledge gained through a Major (Stream) + Minor.
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