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| PEO1 | To understand and analyze the fundamentals of basic sciences and mathematics for solving problems related to computer science. |
| PEO2 | To design and implement solutions for various computing applications. |
| PEO3 | To work effectively as a team towards a common goal. |
| PEO4 | To develop good communication skill, awareness of professional ethics and social issues to enable them to contribute effectively in their professional career and societal development. |
| PEO5 | To enable continued life-long learning, career enhancement and research. |
| PEO1 | Apply knowledge of science, computing and mathematics to solutions of problems associated to the discipline. |
| PEO2 | Design software solutions using the knowledge of computer programming, data structures and algorithms. |
| PEO3 | Analyze various computer functional units and design interface among them. |
| PEO4 | Design a basic secure computer network using different networking technologies and security techniques. |
| PEO5 | Organize and manage data for efficient storage and access using various database storage and management systems. |
| PEO6 | Develop various components of system software based on the theoretical foundations of computer science. |
| PEO7 | Communicate and work effectively as a team on engineering topics with a range of engineering community in particular and society in general. |
| PEO8 | Ability to engage in continuing professional development and life-long learning. |
| PEO9 | Use computer engineering solutions for society and environment, with understanding and practice of professional ethics. |
| PEO10 | Apply management principles in multidisciplinary projects. |
This report presents the proposed curriculum of a PG program `Master of Technology in Artificial Intelligence’ to be run by the department of Computer Science and Engineering. The proposed intake strength of the program is 18 students per year.
Curriculum
The program Master of Technology in Artificial Intelligence is designed to generate a new breed of engineers who have the skill to learn from the humongous amount of data that is already available and also being generated on a daily basis. Moreover, they will also learn the skill to generate data by sensing the environment and make use of the data to intelligently respond accordingly. In a nutshell, this program is aimed at building intelligent systems mimicking the ways humans learn.
Course Structure:
| Year I | ||||||||||
| Semester I | ||||||||||
| L | T | P | C | |||||||
| AI7101 | Fundamentals of Statistical Inference | 3 | 1 | 0 | 4 | |||||
| AI7102 | Introduction to Data Structures and Algorithms | 3 | 0 | 2 | 4 | |||||
| AI7103 | Research Methodology for Engineers | 3 | 1 | 0 | 4 | |||||
| AI7104 | Introduction to Machine Learning | 3 | 0 | 2 | 4 | |||||
| AI73** | Elective I | 3/3 | 1/0 | 0/2 | 4 | |||||
| 20 | ||||||||||
Elective I (any one of the following courses):
| Year I | ||||||
| Semester II | ||||||
| L | T | P | C | |||
| AI7201 | Deep Learning | 3 | 0 | 2 | 4 | |
| AI7202 | Natural Language Processing | 3 | 0 | 2 | 4 | |
| AI7203 | Digital Image Processing | 3 | 0 | 2 | 4 | |
| AI74** | Elective II | 3/3 | 1/0 | 0/2 | 4 | |
| AI75** | Elective III | 3/3 | 1/0 | 0/2 | 4 | |
| 20 | ||||||
Elective II {any one of the following courses}:
1. AI7401 Introduction to Generative AI
2. AI7402 Time Series Analysis and Forecasting
Elective III {any one of the following courses}:
1. AI7501 Text Analytics
2. AI7502 Nature-Inspired Computing
3. AI7503 Graph Representation Learning
| Year 2 | ||||||
| Semester I | ||||||
| L | T | P | C | |||
| AI8197 | Project Seminar I | 0 | 0 | 4 | 2 | |
| AI8198 | Project Viva Voce I | 0 | 0 | 4 | 2 | |
| AI8199 | Project Part Report | 0 | 0 | 8 | 4 | |
| 8 | ||||||
| Year 2 | ||||||
| Semester II | ||||||
| L | T | P | C | |||
| AI8197 | Project Seminar II | 0 | 0 | 8 | 4 | |
| AI8198 | Project Viva Voce II | 0 | 0 | 8 | 4 | |
| AI8199 | Project Thesis | 0 | 0 | 16 | 8 | |
| 16 | ||||||
