Department of
Artificial Intelligence & Machine Learning
The department is witnessing a period of exciting growth and opportunity propelled by the growth of technology and its recognition through excellence.
About
The Department of AIML Engineering was established in the year 2023 with an intake of 60 students for Undergraduate program. The department has well-equipped, Laboratories qualified and experienced faculty members and excellent infrastructure. The Department has good academic curriculum. It is one of the most popular courses among engineering students. Our AIML Department is at the forefront of technological innovation, dedicated to shaping future leaders in the field.
The syllabus is precise by Visvesvaraya Technological University includes the following areas of learning:
Core Areas of Learning:
Mathematics–3 (Computer Science), random variables, probability distributions, Statistical Inference 1, Statistical Inference 2, Design of Experiments & ANOVA
- Digital Design and Computer Organization, Introduction to Digital Design, Combinational Logic, Basic Structure of Computers, Input/output Organization, Basic Processing
- OPERATING SYSTEMS: Introduction to operating systems, System structures, Process Management, Process Synchronization, Memory Management, File System, Implementation of File
- Data Structures Applications Using ‘C’, Introduction To Data Structures, Stacks, Queues, Linked Lists, Trees, Hashing.
- Python Programming for Data Science , Introduction to python, Decision structure, Lists,The NumPy Library, The pandas Library, The pandas : Reading and Writing
- Data Analytics with Excel, To Apply analysis techniques to datasets in Excel , Learn how to use Pivot Tables and Pivot Charts to streamline your workflow in Excel , Understand and Identify the principles of data analysis, Become adept at using Excel functions and ,Techniques for analysis , Build presentation ready dashboards in
Other optional courses :
Personality and Soft Skills Development
Methods of Teaching/Departmental Initiatives:
Lecture Mode
- Power Point Presentations
- Assignments – Internal assessment Papers
- Seminars
- Organized Hackthon -EPICTHON
- Conducts value added course
STUDENT ENROLLMENT (2023-2024) as on November 15
| S.N | Class | Male | Female | Total |
| 1 | III-Semester | 16 | 05 | 21 |
| TOTAL | 21 | |||
Mission
To develop state of the art academic and infrastructural facilities with modern equipment and e-Learning resources to produce self-sustainable professional in the
field of Artificial Intelligence & Machine Learning. To develop professionals who are skilled in the area of Artificial Intelligence and
Data Science.
Vision
To develop skilled professional in the field of Artificial Intelligence & Machine Learning contributing globally to the benefit of industry and society.
Program Educational Objectives (PEOs)
- Develop and excel in their chosen profession on technical front and progress towards advanced continuing education or inter-disciplinary research and
Enterpreneurship. - Become a reputed innovative solution provider to complex system problems or towards research or challenges relevant to Artificial Intelligence and Machine Learning.
- Progress as skilled team members achieving leadership qualities with trust and professional ethics, proactive citizens for progress and overall welfare of the society.
- Excel as socially responsible engineers or entrepreneurs with high moral and ethical standards.
Lab Details (AIML)
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Program Outcomes
Apply the knowledge of mathematics, science, engineering fundamentals, and computer science and business systems to the solution of complex
engineering and societal problems.
Identify, formulate, review research literature, and analyze complex engineering and business problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate
consideration for the public health and safety, and the cultural, societal, and environmental considerations.
Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations
Apply reasoning informed by the contextual knowledge to
assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering and business practices.
Understand the impact of the professional engineering
solutions in business societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering and business practices.
Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
Demonstrate knowledge and understanding of the engineering, business and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
