OVERVIEW:
SMS Lucknow offers a four-year undergraduate B.Tech CSE
program in Artificial Intelligence & Machine Learning which aims to develop
a strong foundation by using the principles and technologies that consist of
many facets of Artificial Intelligence including logic, knowledge
representation, probabilistic models, and machine learning. This course is best
suited for students seeking to build world- class expertise in Machine Learning
and emerging technologies that help to stand in the crowd and grow careers in
the upcoming technological era. The main goal of machine learning (ML) is to
program computers to use example data or experience to solve a given problem.
Many successful applications based on machine learning exist already, including
systems that analyze past sales data to predict customer behavior (Financial
management), recognize faces or spoken speech, optimize robot behavior so that
a task can be completed using minimum resources, and extract knowledge from
bioinformatics data. The program is designed to give the students enough
exposure to the variety of applications that can be built using techniques
covered under this program.
Levels of
Awards/Exit Points
|
Award |
Duration |
|
B.Tech.
Computer Science and Engineering (Artificial Intelligence & Machine
Learning) |
4 Year |
PROGRAM
OUTCOMES
Engineering Graduates will be able to:
1)
PO1:
Engineering knowledge: Apply the knowledge of mathematics,
science, engineering fundamentals, and an engineering specialization to the
solution of complex engineering problems.
2) PO2:
Problem analysis: Identify, formulate, review research
literature, and analyze complex engineering problems reaching substantiated
conclusions using first principles of mathematics, natural sciences, and
engineering sciences.
3) PO3:
Design/development of solutions: 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.
4) PO4:
Conduct investigations of complex problems: 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.
5) PO5:
Modern tool usage: 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.
6) PO6:
The engineer and society: 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 practice.
7) PO7:
Environment and sustainability: Understand the
impact of the professional engineering solutions in societal and environmental
contexts, and demonstrate the knowledge of, and need for sustainable
development.
8) PO8:
Ethics: Apply ethical principles and commit to
professional ethics and responsibilities and norms of the engineering practice.
9) PO9:
Individual and team work: Function effectively as an individual,
and as a member or leader in diverse teams, and in multidisciplinary settings.
10) PO10:
Communication: 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.
11) PO11:
Project management and finance: Demonstrate
knowledge and understanding of
the engineering 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.
12) PO12:
Life-long learning: 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.
PROGRAM
SPECIFIC OUTCOMES
PSO 1: Ability
to learn and adapt quickly in the rapidly changing and ever evolving field of
computer science.
PSO 2: Exhibit
attitude for continuous learning and deliver efficient solutions for emerging
challenges in the computation domain.
LABORATORY
For the practical exposure of students following LABS are the
important parts of their course curriculum:
1. LAB
on Data Structure Using C
2. LAB
on Discrete Structure and Logic
3. LAB
on Computer Organization & Architecture
4. LAB
on Operating System
5. LAB
on Python
6. LAB
on Microprocessor
7. Lab
on Machine Learning
8. Lab
on Artificial Intelligence
VALUE ADDED
COURSE:
·
The department provides certification for CCNA through
SMS CISCO Networking Academy.
·
Students get to know about cloud services using
Microsoft’s Azure DevOps.
·
Runs Employability Enhancement Program (EEP) for all
around personality and soft-skill development
·
Hands on training on advance courses like PHP, Python,
Machine Learning, Android, Ethical Hacking and IOT etc.
·
Continuous National and International guest lectures
from academia and corporate world.
·
Voluntary participation of students in regular
PowerPoint presentations on current topics.
·
Mock interviews, seminars, webinars, and workshops on
various topics.
·
Special focus on innovation and research through major
and minor industrial projects.
PROJECTS ON :
· HTML & JAVA SCRIPT
· ASP.NET
· Android & Advanced Java
· Summer Internship Project
· Python
· Machine Learning and Artificial Intelligence
· Internet of Things
· Minor Project
· Major Project
OTHER ACTIVITIES:
· Workshops
· Guest Lectures
· Industrial Visit.
· Seminars
· Live Projects
Course Outcome:
B.Tech CSE(AI&ML) Course Outcome
Syllabus:
B.Tech CSE(AI&ML) 1st Year B.Tech CSE(AI&ML) 2nd Year
Contact:
|
Name |
Contact No. |
Email ID |
|
Mr. Sunit Kumar Mishra |
8948313175 |
sunitkumarmishra@smslucknow.ac.in |
