B.Tech. - (Artificial Intelligence & Machine Learning)

Overview

The Department of Computer Science & Engineering was established in 1997 with a vision to produce able, skilled, competent, thoughtful, and creative Computer scientists. The prime objective behind this was to enable them to meet all sorts of challenges in the corporate world. With a confident and steady footing in technical education, it has shown tremendous growth in the last two decades to establish itself as the strongest department of the University. Consequently, in 2019, the department has been successfully accredited to the Tier-1 category by NBA. To date, it has produced more than 3500 computer science engineering graduates who are spread across the globe holding the department’s banner proudly and flying high with dignity and confidence.
With a blended group of an experienced, young, and energetic team of competent, qualified, and committed faculty members and support staff under a dynamic leadership, the department has shown excellence in both teaching & research and intent to continue the same in future. The diversity of expertise can be seen among the faculty members starting from Wireless sensor networks, Machine learning/Deep Learning, Cloud/Fog computing, Cyber Security, Natural Language Processing and many more. As a result, doctoral research scholars and faculties continuously publish quality research articles in top-notch indexed journals.
One of the department’s core strengths is the industry-aligned curriculum which mainly focuses on future technologies like Machine learning, Data science, Big data, Cyber Security, Cloud Computing etc. Apart from normal academics, the department offers skill development courses by industry persons in various emerging future skills and encourages students to get global certification that will help them be parring both nationally and globally, providing them with an edge. The department is associated with prestigious industry partners such as NASSCOM, IBM, MARCRAFT, AWS and Google, who are associated in various ways ranging from curriculum design to academy partner. As a result, the department continues to bag the highest placements records consistently over the years. No wonder some students can even place themselves in FAANG companies as freshers.

PROGRAM EDUCATIONAL OBJECTIVES (PEO’S)

PEO1
To provide the fundamental knowledge in mathematics, science and engineering concepts for the development of engineering system (Fundamental Knowledge).
PEO2
To apply current industry accepted computing practices and emerging technologies to analyze, design, implement, test and verify high quality computing systems and computer based solutions to real world problems (Design and development).
PEO3
To enable the use of appropriate skill sets and its applications towards social impacts of computing technologies in the career related activities (Skill Set) and to produce Efficient team leaders, effective communicators and capable of working in multi-disciplinary environment following ethical values(Team Leader ).
PEO4
To practice professionally and ethically in various positions of industry or government and/or succeed in graduate (Professionalism) and to make substantial contributions to the society (Societal Contribution).

PROGRAM OUTCOMES (PO’S)

PO1
Apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex engineering problems.
PO2
Identify, formulate, research literature and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.
PO3
Design solutions for complex engineering problems and design system components or processes that meet specified needs with appropriate consideration for public health and safety, cultural, societal and environmental considerations.
PO4
Conduct investigations of complex problems using research-based knowledge and research methods including design of experiments, analysis and interpretation of data and synthesis of information to provide valid conclusions.
PO5
Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.
PO6
Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.
PO7
Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
PO8
Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.
PO9
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.
PO10
Demonstrate knowledge and understanding of 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.
PO11
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.
PO12
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

SYLLABUS

Semester - 1

Sl.No.	Subject	Category	L Credit	p Credit	Total Credits
1	Induction Program (3 weeks at the beginning of the Semester)	MC	0	0	0
2	Mathematics 1	BS	3	0	3
3	Physics/ (Chemistry / Python programming with Lab for CSE&AP)	BS/ES	3	2	5
4	Introduction to Mechanical Engineering / Introduction to Electrical and Electronics Engineering	ES	3	2	5
5	Programming for problem Solving/Engineering Graphics	ES	2	2	4
6	Design Thinking and Problem Solving	UGE	1	1	2
7	Professional Communication	HSM	2	1	3
Total			14	8	22

Semester - 2

Sl.No.	Subject	Category	L Credit	p Credit	T Credit	Total Credits
1	Mathematics 2	BS	3	0	0	3
2	Physics/ (Chemistry / Python programming with Lab for CSE&AP)	BS	3	2		5
3	Introduction to Electrical and Electronics Engineering/ Introduction to Mechanical Engineering	ES	3	2	0	5
4	Programming for problem Solving/Engineering Graphics	ES	2	2	0	4
5	Design Thinking and Entrepreneurship	UGE	1	1	0	2
6	English for Science, Engineering & Technology	HSM	2	1	0	3
7	Engineering Economics & Costing	HSM	2	0	0	2
Total			16	8	0	24

Semester - 3

Sl.No.	Subject	Category	L Credit	p Credit	Total Credits
1	Programming using C++	PC	2	0	2
2	Data Structures	PC	3	2	5
3	Data Communication & Computer Network	PC	3	2	5
4	Switching Circuit & Logic Design	ES	3	0	3
5	Mathematics-3 (Programme Specific)	BS	3	0	3
6	Living Biology and Environmental Science /Emerging Material and it’s applications.	BS	2	0	2
7	Skill Development Elective-1	SDE	0	2	2
8	CDT	MC	0	0
Total			16	6	22

Semester - 4

Sl.No.	Subject	Category	L Credit	p Credit	Total Credits
1	Database Engineering	PC	3	2	5
2	Design & Analysis of algorithm	PC	3	2	5
3	Computer Organization	PC	3	0	3
4	Object Oriented Programmingusing Java	PC	3	2	5
5	Living Biology and Environmental Science /Emerging Material and it’s applications.	BS	2	0	2
6	Skill Development Elective-2	SDE	0	2	2
7	Career Development Training	MC	0	0	0
Total			14	8	22

Semester - 5

Sl.No.	Subject	Category	L Credit	p Credit	Total Credits
1	Software Engineering & Agile Methodology	PC	3	0	3
2	Machine Learning	PC	3	2	5
3	Operating System	PC	3	2	5
4	Design of Web Applications	PE	3	2	5
5	University General Elective-5	UGE	1	0	1
6	Skill Development Elective-3	SDE	0	2	2
7	CDT	MC	0	0	0
Total			13	8	21

Semester - 6

Sl.No.	Subject	Category	L Credit	p Credit	Total Credits
1	Cloud Computing & Virtualization	PC	3	2	5
2	Web Technology & Application Security/ / Advanced Machine Learning/ Embedded System	PE	3	2	5
3	Blockchain/ Distributed System/ Information Retrieval	PE	3	0	3
4	Open Elective-1	OE	3	0	3
5	University General Elective-6	UGE	1	0	1
6	Skill Development Elective-4	SDE	0	2	2
7	Presentation on Science and Technology Advancement- Assessment & Review (STAAR)	ES	0	1	1
8	CDT	MC	0	0	0
Total			13	7	20

Semester - 7

Sl.No.	Subject	Category	L Credit	p Credit	Total Credits
1	Software Testing/ Computational Intelligence/ internet of Things	PE	3	2	5
2	Open Elective-2	OE	3	0	3
3	Open Elective-3	OE	3	0	3
4	Industrial Training(SummerVacation between2nd and 3rd or 4thand 5th Sem, or6th and7th Semester)	PC	0	1	1
5	Major Project-I	MP	0	3	3
Total			9	6	15

Semester - 8

Sl.No.	Subject	Category	p Credit	Total Credits
1	Project linked research Paper	PC (Self-Study)	2	2
2	Major Project-II	MP	12	12
Total			14	14

Laboratories

Programming Laboratory

Operating System Lab

Database Laboratory

Network Laboratory

Multimedia Laboratory

Research Laboratory

HPC Lab

Google Lab

Optimization Engineering Lab

Computer Organization Laboratory

Scada Laboratory

Software Testing Lab

IWT Lab

IOT Lab

ELIGIBILITY CRITERIA

B.TECH

B.TECH
(4Years)

Passed 10+2 examination (intermediate) with 60% marks along with Physics and Mathematics as compulsory subjects.

LE B.TECH (3Years)

a. Passed Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) in any branch of Engineering and Technology.

b. Passed B.Sc. Degree from a recognized University as defined by the UGC, with at least 45% marks (40% marks in case of candidates belonging to reserved category) and passed 10+2 examination with Mathematics as a subject. However, the students belonging to B.Sc. stream, seeking admission in mechanical engineering, shall be required to clear the subjects in Engineering Graphics /Engineering Drawing and Engineering Mechanics of the First Year Engineering Program along with the Second year subjects. The students belonging to B.Sc. Stream shall be considered for admission only after filling the supernumerary seats in this category with regular students belonging to the Diploma stream.

c. Passed D.Voc. Stream in the same or allied sector.

d. In the above cases, suitable bridge Courses, if required, such as in Mathematics may be conducted.