Dept. of CSE

Program Educational Objectives (PEOs)

PEO 1: Pursue a successful professional career in IT and IT-enabled industries.

PEO 2: Pursue lifelong learning in generating innovative engineering solutions using research and complex problem-solving skills.

PEO 3: Demonstrate professionalism, ethics, inter-personal skills and continuous learning to develop leadership qualities.

Program Specific Outcomes (PSOs)

PSO 1: DataScienc for Life: Ability to represent the knowledge and predicate logic and then transform the real-life information into a different representation.

PSO 2: AI Application Development: Design and Develop Deep Learning Models on the Cloud System using Cloud Services like Amazon Web Services, Microsoft Azure, Hadoop System, etc., to work on AI & ML for providing solutions to Geo-Socio-Economic problems.

Program Outcomes (POs)

Program Outcomes (POs), are attributes acquired by the student at the time of graduation. The POs given in below, ensure that the POs are aligned to the Graduate Attributes (GAs) specified by National Board of Accreditation (NBA). These attributes are measured at the time of Graduation.

PO 1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO 2: 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.

PO 3: 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.

PO 4: 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.

PO 5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modelling to complex engineering activities with an understanding of the limitations.

PO 6: 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.

PO 7: 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.

PO 8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO 9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO 10: 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.

PO 11: 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.

PO 12: 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.

B.Tech. CSE - Artificial Intelligence (AI) & Machine learning (ML)

VFSTR has introduced a four-year B.Tech.CSE - Artificial Intelligence (AI) & Machinelearning (ML) from the academic year2020-21. AI & ML is a well-establishedspecialization of computer scienceconcerned with methods to designcomputers or machines as intelligent.

AIML provides applications that have an ability to learn through the experience without being explicitly Programd. ML enables applications to recognize patterns in the data in the same way as human brains do. It has become an integral part of our day to day lives and few of the widely used applications are Traffic Alerts, Social Media (Facebook, Twitter), Product Recommendations (Amazon, FlipKart), Virtual Personal Assistants (Siri, Google Assist), Directions in Google maps, Self-Driving Cars, Online Video Streaming (NetFlix). As per the recent reports, AI/ ML Engineer is the best job of 2019 due to the growing skill demand that attracts high salaries. AI/ ML professionals are getting an annual hike of 20-30% when compared to other skill areas. Starting such a program is a step towards fulfilling the high skill demand for AI/ ML professionals across the globe.

Career Opportunities
B.Tech. CSE - AIML prepares students for the below job roles.

Data Analyst

ML/AI Engineer

Machine Learning Architect

Data Scientist

Data Engineer

Business Intelligence Engineer

Research Scientist

Software Engineer/ Developer

I Year (R19 Regulation)		I Semester
Code	Subject	L	T	P	C
19HS103	Engineering Mathematics 1(C) Linear Algebra & Ordinary Differential Equations	3	-	2	4
19HS113	Engineering Physics 1(A)	3	-	2	4
19EE101	Basics of Electrical & Electronics Engineering	3	-	2	4
19ME104	Engineering Graphics & Design	1	-	2	2
19CS103	Programming for Problem Solving - I	3	-	4	5
19CS104	Basics of Computer & Internet	1	-	2	2
19PC001	Physical fitness, Sports & Games-1	-	-	3	1
Total		14	-	17	22

                  

I Year (R19 Regulation)		II Semester
Code	Subject	L	T	P	C
19HS103	Engineering Mathematics 2(C) Calculus & Numerical Methods	3	-	2	4
19CS106	Discrete Mathematical Structures	3	-	-	3
19HS117	Engineering Chemistry	2	-	-	2
19CS105	Programming for Problem Solving-II	3	-	4	5
19HS122	English Proficiency and communication skills	-	-	2	1
19HS124	Constitution of India	1	-	-	1
19ME103	Workshop	1	-	2	2
19HS123	Technical English Communication	2	-	2	3
19PC002	Physical fitness, Sports & Games-2	-	-	3	1
Total		15	-	15	22

                  

II Year (R16 Regulation)		III Semester
Code	Subject	L	T	P	C
16HS202	Probability and Statistics	4	-	-	4
16MS201	Management Science	3	-	-	3
16CS201	Database Management Systems	3	1	2	5
16CS202	Data Structures	3	-	2	4
16CS203	Digital Logic Design	3	1	-	4
16CS204	Discrete Mathematical Structures	3	-	-	3
16EL102	Soft Skills Laboratory	-	-	2	1
	Employability and Life SkillsElective	-	-	-	1-3
Total		19	2	6	25-27

                  

II Year (R16 Regulation)		IV Semester
Code	Subject	L	T	P	C
16CS205	Computer Organization and Architecture	3	1	-	4
16CS206	Design and Analysis of Algorithms	3	-	2	4
16CS207	Formal Languages and Automata Theory	3	1	-	4
16CS208	Object Oriented Programming using JAVA	3	-	2	4
	Department Elective	-	-	-	3
	Department / Open Elective	-	-	-	3-4
	Employability and Life Skills Elective	-	-	-	1-3
Total		12	2	4	23-26

                  

III Year (R16 Regulation)		V Semester
Code	Subject	L	T	P	C
16HS301	Professional Ethics	2	-	-	2
16CS301	Software Engineering	3	-	2	4
16CS302	Web Technologies	3	1	2	5
16CS303	Compiler Design	3	-	-	3
16CS304	Operating Systems	3	-	2	4
	Department Elective	-	-	-	3-4
	Department / Open Elective	-	-	-	3-4
	Employability and Life Skills Elective	-	-	-	1-3
Total		14	1	6	25-29

                  

III Year (R16 Regulation)		VI Semester
Code	Subject	L	T	P	C
16CS305	Data Mining Techniques	3	-	2	4
16CS306	Computer Networks	3	-	2	4
16CS307	Microprocessors and Interfacing	3	-	-	3
16CS308	Operations Research for Computer Science Engineers	3	1	-	4
	Department Elective	-	-	-	3-4
	Department / Open Elective	-	-	-	3-4
	Employability and Life Skills Elective	-	-	-	1-3
Total		12	1	4	22-26

                  

IV Year (R16 Regulation)		VII Semester
Code	Subject	L	T	P	C
16CS401	Search Engines	3	-	-	3
16CS402	Embedded Systems	3	-	2	4
16CS403	Information Security	3	-	2	4
16CS404	Mobile Communications	3	-	2	4
	Department Elective	-	-	-	3-4
	Department / Open Elective	-	-	-	3-4
	Employability and Life Skills Elective	-	-	-	1-3
Total		12	-	6	22-26

                  

IV Year (R16 Regulation)		VIII Semester
Code	Subject	L	T	P	C
16CS411 / 16CS412	Project Work / Internship	-	-	30	15
Total		-	-	30	15

                  

L=Lecture;    T=Tutorial;    P=Practicals;    To=Total; C=Credits;

Program Name	B.Tech CSE - Artificial Intelligence and Machine Learning
Level	Under Graduation
Program Specific Enquiries	0863-2344731
Admission Enrollment and General Enquiries	0863-2344777, 1800-425-2529
HoD Contact Number	9840850744