M.Sc.-Cloud Computing

Overview

M.Tech in Computer Science Engineering is a two-year postgraduate program that provides advanced knowledge and skills in the field of computer science. The program is designed to prepare students for a wide range of careers in computer science, including research and development, design and development of computer systems and software, and consulting roles. The curriculum of the program is designed to provide students with a comprehensive understanding of computer science principles and practices. The coursework covers a range of topics such as advanced algorithms, data structures, computer networks, database systems, artificial intelligence, computer vision, machine learning, and natural language processing. The program also emphasizes practical skills development through laboratory work and industry internships. The university has state-of-the-art facilities for computer science students, including well-equipped laboratories, computer facilities, and a well-stocked library. The university also provides access to the latest software and equipment used in the computer science industry.

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
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
PO6
Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to professional engineering practice.
PO7
Understand the impact of professional engineering solutions in societal and environmental contexts and demonstrate knowledge of and need for sustainable development.
PO8
Apply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice.
PO9
Function effectively as an individual, and as a member or leader in diverse teams and in multi-disciplinary settings.
PO10
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.
PO11
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.
PO12
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.

SYLLABUS

Semester - 1

Sl.No.	Subject	L Credit	p Credit	Total Credits
1	Database System	4	0	4
2	Data Structures and Algorithms	4	0	4
3	Operating system and Computer Organization	4	0	4
4	Cloud Computing	4	0	4
5	Database System Laboratory	0	6	3
6	Data Structures and Algorithms Laboratory	0	6	3
Total		16	12	22

Semester - 2

Sl.No.	Subject	L Credit	p Credit	T Credit	Total Credits
1	Probability and Statistics	4	0	0	4
2	Computer Networks	4	0		4
3	Object-Oriented Programming using Java	4	0	0	4
4	Cloud Architecture Design	4	0	0	4
5	Object-Oriented Programming using Java Laboratory	0	0	0	3
6	Cloud Architecture Design Laboratory	0	6	0	3
7	Skill Development Elective	0	6	0	3
Total		16	12	0	25

Semester - 3

Sl.No.	Subject	L Credit	p Credit	Total Credits
1	AWS Cloud Practitioner	3	0	4
2	Cluster and Grid Computing	3	0	4
3	Elective-Theory/Laboratory	4	0	4
4	Elective-Theory/Laboratory	3	0	3
5	Skill Development Elective	3	0	3
6	Project-I	0	0	3
Total		16	12	21

Semester - 4

Sl.No.	Subject	p Credit	Total Credits
1	Self-study	0	Audit
2	Self-study	0	Audit
3	Project-II	36	12
Total		36	12

Laboratories

Eligibility Criteria

M.Tech

a. Passed bachelordegreeorequivalentintherelevantfield with atleas t60% marksinaggregate.

b. GATE qualified candidates need not sit in the entrance examination. They have to submit their documents through the admission portal for direct admission during counseling process.

c. Passed M.Sc. Degree in the relevant discipline with at least 60% marks in aggregate.