Srinivas University::College of Engineering and Technology

About the Course

The B.Tech degree in Computer Science and Engineering at Srinivas University is aimed at nurturing and developing professionals of the high quality to cater to the needs of industry and academia. The credit based curriculum is focused on industry-linking, technology-orientation and research which mirrors the principles of Srinivas University of pursuit of knowledge. Apart from offering common core subjects, extends to its graduates the flexibility to select from a wide range of elective subjects, which enables them to gain domain knowledge and practice-oriented learning in the key aspects of Computer Science and Engineering—as well as latest academic insights into the salient advancements and emerging technologies. Electives thus offered aim at equipping graduates with the skills and expertise required to design and develop computer software that is applied to diverse system based environments; computing solutions for optimizing and enhancing the performance of systems; and computers to solve challenges in areas such as robotics, computer vision, Security, image processing , pattern recognition techniques, machine learning and emerging technologies.

Duration: 4 years, Eight semesters (Admissions open for the batch 2022-23).

Eligibility: Passed in PUC/Higher secondary examination (10+2 pattern) or appearing in the current academic year with Physics, Chemistry and Mathematics as major subjects from any state board within India, CBSE, ICSE, with minimum 45% aggregate for General and 40% aggregate for SC/ST in PCM. Admission needs valid score in SUAT.

Lateral Entry: The candidates, who have successfully completed 3 year diploma in Engineering, are eligible to apply for lateral entry into 2nd year of B.Tech. Courses .Candidates will be admitted to second year of the programme only after appearing the Srinivas University selection process for engineering programme.

Course offered
B.Tech in Computer Science
B.Tech in Artificial Intelligence & Virtual Reality
B.Tech in Cyber Security & Cyber Forensics
B.Tech in Cloud Computing and Mobile Technology
B.Tech in Data Science and Engineering
M.Tech in Artificial Intelligence & Virtual Reality
M.Tech in Computer Science
M.Tech. By Research (Engineering & Technology)
Ph.D.

HOD's Desk

Vision & Mission

Career Opportunity

Computer Science Engineering is one of the most sort of disciplined Engineering. It is the Practical and Scientifically approach to its application. This is the most look creative and Competitive course to Study.
Computer Science Engineering involves Design and of computational process and computer. In computer science engineering, we will go through the Algorithms, Programming languages, Operating Systems, Database Management Systems, Computer Network, Computer Graphics and Artificial Intelligence. Software Products and Solutions are used in all most all the Industries across the World. Major Industries which uses Software are Banking, Insurance, Retail, Power, Exploration, Aeronautics, Defence, Consulting, Online Shopping and Big Data Analytics.
Software Industries are divided into Product Based Industries and Service Based Industries. Product Based industries have their own software as the product or some System Platforms. They normally offer 4-5 LPA. Some Companies like Google, Microsoft and Adobe offer 8 LPA.
These companies have Great working Culture and High Market Value, but they require a good knowledge of Aptitude and understanding in the Programming language. They have very competitive Requirement for selection. Service-Based companies develop their Customer’s System platforms and Customer’s Software. They have Tight Timeline, Competitive Environment and Highly Challenging Jobs. They offer an initial package of 3 LPA, but after 2 plus years of experience, the salary growth is exponential based on the Performance. They require high skills in Programming languages and Communication Skills with Aptitude. These recruiters are HCL, Wipro, TCS, Infosys, etc.

Course Objectives

Goals

The goals of the computer sciences department are to prepare students for graduate training in some specialized area of computer science, to prepare students for jobs in industry, business or government, and to provide support courses for students in engineering, mathematics and other fields requiring computing skills.

Objectives

Upon successful completion of a major in computer science and information sciences, students will be able to:
Demonstrate proficiency in problem-solving techniques using the computer
Demonstrate proficiency in at least two high-level programming languages and two operating systems
Demonstrate proficiency in the analysis of complex problems and the synthesis of solutions to those problems
Demonstrate comprehension of modern software engineering principles
Demonstrate a breadth and depth of knowledge in the discipline of computer science

Special Features of the Programme:

Industry oriented syllabus with special focus on experimental learning.
Placement support and research oriented projects for every student.
Focus on smart skill development & training on competitive exams.
Have an new system of syllabus configuration where student has made to learn 5 theories,1 Practically + Theory, and 2 labs in each semester.
Earn while Learn Opportunity in/Software/hardware/
production/Design/quality maintenance by company delegate’s

Short Range

To form and utilize current guides for powerful educating
To modernize the Laboratories with cutting edge programming, equipment,
Interfacing and systems administration segments to guarantee all-round advancement of understudies through conduction of self-continued preparing programs
To compose and direct transient courses/workshops/FDPs/classes on ongoing patterns in IT at National and International dimensions on standard premise

Long Range

To turn out to be a piece of the Industry and Research associations at National and International dimensions To advance Industry-Institute Interactions through undertakings, consultancy and official improvement programs
To advance innovative work exercises in the boondocks zones of Computer Science and designing To go into comprehension with comprehensively prestigious Universities. To create Centers of Excellence in center regions
Artificial Intelligence and Machine Learning Internet of Things, Digital/Device Mesh, User Experience.
To reinforce Entrepreneurship Development Cell To give essential qualities to empowering the understudies to improve and progress toward becoming business visionaries

Program Educational Objectives:

To prepare students to meet the industry requirements at global level competitiveness.
To develop the students analytical skills to enable them to understand real world problems and formulate solutions.
To impart basic education to students in the areas of Design Engineering, Manufacturing Engineering and Management, and Thermal Sciences that will enable them to take up higher studies in these areas.
To allow students to work in teams through group project works and thus help them achieve interpersonal and communication skills.
To inculcate the habit of lifelong learning, adherence to ethics in profession, concern for environmental, and regard for good professional practices.

Faculty

SI No.	Photo	Name Of Faculty
1		Dr. R Senthil Kumar M.Tech., Ph.D Professor, HOD No. of papers published : 18 No. of Seminar/Short Term Courses attended : 9 Professional Membership: ISTE Research Area: Internet Of Things (IOT) , Code Security Years of Experience: 22 Involved in New Curriculum Designing, Mentoring System, NSS, and Accreditation Process.
2		Dr. Sudhakar Ph.D Professor Years of Experience: 38
3		Dr. Srinivas Rao Kunte Ph.D Professor Years of Experience: 40
4		Dr. Jagadeesha Ph.D Professor Years of Experience: 43
5		Mrs. Shifana Begaum M.Tech, (Ph.D) Assistant Professor Year Of Experience: 9.5 yrs
6		Mrs. Farha Anjum M.Tech, (Ph.D) Assistant Professor Year Of Experience: 5 yrs
7		Ms. Dyanila Neeta Ferrao M.Tech Assistant Professor Year Of Experience: 0 yrs
8		Mr. Akhilraj V Gadagkar M.Tech, (Ph.D) Assistant Professor Year Of Experience: 8 yrs
9		Ms. Renisha PS M.Tech Assistant Professor Year Of Experience: 10 yrs
10		Mr. Yogesh Kumar M.Tech Assistant Professor Year Of Experience: 9 yrs
11		Ms. Divya Shettigar M.Tech, (Ph.D) Assistant Professor Year Of Experience: 5 yrs
12		Mr. Punith Bekal M.Tech, (Ph.D) Assistant Professor Year Of Experience: 8 yrs
13		Ms. Swarna H R B.Tech, (M.Tech) Lecturer Year Of Experience: 3 yrs

Course Structure: B.Tech in Computer Science

SEMESTER 1			SEMESTER 2
S. No.	Subject	Credits/ Marks	S. No	Subject	Credits/ Marks
1	Engineering Physics of Materials (S)	4/100	1	Engineering Chemistry of Materials (S)	4/100
2	Computer Software Concept & Programming (T)	4/100	2	Information Communication & Computation Technology (T)	4/100
3	Elements of Electrical & Electronics (E)	4/100	3	Elements of Mechanical & Civil Engineering (E)	4/100
4	Quantitative Techniques in Engineering I/II (M)	4/100	4	Quantitative Techniques in Engineering I/II (M)	4/100
5	Lab on Engineering Physics of Materials (EL)	2/100	5	Lab on Engineering Chemistry of Materials (EL)	2/100
6	Electrical & Electronics Lab	2/100	6	Computer Aided Engineering Drawing Lab (EL)	2/100
7	Lab on Computer Programming	2/100	7	Lab on Spread sheet Programming	2/100
8	Principles of Environmental Studies (ESEP)	2/50 M	8	Constitution & Professional Ethics (ESEP)	2/50 M
9	Technical English (ESEP-Xlanz)	2/50 M	9	Professional English (ESEP-Xlanz)	2/50 M
10	Kannada/ Co-curricular Activities (ESEP)	–	10	Kannada/ Co-curricular Activities (ESEP)	–
	Total	26/800		Total	26/800

SEMESTER 3			SEMESTER 4
S. No.	Subject	Credits/ Marks	S. No	Subject	Credits/ Marks
1	Numerical Techniques and Integral Transforms	4/100	1	Discrete Mathematical Structures And Graph Theory	4/100
2	Data Structures and its Applications	4/100	2	Design and Analysis of Algorithms	4/100
3	Digital System Design	4/100	3	Object Oriented Concepts	4/100
4	Microprocessor and Embedded Systems	4/100	4	Software Engineering	4/100
5	Logic Design and Analog Circuits Laboratory	2/100	5	Design and Analysis of Algorithm laboratory	2/100
6	Microprocessor Laboratory	2/100	6	Computer Graphics and Visualization Laboratory	2/100
7	Data Structures Laboratory	2/100	7	Java Programming Laboratory	2/100
8	ESEP - Troubleshooting	2/50 M	8	ESEP- Hands-on training on Unix and Shell Programming	2/50 M
9	ESEP-Xlanz	2/50 M	9	ESEP-Xlanz/td>	2/50 M
10	Co-Curricular Activities/Sports	-	10	Co-Curricular Activities/Sports	-
	Total	26/800		Total	26/800

SEMESTER 5			SEMESTER 6
S. No.	Subject	Credits/ Marks	S. No	Subject	Credits/ Marks
1	Data Base Management Systems	4/100	1	System Software and Compiler Design	4/100
2	Computer Networks	4/100	2	Machine Learning	4/100
3	Core-Elective -1	4/100	3	Core-Elective -2	4/100
4	Optional/Soft Elective	4/100	4	Open Elective-1	4/100
5	Data Base Management Systems Laboratory	2/100	5	System Software and Compiler Design Laboratory	2/100
6	Computer Networks Laboratory	2/100	6	Machine Learning Laboratory	2/100
7	Programming the Web Laboratory	2/100	7	Python Programming Laboratory	2/100
8	ESEP – IPR in CS	2/50 M	8	ESEP – Patent Analysis	2/50 M
9	ESEP-Xlanz	2/50 M	9	ESEP-Xlanz	2/50 M
10	Co-Curricular Activities/Sports	-	10	Co-Curricular Activities/Sports	-
	Total	26/800		Total	26/800

SEMESTER 7			SEMESTER 8
S. No.	Subject	Credits/ Marks	S. No	Subject	Credits/ Marks
1	Internet of Things	4/100	1	Technical Seminar	2/100
2	Core Elective –3	4/100	2	Internship	3/100
3	Core Elective – 4:	4/100	3	Project with applied patent	13/200
4	Open Elective – 2:	4/100	4	ESEP-ABC SKILL TRAINER(OPTIONAL)	-
5	Internet of Things Laboratory	2/100		Total	18/400
6	Cloud Computing Laboratory	2/100
7	Lab/Project on Optional	2/100
8	ESEP – Mini Project	2/50 M
9	ESEP-Xlanz	2/50 M
10	Co-Curricular Activities/Sports	-
	Total	26/800

Electives:

SEMESTER 5				SEMESTER 6
Core Elective –1		Optional /Soft Elective		Core Elective –2		Open Elective -1
S.No.	Subject	S.No.	Subject	S.No.	Subject	S.No.	Subject
1	Programming the World Wide Web	1	Operating Systems	1	Python Application Programming	1	Web2.0
2	Object-Oriented Modeling and Design	2	Natural Language Processing	2	Data Warehousing and Data Mining	2	Designing Embedded Systems
3	Theory of Computation	3	Management and Entrepreneurship	3	Adhoc Networks	3	Python Application Programming
4	Digital Image Processing	4	Mobile Application Development	4	Wireless Sensor Networks and Mobile Computing	4	Cryptography and Network Security
5	Data Compression	5	Stress Management	5	Cryptography, Network Security and Cyber Law	5	Occupation Health and safety in construction industry
						6	Air Pollution Control
						7	Total Quality Management
						8	Micro Electromechanical Systems

SEMESTER 7		SEMESTER 7
Core Elective –3		Core Elective –4
S.No.	Subject	S.No.	Subject
1	Cloud computing	1	Artificial Intelligence
2	Genetic Algorithms	2	Block chain
3	High Speed Networks	3	Virtual Reality
4	Advanced Computer Architecture	4	Storage Area Networks
5	Multimedia Processing	5	Software Architecture
6	Agile Technology	6	Distributed Computing systems
7	System Modeling and Simulation	7	Advanced Database Management systems
8	Digital Signal Processing	8	Data Science
9	Deep Learning	9	Advanced Microprocessor
10	Big Data and Analytics	10	Cyber Security

SEMESTER 7
Open Elective-2
S.No		Subject
1		Social and Web Analytics
2		Information Security
3		Software testing
4		Artificial Intelligence
5		Virtual Reality
6		Telecommunication Management
7		Research Methodology
8		Environment impact Assessment
9		Introduction to smart city
10		Nano Technology
11		Operation Management
12		Quality Control

Course Structure: B.Tech in Data Science and Engineering

SEMESTER 1			SEMESTER 2
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Engineering Physics of Materials	4/100	1	Engineering Chemistry of Materials	4/100
2	Computer Software Concept & Programming	4/100	2	Information Communication & Computation Technology	4/100
3	Elements of Electrical & Electronics	4/100	3	Elements of Mechanical & Civil Engineering	4/100
4	Quantitative Techniques in Engineering-I/II	4/100	4	Quantitative Techniques in Engineering-I/II	4/100
5	Lab on Engineering Physics of Materials	2/100	5	Lab on Engineering Chemistry of Materials	2/100
6	Electrical & Electronics Lab	2/100	6	Computer Aided Engineering Drawing Lab	2/100
7	Lab on Computer Programming	2/100	7	Lab on Spreadsheet Programming	2/100
8	Technical English (ESEP – Xlanz)	2/50 /td>	8	Professional English ( ESEP – Xlanz)	2/50
9	Principles of Environmental Studies	2/50	9	Constitution & Professional Ethics	2/50
10	Kannada/ Co-curricular Activities/Sports (ESEP)	–	10	Kannada/ Co-curricular Activities/Sports (ESEP)	–
	Total	26/800		Total	26/800

SEMESTER 3			SEMESTER 4
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Database Management Systems	4/100	1	Statistics and Probability - I	4/100
2	Data Structures and Algorithms	4/100	2	Python Programming	4/100
3	Operating Systems	4/100	3	Introduction to Data Science	4/100
4	Computer Network	4/100	4	Object Oriented Programming using Java	4/100
5	Database Management Systems Lab	2/100	5	Python Programming Lab	2/100
6	Data Structures and Algorithms Lab	2/100	6	R Programming Lab	2/100
7	Computer Network Lab	2/100	7	Object Oriented Programming using Java Lab	2/100
8	ESEP- Design Thinking	2/50	8	ESEP- Blockchain Technologies	2/50
9	ESEP- CRT3- Effective Communication Skills	2/50	9	ESEP- CRT4- Personality Development	2/50
10	Co-curricular Activities/ Sports (ESEP)	-	10	Co-curricular Activities/ Sports (ESEP)	-
	Total	26/800		Total	26/800

SEMESTER 5			SEMESTER 6
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Machine Learning	4/100	1	Big Data Analytics	4/100
2	NoSQL Databases	4/100	2	Advanced Machine Learning	4/100
3	Core-Elective	4/100	3	Core-Elective	4/100
4	Statistics and Probability - II	4/100	4	Sampling Techniques	4/100
5	Machine Learning Lab	2/100	5	Big Data Analytics Lab	2/100
6	NoSQL Databases Lab	2/100	6	Advanced Machine Learning Lab	2/100
7	Lab/ Project on Core Elective	2/100	7	Lab /Project on Core Elective	2/100
8	ESEP-Intellectual Property Rights	2/50	8	ESEP-Patent Analysis	2/50
9	ESEP- CRT5- Business Communication & Presentation Skills	2/50	9	ESEP- CRT6- Effective Speaking and Listening skills	2/50
10	Co-curricular Activities/ Sports (ESEP)	-	10	Co-curricular Activities/ Sports (ESEP)	-
	Total	26/800		Total	26/800

SEMESTER 7			SEMESTER 8
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Advanced Big Data Analytics	4/100	1	Project based Internship with applied Patent	24/750
2	Data Visualization	4/100
3	Core/Elective/Soft	4/100
4	Software Engineering	4/100
5	Advanced Big Data Analytics Lab	2/100
6	Data Visualization Lab	2/100
7	Project	2/100
8	ESEP-User Experience Design	2/50
9	ESEP-CRT7-Working towards placement -I	2/50	2	ESEP- CRT8-Working towards Placements -II	2/50
10	Co-curricular Activities/ Sports (ESEP)	-	3	ESEP- ABC Skill Trainer (Optional)	-
	Total	26/800		Total	26/800

SEMESTER 5			SEMESTER 6
Core Electives			Core Electives
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Data Warehousing and ETL Techniques	4/100	1	Natural Language Processing	4/100
2	Exploratory Data Analysis	4/100	2	Recommender System	4/100
3	Data Aggregation & Pre-processing	4/100	3	Deep Learning	4/100

SEMESTER 7
Core Electives
S. No.	Subject	Credit/ Marks
1	Data Mining Techniques	4/100
2	Design and Analysis of Experiments	4/100
3	Business Intelligence	4/100

Course Structure: B.Tech in Cloud Computing and Mobile Technology

SEMESTER 1			SEMESTER 2
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Engineering Physics of Materials	4/100	1	Engineering Chemistry of Materials	4/100
2	Computer Software Concept & Programming	4/100	2	Information Communication & Computation Technology	4/100
3	Elements of Electrical & Electronics	4/100	3	Elements of Mechanical & Civil Engineering	4/100
4	Quantitative Techniques in Engineering-I/II	4/100	4	Quantitative Techniques in Engineering-I/II	4/100
5	Lab on Engineering Physics of Materials	2/100	5	Lab on Engineering Chemistry of Materials	2/100
6	Electrical & Electronics Lab	2/100	6	Computer Aided Engineering Drawing Lab	2/100
7	Lab on Computer Programming	2/100	7	Lab on Spreadsheet Programming	2/100
8	Technical English (ESEP – Xlanz)	2/50 /td>	8	Professional English ( ESEP – Xlanz)	2/50
9	Principles of Environmental Studies	2/50	9	Constitution & Professional Ethics	2/50
10	Kannada/ Co-curricular Activities/Sports (ESEP)	–	10	Kannada/ Co-curricular Activities/Sports (ESEP)	–
	Total	26/800		Total	26/800

SEMESTER 3			SEMESTER 4
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Database Management Systems	4/100	1	Information Security & Network Security	4/100
2	Data Structures and Algorithms	4/100	2	Principles of Virtualization	4/100
3	Operating Systems	4/100	3	Introduction to Cloud Computing	4/100
4	Computer Network	4/100	4	Object Oriented Programming using Java	4/100
5	Database Management Systems Lab	2/100	5	Information Security & Network Security Lab	2/100
6	Data Structures and Algorithms Lab	2/100	6	Principles of Virtualization Lab	2/100
7	Computer Network Lab	2/100	7	Object Oriented Programming using Java Lab	2/100
8	ESEP- Design Thinking	2/50	8	ESEP- Blockchain Technologies	2/50
9	ESEP- CRT3- Effective Communication Skills	2/50	9	ESEP- CRT4- Personality Development	2/50
10	Co-curricular Activities/ Sports (ESEP)	-	10	Co-curricular Activities/ Sports (ESEP)	-
	Total	26/800		Total	26/800

SEMESTER 5			SEMESTER 6
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Fundamentals of Storage and Datacenter	4/100	1	Cloud Deployment	4/100
2	Ethical Hacking	4/100	2	Cyber Forensics	4/100
3	Core-Elective	4/100	3	Core-Elective	4/100
4	Database Security	4/100	4	Cloud Migration	4/100
5	Fundamentals of Storage and Datacenter Lab	2/100	5	Cloud Deployment Lab	2/100
6	Ethical Hacking Lab	2/100	6	Cyber Forensics Lab	2/100
7	Lab/ Project on Core Elective	2/100	7	Lab /Project on Core Elective	2/100
8	ESEP-Intellectual Property Rights	2/50	8	ESEP-Patent Analysis	2/50
9	ESEP- CRT5- Business Communication & Presentation Skills	2/50	9	ESEP- CRT6- Effective Speaking and Listening skills	2/50
10	Co-curricular Activities/ Sports (ESEP)	-	10	Co-curricular Activities/ Sports (ESEP)	-
	Total	26/800		Total	26/800

SEMESTER 7			SEMESTER 8
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Cloud Web Services	4/100	1	Project based Internship with applied Patent	24/750
2	Virtualization and Cloud Security	4/100
3	Core/Elective/Soft	4/100
4	Software Engineering	4/100
5	Cloud Web Services Lab	2/100
6	Virtualization and Cloud Security Lab	2/100
7	Project	2/100
8	ESEP-User Experience Design	2/50
9	ESEP-CRT7-Working towards placement -I	2/50	2	ESEP- CRT8-Working towards Placements -II	2/50
10	Co-curricular Activities/ Sports (ESEP)	-	3	ESEP- ABC Skill Trainer (Optional)	-
	Total	26/800		Total	26/800

SEMESTER 5			SEMESTER 6
Core Electives			Core Electives
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Security Threats and Trends	4/100	1	Server Administration	4/100
2	Web Application & SDLC	4/100	2	Network Administration	4/100
3	Server Security	4/100	3	Linux Administration	4/100

SEMESTER 7
Core Electives
S. No.	Subject	Credit/ Marks
1	Cyber Security and Incidence Response Management	4/100
2	Security Standards & Framework	4/100
3	Cloud Architecture	4/100

Course Structure: B.Tech in Cyber Security & Cyber Forensics

SEMESTER 1			SEMESTER 2
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Engineering Physics of Materials (S)	4/100	1	Engineering Chemistry of Materials (S)	4/100
2	Computer Software Concept & Programming (T)	4/100	2	Information Communication & Computation Technology (T)	4/100
3	Elements of Electrical & Electronics (E)	4/100	3	Elements of Mechanical & Civil Engineering (E)	4/100
4	Quantitative Techniques in Engineering I/II (M)	4/100	4	Quantitative Techniques in Engineering I/II (M)	4/100
5	Lab on Engineering Physics of Materials (EL)	1.5/100	5	Lab on Engineering Chemistry of Materials (EL)	1.5/100
6	Workshop Practice (CE & ME) / Electrical & Electronics Lab (EC & CS) (EL)	2/100	6	Computer Aided Engineering Drawing Lab (EL)	2/100
7	Lab on Computer Programming (EL)	1.5/100	7	Lab on Spreadsheet Programming (EL)	1.5/100
8	Principles of Environmental Studies (ESEP)	2/50	8	Constitution & Professional Ethics (ESEP)	2/50
9	Technical English(ESEP-XLanz)	2/50	9	Professional English(ESEP-XLanz)	2/50
10	Kannada/ Co-curricular Activities/Sports (ESEP)	–	10	Kannada/ Co-curricular Activities/Sports (ESEP)	–
	Total	25/800		Total	25/800

SEMESTER 3			SEMESTER 4
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Quantitative Techniques in Engineering (M)	4/100	1	Design and Analysis of Algorithms	4/100
2	Data Structures and its Applications	4/100	2	Computer Graphics and Visualization	4/100
3	Analog and Digital Electronics	4/100	3	Object Oriented Concepts	4/100
4	Introduction to Forensic Science	4/100	4	Introduction to Cyber Laws & Cybercrimes.	4/100
5	Microcontroller and Embedded Systems Laboratory	1.5/100	5	Design and Analysis of Algorithms using C++ Laboratory	1.5/100
6	Logic Design and Analog Circuits Laboratory	1.5/100	6	Computer Graphics and Visualization Laboratory	1.5/100
7	Data Structures Lab	2/100	7	Java Programming Laboratory	2/100
8	ESEP (Troubleshooting)	2/50	8	ESEP (Workshops)	2/50
9	ESEP-Xlanz	2/50	9	ESEP-Xlanz	2/50
10	Co-curricular Activities/ Sports (ESEP)	-	10	Co-curricular Activities/ Sports (ESEP)	-
	Total	25/800		Total	25/800

SEMESTER 5			SEMESTER 6
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Data Base Management System	4/100	1	Digital Forensics	4/100
2	Computer Networks	4/100	2	Machine Learning	4/100
3	Forensic Psychology	4/100	3	Python Application Programing	4/100
4	Optional/Soft	4/100	4	Optional/Soft	4/100
5	Data Base Management System Laboratory	1.5/100	5	Digital Forensic Laboratory	1.5/100
6	Computer Networks Laboratory	1.5/100	6	Machine Learning Laboratory	1.5/100
7	Forensic Psychology Laboratory	2/100	7	Python Programming Laboratory	2/100
8	ESEP (IPR in CS)	2/50	8	ESEP(Patent Analysis in CS)	2/50
9	ESEP-Xlanz	2/50	9	ESEP-Xlanz	2/50
10	Mini Project	-	10	Mini Project	-
	Total	25/800		Total	25/800

SEMESTER 7			SEMESTER 8
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Internet of Things	4/100	1	Project Based Internship With Application to Patent	25/800
2	Cloud Computing And Virtualization	4/100
3	Economics offences related in cyber Security	4/100
4	Optional/Soft	4/100
5	Internet Of Things Laboratory	1.5/100
6	Cloud Computing Laboratory	1.5/100
7	Artificial Intelligence Laboratory	2/100
8	ESEP (ABC –Skill trainer)	2/50
9	ESEP-Xlanz	2/50
10	Co-curricular Activities	-
	Total	25/800		Total	25/800

JOIN THE ABOVE INNOVATIVE B.Tech (Cyber Security And Cyber Forensics) PROGRAMME WITH INDUSTRY RELEVANCEAND JOB ORIENTED SYLLABUS TO RE-DEFINE YOUR CAREER ALTITUDE!!!

Course Structure: B.Tech in Artificial Intelligence & Virtual Reality

SEMESTER 1			SEMESTER 2
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Engineering Physics of Materials (S)	4/100	1	Engineering Chemistry of Materials (S)	4/100
2	Computer Software Concept & Programming (T)	4/100	2	Information Communication & Computation Technology (T)	4/100
3	Elements of Electrical & Electronics I	4/100	3	Elements of Mechanical & Civil Engineering I	4/100
4	Quantitative Techniques in Engineering I/II (M)	4/100	4	Quantitative Techniques in Engineering I/II (M)	4/100
5	Lab on Engineering Physics of Materials (EL)	1.5/100	5	Lab on Engineering Chemistry of Materials (EL)	1.5/100
6	Workshop Practice (CE & ME) / Electrical & Electronics Lab (EC & CS) (EL)	2/100	6	Computer Aided Engineering Drawing Lab (EL)	2/100
7	Lab on Computer Programming (EL)	1.5/100	7	Lab on Spreadsheet Programming (EL)	1.5/100
8	Principles of Environmental Studies (ESEP)	2/50M	8	Constitution & Professional Ethics (ESEP)	2/50M
9	HOLOSUIT ESEP Practical Electronics Design - I	2/50M	9	HOLOSUIT ESEP Practical Electronics Design - II	2/50M
10	Kannada/ Co-curricular Activities/Sports (ESEP)	-	10	Kannada/ Co-curricular Activities/Sports (ESEP)	-
	Total Credit	25/800		Total Credit	25/800

	SEMESTER 3		SEMESTER 4
S.No	Subject	Credit/ Marks	S.No	Subject	Credit/ Marks
1	Numerical Techniques and Integral Transforms	4/100	1	Discrete Mathematical Structures	4/100
2	Data Structures and its applications	4/100	2	Design and Analysis of Algorithms	4/100
3	Digital Systems Design	4/100	3	Object Oriented Concepts	4/100
4	HOLOSUIT Sub Introduction to VR Programming	4/100	4	HOLOSUIT Sub Introduction to AR Programming	4/100
5	Logic Design and Analog Circuits Lab	1.5/100	5	Design and Analysis of Algorithms lab	1.5/100
6	HOLOSUIT Lab VR Programming Lab	2/100	6	HOLOSUIT Lab AR Programming Lab	2/100
7	Data Structures Lab	1.5/100	7	Java Programming Lab	1.5/100
8	HOLOSUIT ESEP Printed Circuit Board Designing	2/50 M	8	HOLOSUIT ESEP 3D Design	2/50 M
9	HOLOSUIT ESEP Mobile application Development	2/50 M	9	HOLOSUIT ESEP Circuit Design Competition	2/50 M
10	Co-curricular Activities/ Sports (ESEP)	-	10	Co-curricular Activities/ Sports (ESEP)	-
	Total Credit	25/800		Total Credit	25/800

SEMESTER 5			SEMSTER 6
S.No.	Subject	Credit/ Marks	S. No.	Subject	Credit/ Marks
1	Database Management Systems	4/100	1	System Software and Compiler Design	4/100
2	Computer Networks	4/100	2	Machine Learning	4/100
3	Core-Elective	4/100	3	Core-Elective	4/100
4	HOLOSUIT Sub Introduction to Mixed Reality Programming	4/100	4	HOLOSUIT Sub Game Programming using AI	4/100
5	Database Management Systems Lab	1.5/100	5	System Software and Compiler Design Lab	1.5/100
6	Computer Networks Lab	1.5/100	6	Machine Learning Lab	1.5/100
7	HOLOSUIT Lab Mixed Reality Programming Lab	2/100	7	HOLOSUIT Lab HoloSuit based AR/VR/MR Programming Lab	2/100
8	HOLOSUIT ESEP 3D Printing	2/50 M	8	HOLOSUIT ESEP Codeathon	2/50 M
9	HOLOSUIT ESEP Workshop on building Practical Robots	2/50 M	9	HOLOSUIT ESEP Robotics Challenge	2/50 M
10	Co-curricular Activities/ Sports (ESEP)	-	10	Co-curricular Activities/ Sports (ESEP)	-
	Total Credit	25/800		Total Credit	25/800

SEMESTER 7			SEMESTER 8
S. No	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Internet of Things	4/100	1	Project based Internship with applied Patent guided by HoloSuit	21/700
2	Artificial Intelligence	4/100
3	Core/Elective/Soft	4/100
4	HOLOSUIT Sub Multiplayer AR/VR/MR	4/100
5	Internet of Things Lab	1.5/100
6	HOLOSUIT Lab Multiplayer AR/VR/MR Lab	1.5/100
7	Project Phase I - HoloSuit	2/100
8	HOLOSUIT ESEP Workshop on Assistive technology	2/50
9	HOLOSUIT ESEP Workshop on Product Development Life Cycle	2/50	2	Technical Seminar	2/50
10	Co-curricular Activities/ Sports (ESEP)	-	3	Patent Filing	2/50
	Total Credit	25/800		Total Credit	25/800

Sl NO	Core-Elective- 5th Semester
1.	Programming the World Wide Web
2.	Theory of Computation
3.	Data Compression

Sl NO	Core-Elective- 6th Semester
1.	Python Application Programming
2.	Data Warehousing and Data Mining
3.	Cryptography Network Security and Cyber Law

Sl NO	Core-Elective- 7th Semester
1.	Cloud Computing
2.	Multimedia Processing
3.	Agile Technology
4.	HoloSuit Subject

Course Structure: M.Tech in Artificial Intelligence & Virtual Reality

SEMESTER 1			SEMESTER 2
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Advanced Data Structure and Algorithm	4/100	1	Research Methodology	4/100
2	Virtual Reality	4/100	2	Python for IoT	4/100
3	Foundation For AI	4/100	3	Information Retrieval	4/100
4	Machine Learning	4/100	4	Artificial Intelligence	4/100
5	Data Visualization	4/100	5	Elective II	4/100
6	Elective I	4/100	6	Elective III	4/100
7	Machine Learning Lab	2/100	7	IoT Lab	2/100
8	Seminar	2/50	8	Seminar	2/50
	Total	28/750		Total	28/750

SEMESTER 3			SEMESTER 4
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Seminar/Presentation on Internship (After 8 weeks from the date of commencement)	1/50	1	Project Work Phase: I	1/50
2	Report on Internship	2/50	2	Report on Project Work	3/50
3	Evaluation and Viva-Voce	6/150	3	Final Evaluation of Project Work and Viva-Voce	6/200
	Total	09/250		Total	10/300

SEMESTER 1			SEMESTER 2			SEMESTER 2
Elective -1			Elective -2			Elective -3
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Statistical Learning Theory	4/100	1	Multiagent Systems	4/100	1	Machine Learning for Big Data	4/100
2	Foundation of Data Science	4/100	2	Computational Intelligence	4/100	2	System Design Engineering	4/100

Course Structure: M.Tech in Computer Science

SEMESTER 1			SEMESTER 2
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Advances in Operating Systems	4/100	1	Managing Big Data	4/100
2	Cloud Computing	4/100	2	Advances in Computer Networks	4/100
3	Advances in DataBase Management Systems	4/100	3	Advanced Algorithms	4/100
4	Multicore Architecture and Programming	4/100	4	Artificial Intelligence and Agent Technology	4/100
5	Machine Learning Techniques	4/100	5	Elective II	4/100
6	Elective I	4/100	6	Elective III	4/100
7	Advances in Operating Systems Laboratory	2/100	7	Advanced Algorithms Laboratory	2/100
8	Seminar	2/50	8	Seminar	2/50
	Total	28/750		Total	28/750

SEMESTER 3			SEMESTER 4
S. No.	Subject	Credit/ Marks	S. No	Subject	Credit/ Marks
1	Seminar/ Presentation on Internship	1/50	1	Project Work Phase I	1/50
2	Report on Internship	2/50	2	Report on Project Work	3/50
3	Evaluation and Viva-Voce	6/150	3	Final Evaluation of Project Work and Viva-Voce	6/200
	Total	09/250		Total	10/300

S. No.	Elective I	S. No	Elective II	S. No	Elective III
1	Advances in Digital Image Processing	1	Web Services	1	Computer Vision
2	Advances in Storage Area Networks	2	Information and Network Security	2	Business Intelligence and itApplications
3	Embedded Computing Systems	3	Pattern Recognition	3	Agile Technologies
4	Advances in Computer Graphics	4	Optical Networks	4	Wireless Network and Mobile Computing

STUDENT ASSOCIATION

Student Association – ACE
The Computer Science and Engineering Student’s Chapter “ACE” (Association of Computer Engineer) was started in the year 2011 with a view to provide platform for Computer Science engineering students to organize activities like seminars, technical talks, guest lectures, etc. Experts and professionals from the industry, research centers and the academia are regularly invited to share their experience and to impart knowledge to the Computer Science engineering students. Election for the various positions of Office Bearers of ACE is conducted on annual basis, in the month of August. The aim of conducting election is to promote the leadership and team building abilities of students, and also to organize various events under the leadership of HOD and Faculty Coordinators

ACTIVITIES OF ACE

Sl.No	Activity Details
1	Department of Computer Science and Engineering conducted a two days workshop for students on “NETWORK CONCEPTS AND ITS APPLICATIONS” (NCA-2020) on 22nd & 23rd February 2020. The workshop was inaugurated by Dr. Thomas Pinto, Dean, SUCET who was the chief guest along with Prof. Kishore Baglodi, HOD, Dept of CS & E and NCA-2020 co-ordinator Mrs. Shifana Begum, Asst. Prof., Dept of CS & E. The workshop was aimed to enrich knowledge of students in computer networks, with practical understanding on working of different layers in protocol stack, getting practical skills in configuring network components like switches, routers and gateways, and to learn ethical hacking methods. A total of 53 students from both 6th and 8th semester had participated in this workshop
2	Mini Project Exhibition A mini project exhibition “PIXEL PIC 2020” on Computer Graphics and Visualization was held on 7th February 2020, organized by Association of Computer Engineers ( ACE ), Department of Computer Science and Engineering, SUCET Mukka. The Principal and Dean, Dr. Thomas Pinto inaugurated the function and encouraged and appreciated the students for their hard work. The Head of the Department of Computer Science and Engineering, Prof Kishore Baglodi congratulated the students with his motivational words.
3	Seminar on Blockchain Technology The seminar was conducted on the topic “Blockchain” by Rahul, Vice President of EMERGO on Feb 5, 2020 for the Second and third year Computer Science Students of SUCET Mukka The Principal and Dean, Dr. Thomas Pinto inaugurated the function and encouraged and appreciated the students for their hard work. The Head of the Department of Computer Science and Engineering, Prof Kishore Baglodi congratulated the students with his motivational words.
4	Students of final year CSE interacted with Home For Geriatric health Care CHIRANTHANA , Surathkal, on DECEMBER 2,2019 and spend 1hour time with them .
5	Technical Talk on “Machine Learning” Technical Talk was conducted on the topic “Machine Learning” for the 2nd and 3rd Year of Computer Science and Engineering & Electronics and Communication students on 07/03/2020 by Ashok Wilson Dsouza, Senior Business Intelligence Analyst, Atlantic Data Bureau Services Pvt. Ltd, Mangalore from ICT ACADEMY\| An Initiative of Government of India, State Govt. and Industry. The technical talk was aimed to enrich knowledge for students on advanced topic machine learning.
6	The talk on the VM software was organized by the computer science department on Nov 7 2019 for faculties by Thomas J Tantra.

STUDENT AND FACULTY ACHIEVEMENTS

Achievement Details
	Ms. Supriya- Secured 3rd RANK in VTU In Computer Science and Engineering Final exams, 2018-19. She is now pursuing her Masters Degree at Chalmers University of Technology Sweden with full Scholarship.
	• Divya and Khathija Rukshana, under the Guidance of Mrs. Shifana Begum Secured Second Prize in the Technical Paper Presentation Competition held in A.J.I.T, Mangalore in the Event Aakaar-2019. • Divya and Khathija Rukshana , under the Guidance of Mrs. Shifana Begum Secured First Prize in the Technical Paper Presentation Competition held in SVMITM, Bantakal in the event Varnotsava -2019. • Divya and Khathija Rukshana, under the Guidance of Mrs. Shifana Begum Secured Second Prize in the Technical Paper Presentation competition held in NMAMIT, Nitte in the Event Incredia-2019. • Divya and Khathija Rukshana, under the Guidance of Mrs.Shifana Begum Secured First Prize in the Technical Paper Presentation Competition held in SIT, Valachil in the event Envision-2019. • Divya and Khathija Rukshana, under the Guidance of Mrs.Shifana Begum Secured Second Prize in Technical Paper Presentation competition held in St. Joseph Engineering College, Vamanjoor in the Event TIARA-2019.
	Shruthi and Supritha of Computer science and Engineering department, SUCET, Mukka have presented paper held at Alva’s Institute of Engineering and Technology, TECHNOFIA 19, titled “Real time animal repellent system ” under the guidance of Mr. Sudesh Rao and bagged 2nd place.
	Ms. Kavya Nandhish Naik has won following Prizes • Winner in Single and Double Badminton held at DASARA S PORTS (Uttara Kannada) • Winner in Single and Double Badminton held at Rotaract Club 2017- 18

TESTIMONIALS

In this letter, I would like to express my heartfelt thanks to Srinivas School of Engineering, Mukka, for being a guiding lamp in my educational aspects together with providing a platform to enjoy the student life.
Due to a lot of technical institutions popping up, there is a major misconception that, people often associate campus placements and reputation of the institution over the quality of technical education imparted to the students. It should be noted that institutions are like guiding torches which illuminate the path along which the student has to persevere to attain success and it’s the responsibility of the student to use this facility in the right way. The four years of technical education which I had in Srinivas School of Engineering, Mukka is one such notable institution in my eyes that has provided me with a strong foundation to be able to perceive a vast ocean of knowledge.
I had started my bachelors in this college in the year 2014. The location of this institution is ideal, accessible to the local students. I was able to save enough time and utilize it efficiently during my 4 years of bachelors study. I couldn’t believe how quickly these 4 years of education came to an end. Every day, I would feel the institution like my second home, where the lecturers are friendly and good in their field of expertise. The faculties have a caring eye towards each and every student, motivating them towards studies and participation in extracurricular activities. The library is the knowledge hub, where they respond to the student's needs by making available of the required books.
My words are very less to say how thankful I am to this college. I am always proud to say that I am an alumnus of this university and I will carry this tag throughout my career.
Supriya ( 2018 batch ) Master of Science - Software Engg & Tech. Chalmers University of Technology Gothenburg, Sweden

Greetings to all; I am Vinita Lauren, an alumni of Srinivas university; from the Computer science batch of 2017. I am always grateful to Srinivas university for several reasons. The atmosphere here has been motivating, which in turn led our minds to innovation. The facilities provided here, always kept me enthusiastic and the management has been helpful in all possible ways. The University has indeed paved way for us to meet good recruiting companies. Srinivas university hasn’t just provided me with various platforms to showcase my abilities and skills but has also paved way for me to master soft skills that are demanding at present. My University has also given me a wonderful life with a good career and continuous motivation by offering scholarships. Finally, I can always take pride in saying that I am an alumni of Srinivas university with my head held high.
Vinita Lauren Soaries (2017 Batch ), Network Engineer, CSS Corp Bangalore

“For me,In life the four years of Engineering at Srinivas University was a memorable one. Those four years made me bold, energitic,more importantly taught the patience to lead life.The friendly nature of faculties, staffs and everyone in Srinivas University made me what I am today. My knowledge and skills were stretched and tested at many points. But In all those stretching,shaping process the only aim of this institution as a whole was commited for making me what I am.The biggest thanks I owe however is to all of them for the faith they had in me and backing me in every way possible to develop myself to the best possibilities. College days are always the best days of my life. They gift most of us with some unforgettable memories to cherish forever. The friends I made, the days I spend together, and the moments shared are priceless.Thank you Srinivas University for making part of my life so beautiful.”

Aneesh Rao H S (2019 Batch) (Currently working as System Engineer at Infosys Ltd.)

Studying at Srinivas University has been one of the best experiences in my life. some of the best friends I’ve made, the best skills I have garnered and of course the best bachelors degree I could ask for, have all been thanks to this university .With its remarkable study environment, Spacious Classrooms and commendable library, my four years of education has been undoubtedly rewarding. The highest appreciation goes to the excellent Computer Science Faculty that have been supportive and caring throughout my time at the university as well as after! The best part of the university is that it prepares you to have a balance of everything-not just the coursework, even excelling at Softskills through high motivation to take part in extra curricular activities. After finishing my course in 2018 I have worked for a year and am currently pursuing my Masters degree in Artificial Intelligence in Scotland –I have to say ,each step after college has been smooth transition for me all because of how well the university has prepared for my future .I Will forever be grateful and proud of Srinivas University.

Dehlela Shabir, Pursuing MS In Artificial Intelligence at University of St Andrews, Scotland

COMPUTER SCIENCE & ENGINEERING

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