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 Cyber Security & Cyber Forensics
M.Tech in Computer Science
M.Tech. By Research (Engineering & Technology)
Ph.D.
Vision:
To advance the state of the art in computer science and engineering by working on cutting edge research topics, publishing quality research papers and filing enduring patents.
Mission:
Imparting strong establishments and connected angles in both Computer Science Theory and Programming rehearses
Providing preparing and empowering R and D and Consultancy Services in wilderness regions of Computer Science and Engineering with a Global viewpoint
Fostering the most elevated goals of morals, values and making consciousness of the job of Computing in Global Environment
Educating and setting up the alumni, very looked for after, profitable, and all around regarded for their work culture.
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.
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.
SI No. | Name | Qualification and Designation | Photo |
1 | Dr. NETHRAVATHI P.S |
MCA, MBA, Ph.D, PDC HOD (Computer Science & Engineering), Associate Dean, SUIET |
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2 | Dr. Krishna Prasad K |
M.Sc., M. Phil., M.Tech., Ph.D., PDF Professor & HOD (Cyber Security & Cyber Forensics) |
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3 | Mr. Akhilraj V. Gadagkar |
B.E, M.Tech (Ph.D) Assistant Professor Unit Head, Artificial Intelligence & Machine Learning (AI&ML) |
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4 | Mrs. Thanmayee |
B.E, M.Tech Assistant Professor |
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5 | Mr. Janapati Venkata Krishna |
B.Tech, M.Tech (Ph.D.) Associate Professor |
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6 | Ms. Swarna H R |
B.E, M.Tech Assistant Professor |
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7 | Ms. Dyanila Neeta Ferrao |
B.E, M.Tech Assistant Professor |
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8 | Mr. Veeranna Kotagi |
B.E, MTech (Ph.D) Assistant Professor |
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9 | Mrs. Ravuri Lalitha |
M.Tech Assistant Professor |
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10 | Mrs. Swathi R |
B.E(CSE),MCA Assistant Professor |
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11 | Mrs. Varsha G Bangera |
B.E, M.Tech Assistant Professor |
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12 | Mrs. Rakshitha |
B.E, M.Tech Assistant Professor |
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12 | Mrs. Deepthi L |
B.E, M.Tech Assistant Professor |
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13 | Mrs. Medida Anupama |
M.Tech Assistant Professor |
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14 | Dr. A M Sudhakara |
M.Tech, Ph.D Professor |
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15 | Dr. K. T. Veeramanju |
M.Tech, Ph.D Professor |
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16 | Dr. R.Srinivasa Rao Kunte |
M.Tech, Ph.D MIEE, FIETE. MISTE. Professor |
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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 |
SL.No | CourseCode | Course Title | Teaching | Exam | Credits | |||||
Theory | Tutorial | Lab | Self-Study/Practice | IA | Exam | Total | Credits | |||
1 | 21SMA31 | Engineering Statistics | 4 | 0 | 0 | 0 | 50 | 50 | 100 | 4 |
2 | 21SCS32 | Data Structures and its Applications using C | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
3 | 21SCS33 | Computer Architecture and Design | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
4 | 21SCS34 | Object Oriented Programming using JAVA | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
5 | 21SCS35 | Introduction to BioInformatic | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
6 | 21SCS36 | Data Structures using C lab | 0 | 1 | 2 | 0 | 50 | 50 | 100 | 2 |
7 | 21SCS37 | OOPS using JAVA lab | 0 | 1 | 2 | 0 | 50 | 50 | 100 | 2 |
8 | 21SCS38 | Employability Skills Enhancement Programme – 1 (ESEP 1) | 2 | 0 | 0 | 0 | 50 | 0 | 50 | 2 |
9 | 21SCS30 | International Certification Course on Current Trends - 1 | 0 | 0 | 0 | 2 | - | - | - | 1 |
Total Marks/Credit | 750 | 23 |
SL.No | CourseCode | Course Title | Teaching | Exam | Credits | |||||
Theory | Tutorial | Lab | Self-Study/Practice | IA | Exam | Total | Credits | |||
1 | 21SCS41 | Discrete Mathematical Structures and Graph Theory | 4 | 0 | 0 | 0 | 50 | 50 | 100 | 4 |
2 | 21SCS42 | Design and Analysis of Algorithms | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
3 | 21SCS43 | Database Management System | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
4 | 21SCS44 | Software Engineering | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
5 | 21SCS45 | Computer Network | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
6 | 21SCS46 | Database Management Systems lab | 0 | 1 | 2 | 0 | 50 | 50 | 100 | 2 |
7 | 21SCS47 | Computer Network Lab | 0 | 1 | 2 | 0 | 50 | 50 | 100 | 2 |
8 | 21SQA48 | Employability Skills Enhancement Programme – 2 (ESEP 2) | 2 | 0 | 0 | 0 | 50 | 0 | 50 | 2 |
9 | 21SCS40 | International Certification Course on Current Trends - 2 | 0 | 0 | 0 | 2 | - | - | - | 1 |
Total Marks/Credit | 750 | 23 |
SL.No | CourseCode | Course Title | Type of Course | Mode of Delivery | Teaching | Exam | Credits | |||||
Theory | Tutorial | Lab | Self-Study/Practice | IA | Exam | Total | Credits | |||||
1 | 21SCS51 | Operating Systems | PC | RM | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
2 | 21SCS52 | Microprocessor and Interfacing Techniques | PC | RM | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
3 | 21SCS53 | Introduction to AI & ML | PC | RM | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
4 | 21SCS54 | Theory of Computations and Complier Design | PC | RM | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
5 | 21SCS55 | Computer Graphics | PC | PBL | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
6 | 21SCSL56 | Microprocessor and Interfacing Lab | PC | RM | 0 | 1 | 2 | 0 | 50 | 50 | 100 | 2 |
7 | 21SCSL57 | Operating Systems Lab | PC | RM | 0 | 1 | 2 | 0 | 50 | 50 | 100 | 2 |
8 | 21SQA58 | ESEP -3 | UC | RM | 2 | 0 | 0 | 0 | 50 | 0 | 50 | 2 |
9 | 21SCSS01 | MOOC -1 | PC | BM | 0 | 0 | 0 | 2 | 50 | 0 | 50 | 1 |
10 | 21SCS59 | Internship – 1 | PC | BM | 0 | 0 | 0 | 4 | 50 | 0 | 50 | 2 |
11 | 21SCS50 | International Certification Course on Current trends- 3 | PC | BM | 0 | 0 | 0 | 2 | - | - | - | 1 |
850 | 25 |
SL.No | CourseCode | Course Title | Type of Course | Mode of Delivery | Teaching | Exam | Credits | |||||
Theory | Tutorial | Lab | Self-Study/Practice | IA | Exam | Total | Credits | |||||
1 | 21SCS61 | Web Technology | PC | PBL | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
2 | 21SCS62 | Fundamental of IoT | PC | RM | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
3 | 21SCS63x | Core elective-1 | CE | RM | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
4 | 21SCS64x | Core elective -2 | CE | RM | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
5 | 21SBM65x | Open elective -1 | OE | RM | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
6 | 21SCSL66 | Web Technology Lab | PC | RM | 1 | 0 | 2 | 0 | 50 | 50 | 100 | 2 |
7 | 21SCSL67 | Fundamental of IoT Lab | PC | RM | 1 | 0 | 2 | 0 | 50 | 50 | 100 | 2 |
8 | 21SCSS02 | MOOC-2 | PC | BM | 0 | 0 | 0 | 2 | 50 | 0 | 50 | 1 |
9 | 21SQA68 | ESEP- 4 | UC | RM | 2 | 0 | 0 | 0 | 50 | 0 | 50 | 2 |
10 | 21SCS60 | International Certification course on Current trends- 4 | PC | BM | 0 | 0 | 0 | 2 | - | - | - | 1 |
Total Marks/Credit | 800 | 23 |
SL.No | CourseCode | Course Title | Type of Course | Mode of Delivery | Teaching | Exam | Credits | |||||
Theory | Tutorial | Lab | Self-Study/Practice | IA | Exam | Total | Credits | |||||
1 | 21SCS71 | Cloud Computing | PC | PBL | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
2 | 21SCS72 | Data Science | PC | RM | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
3 | 21SCS73 | Information Security | PC | RM | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
4 | 21SCS74x | Core Elective – 3 | CE | RM | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
5 | 21SCS75 | Big Data Analytics | PC | RM | 3 | 0 | 0 | 0 | 50 | 50 | 100 | 3 |
6 | 21SCSL76 | Cloud Computing Lab | PC | RM | 0 | 0 | 2 | 0 | 50 | 50 | 100 | 2 |
7 | 21SCS77 | Mini-Project | PC | RM | 0 | 0 | 0 | 4 | 50 | 50 | 100 | 2 |
8 | 21SQA79 | ESEP: Patent Filing & IPR | UC | RM | 2 | 0 | 0 | 0 | 50 | 0 | 50 | 2 |
9 | 21SCS78 | Internship-2 | PC | RM | 0 | 0 | 0 | 4 | - | - | 50 | 2 |
10 | 21SSI01 | Social Internship | MC | BM | 0 | 0 | 0 | 2 | 100 | 0 | 100 | - |
900 | 23 |
SL.No | CourseCode | Course Title | Type of Course | Mode of Delivery | Teaching | Exam | Credits | |||||
Theory | Tutorial | Lab | Self-Study/Practice | IA | Exam | Total | Credits | |||||
1 | 21SCS81 | Technical Seminar | PC | BM | 0 | 0 | 0 | 4 | 100 | - | 100 | 2 |
2 | 21SCSS03 | MOOC-3 ( Research Methodology) | PC | BM | 0 | 0 | 0 | 2 | 50 | - | 50 | 1 |
3 | 21SCS82 | Project (With Patent Application) | PC | RM | 0 | 0 | 24 | 0 | 100 | 100 | 200 | 12 |
Total Marks/Credit | 350 | 15 |
Total Credits for B.Tech (CSE) Honors: `180 Credits
1st Year = 48
2nd to 4th Year = 132
Total = 180
List of Courses for Core Elective-1
Image Processing – 21SCS631
Computational Intelligence – 21SCS632
Natural Language Processing – 21SCS633
Computer Vision – 21SCS634
Distributed Computing – 21SCS635
List of Electives for Core Elective-2
Data Warehouse and Data Mining – 21SCS641
Network and System Security – 21SCS642
Principles of User Interface Design – 21SCS643
Mobile Computing – 21SCS644
Cryptography and Network Security – 21SCS645
Software Project Management – 21SCS646
Introduction to Data Science – 21SCS647
List of Electives for Core Elective-3
High Performance Computing – 21SCS741
Introduction to Soft computing – 21SCS742
Parallel Algorithms – 21SCS743
Social and Web Analytics- 21SCS744
Embedded Systems – 21SCS745
Object Oriented System Design – 21SCS746
List of Open Electives -1
Business Intelligence – 21SBM651
Introduction to Business Management – 21SBM652
Operations Research – 21SBM653
Introduction to Entrepreneurship – 21SBM654
Outline of the Curriculum for B.Tech (CSE) Honors
Total Credit - 180
Choice Based Credit System
2 Internship ( 4 weeks each) and 1 Technical Seminar
3 SWAYAM Courses in Blended Mode Teaching as Mandatory Course ( Cyber Security, Block Chain, ResearchMethodology )
3 Courses offered in PBL mode
Open Elective is offered for Management Course.
Minor in AI & ML, IoT, Information Security ( 13 Credits 3 Theory Course of 3 credit each( one in BM) and 1 Theory with lab for 4 credit)
Benchmark Institutions: IIT-Kharagpur , IIT-Bombay, VIT, IIT – Madras, VTU,JNTU, IIT-BHU
Mode of Delivery: RM: Regular Mode; BM: Blended Mode; PBL: Project Based Learning
Suggestions taken from the Employer thru Placement officer and also with m3y personal contact in IT Industry
3 certification courses need to be completed in the due courses
Cutting Technology like AI&ML, IoT, Data Science, Cloud Computing, Big Data
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 |
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 |
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 – 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. |
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. | |
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•
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 |
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.
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.
“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.”
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.