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Department of Artificial Intelligence and Intelligence came into inception from 2021 onwards with an intake of 60 seats in B.Tech. From 2022 onwards the intake was increased to 120 seats.
Sl.No | Name of the Course | Eligibility Criteria | Duration | Intake |
---|---|---|---|---|
UG Programmes | ||||
1 | B.Tech-Artificial Intelligence and Machine Learning | AP EAPCET | 4 Years | 120 |
Artificial Intelligence and Machine Learning Graduates will be able to :
1. Engineering knowledge:Apply the knowledge of Mathematics, Science, Engineering Fundamentals and Concepts of Artificial Intelligence and Machine Learning to the solution of complex Engineering problems.[K3]
2. Problem Analysis:Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of Mathematics, Natural Sciences and Computer Science.[K4]
3. Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specific needs with appropriate consideration for the public health and safety, and the cultural, societal and environmental considerations.[K5]
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.[K5]
5. Modern tool usage: 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.[K3]
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.[K3]
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.[K3]
8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the Engineering practice.[K3]
9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.[K6]
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.[K2]
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.[K6]
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.[K1]
A graduate of the Artificial Intelligence and Machine Learning Programme will be able to::
1. PSO1:Use Mathematical Abstractions and Algorithmic Design along with Open Source Programming tools to solve complexities involved in Programming. [K3]
2. PSO2:Use Professional Engineering practices and strategies for development and maintenance of software. [K3]
S.No. | Name of the Faculty | Designation |
---|---|---|
1 | Mr. K.N. Suresh | System Admin |
2 | Mr. K.V Srinivasa Rao | Hardware Technician |
3 | Mr. G.Bhanu Prakash | Hardware Technician |
4 | Mr. N.Rajasekhar | Junior Assistant |
5 | Mr. P.Manikanta Gupta | Lab Assistant |
6 | Mrs. P.Harika | Computer Lab Assistant |
7 | Mr. Md.Arriff | Computer Lab Assistant |
8 | Mr. P.Lokesh Reddy | Lab Technician |
9 | Ms. M. Naga Harika | Lab Technician |
10 | Mr. S. Nagaraju | Hardware Technician |
11 | Mr. D.Srinivasa Rao | Attender |
12 | Mr. M.Siva Krishna | Attender |
13 | Mrs. A.Sri Karuna Kumari | Attender |
14 | Mr. V. Venkateswara Rao | Attender |
S.NO | NAME OF THE BOS MEMBER | DESIGNATION | ORGANIZATION | POSITION IN JOBS |
---|---|---|---|---|
1 | Dr. G. Loshma | Professor & HOD | SVEC | Chairperson |
2 | Dr. D Haritha | Professor&HOD of CSE | UCEK, JNTUK | University Nominee |
3 | Dr. Nagesh Bhattu Sristy | Assistant Professor, Department of CSE |
NIT-AP | Academic Expert |
4 | Dr. K. Venkata Rao | Professor, Department of CS&SE |
AU College of Engineering, Visakhapatnam |
Academic Expert |
5 | Mr. Seshagiri Telkapalli | Enterprise Architect | Tata Consultancy Services, Hyderabad |
Industry Expert |
6 | Mr.Vinay Kumar | Director | XpertBridge,Hyderabad | Industry Expert |
7 | Mr. M Jnana Surya Prakasha Rao |
BI Technical Consultant | Pragmasys consulting LLP Gurgaon |
Alumni |
8 |
The Department has well equipped labs with latest Configuration. Total 9 Computer Labs for UG, PG and one research lab consisting a total of 677 systems. The various servers in the server room which includes, Oracle 11g Database Server, Intranet Server (TOMCAT), NPTEL Video/Web Server, MAT Lab Server 2012 R2, Red Hat Linux 5.0 Server, Library Automation Server, A-Mail Server, ECAP Server.
The college has high speed internet connectivity throughout the campus through a leased line from BSNL with 200Mbps ,400Mbps from Jio and 40 Mbps (Broadband). The following Laboratories are available in the department:![]() |
S.No | Name of the Lab | Configuration | Usage | No.of Systems |
---|---|---|---|---|
1 | James Gosuling Lab |
Model : Acer Vertion M200 Processor : Core i3 -7100 CPU @ 3.00 GHZ 4.00GB RAM, 1.00TB Hard Disk System type : x64 – based Processor Monitor : 18.5” LED Monitor Keyboard : Multimedia Keyboard Mouse : Optical Scroll Mouse |
DS, LSS, OOPS through C++ Lab | 72 |
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S.No | Name of the Lab | Configuration | Usage | No.of Systems |
---|---|---|---|---|
1 | E.F.CODD Lab |
Model : HCL Infinity MA380Pro/True Processor : Core i3 3rd gen 3.22GHZ 4.00 GB RAM, 500 GB Hard Disk System type : x64 – based Processor Monitor : 18.5” LED Monitor Keyboard : Multimedia Keyboard Mouse : Optical Scroll Mouse |
DBMS, OS&LP,DS Lab | 70 |
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S.No | Name of the Lab | Configuration | Usage | No.of Systems |
---|---|---|---|---|
1 | Linus Torvalds Lab |
Model : HP Desktops Processor:I3 Processor, 8 GB RAM, 256 SSD Monitor: 19.5" LED Monitor Keyboard: Multimedia Mouse: Optical Mouse |
Stat-R,DBMS | 72 |
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S.No | Name of the Lab | Configuration | Usage | No.of Systems |
---|---|---|---|---|
1 | PG CP Lab | Model : Acer Vertion I3 Desktop System Processor : Intel Core i3 -8100,8th Gen processor 8 GB DDR4 RAM, 1 TB Hard Disk Drive Monitor : 21.5” LED Monitor Keyboard : USB Keyboard Mouse : USB Optical Mouse |
AJWT, OOPS through C++ Lab | 70 |
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S.No | Name of the Lab | Location | Usage | No.of Systems |
---|---|---|---|---|
1 | R&D Lab | B-Block First Floor |
To Carryout Research Activities by Students and Faculty Members | 30 |
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S.No | Name of the Lab | Configuration | Usage | No.of Systems |
---|---|---|---|---|
1 | Yellow Lab | Model : DELL OPTI PLEX 3070 Processor : Intel Core i3, 9th Gen 8.00 GB RAM, 1 TB Hard Disk System type : x64 – based Processor Monitor : 20.5” TFT Monitor Keyboard : Multimedia Keyboard Mouse : Optical Scroll Mouse |
Placements and Training | 72 |
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S.No | Name of the Lab | Location | Usage | No.of Systems |
---|---|---|---|---|
1 | Pink Lab | Model : DELL OPTI PLEX 3070 Processor : Intel Core i3, 9th Gen 8.00 GB RAM, 1 TB Hard Disk System type : x64 – based Processor Monitor : 20.5” TFT Monitor Keyboard : Multimedia Keyboard Mouse : Optical Scroll Mouse |
Placements and Training | 72 |
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S.No | Name of the Lab | Location | Usage | No.of Systems |
---|---|---|---|---|
1 | Orange Lab | Model : DELL OPTI PLEX 3070 Processor : Intel Core i3, 9th Gen 8.00 GB RAM, 1 TB Hard Disk System type : x64 – based Processor Monitor : 20.5” TFT Monitor Keyboard : Multimedia Keyboard Mouse : Optical Scroll Mouse |
Placements and Training | 72 |
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S.No | Name of the Lab | Location | Usage | No.of Systems |
---|---|---|---|---|
1 | Green Lab | Model : DELL OPTI PLEX 3070 Processor : Intel Core i3, 9th Gen 8.00 GB RAM, 1 TB Hard Disk System type : x64 – based Processor Monitor : 20.5” TFT Monitor Keyboard : Multimedia Keyboard Mouse : Optical Scroll Mouse |
Placements and Training | 72 |
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S.No | Name of the Lab | Location | Usage | No.of Systems |
---|---|---|---|---|
1 | Brown Lab | Model : DELL OPTI PLEX 3070 Processor : Intel Core i3, 9th Gen 8.00 GB RAM, 1 TB Hard Disk System type : x64 – based Processor Monitor : 20.5” TFT Monitor Keyboard : Multimedia Keyboard Mouse : Optical Scroll Mouse |
Placements and Training | 72 |
Seminar halls with ICT Enabled Facilities -View
Department Library offers a variety of books related to Computer Science and Basic Science subjects . Reference books of various subjects are procured. Various Competitive Books are available to satisfy the thirst of the students. Books are issued to students and staff. Students can access the Library facility according to their convenience any time round-the-clock.
No. of Titles | No. of Volumes |
---|---|
455 | 684 |
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Faculty Incharge Mr. M.V.V Krishna , Asst. Professor Phone: 08818-284355 E-mail: krishna.cse@srivasaviengg.ac.in |
A.MOUs with Industries | |||
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1.Internships | |||
2.Seminars / Workshops for Students | |||
3.Industry Oriented Training | |||
4.Faculty Development Proghrammes | |||
5.Certification Programmes |
S.No | Oraganization Name | Duration | |
---|---|---|---|
From | To | ||
1 | NIT ANP | 31-12-2022 | Till Date |
2 | Alteryx SparkED Partner | 30-12-2022 | Till Date |
3 | Juniper Networks | 30-11-2022 | Till Date |
4 | Celonis Academic Alliance | 11-11-2022 | Till Date |
5 | Palo Alto Networks Cyber Security Academy | 08-11-2022 | Till Date |
6 | Blue Prism Academia Program | 01-11-2022 | Till Date |
7 | Eduskills | 31-10-2022 | 31-10-2025 |
8 | Hexaware | 25-04-2020 | Till date |
9 | APSSDC | 29-03-2019 | Till date |
10 | Alykas Innovations Pvt.Ltd | 30-01-2018 | Till date |
11 | thingTronics Pvt Ltd,Bangalore | 20-08-2016 | Till date |
12 | TCSiON | 25-04-2012 | Till date |
For the sake of encouragement for students, every year college management provides merit scholarships to the students for the Best EAMCET rankers as well as academic toppers.
Academic Year | Particulars | No.of Students Benefited | Scholarship Amount |
---|---|---|---|
2022-23 | Academic Toppers | 6 | 6500 |
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Department Association- Society of Computers for Ultimate Diligence (SCUD) was started in the year 2002. SCUD team conducts regularly technical fests, workshops and guest lectures for the benefit of students. |
We come across many heart-rending incidents and pathetic conditions of people in the society everyday. We may not be in a position to give an immediate reaction though we want to.
But the Computer Science and Engineering Students of Sri Vasavi Engineering College extended their hands to help the needy. These helping activities are going on under the name of "SAHAYA" with the slogan 'The Helping Hands' which aptly suits its purpose. SAHAYA is not a one man army rather it is the brainchild of 07 batch students and is being carried on by the subsequent batch students which sounds the real meaning of teamwork.
SAHAYA from its first day was engaged in performing its activities. It was started with the event "CHEYUTHA" in the memory of SVEC Academic Director LATE Dr.B.Janardhan Reddy at ZP High school, Pedatadepalli by providing the fee for needy students and their necessities for study like compass boxes, books etc., and thereafter the journey of helping the needy continued uninterruptedly till date.
Students may have many thoughts in mind but the seeds of thought have sprouted to grow with great confidence by the magnanimous support of the Management.The Management of Sri Vasavi Engineering College always infuses confidence in the students by extending their heartful cooperation.
"SAHAYA" is aptly serving its motto and contributing its little part for the society. A drop may be small but many drops together form ocean. So, one hand may seem weaken but joining the hands together make many changes to step into a brighter world.
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Activities of the department towards improvement in teaching-learning are indicated in the office records as well as in college website. They are open for reproduction, for further improvement and for review.
Some of the methods adopted by the faculty members in Teaching & Learning are:
S.No | Regulation | Sem | Subject | PPT |
---|---|---|---|---|
1 | V20 | I | Problem Solving through C-Programming | download |
2 | V20 | III | Data Structures | download |
3 | V20 | III | Computer Organization and Architecture | download |
4 | V20 | III | OOP's through C++ | download |
5 | V20 | III | Managerial Economics and Financial Analysis | download |
6 | V20 | III | Mathematical Foundation Of Computer Science | download |
7 | V20 | IV | Design Analysis of Algorithms | download |
8 | V20 | IV | Java Programming | download |
9 | V20 | IV | Software Engineering | download |
10 | V20 | IV | Statistical Visualization using R Lab | download |
11 | V20 | V | Artificial Intelligence | download |
12 | V20 | V | Data Mining | download |
13 | V20 | V | Web Technologies | download |
14 | V20 | VI | Unified Modeling Language Lab | download |
S.No | Regulation | Sem | Subject | PPT |
---|---|---|---|---|
1 | V18 | I/II | Programming in C for Problem Solving | download |
2 | V18 | III | Obeject Oriented Programming for Problem Solving | download |
4 | V18 | III | Digital Electronics | download |
5 | V18 | III | Data Mining | download |
6 | V18 | IV | Computer Oraganization | download |
7 | V18 | IV | Software Engineering | download |
8 | V18 | IV | Python Programming | download |
9 | V18 | IV | Java Programming | download |
10 | V18 | IV | Formal Languages and Automata Theory | download |
11 | V18 | V | Database Management Systems | download |
12 | V18 | V | Operating Systems | download |
13 | V18 | V | Design Analysis of Algorithms | download |
14 | V18 | V | Unix Programming | download |
15 | V18 | V | Artificial Intelligence | download |
16 | V18 | V | Computer Graphics | download |
17 | V18 | V | Computer Networks | download |
18 | V18 | VI | Data Mining | download |
19 | V18 | VI | Object Oriented Analysis and Design | download |
20 | V18 | VI | Compiler Design | download |
21 | V18 | VI | Cryptography and Network Security | download |
22 | V18 | VI | Software Testing Methodologies | download |
23 | V18 | VI | Machine Learning | download |
24 | V18 | VII | Adavance Java & Web Technologies | download |
25 | V18 | VII | SNSW | download |
26 | V18 | VII | Distributed Systems | download |
27 | V18 | VII | Human-Computer interaction | download |
28 | V18 | VIII | Cyber Security | download |
29 | V18 | VIII | Software Project Management | download |
Z to A approach on 'Cloud Computing' course for final semester under graduates students based on Journal Paper titled "Cognizance and Ameliorate of Quality of Service using Aggregated Intutionistic Fuzzy C-Means Algorithm, Abettor-based model, Corroboration method and Pandect method in Cloud Computing" is discussed by Y.Divya Vani, CSE Department.-View
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