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Artificial Intelligence and Machine Learning

Department Profile

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.


Courses

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

Vision

Mission

PEOs

POs

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]

PSOs

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]

COs

  • Course Outcomes (V20 Regulation)-View
  • Salient Features

    • ICT enabled class rooms
    • MoUs with NIT ANP , Eduskills , Hexaware , APSSDC , Alykas Innovations Pvt.Ltd, thingTronics Pvt Ltd,Bangalore and TCS-iON.
    • College has MOU with TCS for conducting Online Competitive Exams for which our Department Resources are being utilized.
    • Professional Society memberships in ISTE and IAENG
    • Good faculty retention
    • Well Equipped Laboratories
    • Sahaya, Social Service Unit, managed by the Students.

    Artificial Intelligence and Machine Learning

    Our Faculty

    S.No. Name of the Faculty Qualification Designation Profile
    1 Dr. G. Loshma M.Tech.,Ph.D Professor & HOD view
    2 Dr. K. Srinivasa Rao M.Tech,Ph.D Asst. Professor view
    3 Mr. M.Y.Sekharam M.Tech Asst. Professor view
    4 Mr. P. Kalyan Babu M.Tech Asst. Professor view

    Our Non-Teaching

    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

    Artificial Intelligence and Machine Learning

    Board of Studies

    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
    All the Faculty Members in the AIM Dept. are Members in BOS

    Board of Studies Meeting of the Minutes:

  • Minutes of 3rd meeting of the Board of Studies, dated 26.07.2023-View
  • Minutes of 2nd meeting of the Board of Studies, dated 25.07.2022-View
  • Minutes of 1st meeting of the Board of Studies, dated 31.12.2021-View
  • Artificial Intelligence and Machine Learning

    Class Rooms

    Class Rooms with ICT Enabled Facilities-View

    Class Timetables

    Master Timetable_A.Y for Sem-II 2022-23-View

    Master Timetable_A.Y for Sem-I 2022-23-View

    Laboratories

    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


    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


    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


    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


    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


    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


    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


    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


    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


    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

    Seminar halls with ICT Enabled Facilities -View

    Artificial Intelligence and Machine Learning

    Library

    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
    Faculty Incharge
    Mr. M.V.V Krishna , Asst. Professor
    Phone: 08818-284355
    E-mail: krishna.cse@srivasaviengg.ac.in

    Artificial Intelligence and Machine Learning

    MoUs

    A.MOUs with Industries
      • MOUs were signed with various organizations to emphasize on:
            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

    Artificial Intelligence and Machine Learning

    FDP Attended

    FDP Conducted

    Artificial Intelligence and Machine Learning

    Paper Publications

    Book Publications

    Certifications

    Research Supervisors

    Patents

    Artificial Intelligence and Machine Learning

    Workshops/SOC

    Guest Lecturers/Seminars

    Artificial Intelligence and Machine Learning

    Internships

    Placements

    Conference Publications

    Roll of Honour

    GATE

    NPTEL/Other Certifications

    Community Service Project

    Artificial Intelligence and Machine Learning

    Merit Scholarships/Academic Toppers

    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

    Gallery

    Artificial Intelligence and Machine Learning

    Technical Association

    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.

  • SCUD Activities during the year 2022-23-view


  • Faculty Coordinators:
    1.Mr. M.V.V Krishna,   Asst. Professor

    Artificial Intelligence and Machine Learning

    News Letters

    • Newsletter Volume 12 Issue 3 2022-View
    • Newsletter Volume 12 Issue 2 2021-View
    • Newsletter Volume 12 Issue 1 2021-View
    • Newsletter Volume 11 Issue4 2021-View
    • Newsletter Volume 11 Issue3 2021-View
    • Newsletter Volume 11 Issue2 2020-View
    • Newsletter Volume 11 Issue1 2020-View
    • Newsletter Volume10 Issue4 2020-View
    • Newsletter Volume10 Issue3 2020-View

    CSE(Artificial Intelligence)

    Extra-Curricular Activities

    Social Services

    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.

    Faculty coordinator:
    • Mr.P. Ramamohan Rao
      Assistant Professor

    Gallery

    Artificial Intelligence and Machine Learning

    e-Resources

    Innovations by the Faculty in Teaching and Learning

    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:

    • Presentations using PPT, wherever necessary.
    • Technical videos for demonstration of certain concepts.
    • Usage of Software's like Rational Rose, R Software to demonstrate the concepts practically.
    • Use of E-Learning Resources like NPTEL lectures, Online journals and Online lectures like QEEE & MOOCS for effective learning.
    • Providing Question bank with short answer questions and quiz questions.
    • Student paper and poster presentations.
    • Student seminars.
    • Conducting peer group learning to encourage the slow learners.
    • Student participation in skill tests and technical events.
    • To incorporate real time problem solving skills we are using online tools like EBOX, EDYST etc.
    (i) Innovations in Teaching and Learning
    • Project Based Learning
    • Z TO A Approach
    • NPTEL Web and Video Courses
    • PPTs
    • Question Banks
    • Mind Map
    (ii) Tools OOLS used in Teaching and Learning
    • LMS
    • Conduira
    • PEARSON MePro
    • EBox
    • Edyst

    PPTs / Question Bank / Old Question Papers
    V20- Subjects
    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

    V18- Subjects
    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


    NPTEL Videos
    • DBMS-View
    • FLAT-View
    • DAA-View
    • DWDM-View

    • Z to A Learning Method

      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

    Artificial Intelligence and Machine Learning

    Syllabus

    • B.Tech - V20 Syllabus-View

    SOC Syllabus

    • SOC Syllabus during the Academic Year 2022-23-View

    Computer Science and Engineering

    Academic HandBooks

      Academic year 2022-23:II-Sem Handbooks
    • IV-Sem V20 Regulation Handbook-View

    • Academic year 2022-23:I-Sem Handbooks
    • III-Sem V20 Regulation Handbook-View

    Artificial Intelligence and Machine Learning

    Contact Info