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CSE(Data Science)

Department Profile

The Department of Computer Science and Engineering(Data Science) came into inception from 2024 onwards with an intake of 60 seats in B.Tech.


Courses

Sl.No Name of the Course Eligibility Criteria Duration Intake
UG Programmes
1 B.Tech-CSE(Data Science) AP EAPCET 4 Years 60

Vision

To evolve as a centre for academic and research excellence in the area of Artificial Intelligence.

Mission

To utilize innovative learning methods for academic improvement.

To encourage higher studies and research to meet the futuristic requirements of Artificial Intelligence and Machine Learning.

To inculcate Ethics and Human values for developing students with good character.

PEOs

Graduates of CSE(AI) programme will::

1. Adapt to evolving technology.

2. Provide optimal solutions to real time problems.

3. Demonstrate his/her abilities to support service activities with due consideration for Professional and Ethical Values.

POs

CSE (Artificial Intelligence) Graduates will be able to :

1. Engineering knowledge:Apply the knowledge of Mathematics, Science, Engineering Fundamentals and Concepts of Artificial Intelligence 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, CSE (Artificial Intelligence). [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 CSE(Data Science) 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
    • Maitri, Social Service Unit, managed by the Students.

    CSE(Data Science)

    Our Faculty

    S.No. Name of the Faculty Qualification Designation Profile
    1 Dr. G. Loshma B.E.,M.Tech.,Ph.D. Professor & Head view
    2 Mr. R.L.Phani Kumar M.Tech Sr. Asst. Professor view
    3 Mr. P. V. V Satya Narayana M.Tech Sr. Asst. Professor view
    4 Mrs. V. Radha M.Tech Asst. Professor view
    5 Mr. Sk. Moulali M.Tech Asst. Professor view
    6 Mrs. P. Ujwala Sai M.Tech Asst. Professor view
    7 Ms. M. Kiranmai M.Tech Asst. Professor view
    8 Mr .V. Thinakaran M.Tech Asst. Professor view
    9 Mr. P Seshu Kumar M.Tech Asst. Professor view
    10 Mr. Reddy Chaitanya A M.Tech Asst. Professor view
    11 Mr.Nisanth N S M.Tech Asst. Professor view
    12 Mr. M.Sreenivasulu M.Tech Asst. Professor view
    13 Mr. V. V Bhargav Bikkani M.Tech Asst. Professor view
    14 Mr. V. Jayaramakrishna M.Tech Asst. Professor view

    Our Technical Staff

    S.No. Name of the Staff Designation
    1 Mr. K.N. Suresh System Admin
    2 Ms. BNG Lakshmi Durga Programmer
    3 Mr. K.V Srinivasa Rao Hardware Technician
    4 Mr. G.Bhanu Prakash Hardware Technician
    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. B. Abaddalu Lab Technician
    11 Mr. S. Nagaraju Programmer

    Our Non-Teaching Staff

    S.No. Name of the Staff Designation
    1 Mr. N.Rajasekhar Junior Assistant
    2 Mrs. Prasanna Attender

    CSE(Data Science)

    Board of Studies

    S.NO NAME OF THE BOS MEMBER DESIGNATION ORGANIZATION POSITION
    1 Dr. G. Loshma Professor & HOD SVEC Chairperson
    2 Dr. L. Sumalatha Professor, CSE UCEK, JNTUK University
    Nominee
    3 Dr. R. B. V Subrahmanyam Professor, CSE NITW-TG Academic
    Expert
    4 Dr. K. Himabindu Dean, Student Welfare NIT-AP Academic
    Expert
    5 Mr. Ch. Pavan Kumar Delivery Partner/Solution Architect Tata Consultancy Services,
    Hyderabad
    Industry
    Expert
    6 Mr. N. Sattibabu Lead Consultant Infosys Limited, Hyderabad Alumni
    7
    All the Faculty Members in the CSE(DS) Dept. are Members in BOS

    Board of Studies Meeting of the Minutes:

    CSE(Data Science)

    Class Rooms

    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 No.of Systems
    1 James Gosuling
    Lab
    Model : Acer Vertion M200
    Processor : Intel® Core™ i3-7100 CPU @ 3.90 GHz
    4.00GB RAM, 1TB HDD
    System type : x64 – based Processor
    Monitor : 18.5” LED Monitor
    Keyboard : Multimedia Keyboard
    Mouse : Optical Scroll Mouse
    50
    2 Model : DELL OPTI PLEX 3070
    Processor : Intel® Core™ 2 i3-9100 CPU @ 3.60 GHZ
    8.00 GB RAM, 1 TB HDD
    System type : x64 – based Processor
    Monitor : 20.5” TFT Monitor
    Keyboard : Multimedia Keyboard
    Mouse : Optical Mouse
    22
    3 Model : ASUS VIVO AIO V222 GAR_V333GA
    Processor : Intel® Pentium®Silver J5040
    8.00 GB RAM, 256.00 GB SSD
    System type : x64 – based Processor
    Monitor : 21.5” TFT Monitor
    Keyboard : Multimedia Keyboard
    Mouse : Optical Mouse
    02


    S.No Name of the Lab Configuration No.of Systems
    1 E.F.CODD
    Lab
    Model : HP Pro Tower 280 G9 PCI
    Processor : Intel® Core™ i5-12400 CPU @ 2.50 GHz
    16.00 GB RAM, 256.00 GB SSD
    System type : x64 – based Processor
    Monitor : 19.5” LED Monitor
    Keyboard : Multimedia Keyboard
    Mouse : Optical Mouse
    70
    2 Model : ACER Vertion Desktop
    Processor : Intel® Core™ i5-7400 CPU @ 3.00 GHz
    4.00 GB RAM, 1.00 TB HDD
    System type : x64 – based Processor
    Monitor : 19.5” LED Monitor
    Keyboard : Multimedia Keyboard
    Mouse : Optical Mouse
    4


    S.No Name of the Lab Configuration No.of Systems
    1 Linus Torvalds
    Lab
    Model : HP 280PRO G9 Micro Tower
    Processor : Intel core TM i3-10100 CPU@3.64 GHZ
    8.00 GB RAM, 256.00 GB SSD
    System type : x64 – based Processor
    Monitor: 19.5" LED Monitor
    Keyboard: Multimedia Keyboard
    Mouse: Optical Mouse
    72
    2 Model : ACER Vertion Desktop
    Processor : Intel® Core™ i5-7400 CPU @ 3.00 GHz
    4.00 GB RAM, 1.00 TB HDD
    System type : x64 – based Processor
    Monitor : 19.5” LED Monitor
    Keyboard : Multimedia Keyboard
    Mouse : Optical Mouse
    2


    S.No Name of the Lab Configuration No.of Systems
    1 PG CP Lab Model : Acer Vertion Desktop System
    Processor :Intel® Core™ 2 i3-8100 CPU @ 2.65 GHZ
    8.00 GB RAM, 1.00 TB HDD
    System type : x64 – based Processor
    Monitor : 21.5" LED Monitor
    Keyboard : Multimedia Keyboard
    Mouse : Optical Mouse
    71
    2 Model : Acer Vertion Desktop System
    Processor :Intel® Core™ i5-7400 CPU @ 3.00 GHz
    4.00 GB RAM, 1.00 TB HDD
    System type : x64 – based Processor
    Monitor : 19.5" LED Monitor
    Keyboard : Multimedia Keyboard
    Mouse : Optical Mouse
    2


    S.No Name of the Lab Configuration No.of Systems
    1 R&D Lab Model : Acer Vertion Desktop System
    Processor :Intel® Core™ i5-7400 CPU @ 3.00 GHz
    4.00 GB RAM, 1.00 TB HDD
    System type : x64 – based Processor
    Monitor : 19.5" LED Monitor
    Keyboard : Multimedia Keyboard
    Mouse : Optical Mouse
    05
    2 Manufacturer/Model : Dell 7D49KQR
    Processor : Intel® Core™ 2 i5-7400 CPU @ 3.00 GHZ
    4.00 GB RAM, 1.00 TB HDD
    System type : x64-based processor
    Monitor : 21.5” LED Monitor
    Keyboard : Multimedia keyboard
    Mouse : Optical Mouse
    15


    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

    CSE(Data Science)

    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

    CSE(Data Science)

    MoUs

    CSE(Data Science)

    FDP Attended

    CSE(Data Science)

    Conference

    Journal Publications

    Certifications

    Research Supervisors

    Patents

    CSE(Data Science)

    Workshops

    SOC

    Guest Lecturers/Seminars

    CSE(Data Science)

    Global Certifications

    Virtual Internships

    Conference/Journal Publications

    Student Research Projects

    NPTEL/Other Certifications

    Community Service Project

    CSE(Data Science)

    Academic Toppers

    For encouraging academic achievers, every year our College Management provides cash prizes to the Academic toppers of every semester and every section.


    CSE(Data Science)

    Technical Association

    CSE(Data Science)

    Extra-Curricular Activities

    Social Services

    CSE(Data Science)

    Hackathons

    CSE(Data Science)

    Syllabus

    CSE(Data Science)

    Academic HandBooks

    CSE(Data Science)

    Contact Info

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