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About Department

The Department of Computer Science was established in the year 2001-02. It administers Two Under Graduate programs in Computer Science with the combinations Mathematics, Physics, Computer Science and Mathematics, Chemistry, Computer Science.
Department continuously strives hard to strengthen the technical skills of the students by conducting several workshops, seminars and guest lecturers along with regular curricular activities. Our department has come up with many digital initiatives like Online Teaching, Organizing inhouse FDP's on digital tools, Online Certificate Courses, designing LMS, Virtual Classrooms, participating in live Manatv classes, etc. Various online open tools like Google Class Rooms, Google forms, Plickers, etc are being used for regular class room teaching-learning-evaluation process.
Department is having skilled and committed faculty. Currently the department is having 3 regular faculty members. They are publishing their research articles in various reputed journals and conferences.

Staff

Teaching Staff
S.No
Name
Designation
Qualification
Photo
Curricullum Vitae
1 Sri Niranjan Mulaveesala Lecturer In-Charge M.Tech View CV
2 Sri A Anil Babu Guest Lecturer MCA
2 Sri T Venkata Narayana Guest Lecturer MCA


Non Teaching Staff
S.No
Name
Designation
Qualification
01 Ch. Chittibabu Record Assistant B.A.

Programmes Offered

S.No

Year of Starting

Title of the Program

LEVEL (UG, PG)

Duration (Years)

Sanctioned Annual Intake

1

2001

B.Sc (Mathematics, Physics, Computer Science)

UG

3

50

2

2015

B.Sc (Mathematics, Chemistry, Computer Science)

UG

3

60

3

2021

B.Com. (Computer Applications)

UG

3

30

4

2022

M.Sc. (Computer Science)

PG

2

30
Course Outcomes



Course Outcomes

Academic Year:2019-2020
Semester: I Sem
Class : I B.Sc. MPCs & MCCs
Subject: Computer Fundamentals & Photoshop

Course Objectives:
This course will introduce fundamentals of computers and some of the basic concepts of Adobe Photoshop like Photoshop environment, Photoshop Toolbox, etc.
Course Outcomes:
To explore basic knowledge on computers and Photoshop’s beauty from the practical to the painterly artistic and to understand how Photoshop will help you create your own successful images

 

Academic Year : 2019-2020
Semester: II Sem
Class : I B.Sc.MPCs & MCCs
Subject: Programming in C

Course Objectives:

  1. Learn how to solve common types of computing problems.
  2. Learn data types and control structures of C
  3. Learn to map problems to programming features of C.
  4. Learn to write good portable C programs.

Course Outcomes:
Upon successful completion of the course, a student will be able to:

  1. Appreciate and understand the working of a digital computer
  2. Analyze a given problem and develop an algorithm to solve the problem
  3. Improve upon a solution to a problem
  4. Use the 'C' language constructs in the right way
  5. Design, develop and test programs written in 'C'

 

Academic Year : 2019-2020
Semester: III Sem
Class : II B.Sc. – MPCs & MCCs
 Subject: Object Oriented Programming Using JAVA

Course Objectives:
As the business environment becomes more sophisticated, the software development (software engineering is about managing complexity) is becoming increasingly complex. As of the best programming paradigm which helps to eliminate complexity of large projects, Object Oriented Programming (OOP) has become the predominant technique for writing software in the past decade. Many other important software development techniques are based upon the fundamental ideas captured by object-oriented programming.

Course Outcomes:
At the end of this course student will:

  1. Understand the concept and underlying principles of Object-Oriented Programming
  2. Understand how object-oriented concepts are incorporated into the Java programming language
  3. Develop problem-solving and programming skills using OOP concept
  4. Understand the benefits of a well structured program
  5. Develop the ability to solve real-world problems through software development in high-level programming language like Java
  6. Develop efficient Java applets and applications using OOP concept
  7. Become familiar with the fundamentals and acquire programming skills in the Java language.

 

Academic Year : 2019-2020
Semester: IV Sem
Class : II B.Sc. MPCs & MCCs
 Subject: Data Structures

Course Objectives:
To introduce the fundamental concept of data structures and to emphasize the importance of data structures in developing and implementing efficient algorithms.

Course Outcomes:
At the end of this course student will:

  1. Describe how arrays, records, linked structures, stacks, queues, trees, and graphs are represented in memory and used by algorithms
  2. Describe common applications for arrays, records, linked structures, stacks, queues, trees, and graphs.
  3. Write programs that use arrays, records, linked structures, stacks, queues, trees, and graphs
  4. Demonstrate different methods for traversing trees
  5. Compare alternative implementations of data structures with respect to performance
  6. Compare and contrast the benefits of dynamic and static data structures implementations
  7. Describe the concept of recursion, give examples of its use, describe how it can be implemented using a stack.
  8. Discuss the computational efficiency of the principal algorithms for sorting, searching, and hashing.

 

Academic Year : 2019-2020
Semester: V Sem
Class : III B.Sc. MPCs & MCCs
Subject: Data Base Management Systems

Course Objectives:

Design & develop database for large volumes & varieties of data with optimized data processing techniques.

 

Course Outcomes:
At the end of this course student will:

  1. Design and model of data in database.
  2. Store, Retrieve data in database.

 

Academic Year : 2019-2020
Semester: V Sem
Class : III B.Sc. MPCs & MCCs
Subject: Software Engineering

Course Objectives:

The Objective of the course is to assist the student in understanding the basic theory of software engineering, and to apply these basic theoretical principles to a group software development project.

 

Course Outcomes:

  1. Ability to gather and specify requirements of the software projects.
  2. Ability to analyze software requirements with existing tools
  3. Able to differentiate different testing methodologies
  4. Able to understand and apply the basic project management practices in real life projects
  5. Ability to work in a team as well as independently on software projects

 

Academic Year : 2019-2020 
Semester: VI Sem
Class : III B.Sc. – MPCs & MCCs
 Subject: Web Technologies

Course Objectives:

  1. To provide knowledge on web architecture, web services, client side and server side scripting technologies to focus on the development of web-based information systems and web services.
  2. To provide skills to design interactive and dynamic web sites.

 

Course Outcomes:

  1. To understand the web architecture and web services.
  2. To practice latest web technologies and tools by conducting experiments.
  3. To design interactive web pages using HTML and Style sheets.
  4. To study the framework and building blocks of .NET Integrated Development Environment.
  5. To provide solutions by identifying and formulating IT related problems.

 

Academic Year : 2019-2020
Semester: VI Sem
Class : III B.Sc. MPCs & MCCs (Cluster1)
Subject: Foundations of Data Science (A1)

Course Objectives:

Modern scientific, engineering, and business applications are increasingly dependent on data, existing traditional data analysis technologies were not designed for the complexity of the modern world. Data Science has emerged as a new, exciting, and fast-paced discipline that explores novel statistical, algorithmic, and implementation challenges that emerge in processing, storing, and extracting knowledge from Big Data.

Course Outcomes:
At the end of this course student will:

  1. Able to apply fundamental algorithmic ideas to process data.
  2. Learn to apply hypotheses and data into actionable predictions.
  3. Document and transfer the results and effectively communicate the findings using visualization techniques.

 

Academic Year : 2019-2020
Semester: VI Sem
Class : III B.Sc. MPCs & MCCs (Cluster1)
Subject: Big Data Technology (A2)

Course Objectives:

The Objective of this course is to provide practical foundation level training that enables immediate and effective participation in big data projects. The course provides grounding in basic and advanced methods to big data technology and tools, including MapReduce and Hadoop and its ecosystem.

Course Outcomes:
At the end of this course student will:

    • Learn tips and tricks for Big Data use cases and solutions.
    • Learn to build and maintain reliable, scalable, distributed systems with Apache Hadoop.
    • Able to apply Hadoop ecosystem components.
Programme Specific Outcomes : B.Sc. - MPCs & MCCs

PSO1: Ability to apply Foundations of Mathematics, Principles of Physics and theory of Computer Science in solving the real world problems.

PSO2: Ability to choose, create and apply the appropriate techniques, resources and tools to predict and model complex situations within the scope and boundaries of the situation.

PSO3: Create, select, and apply appropriate techniques, resources, and modern IT tools including prediction and modeling to complex activities with an understanding of the limitations.

PSO4: Exhibit comprehension and understanding of the programmes and apply them in a multidisciplinary environment.

PSO5: Communicate effectively on various activities and make effective presentations.

Curricular Plans

Department Activities

Activities for Academic Year 2022 - 2023

Seminars   Quizzes
Assignments   Remedial Classes


Activities for Academic Year 2021 - 2022

Assignments   Seminars
Extension Activities   Remedial Classes
Quizzes  


S.No Date Conducted By Name of The Activity Details of Resource Person No of Participants Report
01 25-10-2021
to
25-12-2021		 Computer Science CISCO Networking Academy
Certificate Course
on
Networking Essentials		 G. Raviteja 84 Click Here
02 02-12-2021 Computer Science Online Quiz
on
World Computer Literacy Day		 Computer Science Faculty 664 Click Here
03 28-12-2021 Computer Science Guest Lecture
on
Data Mining		 K. Naga Sireesha
Asst Prof
SJCW (A)
Visakhapatnam		 39 Click Here
04 30-12-2021 Computer Science Student
Seminar Day		 Computer Science Faculty 60 Click Here
05 01-01-2022 Computer Science Release
of
Calendar 2022		 Computer Science Faculty Staff & Students Click Here
06 03-01-2022
to
07-01-2022		 Computer Science Crash Course
on
Fundamentals of IT		 Computer Science Faculty 56 Click Here
07 03-01-2022
to
03-02-2022		 Computer Science CISCO Networking Academy
Certificate Course
on
Introduction to IoT		 G. Raviteja 71 Click Here
08 04-02-2022 Computer Science Facebook Day Computer Science Faculty 69 Click Here
09 28-02-2022 Computer Science Seminar Day Computer Science Faculty 69 Click Here
10 15-02-2022
to
15-03-2022		 Computer Science CISCO Networking Academy
Certificate Course
on
CCNA Module 1 		G. Raviteja 51 Click Here
11 19-02-2022
to
19-03-2022		 Computer Science CISCO Networking Academy
Certificate Course
on
Introduction to Cyber Security		 G. Raviteja 43 Click Here
12 23-03-2022 Computer Science TechSavvy Mr. D. Ramesh
III B.Sc- MPCS		 48 Click Here
13 15-03-2022
to
15-04-2022		 Computer Science CISCO Networking Academy
Certificate Course
on
CCNA Module 2 		G. Raviteja 47 Click Here
14 15-04-2022
to
15-05-2022		 Computer Science CISCO Networking Academy
Certificate Course
on
CCNA Module 3 		G. Raviteja 35 Click Here



Activities for Academic Year 2020 - 2021

Assignments   Quizzes
Remedial Classes   Seminars




Activities for Academic Year 2019 - 2020

Assignments   Quizzes
Remedial Classes   Seminars




Activities for Academic Year 2018 - 2019

Assignments   Quizzes
Remedial Classes   Seminars




Activities for Academic Year 2017 - 2018

Assignments   Quizzes
Remedial Classes   Seminars


Publications

S.NO Title of paper Name of the author/s Department Name of journal Year of Publication ISBN / ISSN number DOI Link
1 Unsupervised linear contact distributions segmentation algorithm for land cover high resolution panchromatic images. A.V. Kavitha,
Dr. A.Srikrishna and
Dr. Ch. Satyanarayana		 Computer Science Multimedial Tools and Applications (Web of science - SCI indexed Springer publications) 2020 ISSN 1380-7501 https://doi.org/10.1007/s11042-018-6693-y
2 Crop image classification using spherical contact distributions from remote sensing images. A.V. Kavitha,
Dr. A.Srikrishna and
Dr. Ch. Satyanarayana		 Computer Science Jounal of King soudh University – Computer and Information sciences (Web of science - ESCI indexed and Scopus indexed) 2020 ISSN 1319-1578 https://doi.org/10.1016/j.jksuci.2019.02.008
3 Classification of Land cover from Remote sensing images using Morphological Linear contact distributions and Rough Sets. A.V. Kavitha,
Dr. A.Srikrishna
and
Dr. Ch. Satyanarayana		 Computer Science International journal of Recent technology and Engineering (Scopus indexed) 2020 ISSN: 2277-3878 https://doi.org/10.35940/ijrte.B2822.098319
4 An Efficient Network Intrusion Detection System Using Prospective Backward Oracle Matching Algorithms: An Architectural Approach G. Raviteja Computer Science International Journal of Computer Information Systems and Industrial Management Applications (Scopus Indexed) 2020 ISSN 2150-7988 Click Here
5 Unsupervised linear contact distributions segmentation algorithm for land cover high resolution panchromatic images. A.V. Kavitha,
Dr. A.Srikrishna and
Dr. Ch. Satyanarayana		 Computer Science Multimedial Tools and Applications (Web of science - SCI indexed Springer publications) 2020 ISSN 1380-7501 Click Here
6 An efficient texture feature extraction algorithm for high resolution land cover remote sensing image classification. A.V. Kavitha,
Dr. A.Srikrishna
and
Dr. Ch. Satyanarayana		 Computer Science International journal of image, graphics and signal processing (IJIGSP) 2018 ISSN: 2074-9082  Click Here
Department Meeting Minutes



Meeting Minutes for Academic Year 2021-2022
Result Analysis











Syllabus

B.Sc., Honours in Computer Science MAJOR w.e.f AY 2023-24



Syllabus

B.Com. Computer Applications (Major) w.e.f AY 2023-24



Syllabus

REVISED SYLLABUS OF B.Sc.(COMPUTER SCIENCE) UNDER CBCS FRAMEWORK WITH EFFECT FROM 2020-2021



REVISED SYLLABUS OF B.Sc.(COMPUTER SCIENCE) V SEMESTER UNDER CBCS FRAMEWORK WITH EFFECT FROM 2020-2021



REVISED SYLLABUS OF B.Com (COMPUTER APPLICATIONS) UNDER CBCS FRAMEWORK WITH EFFECT FROM 2020-2021



REVISED SYLLABUS OF B.Com (COMPUTER APPLICATIONS) V SEMESTER UNDER CBCS FRAMEWORK WITH EFFECT FROM 2020-2021



SYLLABUS OF B.Sc.(COMPUTER SCIENCE) UNDER CBCS FRAMEWORK WITH EFFECT FROM 2015-2016

Contact Us

Sri. M Niranjan

In-Charge of Computer Science Department

computers[at]abrgdcrepalle.ac.in

Best Practices