Computer Science & Engineering Data Science

Our Vision

Program Outcomes

• PO I: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
• PO II: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
• PO III: Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental
  considerations.
• PO IV: 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.
• PO V: 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.
• PO VI: 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.
• PO VII: 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.
• PO VIII: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
• PO IX: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
• PO X: 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.
• PO XI: 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.
• PO XII: 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.

Program Educational Objectives

• PEO 1: Graduates will provide solutions to difficult and challenging issues in their profession by applying computer science and engineering theory and principles.
• PEO 2: Graduates have successful careers in computer science and engineering fields or will be able to successfully pursue advanced degrees.
• PEO 3: Graduates will communicate effectively, work collaboratively and exhibit high levels of professionalism, moral and ethical responsibility.
• PEO 4: Graduates will develop the ability to understand and analyse engineering issues in a broader perspective with ethical responsibility towards sustainable development.

PROGRAM SPECIFIC OUTCOMES

• PSO1: Analyze, design, develop, test and apply statistical models, tools, Mathematical foundations and management principles in the development of intelligent systems with computational solutions, make them to expert in designing the Software and hardware.
• PSO2: Apply suitable techniques and adaptive algorithms to perform data analysis and Visualization Techniques for solving complex problems and effective decision making from inter-disciplinary domains.
• PSO3: Exhibit domain knowledge and expertise for enhancing research capability to transform innovative ideas into reality with Societal Issues, Ethics, entrepreneurship and higher studies.

S.No	DESCRIPTION	YEAR – SEM	CONTENT
1	Academic Calendar	2023-24	II Academic Calendar for 2023-24 (I-SEM) III Academic Calendar for 2023-24 (I-SEM) IV Academic Calendar for 2023-24 (I1-SEM)
2	Time Tables	2023-24	II-A Year CSE Time Table 2023-24(I-SEM) III Year CSE Time Table 2023-24(I-SEM) IV- Year CSE Time Table 2023-24(I-SEM)

Academic Year: 2023-24

DEPARTMENT DEVELOPMENT COMMITTEES (DDC)

S. No	Name of faculty	Designation	Position	Parent organization
1	Dr. L. Venkateswara Reddy	HoD, Professor	Chairman	KGRCET
2	Mr. B. Ganesh	Assistant professor	Coordinator	KGRCET
3	Dr. B. Madhu	Associate Professor	Member	KGRCET
4	Mr. K. Rama Krishna Reddy	Associate professor	Member	KGRCET
5	Mrs. P. Haindavi	Assistant professor	Member	KGRCET
6	Mrs. V. Logeshwari	Assistant professor	Member	KGRCET
7	Mr.L.Govardhan	Assistant professor	Member	KGRCET

 

PROGRAM ASSESSMENT COMMITTEE (PAC)                                

S. No	Name of faculty	Designation	Position	Parent organization
1.	Dr. L. Venkateswara Reddy	HoD, Professor	Chairman	KGRCET
2.	Mr. K. Rama Krishna Reddy	Associate Professor	Coordinator	KGRCET
3.	Mr. .L. Govardhan	Assistant professor	Member	KGRCET
4.	Mr. B. Ganesh	Assistant professor	Member	KGRCET
5	Mrs. P. Haindavi	Assistant professor	Member	KGRCET

FINANCE COMMITTEE (FC)                                  

S. No	Name of faculty	Designation	Position	Signature
1.	Dr. L. Venkateswara Reddy	HoD, Professor	Chairman	KGRCET
2.	Mrs. P. Haindavi	Assistant Professor	Coordinator	KGRCET
3	Mr. K. Rama Krishna Reddy	Associate professor	Member	KGRCET
4	Mr. B. Ganesh	Assistant professor	Member	KGRCET

 

 PROJECT REVIEW COMMITTEES (PRC)                                    

S. No	Name of faculty	Designation	Position
1.	Dr. L. Venkateswara Reddy	HoD, Professor	Chairman
2	Mr. K. Rama Krishna Reddy	Associate professor	Coordinator
3.	Dr. B. Madhu	Associate Professor	Member
4	Mr. B. Ganesh	Assistant professor	Member
5	Mrs. P. Haindavi	Assistant professor	Member
6	Mrs. V. Logeshwari	Assistant professor	Member
7	Mr. .L. Govardhan	Assistant professor	Member

Achievements :

• Dr.L. Venkateshwara Reddy, Professor has Published a paper on “Bio-Inspired Firefly Algorithm for Polygonal Approximation on Various Shapes” in Journal of Intelligent Computing and Applications.
• Dr. L. Venkateshwara Reddy, Professor has Published a paper on “A Study on ‘LPWAN’ Technologies for A Drone Assisted Smart Energy Meter System In 5g-smart City lot-cloud Environment” in Journal of Applied Science and Engineering.
• Dr. L. Venkateshwara Reddy, Professor has Published a paper on “Multi Layered Architecture to Monitor and Control the Energy Management in Smart Cities” in the journal of Intelligent Computing and Applications.
• Mr. P. Naresh Kumar, Assistant Professor has Published a paper on “IoT-Based Harmful Toxic Gases Monitoring and Fault Detection on the Sensor Dataset Using Deep Learning Techniques” in the Journal of Scientific Programming.
• Mr. P. Naresh Kumar, Assistant Professor has Published a paper on “A Survey on various images analysis techniques” in the journal of AIP Conference Proceedings.
• Mr. B. Ganesh, Assistant Professor has Published a paper on “A Safe method for Big Data storage and Exchange using Multiple Cloud” in the journal of Neuro Quantology
• Dr. L. Venkateshwara Reddy, Professor has Published a paper on “Automated Deep-Learning with Wavelet Neural Network based Rice Plant Classification” in International Conference on Intelligent Data Communication and Internet of Things, Proceedings.

Certificate Course

Courses in Computer Science and Engineering vary greatly in nature. Some are studied online, and some are presented in a classroom. Many courses lead to a certificate at their completion, which can be helpful when looking for a job. Whether students are new to the world of information technology, or are seeking to advance in your existing career, completing a course can only enhance student’s options. Computer Science and Engineering (CSE) professionals may select from a wide variety of non-degree computer science certifications to demonstrate their competence in a specialty, learn valuable skills, and advance their careers. A computer science and engineering certification validates a professional’s technical knowledge and experience with specific products, methods, or practices. Roles within the computer science industry that may require certification include systems engineer, security manager, network administrator, software developer, and project manager. Because these high-paying roles involve using technical expertise to manage and protect essential operations and sensitive data, employers value — and often require — proven credentials.

Computer science certifications ask candidates to pass one or more tests. In preparing to pass these credentialing exams, professionals gain and practice certain skills. Many professionals value the process of preparing for these tests since they gain knowledge they can apply in their jobs and use to advance their careers. This course at the Best Data Science College is a forum to bring together students to discuss innovative ideas and diverse topics of this course on next generation of information technologies. Department has taken a new step for students to improve the quality of study through this course and become most wide scale , extensive, spectacular event in computer science engineering.

Objective of Certificate Course

In the field of Computer Science and Engineering, a student’s set of skills must constantly be updated and expanded. Programming languages fluctuate in popularity from year to year, and new advances are made in networking and security technology. The completion of a short course or certificate program demonstrates knowledge of the latest tools and concepts, and can lend a distinct advantage in a competitive job market. Computer Science and Engineering courses are offered at KG Reddy College of Engineering and Technology – renowned as one of the Best Colleges for Data Science. It is easy to find appropriate courses in area of interest. Students can choose from specialized topics including programming languages, networking, computer security, and multimedia development, Artificial Intelligent, cloud computing, Machine Learning etc. These courses of study can often be taken individually; other times, they are offered in conjunction with a degree program.

Scope of the Course

Depending upon the interest the career in IT can be chosen. Those who love programming and coding can do software engineering and those who prefer networking and system administration, can do hardware engineering. IT sector is quite broad in terms of employment and job options. Roles are varieties for Computer engineers in IT sector, but their primary role is to apply the knowledge of mathematics and science to design and develop software to be used by clients or users. There are network engineers, system management professionals besides the computer engineers. Computer software engineers have bright career prospects as the application of software and dependency on it in various walks of life are increasing. After completion of certificate course at B.Tech. in Data Science college, they can gain much more knowledge based on latest technology which are available in IT sector. Thus it helps to them to make their bright carrier in different directions such as (a) an software engineer, (b) Researcher, (c) great academician, (d) make own software industry, (e) system administration etc.

Value Added Course

The Department of Computer Science and Engineering is organizing the value-added courses to all the students at every semester during their regular course. These courses are offered by the department to provide additional skills and to incorporate industry-oriented training for students. These courses at Data Science Engineering College will be delivered as hands on training and will not be conducted in regular class room mode. This would help the students to acquire practical knowledge on latest technology and tools. These courses shall be offered for minimum of 30 theories and practical hours’ duration in every semester. This course will be offered fully or partly at our Data Science engineering college institution, industry and R&D labs by faculty members of KGRCET, experts from industries and R&D establishments. Every Student should opt for minimum of four ‘one credit’ courses in addition to the prescribed curriculum.

Objective of Value-Added Course

The objective of this course is to equip the students in current technologies and also to reduce the gap between academic and industry. The main objectives of the course are:

1. To provide students an understanding of the expectations of industry.
2. To improve employability skills of students
3. To bridge the skill gaps and make students industry ready.
4. To provide an opportunity to students to develop inter-disciplinary skills.

 

Scope of the Course

After getting this course, computer engineers can get jobs in non-IT companies like universities, research, private and public industries, government departments, business organizations, commercial organizations and the manufacturing sector, etc. Besides the Computer Engineers have plenty of options to work in IT companies in departments such as design, development, assembly, manufacture and maintenance, etc. Working as programmer, web developer, and E- commerce specialist with telecommunications companies, automotive companies, aerospace companies, etc. can be a lucrative career option as well. Moreover, numerous national and multi-national computer manufacturing companies, computer hardware system design and development companies, computer networking companies, software development companies, etc. require computer professionals in large numbers.