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B.Tech-CSE

B.Tech-Computer Science and Engineering(CSE)

  • Teacher
  • Category
    Bachelor of Technology
  • Review
    • (20 Reviws)
Courses
Course Summary

The Department of Computer Science and Engineering (CSE) was established in the year 2008 with an intake of 90. Over the years, it has grown by leaps & bounds and the current intake is 120. The department also offers an M.Tech Program in Computer Science and Engineering with an intake of 24. It has great potential with well qualified and committed teaching & non-teaching faculty members, headed by Dr.M.Jahir Pasha, the department has been part of various professional bodies like CSI, IUCEE, etc.

Vision:

To become a Centre of Excellence in Computer Science and Engineering by imparting high-quality education through teaching, training, and research.

Mission:
  • Providing a strong theoretical and practical background across the computer science discipline with an emphasis on software development.

  • Empowering the students with the required skills to solve complex technological problems.

  • To impart moral, ethical values, and interpersonal skills to the students.

Head of the Department:
Instructor
Dr M Jahir Basha
Professor & Head

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PROGRAMME EDUCATIONAL OBJECTIVES (PEO's)
PEO's Description
PEO1

Graduates of the program will have strong fundamental knowledge in Computer Science and Engineering, technical proficiency, and problem-solving skills to develop pioneering solutions.

PEO2

Graduates of the program will have the necessary domain knowledge and a successful professional career in IT and associated fields of Computer Science and Engineering.

PEO3

Graduates of the Computer Science and Engineering program will exhibit teamwork good communication skills and high patterns of discipline in their profession.

PROGRAM SPECIFIC OUTCOMES (PSO's)
PSO's Description
PSO1

Accomplish the ability to design, develop and implement computer programs and use knowledge in various domains.

PSO2

Ability to get employment in different environments related to the software industry.

PROGRAMME OUTCOMES(PO's)
PO's Outcome Description
PO1 Engineering Knowledge

Apply knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of complex Computer Science and engineering problems.

PO2 Problem Analysis

Identify, formulate, review research literature and analyze complex engineering problems in Computer Science and Engineering reaching substantiated conclusions using first principles of mathematics, natural sciences and engineering sciences.

PO3 Design / Development of Solutions

Design solutions for complex engineering problems and design system components or processes of Computer Science and Engineering that meet the specified needs with appropriate consideration for public health and safety, cultural, societal and environmental considerations.

PO4 Conduct Investigations of Complex Problems

Use research-based knowledge and research methods including design of experiments in Computer Science and Engineering, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5 Modern tool usage

Create, select and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities related to Computer Science and Engineering with an understanding of the limitations.

PO6 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 in Computer Science and Engineering.

PO7 Environment and sustainability

Understand the impact of the professional engineering solutions of Computer Science and Engineering in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8 Ethics

Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9 Individual and Team Work

Function effectively as an individual and as a member or leader to diverse teams, and in multidisciplinary settings.

PO10 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 report and design documentation, make effective presentations, and give and receive clear instructions.

PO11 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.

PO12 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.

photo Name of the faculty Dr M Jahir Pasha
Designation Professor & Head
Qualifications M.Tech, Ph.D
Research Interest Software Engineering
photo Name of the faculty Dr. D William Albert
Designation Professor
Qualifications M.Tech, Ph.D
Research Interest Software Engineering
photo Name of the faculty Dr. R Basheer Mohamed
Designation Professor
Qualifications M.Tech, Ph.D
Research Interest Software Engineering
photo Name of the faculty Dr. K Venkata Ramana
Designation Professor
Qualifications M.Tech, Ph.D
Research Interest Software Engineering
photo Name of the faculty Kishore K
Designation Assistant Professor
Qualifications M.Tech, (Ph.D)
Research Interest Data Science and Machine Learning
photo Name of the faculty R Anil Kumar
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
photo Name of the faculty MD Asim
Designation Assistant Professor
Qualifications M.Tech
Research Interest Computer Networks
photo Name of the faculty J Mohan Kumar
Designation Assistant Professor
Qualifications M.Tech, (Ph.D)
Research Interest Computer Networks
photo Name of the faculty D Wasiha Tasneem
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
photo Name of the faculty M Prathap
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
photo Name of the faculty M Mahaboob Peera
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
photo Name of the faculty C Guru Sunanda
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
photo Name of the faculty K Swetha
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
photo Name of the faculty A Hari Priya
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
photo Name of the faculty N Somanna
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
photo Name of the faculty V Muni Babu
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
photo Name of the faculty M Lakshmi
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
photo Name of the faculty V Sujatha
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
photo Name of the faculty D Lakshmi Renuka Devi
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
photo Name of the faculty C Maddilety
Designation Assistant Professor
Qualifications M.Tech, (Ph.D)
Research Interest Big Data
photo Name of the faculty C Ishaq Shareef
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
photo Name of the faculty S Rumana Firdos
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
photo Name of the faculty M Shaheda Begum
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
photo Name of the faculty N Vasavi
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
photo Name of the faculty J K Supriya
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
photo Name of the faculty S Sabiya Sultana
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
photo Name of the faculty T Murali Krishna
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
photo Name of the faculty A V Rama Krishna Reddy
Designation Assistant Professor
Qualifications M.Tech
Research Interest Machine Learning
Infrastructure
photo Programming Lab

Equipped with DELL latest configured DESKTOP PC’s with licensed software that enables the students to program in C language. It covers various concepts of C programming language, searching and sorting algorithms, stacks and queues. It gives Ability to develop C programs for computing and real-life applications using basic elements like control statements, arrays, functions, pointers and strings, and data structures like stacks, queues and linked lists.

photo Operating Systems and DBMS Lab

This lab provides knowledge on data pre-processing, Classification, clustering and Association rule extraction. It deals with the various types of attributes. Accuracy is compared by using different algorithms. Visualization is also displayed for the given data mining functionality.

photo Cloud Computing and Web Technologies Lab

Lab is equipped with DELL Intel Core i3 7th Gen Systems installed with Ubuntu that supports Open Source Tools for web designing and Socket Programming. The systems are also installed with PHP, WEKA, R and domain related application software to facilitate the students in completing Preliminary works.

photo DWDM and MAD Lab

Equipped with latest configured systems that enables the students to model systems using Rational Rose and to build Data warehouses using Informatics. The systems are loaded with required software to practice regular lab sessions and for database related projects.

photo ELCS LAB

The main aim of this lab is to improve Communication Skills in formal and informal situations. It is also to impart training to students through the syllabus in its theoretical aspects and practical components. The lab is equipped with Advanced Systems which has high quality audio & video capabilities.

photo Projects Lab

The lab is equipped with HCL Core2Duo Desktop PC’s and application Software. This lab is utilized by Students for their project works and also to support ongoing industrial technicalities.

photo Achivement Name
Equipped with DELL latest configured DESKTOP PC’s with licensed software that enables the students to program in C, C++, and JAVA etc. It supports Client-Server Computing using J2SE and Window Application development using .NET.
photo Achivement Name
Equipped with DELL latest configured DESKTOP PC’s with licensed software that enables the students to program in C, C++, and JAVA etc. It supports Client-Server Computing using J2SE and Window Application development using .NET.

Course Features

  • Duaration : 4 Years
  • Entry Level : Intermediate
  • CET Code : ASKW
  • Students : 120
Fee : Rs.41,800 Enroll Now

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