Announcements

CMR University receives Emerging University of the year by ASSOCHAM National Council at the
15th International Education Leadership & Skill Development Summit" in New Delhi

CMR University Bengaluru rated amongst "Perfect Workplaces For Women in 2022" by Artificial Intelligence
Registration and Certification, U.K.

CMR University Bengaluru receives "5-star ratings" by Artificial Intelligence Registration and Certification, U.K., and
is now one of the "Best Places to Work" in 2022.

CMR University Bengaluru secures 40th position, in the 2021 Global Impact Rankings by R World Institutional Ranking,
for contributing towards Sustainable Development Goals of the Earth.

On-line learning – ICT initiatives of MHRD and UGC

CMR University

CMR GROUP OF INSTITUTIONS

CALENDAR SUMMER IMMERSION

B.Tech | Computer Science & Engineering

Programme Overview

One of the most sought after engineering branches, Computer Science engineering incorporates concepts of both Computer engineering and Computer Science. This branch, tailor-made for the tech-savvy, properly students to learn the various underlying important aspects such as networking, programming, software development, and testing.
At CMR University, the Computer Science and Engineering (CSE) programme is designed as a bridge between both software and hardware of computers, thereby ensuring that students get to delve deep into these aspects and are equipped with system software, programming languages; and domains such as Cloud Computing, Artificial Intelligence, Machine Learning, the Internet of Things, Data Analytics, and Big Data. Automation is also a key focus area of the programme.
With CMR’s expert faculty guidance, students get to successfully take up careers as Software Engineers, Programmers, Data Scientists, Hardware Engineers and also in Research.
With Computer Science skills being in huge demand, both in India as well as globally, the career options are immense. With CMR University’s state of the art laboratories, students are fully integrated into the industry scheme of things as far as practical knowledge and exposure are concerned.

Career Opportunities

Software Developer
Computer Hardware Engineer
Web Developer
Computer Programmer
Computational Automation
Computational Research & Development

Apply now >

Programme USPs

Design Thinking pedagogies employed.
Outcome-based education (OBE) and choice based credit system (CBCS).
Emphasis on Experiential Learning.
Industry 4.0-compliant academic curriculum.
Student engagement through activity-based learning, instructor-led programmes, and customized coding/soft-skills training.
Emphasis on DIY.
Specialized Makerspace for students to innovate real-world projects through multidisciplinary collaboration.
3 specialized Internship Programmes.
Capstone projects in 7th semester (Phase-I) and 8th semester (Phase-II).
IEEE student chapter to promote student research culture.
Guidance and support for start-up initiatives. (Encouraging Idea submissions under Start-up India Scheme).
Robust placement system with pre-placement modules right from the first semester.
Provides opportunity to develop Extra curricular and Co-curricular activities in their area of interest through our “Witty Bits” CSE/IT forum.

Programme Outcomes

Engineering Knowledge Apply the knowledge of Mathematics, Science, Engineering Fundamentals, and an engineering specialization for solving complex engineering problems.

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.

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.

Conduct investigations of complex problems: Use research–based knowledge and research methods including Design of Experiments, Analysis and Interpretation of data, and synthesis of information to provide valid conclusions.

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.

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.

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.

Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the Engineering practice.

Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

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 & receive clear instructions.

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.

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.

Programme Duration

4 Years (8 Semesters)

Programme Type

Full Time

Eligibility Criteria

A pass in 2nd PUC/ 12th Grade/Equivalent Exam with English as one of the Languages with a minimum of 45% of marks in aggregate in Physics and Mathematics along with Chemistry/Biotechnology/Biology/Electronics/Computers (40% for reserved category candidates).Candidates must also have taken up the CET/COMED-K/JEE/CMRUAT entrance tests and possess valid ranks/scores.

Students having completed three-year diploma programmes, with at least 45% marks in aggregate of final year i.e. 5th and 6th Sem of diploma (40% for SC/ST/OBC) are eligible for lateral entry into the second year (3rd semester), and having taken up the DCET entrance tests with valid scores/ranks.

Programme Structure

The computer science syllabus for each semester is as given below:

I / II Semester (Physics Cycle)

Math
Physics
Element of Electrical Engineering
Element of Civil Engineering
CAED
Common Core

I / II Semester (Chemistry Cycle)

Math
Chemistry
Element of Electrical Engineering
Element of Mechanical & workshop
Element of Computer Engineering
Problem solving using Programming
Common Core

III Semester

Mathematics 3
Discrete Mathematical Structures
Data Structures Using C
Digital Logic Design
Programming using Python(P2)
Common Core

IV Semester

Mathematics 4
Computer Architecture with ALP
Database Management Systems
Theory of Computation
Object Oriented Programming with Java (P3)
Common Core

V Semester

Software Engg
Operating Systems
Data Communication
Design and Analysis of Algorithms
Open Elective I
Professional Elective I
Interdisciplinary Elective I
Common Core

VI Semester

Machine Learning
Cyber Security
Web Programming
Computer Networks
Open Elective 2
Professional Elective II
Interdisciplinary Elective II
Common Core

VII Semester

Natural Language Processing
Network Security
Mobile Application Development
Telecommunications and WAN Security
Professional Elective III
Professional Elective IV
Interdisciplinary Elective III
Common Core

VIII Semester

Project work
Industrial Internship

Open Elective I

Discrete Mathematical Structures
Data Structures using C
Object Oriented Programming
Database Management Systems

Professional Elective I

Advanced Python (P4)
Engineering Statistics and Advanced linear algebra
R Language
Soft Computing (Fuzzy, Genetic, Ontologies)
Ethical Hacking
Cryptography
Information System Security
Secure Coding
Advanced
Object Oriented Analysis Design
Scripting Languages
Kotlin (OO+Functional)
Network programming
Network Administration
Python for Networking
Client-Server Technologies

Professional Elective II

Data Mining
Artificial Intelligence
Data Preprocessing and Analysis
Big Data (P5)
Machine Learning (P5)
Software Security
Web Security
Malware analysis
J2EE Technologies
.NET Technologies
Javascript
Full Stack (P5)
Advanced Computer Networks
Wireless Technologies
Multimedia Networking

Professional Elective III & IV

Deep Learning
Computer Vision
Big Data & Data Analytics
Security in Mobile Computing
Digital Forensics
System Security
Web Technology Frameworks
Advanced JavaScript
Microservices Frameworks
Network Management
Storage Area Networks
Network Protocols

Open Elective II

Web Technology
Mobile Application Development
Machine Learning
Cyber Security

Laboratory

Data Structures Lab

The lab is equipped with 24 systems that are configured with latest Ubuntu operating system. The lab is mainly used for programming using C, C++ for courses like Data Structures, Programming with C and Analysis of Algorithms. In this lab students implement data structures like Linked List and Array List, and use them to implement sorting and other algorithms. These exercises will help them to explore the effect of data structures on the complexity of the algorithms and also create suitable data structures for a specific application

Programming with Python

The lab is equipped with 27 systems of which 3 systems areconfigured with Windows 10.0 and the rest loaded with Ubuntu operating system. It is mainly used to teach programming using python for project based course like “Programming with Python”. The objective of the lab is to make students choose libraries of available components, and to use these for building their own software.

Programming for problem solving Lab

The lab has 25 systems all of which are configured to boot either Windows 10.0 or Ubuntu operating system. It is mainly used for programming using C, C++, Java, python, Mobile Application development using Android Studio etc. This lab is also used by students to develop and implement their mini projects. Here, students acquire skills to solve computing problems useful in real-world.

Data Structures and Algorithms Lab

The lab has 22 systems, of which 10 are configured with Windows 10.0 and the rest with Ubuntu operating system. This lab is used to support programming using C, C++, Java, python, Mobile Application development using Android Studio etc. The major objective of this lab is to teach problem analysis and design of algorithms. The solution provided must also be optimum i.e., time complexity and space complexity of the solution shall be minimized.

Programming with Java Lab

The lab has 22 systems that are configured with Ubuntu operating system. It is used for programming with Java for courses like object oriented programming, programming with Java etc. Students trained in this lab are able to apply object-oriented concepts to developsoftware applications. Students are taught to design, using good design principles with consideration for software reuse and maintainability.

Database Management System Lab

The lab has 22 systems allconfigured with Ubuntu operating system. It is mainly used for developing database applications using MYSQL. The major objective of this lab is to provide a strong formal foundation in database concepts, technology and practice to the participants to groom them into proficient database application developers. The overriding concern, therefore, is to include just enough concepts and theory to motivate and enrich the practical component, and to include technology component to maximize the relevance of the course to the industry without sacrificing the long-term objectives of rigor and foundational strength that can withstand the vagaries of technological advances.

Assessment and Evaluation

The University follows Choice Based Credit System (CBCS), which provides choice for students to select from the prescribed set of courses and earn credits. Students are awarded grades based on their performance for each courses in a semester and Semester Grade Point Average (SGPA), which is a measure of academic performance of a student in a semester. Cumulative Grade Point Average (CGPA) is used as a measure of overall cumulative performance of a student over all semesters. However, the CGPA is invariably calculated from second semester onwards to facilitate students to know their academic progress.

Every Programme has a prescribed Curriculum or the Scheme of Teaching and Evaluation. It prescribes all the courses/ laboratory/ other requirements for the degree and sets out the nominal sequence semester wise. Curriculum also includes SWAYAM and Massive Open Online Courses (MOOCs), offered by premier institutions. A student desirous of additional exposure to a course, without the rigors of obtaining a good grade, ‘audits’ a course that helps him to have an edge over others in placements.

The evaluation system to assess the student is comprehensive and continuous during the entire period of Semester, by the faculty who is teaching the course. Continuous Internal Evaluation (CIE) and Semester End Examination (SEE) constitute the major evaluations prescribed for each course, with only those students maintaining a minimum standard in CIE are permitted to appear in SEE of the course. CIE and SEE to carry 50% weightage each, to enable the course to be evaluated for a total of 100 marks, irrespective of its credits.

Before the start of the Academic session of each semester, a faculty may choose for his course Internal Assessment Test and a minimum of two of the following assessment methods with suitable weightage for each: Assignments (Individual and/or Group), Seminars, Quizzes, Group Discussions, Case studies/Case lets, Practical orientation on Design Thinking, Creativity & Innovation, Participatory & Industry-integrated learning, Practical activities / problem solving exercises, Class presentations, Analysis of Industry/Technical/Business Reports, Reports on Guest Lectures / Webinars / Industrial Visits, Industrial / Social / Rural projects, Participation in Seminars/ Academic Events/Symposia, etc. or any other academic activity.

The Semester End Examination for all the courses for which students registered during the semester shall be conducted at the end of each semester. Some of the courses, where the student performance is evaluated through CIE, may not have SEE.

The makeup examination facility shall be available to those students who have appeared and failed in the SEE in one or more courses in a semester.