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B.Tech | Computer Science & Engineering with Specialization in Data Science, Artificial Intelligence and Machine Learning, Virtual Reality and Augmented Reality, Networking, BlockChain, Networking and Cloud Management , Application Development, Internet of Things, Big Data with Spark

Programme Overview  |  Programme USPs  |  Programme Educational Objectives  |  Programme Outcomes  |  Eligibility Criteria  |  Programme Structure  |  Laboratory  |  Assessment and Evaluation

Programme Overview

  • One of the most sought after engineering branches, Computer Science engineering incorporates both Computer engineering and Computer Science. Tailor-made for the tech-savvy, students get to learn the various underlying important aspects such as networking, programming, software development, and testing.
  • CMR University’s 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. Importantly, practical knowledge is highly sought after, and 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

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Programme USPs

  • Well structured curriculum to bridge industrial needs.
  • Qualified and dedicated faculty team.
  • Good infrastructure including domain-specific laboratories.
  • Offering project based courses in recent trends.
  • Softskills and Personality development training from 1st sem onwards.
  • Option to choose domain specific courses from 4th sem onwards through various electives offered in curriculum.
  • Effective placement team for training and placements.
  • Provides opportunity to develop Extra curricular and Co-curricular activities in their area of interest through our “Witty Bits” CSE/IT forum.
  • Complete support in Online learning and certifications.
  • Industry personnel interaction support through Internship, Projects, Webinars, Seminar, Guest lecture, etc.,
  • Industry oriented hands on training/ Workshops will be arranged for enhanced practical skills in trends and technologies.
 

Programme Educational Objectives

  • To excel in professional careers by acquiring knowledge in Mathematics, Science and Computer Science and Engineering principles to analyse real-world problems and propose solutions that are economically feasible and socially acceptable.
  • To adapt technological advancements by engaging in lifelong learning with leadership qualities, professional ethics and soft skills.
  • To work productively as successful Computer professionals in diverse career paths including supportive and leadership roles on multidisciplinary teams or be active in higher studies.
 

Programme Outcomes

  • Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization to the solution of 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 the 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 and 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.
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    Programme Duration

    4 Years (8 Semesters)

    Programme Type

    Full Time

    Eligibility Criteria

    Candidate who has Passed 2nd PUC / 12th Grade / Equivalent Exam with English as one of the Languages and obtain a minimum of 45% of marks in aggregate in Physics and Mathematics along with Chemistry / Biotechnology / Biology / Electronics / Computers (40% for reserved category candidates). Candidate must also qualify in one of the following entrance exams:- AIEEE / JEE / CET / COMED-K / CMRUAT or any other equivalent entrance examination conducted by recognized Institution / Agency.

    For Diploma Holders
    Diploma holders in Engineering with a minimum of 50% marks in the final examination, conducted by the Board of Technical Examination, Government of Karnataka or its equivalent, are eligible for admission to the corresponding branch of Second Year Engineering.

     

    Programme Structure

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

     

    I / II Semester (Physics Cycle)

    I / II Semester (Chemistry Cycle)

    III Semester

    IV Semester

    V Semester

    VI Semester

    VII Semester

    VIII Semester

    Open Elective I

    Professional Elective I

    Professional Elective II

    Professional Elective III & IV

    Open Elective II

    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.

     
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