Curriculum Structure

The curriculum is designed to provide a strong base of the fundamentals in Computer Science and Engineering. The school offers various core courses and electives designed to enable students to build expertise in the 3 verticals of Data Engineering, Network Engineering and System Engineering.

Program Verticals:

The school offers various courses under the following Verticals  of Data Engineering, Networking and System Engineering.

Data Engineering: Students develop data visualization skills, data analysis, and draw inferences from the data. They are exposed to hands-on setting up the cloud and perform data analytics on it. Machine Learning and Embedded Intelligent System courses are co-designed and co-delivered by Industry (Samsung SRIB).

 

Networking: Student develops skills in the design of network protocols/applications for wired and wireless networks. The courses on information security, cybersecurity helps students to develop security algorithms/tools. They are also exposed to courses like Software Defined Networks, DevOps, Data Integration & Cloud Services and Blockchain Technology. The courses are designed in collaboration with Microsoft, Juniper Networks, Informatica and Akamai.

 

System Engineering: For students, it provides an opportunity to work on various technologies, hardware involving latest state-of-the-art systems. The students have opportunities to work  on FPGA, GPUs, ASIC and DGX-I server.

2016-20 Batch

Curriculum Structure

First Year

Semester I         

  • Single Variable Calculus  18EMAB101(4-1-0)
  • Engineering Physics 15EPHB101 (3-0-0)
  • Engineering Mechanics 15ECVF101 (4-0-0)
  • C Programming for Problem Solving 18ECSP101 (0-0-3)
  • Basic Electrical Engineering 18EEEF101 (3-0-0)
  • Design Thinking for Social Innovation 20EHSP101 (0-1-1)
  • Credits – 21

Semester II

  • Multivariable Calculus 18EMAB102 (4-1-0)
  • Engineering Chemistry 15ECHB102 (3-0-0)
  • Problem Solving with Data Structures 18ECSP102 (0-0-3)
  • Engineering Exploration 15ECRP101(0-0-3)
  • Basic Electronics 18EECF101(4-0-0)
  • Basic Mechanical Engg. 15EMEF101(2-1-0)
  • Credits – 23

Second Year

Semester III

  • Graph Theory and Linear Algebra 15EMAB204(4-0-0)
  • Discrete Mathematical Structures 19ECSC202 (3-1-0)
  • Computer Organization and Architecture 21ECSC201(3-0-1)
  • Data Structures and Algorithms 20ECSC205( 4-0-0)
  • Database Management System 15ECSC208(4-0-0)
  • Data Structures and Algorithms Lab 19ECSP201(0-0-2)
  • Database Applications Lab 15ECSP204(0-0-1.5)
  • Credits – 23.5

Semester IV

  • Applied Statistics with R 20EMAB209(3-1-0)
  • Microcontroller: Programming & Interfacing 20ECSC206(3-0-1)
  • Object Oriented Programming 20ECSC204(3-0-0)
  • Principles of Compiler Design 19ECSC203(3-1-0)
  • Operating System Principles and Programming 18ECSC202(4-0-1)
  • Data Mining & Analysis 21ECSC210(4-0-1)
  • Object Oriented Programming Lab 20ECSP203(0-0-1.5)
  • Credits – 26.5

Third Year

Semester V

  • Software Engineering 15ECSC301(3-0-0)
  • Computer Networks-1 19ECSC302(3-1-0)
  • System Software 17ECSC302(3-0-0)
  • Web Technologies Lab 21ESCP304(0-0-2)
  • Machine Learning 17ECSC306(2-0-1)
  • System Software Lab 19ECSP302(0-0-1.5)
  • Mini Project 15ECSW301(0-0-3)
  • Credits – 22.5

Semester VI

  • Computer Networks-2 20ECSC303(3-0-0)
  • Distributed & Cloud Computing 20ECSC305(2-0-1)
  • Professional Aptitude & Logical Reasoning 15EHSC301(3-0-0)
  • Professional Elective-2 XXECSE3XX(3-0-0)
  • Professional Elective-3 XXECSE4XX(3-0-0)
  • Blockchain and Distributed Ledgers 21ECSC307(2-0-1)
  • Computer Networks Lab 20ECSP305(0-0-1.5)
  • Professional Elective-1 XXECSE3XX(3-0-0)
  • Credits – 25.5

Fourth Year

Semester VII

  • Big Data & Analytics 17ECSC401(2-0-1)
  • Information Security 20ECSC402(2-0-1)
  • Professional Elective-4 XXECSE4XX(3-0-0)
  • Professional Elective-5 XXECSE4XX(3-0-0)
  • Senior Design Project 20ECSW401(0-0-6)
  • CIPE 15EHSA401(Audit)
  • Minor Project 15ECSW302(0-0-6)
  • Credits – 18

Semester VIII

  • Professional Elective-6 XXECSE4XX(3-0-0)
  • Open Elective XXECSO4XX(3-0-0)
  • Capstone Project 20ECSW402 / Industry Project 20ECSI494(0-0-11)
  • Industry Training18ECSI493(0-0-6)
  • Credits -17

Program Overview

  1. Graduates will demonstrate peer-recognized technical competency to solve, analyze, design, develop, deploy and maintain computing solutions for contemporary problems.
  2. Graduates will demonstrate leadership and initiative to advance professional and organizational goals with a commitment to ethical standards of profession, teamwork, and respect for diverse cultural backgrounds.
  3. Graduates will be engaged in ongoing learning and professional development through pursuing higher education and self-study.
  4. Graduates will be committed to the creative practice of engineering and other professions in a responsible manner contributing to the socio-economic development of society.

PO 1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization for the solution of complex engineering problems.

PO 2: Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO 3: 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 public health and safety, and cultural, societal, and environmental considerations.

PO 4: 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 5: Modern Tool Usage: Create, select and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and complex engineering activities, with an understanding of the limitations.

PO 6: 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 7: 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 8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO 9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO 10: Communication: Communicate effectively on complex engineering activities with the engineering community and with t h e 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 11: Project management and finance: Demonstrate knowledge and understanding of t h e 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 12: Life-long learning: Recognise the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

PSO 1: Domain-specific knowledge: An ability to apply techniques to develop computer based solutions in the domain of data, system and network engineering.

PSO 2: Software System Construction: Apply design and development principles in the construction of software systems of varying complexity.

  1. Karnataka B.Tech applicants must have passed PUC (Class 12) with at least 45% of marks.
  2. The applicants must have studied Class 12 with Mathematics, Physics and Chemistry/ Biotechnology/ Biology/ Computer Science as the main subjects.
  3. The applicants must have a valid KCET or COMEDK UGET or JEE Main score to secure B.Tech admission in Karnataka.
Program Educational Objectives (PEO’s)
  1. Graduates will demonstrate peer-recognized technical competency to solve, analyze, design, develop, deploy and maintain computing solutions for contemporary problems.
  2. Graduates will demonstrate leadership and initiative to advance professional and organizational goals with a commitment to ethical standards of profession, teamwork, and respect for diverse cultural backgrounds.
  3. Graduates will be engaged in ongoing learning and professional development through pursuing higher education and self-study.
  4. Graduates will be committed to the creative practice of engineering and other professions in a responsible manner contributing to the socio-economic development of society.
Program Outcomes (PO’s)

PO 1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals and an engineering specialization for the solution of complex engineering problems.

PO 2: Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO 3: 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 public health and safety, and cultural, societal, and environmental considerations.

PO 4: 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 5: Modern Tool Usage: Create, select and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and complex engineering activities, with an understanding of the limitations.

PO 6: 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 7: 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 8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO 9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO 10: Communication: Communicate effectively on complex engineering activities with the engineering community and with t h e 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 11: Project management and finance: Demonstrate knowledge and understanding of t h e 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 12: Life-long learning: Recognise 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 Specific Outcomes (PSO)

PSO 1: Domain-specific knowledge: An ability to apply techniques to develop computer based solutions in the domain of data, system and network engineering.

PSO 2: Software System Construction: Apply design and development principles in the construction of software systems of varying complexity.

Eligibility
  1. Karnataka B.Tech applicants must have passed PUC (Class 12) with at least 45% of marks.
  2. The applicants must have studied Class 12 with Mathematics, Physics and Chemistry/ Biotechnology/ Biology/ Computer Science as the main subjects.
  3. The applicants must have a valid KCET or COMEDK UGET or JEE Main score to secure B.Tech admission in Karnataka.

Faculty

Assistant Professor

Assistant Professor

Professor Emeritus

Associate Professor

Assistant Professor

Assistant Professor

Admissions

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Contact Details

  • E-mail
    info@kletech.ac.in
  • Phone number
    HOD : 0836 2378220
    Office : 0836 2378221
    Consultancy Cell : 0836 2378222

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