Computing has permeated our lives and very few areas in modern society are untouched by computer science.

Every field of human endeavour, be it transportation, defence, entertainment, healthcare, education, communication, or social interaction, is impacted positively by it. Computer science is the study of computational systems, including the theoretical foundations of computing, the design and development of software systems, and the application of computing to solve complex, challenging problems in all kinds of business, industry, scientific, and social contexts.

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The core of the Computer Science Engineering (CSE) curriculum includes programming languages and methodologies, databases, the analysis of algorithms and data structures, and the study of operating systems. The curriculum continues with courses in advanced data structures, data analytics, cloud computing, artificial intelligence, cyber security, and software-driven networks. Theoretical learning is integrated with hands-on laboratories and course projects to make the courses highly experiential and contextual.

The students can choose specializations within the program in Cloud computing, Big Data, Artificial Intelligence, and deep learning. The coursework is complemented with interventions to sharpen or develop soft skills like communication, teamwork, interpersonal skills, and critical thinking, which are essential for a successful career.

From the first to the final year, students have opportunities to carry out several projects in which student teams, working with faculty/industry mentors, put their knowledge to work on a real-world issue to find innovative solutions to engineering problems. As part of the courses, students are introduced to coding competition platforms to level up their programming skills and compete with programmers worldwide. The program also offers the option of doing an internship with industry or research labs. The advanced state-of-the-art research laboratories allow students to work on projects in niche technology areas.

Course Curriculum

01Single Variable Calculus

02Engineering Physics

03Engineering Mechanics

04C Programming for Problem Solving

05Basic Electrical Engineering

06Social Innovation

07Engineering Physics Lab

01Multivariable Calculus

02Engineering Chemistry

03Problem Solving with Data Structures

04Engineering Exploration

05Basic Electronics

06Basic Mechanical Engg.

07Professional Communication

01Graph Theory and Linear Algebra / Graph Theory and Calculus

02Discrete Mathematical Structures

03Computer Organization and Architecture

04Data Structures and Algorithms

05Database Management System

06Database Applications Lab

07Corporate Communication

01Applied Statistics with R / Vectors and Linear Algebra

02Microcontroller: Programming and Interfacing

03Object-Oriented Programming

04Principles of Compiler Design

05Operating System Principles and Programming

06Exploratory Data Analysis

07Object-Oriented Programming Lab

08Problem Solving & Analysis

01Software Engineering

02Computer Networks-1

03System Software

04Machine Learning

05Web Technologies Lab

06System Software Lab

07Mini Project

08Professional Elective-1

09Arithmetical Thinking & Analytical Reasoning

10Statistics and Probability

01Computer Networks-2

02Cloud Computing

03Professional Elective-2

04Professional Elective-3

05Computer Networks Lab

06Minor Project-1

07Minor Project-2

08Industry Readiness & Leadership Skills (Audit)

09Professional Aptitude & Logical Reasoning (Audit)

01Big Data & Analytics

02Information Security

03Professional Elective-4

04Professional Elective-5

05Senior Design Project

01Professional Elective-6

02Open Elective

03Capstone Project 20ECSW402 / Industry Project

04Industry Training

 
Programme Educational Objectives (PEOs)
PEO-1

Graduates will demonstrate peer-recognized technical competency to solve, analyse, design, develop, deploy and maintain computing solutions for contemporary problems.

PEO-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.

PEO-3

Graduates will be engaged in ongoing learning and professional development through pursuing higher education and self-study.

PEO-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.

Programme Outcomes (POs)
PO-1Engineering knowledge:

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

PO-2Problem analysis:

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

PO-3Design/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-4Conduct 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-5Modern 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-6Engineer 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-7Environment 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-8Ethics:

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

PO-9Individual and Team Work:

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

PO-10Communication:

Communicate effectively on complex engineering activities with the engineering community and with the 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-11Project 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-12Life-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.

  • Eligibility Criteria

    Karnataka B.Tech applicants must have passed PUC (Class 12) with at least 45% of marks.

    The applicants must have studied Class 12 with Mathematics, Physics and Chemistry/ Biotechnology/ Biology/ Computer Science as the main subjects.

    The applicants must have a valid KCET or COMEDK UGET or JEE Main score to secure B.Tech admission in Karnataka.

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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.

Testimonials

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info@kletech.ac.in

coe@kletech.ac.in (Controller of Examinations)