Computing has become an integral part of modern life, influencing nearly every aspect of society.

From transportation and defence to entertainment, healthcare, education, communication, and social interaction, computer science plays a pivotal role in driving positive advancements.

As a discipline, computer science encompasses the study of computational systems, focusing on the theoretical foundations of computing, the design and development of software systems, and the application of computational techniques. It empowers individuals and industries to address complex and challenging problems across diverse domains, including business, industry, science, and social contexts.

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The Bachelor of Engineering (BE) in Computer Science and Engineering curriculum is designed to provide a strong foundation in key areas such as programming languages and methodologies, databases, algorithm analysis, data structures, and operating systems. This foundation is further built upon with advanced courses in data structures, data analytics, cloud computing, artificial intelligence, cybersecurity, and software-defined networks. The program emphasizes experiential and contextual learning, seamlessly integrating theoretical knowledge with hands-on laboratories and project-based work.

Students have the flexibility to specialize in cutting-edge domains like Cloud Computing, Big Data, Artificial Intelligence, and Deep Learning. In addition to technical expertise, the curriculum includes interventions to develop essential soft skills such as communication, teamwork, interpersonal skills, and critical thinking—key attributes for a successful career.

The pedagogical approach at KLE Technological University positions it among the top institutions for Computer Science and Engineering in Bangalore, Karnataka. From the first year to graduation, students undertake numerous projects under the guidance of faculty and industry mentors, tackling real-world problems and delivering innovative engineering solutions.

To enhance programming proficiency, students are encouraged to engage with global coding competition platforms, enabling them to compete and grow alongside programmers worldwide. The program also includes opportunities for internships in industry or research labs, offering valuable practical exposure.

With access to advanced research laboratories equipped with state-of-the-art technology, students can work on niche projects, exploring emerging fields and technologies. This holistic and immersive approach ensures that graduates are industry-ready and prepared to make meaningful contributions in the field of Computer Science and Engineering.

Course Curriculum

01Single Variable Calculus

02Engineering Physics

03Engineering Mechanics

04C Programming for Problem Solving

06Basic Electrical Engineering

07Design Thinking for Social Innovation

01Multivariable Calculus

02Engineering Chemistry

03Problem Solving with Data Structures

04Engineering Exploration

05Basic Electronics

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

06CIPE

07Minor Project

01Big Data & Analytics

02Information Security

03Professional Elective-4

04Professional Elective-5

05Senior Design Project

06CIPE

07Minor Project

08Professional Elective-6

09Open Elective

10Capstone Project 20ECSW402 / Industry Project

11Industry 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.

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 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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