The core of the bachelor’s degree curriculum includes programming languages, Data Structures, Database Management Systems, Web Programming, Mobile Applications, and Networking.

Further, in higher semesters the program introduces the latest emerging fields like Big Data Analytics, Cloud Computing, the Internet of Things (IoT), Cyber Security, and Artificial Intelligence. Theoretical learning is integrated with hands-on laboratories and course projects to make the courses highly experiential and contextual.

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Course Curriculum

01 Operating Systems

02 Discrete Mathematical Structures

03 Computer Organization and Architecture

04 Problem Solving using C

05 Python Programming

06 Web Technology

07 Professional Communication

08 Corporate Communication Skills

01 Linear Algebra and Graph Theory

02 Database Management Systems

03 Data Structures and Algorithms

04 Software Engineering

05 Data Structures and Algorithms Lab

06 Database Management Systems Lab

07 Problem-Solving and Analytical Skills

01 Computer Networks

02 Applied Statistics

03 Object-Oriented Programming using Java

04 Full Stack Web Development

05 Data Mining and Analytics

06 Computer Networks Lab

07 Arithmetical Thinking and Analytical Reasoning

01 Programming with C# and .Net

02 Software Testing

03 Professional Aptitude and Logical Reasoning

04 Machine Learning

05 DevOps Lab

06 Minor Project-1

07 Industry Readiness and Leadership Skills

01 Cloud Computing

02 Information Security

03 Big Data Analytics

04 Professional Elective-1

05 Professional Elective-2

06 Minor Project-2

01 Professional Elective-3

02 Professional Elective-4

03 Capstone Project

04 Industry Training

05 Industry Project

Cyber Security

01 Blockchain Technologies

02 Ethical Hacking

03 Digital Forensics

04 Cyber Attacks and Counter Measures

Software Engineering

01 UI/UX Design

02 ASP.NET MVC Framework

03 Mobile Application Development

04 Object Oriented Modeling and Design

AI and ML

01 Neural Networks and Deep Learning

02 Business Intelligence

03 Natural Language Processing

04 Social Network Analysis

 
Programme Educational Objectives (PEOs)
PEO-1

Have a strong foundation and ability to apply knowledge of Computer Science, mathematics and humanities to conceive, analyze, design and implement IT solutions to problems in real life applications.

PEO-2

Have a comprehensive background to practice Software Engineering Principles in a variety of domains that require Software architecture, design, development and testing practices.

PEO-3

Have an understanding of professional and ethical obligations of a software engineer towards society and the need for lifelong learning.

PEO-4

Have an ability to effectively participate in multidisciplinary teams using ICT.

Programme Outcomes (POs)
PO-1Computational Knowledge:

Apply knowledge of computing fundamentals, computing specialization, mathematics, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.

PO-2Problem Analysis:

Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.

PO-3Design/Development of Solutions:

Design/development of solutions: Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, 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, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.

PO-6Professional Ethics:

Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practice.

PO-7Life-long Learning:

Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.

PO-8Project Management and Finance:

Demonstrate knowledge and understanding of the computing 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-9Communication Efficacy:

Communicate effectively with the computing community, and with society at large, about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand instructions clearly.

PO-10Societal and Environmental Concern:

Understand and assess societal, environmental, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.

PO-11Individual and Team Work:

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

PO-12Innovation and Entrepreneurship:

Identify a timely opportunity and using innovation to pursue that opportunity to create value and wealth for the betterment of the individual and society at large.

PO-13IT Skills:

An ability and capacity acquired through deliberate, systematic and sustained effort to carry out complex IT activities involving innovative ideas technical skills and interpersonal skills.

PO-14Professional Competency:

Apply computing concepts, skills and processes to produce a product/project in the domain demonstrating professional knowledge and attitude.

Programme Outcomes (POs)
  • Computational Knowledge

    Apply knowledge of computing fundamentals, computing specialization, mathematics, and domain knowledge appropriate for the computing specialization to the abstraction and conceptualization of computing models from defined problems and requirements.

  • Problem Analysis

    Identify, formulate, research literature, and solve complex computing problems reaching substantiated conclusions using fundamental principles of mathematics, computing sciences, and relevant domain disciplines.

  • Design/Development of Solutions

    Design/development of solutions: Design and evaluate solutions for complex computing problems, and design and evaluate systems, components, or processes that meet specified needs with appropriate consideration for public health and safety, 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, adapt and apply appropriate techniques, resources, and modern computing tools to complex computing activities, with an understanding of the limitations.

  • Professional Ethics

    Understand and commit to professional ethics and cyber regulations, responsibilities, and norms of professional computing practice.

  • Life-long Learning

    Recognize the need, and have the ability, to engage in independent learning for continual development as a computing professional.

  • Project Management and Finance

    Demonstrate knowledge and understanding of the computing 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.

  • Communication Efficacy

    Communicate effectively with the computing community, and with society at large, about complex computing activities by being able to comprehend and write effective reports, design documentation, make effective presentations, and give and understand instructions clearly.

  • Societal and Environmental Concern

    Understand and assess societal, environmental, health, safety, legal, and cultural issues within local and global contexts, and the consequential responsibilities relevant to professional computing practice.

  • Individual and Team Work

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

  • Innovation and Entrepreneurship

    Identify a timely opportunity and using innovation to pursue that opportunity to create value and wealth for the betterment of the individual and society at large.

  • IT Skills

    An ability and capacity acquired through deliberate, systematic and sustained effort to carry out complex IT activities involving innovative ideas technical skills and interpersonal skills.

  • Professional Competency

    Apply computing concepts, skills and processes to produce a product/project in the domain demonstrating professional knowledge and attitude.

 

  • Eligibility Criteria

    Candidates must have completed high-school and pre-university (10+2) from a recognized board.

    Typically, candidates should have studied course such as science or commerce at the 10+2 level.

    Candidates must obtain a minimum percentage in their high school and pre-university exams with minimum 60%.

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