B. Tech Computer Engineering

Duration
4 Years
Eligibility

Eligibility Norms for Admission to B. Tech Programs: 

Candidates seeking admission to B.Tech. Program should have passed the Pre-University / Higher Secondary /or any equivalent 10+2 examination from an approved State / Central govt. board or from an international board like University of Cambridge "A" level certificate or certificate from International Baccalaureate (IB), Geneva, etc., with a minimum of 45% marks in Physics and Mathematics as compulsory subjects along with either Chemistry / Biotechnology / Biology / Electronics /Computer as an additional subject, and with 55% aggregate for SOCSE & 50% aggregate for SOE of total marks in the Qualifying Examination. Candidates should have appeared in any national / state level / Presidency University entrance examination viz. CET, Comed – K, JEE and such others.   

Eligibility Norms for Admission to B. Tech Programs (Lateral)  

A candidate who has passed any diploma examination or equivalent examination and obtained a minimum of 60% aggregate is eligible for admission to B. Tech Programs (Lateral Entry). Candidate should have appeared in any state level entrance examination. 

APPLY NOW
B. Tech Computer Engineering

Programme Overview

As businesses and organizations of every size seek a competitive edge, more and more are turning to artificial intelligence and machine learning. As AI and ML are used in more fields, understanding those fields will also be part of tailoring AI to the needs of the future. Studying AI requires a foundation in computer science and/or software engineering. For those looking to specialize in machine learning, knowledge of big data, physics, statistics, and applied mathematics may also be valuable. They will learn deep learning, neural networks, NLP, fuzzy logic, and other types of mathematics. 

Course Curriculum

  • 01Calculus and Linear Algebra - MAT1001
  • 02Optoelectronics and Device Physics - PHY1002
  • 03Engineering Graphics - MEC1006
  • 04Technical English - ENG1002
  • 05Introduction to Soft Skills - PPS1001
  • 06Problem Solving Using C - CSE1004
  • 07Digital Design - ECE2007
  • 08Introduction to Design Thinking - DES1146
  • 01Applied Statistics - MAT1003
  • 02Environmental Science - CHE1018
  • 03Basic Engineering Sciences - CIV1008
  • 04Problem Solving using JAVA - CSE1006
  • 05Advanced English / Foreign Language Courses - ENG2001/FRLXXXX
  • 06Enhancing Personality Through Soft Skills - PPS1012
  • 07Basics of Electrical and Electronics Engineering - EEE1007
  • 08Indian Constitution and Professional Ethics for Engineers - LAW1007
  • 09Innovative Projects Using Arduino - ECE2010
  • 01Applied Statistics - MAT1003
  • 02Basics of Electrical and Electronics Engineering - EEE1007
  • 03Technical English - ENG1002
  • 04Introduction to Soft Skills - PPS1001
  • 05Problem Solving Using C - CSE1004
  • 06Basic Engineering Sciences - CIV1008
  • 07Environmental Science - CHE1018
  • 08Indian Constitution and Professional Ethics for Engineers - LAW1007
  • 01Calculus and Linear Algebra - MAT1001
  • 02Engineering Graphics - MEC1006
  • 03Problem Solving using JAVA - CSE1006
  • 04Advanced English / Foreign Language courses - ENG2001/FRLXXXX
  • 05Enhancing Personality Through Soft Skills - PPS1012
  • 06Introduction to Design Thinking - DES1146
  • 07Optoelectronics and Device Physics - PHY1002
  • 08Digital Design - ECE2007
  • 01Mathematical Methods for CSE - MAT3005
  • 02Data Structures and Algorithms - CSE2001
  • 03Data Communications and Computer Networks - CSE3155
  • 04Computer Organization and Architecture - CSE2009
  • 05Discrete Mathematical Structures - MAT2004
  • 06Innovative Projects Using Raspberry Pi - ECE2011
  • 07Programming in Python - CSE1005
  • 08Introduction to Aptitude - PPS4002
  • 09Web Technologies - CSE2067
  • 01Numerical Methods for Engineers - MAT2003
  • 02Design and Analysis of Algorithms - CSE2007
  • 03Database Management Systems - CSE3156
  • 04Operating Systems - CSE3351
  • 05Microprocessors and Microcontrollers - CSE3074
  • 06Software Engineering - CSE2014
  • 07Artificial Intelligence and Machine Learning - CSE3157
  • 08Open Elective – I - XXXXXXX
  • 09Aptitude Training Intermediate - PPS4004
  • 10Mastering Object-Oriented Concepts in Python – CSE3216
  • 01Professional Elective – I - CSEXXXX
  • 02Neural Network and Fuzzy Logic - CSE3016
  • 03Natural Language Processing - CSE3188
  • 04Professional Elective – II - CSEXXXX
  • 05Embedded Systems - ECEXXXX
  • 06Professional Elective – III - CSEXXXX
  • 07Cloud Computing - CSE3343
  • 08Logical and Critical Thinking - PPS4006
  • 09Data Structure and Web Development with Python - CSE3217
  • 10Open Elective – II - XXXXXXX
  • 01Reinforcement Learning - CSE3011
  • 02IoT: Architecture and Protocols - ECE3075
  • 03Professional Elective – IV - CSEXXXX
  • 04Professional Elective – V - CSEXXXX
  • 05Open Elective – III (Management Basket) - XXXXXXX
  • 06Aptitude for Employability - PPS4005
  • 07Python Full-Stack Development - CSE3218
  • 08Professional Elective – VI - CSEXXXX
  • 09Deep Learning - CSE3189
  • 01Professional Elective – VII - CSEXXXX
  • 02Professional Elective – VIII - CSEXXXX
  • 03Professional Elective – IX - CSEXXXX
  • 04Professional Elective – X - CSEXXXX
  • 05Preparedness for Interview - PPS3018
  • 06Capstone Project - PIP2004
  • 01Internship – PIP4008

Programme Educational Objectives

After four years of successful completion of the program, the graduates shall be:

PEO 1: Graduates will demonstrate their knowledge in science and engineering as problem solvers and researchers.

PEO 2: Graduates will exhibit skills in cutting edge technologies to solve societal needs in multidisciplinary areas.

PEO 3: Graduates will develop an attitude towards lifelong learning and ethics to emerge as socially committed entrepreneurs.

Programme Outcomes (POs)

On successful completion of the Program, the students shall be able to:

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

PO 2: Problem analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using the 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 the public health and safety, and the 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 modelling to complex engineering activities with an understanding of the limitations.

PO 6: The engineer and society: Apply reasoning informed by contextual knowledge to assess societal, health, safety, legal and cultural issues, and the consequent responsibilities relevant to professional engineering practice.

PO 7: Environment and sustainability: Understand the impact of 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 engineering practice.

PO 9: Individual and teamwork: 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 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 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 12: 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.

Programme Specific Outcomes

On successful completion of the Program, the students shall be able to:

PSO 01: [Problem Analysis]: Identify, formulate, research literature, and analyze complex engineering problems related to Blockchain principles and practices, Programming, and Computing technologies, reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PSO 02: [Design/development of Solutions]: Design solutions for complex engineering problems related to Blockchain principles and practices, Programming, and Computing technologies, and design system components or processes that meet the specified needs with appropriate consideration for public health and safety, as well as cultural, societal, and environmental considerations.

PSO 03: [Modern Tool Usage]: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools, including prediction and modeling, to complex engineering activities related to Blockchain principles and practices, Programming, Blockchain Computing & analytics, with an understanding of the limitations.

Student handbook

Coming soon...

Program Regulations

Coming soon...

Download Brochure

Coming soon...

USP

Coming soon...

Career Opportunities

  • Core Software Development and Engineering

    Software Developer/Engineer: Developing software solutions, applications, or systems.

    Web Developer: Designing and building websites or web applications.

    Mobile App Developer: Creating applications for Android or iOS platforms.

  • System Design and Hardware Roles

    Computer Hardware Engineer: Designing and testing hardware components like processors, circuit boards, and memory devices.

    Embedded Systems Engineer: Working on microcontrollers, firmware, and hardware-software interfaces.

  • Core AI/ML Development Roles

    Machine Learning Engineer: Building and deploying ML models.

    AI Research Scientist: Working on cutting-edge AI research and solutions.

    Deep Learning Specialist: Focusing on neural networks for advanced applications like image recognition and NLP.

Your Next Move Awaits

Begin an extraordinary journey with Presidency University.