Course Details - Engineering College in Pune | I²IT International Institute of Information Technology

About the Program

Computer Engineering course was launched in the academic year 2011-12 with a total intake of 60 seats and gradually increased to 120 seats in AY 2021-22 and to 180 seats in AY 2023-24. The Department has well-established state-of-the-art computer laboratories and classrooms that are equipped with ICT tools and computing facilities. Other than academics, the department provides its students with opportunities to participate in co-curricular and extra-curricular activities to showcase their talents and skills. The program aims towards the all-round development of students to mould them into becoming competent for the industry, academia and / or research.

Program Outcomes (POs)

Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialisation for the solution of complex engineering problems.
Problem analysis: Identify, formulate, research literature, and analyse complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet t h e specified needs with appropriate consideration for public health and safety, and 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 information to provide valid conclusions.
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.
The 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.

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.
Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
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.
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.
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 Educational Objectives (PEOs)

The Program educational objectives for the Department of Computer Engineering are –

To develop technically competent Computer Engineers with proficient domain knowledge, research attitude and innovative thinking.
To foster committed graduates with a life-long learning attitude and entrepreneurship spirit for a successful career.
To inculcate professional ethics, managerial and communication skills to accomplish a worthy career in all spheres of Computer Engineering.
To nurture socially aware engineers who can develop effective solutions for the betterment of the community and the nation.

Program Specific Outcomes (PSOs)

PSO1: Professional Skills –The ability to understand, analyze and develop computer programs in the areas related to algorithms, system software, multimedia, web design, big data analytics, and networking for efficient design of computer-based systems of varying complexities

PSO2: Problem Solving Skills – The ability to apply standard practices and strategies in software project development using open-ended programming environments to deliver quality products for business success

PSO3: Successful Career and Entrepreneurship – The ability to employ modern computer languages, environments, and platforms in creating innovative career paths to be an entrepreneur, and to have a zest for higher studies

Course Outcomes (COs)

Course Outcome (COs)

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Syllabus

SE CE	—	2012 Course	2015 Course	2019 Course
TE CE	2008 Course	2012 Course	2015 Course	2019 Course
BE CE	2008 Course	2012 Course	2015 Course	2019 Course

Second Year Sem III – 25 Credits Sem IV – 25 Credits	Semester III		Semester IV
	Discrete Mathematics		Engineering Mathematics III
	Fundamental of Data Structures		Data Structures & Algorithm
	Object Oriented Programming (OOP)		Software Engineering
	Computer Graphics		Microprocessor
	Digital Electronics & Logic Design		Principles of Programming Languages
	Data Structures Laboratory		Data Structures & Algorithm Laboratory
	OOP & Computer Graphics Laboratory		Microprocessor Laboratory
	Digital Electronics Laboratory		Project Based Learning- II
	Business Communication Skills		Code of Conduct
	Humanity & Social Science		–
	Audit Course 3		Audit Course 4
Third Year Sem V- 23 Credits Sem VI – 23 Credits	Semester V		Semester VI
	Database Management Systems		Data Science and Big Data Analytics
	Theory of Computation		Web Technology
	Systems Programming and Operating System		Artificial Intelligence
	Computer Networks and Security		Elective II
	Elective I		Internship
	Database Management Systems Laboratory		Data Science and Big Data Analytics Laboratory
	Computer Networks and Security Laboratory		Web Technology Laboratory
	Laboratory Practice I		Laboratory Practice II
	Seminar and Technical Communication		Audit Course 6
	Audit Course 5		—
Final Year Sem VII – 22 Credits Sem VIII – 22 Credits	Semester VII		Semester VIII
	Design and Analysis of Algorithms		High Performance Computing
	Machine Learning		Deep Learning
	Blockchain Technology		Elective V
	Elective III		Elective VI
	Elective IV		Laboratory Practice V
	Laboratory Practice III		Laboratory Practice VI
	Laboratory Practice IV		Project Work Stage II
	Project Work Stage I	Audit Course 7	Audit Course 8
	List of Elective III (Choose any one)		List of Elective V (Choose any one)
	Pervasive Computing		Natural Language Processing
	Multimedia Techniques		Image Processing
	Cyber Security and Digital Forensics		Software Defined Networks
	Object oriented Modeling and Design		Advanced Digital Signal Processing
	Digital Signal Processing		Open Elective I
	List of Elective IV (Choose any one)		List of Elective VI (Choose any one)
	Information Retrieval		Pattern Recognition
	GPU Programming and Architecture		Soft Computing
	Mobile Computing		Business Intelligence
	Software Testing and Quality Assurance		Quantum Computing
	Compilers		Open Elective II

Time Table

Department of Computer Engineering (CE)

About the Program

SE CE

TE CE

BE CE

Cascading Style Sheet

Prof. Kimi Ramteke

Cascading Style Sheet

Advanced Data Structures

Prof. Ajitkumar Shitole

Advanced Data Structures

Software Design Methodologies and Testing

Prof. Prashant Gadakh

Software Design Methodologies and Testing

Big Data Hadoop

Prof. Deptii Chaudhari

Big Data Hadoop

Memory Organization in 80386

Prof. Sandeep Patil

Memory Organization in 80386

DAA Introduction

Dr. Sashikala Mishra

DAA Introduction

Equivalence Calculation under inflation

Prof. Kimi Ramteke

Equivalence Calculation under inflation

Overview of LEX and YACC

Prof. Deptii Chaudhari

Overview of LEX and YACC

Distributed Systems

Prof. Prashant Gadakh

Distributed Systems

Equivalence Calculations under Inflation

Prof. Kimi Ramteke

Equivalence Calculations under Inflation

Scheduling Algorithms

Prof. Deptii Chaudhari

Scheduling Algorithms

Transaction Serializability

Prof. Deptii Chaudhari

Transaction Serializability

ESIOT

Prof. Ashwini Jarali

ESIOT

Fusion

Dr. Sashikala Mishra

Fusion

Memory Organization

Prof. Bailappa Bhovi

Memory Organization

Data Preprocessing

Prof. Sadeep Patil

Data Preprocessing

WT Validation

Dr. Sashikala Mishra

WT Validation

Colour Models

Prof. Bailappa Bhovi

Colour Models

DevOps

Prof. Pradip Chougule

DevOps

DTD

Prof. Kimi Ramteke

DTD

DMW

Prof. Ajitkumar Shitole

DMW

Data Structure- Linked List

Prof. Prashant Gadakh

DATA STRUCTURE – LINKED LIST

Code Coverage

Prof. Ramkrushna Maheshwar

Code Coverage

Introduction to IoT

Prof. Yogita N

Introduction to IoT

DCE

Prof. Sandeep Patil

DCE