Department of Computer Engineering

Vision

To be an eminent Department that provides exemplary education that would nurture innovative thinking, quality research and there by grooming students to become skilled professionals and researchers in various field of Computer Engineering

Mission

To provide a conducive environment that offers an enriching learning experience and motivate students towards innovative thinking and research
To equip students with technical skills that would help them develop efficient software solutions
To enhance industry academia dialog enabling students to inculcate professional skills within them
To incorporate social and ethical awareness among our graduates to make them conscientious professionals

Introduction

The B.E. Program in Computer Engineering imparts an outstanding educational opportunity for those planning to pursue a career or to gain in-depth knowledge in Computer Engineering. Keeping in pace with the current era, the Computer Engineering syllabus covers comprehensive areas of both hardware and software technologies like Operating Systems, Microprocessor, Computer Architecture and Organization, Systems Programming, Operating Systems, Theory of Computation, Computer Graphics, Artificial, and Machine Intelligence.

The faculty members are energetic and work with passion in the areas like IoT, Cloud Computing, Machine Learning, Data Mining, Database Management and Soft Computing. They strive to provide conducive learning environment for students so as to develop their analytical and practical skills. The Department of Computer Engineering undertakes various activities to inculcate technical and managerial skills within the students along with social responsibilities. The Department also extends support for projects and innovative ideas.

Highlights of the Department

Department conducts Quality Process Workshops & Value Added Courses
Outcome based Teaching Learning Process
Project Based Learning
ICT Based Education

Extra Classes for slow learners
Internship Opportunity
Prospect to higher study

HoD's Desk

Computer Engineering is one of the most flourishing disciplines in recent times. With increased demand among recruiters, this domain has become the preferred line of study among students as well. The department was launched keeping in view the dynamic nature of the IT industry and the ever increasing demand for quality and well-trained IT professionals.

At our department we seek to combine excellence in education with service to the IT industry. The Department of Computer Engineering is one of the core departments I²IT and it offers a Bachelor of Engineering (B.E.) degree in Computer Engineering. Currently the Department has an intake of 180 students for its undergraduate program. Depending on his/her interest a student, can choose to pursue research, development, design, production, application, testing or management in the Information Technology industry. Some students also choose to continue their higher studies like MS, M.Tech, MBA.

Computer Engineering Faculty

Prof. (Dr.) Ajitkumar Shitole

ASSOCIATE PROFESSOR, HOD

Prof. (Dr.) Sandeep Patil

ASSOCIATE PROFESSOR

Dr. Deepak Uplaonkar

ASSOCIATE PROFESSOR

Prof. Ashwini Jarali

ASSISTANT PROFESSOR

Prof. (Dr.) Deptii Devendra Chaudhari

ASSISTANT PROFESSOR

Prof. Kimi Ramteke

ASSISTANT PROFESSOR

Prof. Mukesh More

ASSISTANT PROFESSOR

Prof. Lata Verma

ASSISTANT PROFESSOR

Prof. Shital Wadaganve

ASSISTANT PROFESSOR

Prof. Pradnya Shinde

ASSISTANT PROFESSOR

Prof. Silkesha Thigale

ASSISTANT PROFESSOR

Prof. Pallavi Yevale

ASSISTANT PROFESSOR

Ms. Swati Jadhav

ASSISTANT PROFESSOR

Prof. Poonam Deokar

ASSISTANT PROFESSOR

Prof. Mahadevi Namose

ASSISTANT PROFESSOR

Prof. Jayshree Muley

ASSISTANT PROFESSOR

Prof. Shubhangi Kesalkar

ASSISTANT PROFESSOR

Prof. Radhika Gore

ASSISTANT PROFESSOR

Prof. Supriya Kamble

ASSISTANT PROFESSOR

Prof. Prateeksha Chouksey

ASSISTANT PROFESSOR

Prof. Prakash Kshirsagar

ASSISTANT PROFESSOR

Prof. (Dr.) Deepak Patil

ASSISTANT PROFESSOR

Prof. Nivedita Ghodke

ASSISTANT PROFESSOR

Department Information

Short Term Goals

To improve academic performance of students using innovative and creative methods of teaching
To set up research labs in leading technologies of computer engineering like cloud computing, soft computing & mobile communications.
To organize workshops, seminars, conferences and training programs for knowledge sharing with the outside world.
To encourage faculties and students to take entrepreneurial projects for the benefit of society

Long Term Goals

To become the center of excellence in learning, teaching & research.
To establish and strengthen Industry – Institute Interaction and be an Industry solution provider
To create outstanding entrepreneurs in the area of computer engineering

Department Information at-a-glance

Name of the Department	Department of Computer Engineering
Intake Capacity	180
Faculty Members	Associate Professors	03
	Assistant Professors	18
Non-Teaching Members	02
Classrooms	07
Laboratories	08

Program Details

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.

Syllabus (CE)

SE E&TC	—	2012 Course	2015 Course	2019 Course
TE E&TC	2008 Course	2012 Course	2015 Course	2019 Course
BE E&TC	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

Lab Facilities

Laboratory Incharge :
Prof. Pallavi Yevale

Laboratory Assistant:
Mr. Nitin Tarange

Location of Laboratory : A-202

Area of Laboratory : 67.65 Sq.m

Laboratory resources :
Hardware :
HP Pro Desk 600 G8 Small Factor, Intel Core i5 10500 3.1 GHZz 6C 65W CPU, 8 GB (1x8GB) DDR4 2666 DIMM Memory, 1 TB 7200 RPM SATA-6G 3.5 in HDD, Windows 10 Home, Intel Wi-Fi 6 AX201 ax 2×2 non-vPro + Bluetooth 5 WW, HP USB 320 K Keyboard, HP USB Optical Wired Mouse, HP 19.5 inch Monitor , 5-5-5 Years Warranty.
PROJECTOR-LCD Projector EPSON EBX 31-3200 Lumens

Software: Windows 10(64 Bit), Ubuntu 22.04, JDK 1.8, Turbo C++, MySQL, Mongo DB, Python, Anaconda,
Wire shark, Nasm, Eclipse IDE, Star UML, Oracle, Packet Tracer, OpenGL, Microsoft Office 2007 Professional.

Laboratory Incharge :
Prof. Kimi Ramteke

Laboratory Assistant:
Mr. Vishal Shinde

Location of Laboratory : A-203

Area of Laboratory : 67.65 Sq. m

Laboratory resources :
Hardware: Dell Optiplex SFF 7010, 12th Gen Intel Core i5-12500, 16 GB DDR4 non ECC Memory,512 GB NVMe Class 35 SSD, Dell USB Optical Mouse , Dell USB Keyboard, Dell 20 Monitor- E2020H, Win 11 Home, 5 Yrs Warranty.
Printer-Epson FX 890 DOT Matrix
Projector-Optoma Projector W309ST with Wall Mount

Laboratory Incharge :
Prof. Pradnya Shinde

Laboratory Assistant:
Mr. Vishal Shinde

Location of Laboratory: A-204

Area of Laboratory : 67.38 Sq.m

Laboratory resources :
Hardware: HP 800G1 SFF, i5-4590/4GB Ram/500GB HDD/HP 18.5″ V193L Monitor with LED backlight/Win 8.1SL FPP/ HP USB Optical Mouse ,HP USB Keyboard
Printer-Epson FX 890 DOT Matrix
Projector-Optoma Projector W309ST with Wall Mount

Laboratory Incharge :
Prof. Shital Wadaganve

Laboratory Assistant:
Mr. Vishal Shinde

Location of Laboratory : A-205

Area of Laboratory : 66.46 Sq. m

Laboratory resources :
Hardware : HP 280G1 MT i5/4590/4/500/DOS HP 18.5″ Monitor with LED backlight, HP USB Optical Mouse ,HP USB Keyboard,Microsoft Licence Windows 8.1
Graphics Card- Asus 610 CAT 21 PCI 2 GB DDR3
Raspberry Pi 4-Raspberry Pi 4 – 4 GB Model B
Mobile Phone : Redmi 12 C (Matte BLACK, 6gb ram, 128gb Storage), High Performance Mediatek Helio G85, Big 17 cm(6.71) HD+Display with 5000 mAh,(typ) Battery, BOBYN26-MBLK-6+128GB), HSN:85171300

Laboratory Incharge :
Prof. Ashwini Jarali

Laboratory Assistant:
Mr. Vishal Shinde

Location of Laboratory : A-206

Area of Laboratory : 67.37 Sq. m

Laboratory resources :
Hardware: Dell Optiplex 3010 DT N-Series Base,Intel Core i5-3470 Processor,4 GB 1333 MHz SDRAM Memory,500 GB 7200 RPM 3.5″ SATA HDD, Dell E1912H 18.5″ Monitor with LED backlight, Dell USB Optical Mouse ,Dell USB Keyboard
HP 800G1 SFF, i5-4590/4GB Ram/500GB HDD/HP 18.5″ V193L Monitor with LED backlight/Win 8.1SL FPP/ HP USB Optical Mouse ,HP USB Keyboard
Projector-Optoma Projector W309ST

Laboratory Incharge :
Dr. Sandeep Patil

Laboratory Assistant:
Mr. Nitin Tarange

Location of Laboratory : A-210

Area of Laboratory : 66.27 Sq. m

Laboratory resources :
Hardware: Dell Optiplex 3010 DT N-Series Base,Intel Core i5-3470 Processor,4 GB 1333 MHz SDRAM Memory,500 GB 7200 RPM 3.5″ SATA HDD, Dell E1912H 18.5″ Monitor with LED backlight, Dell USB Optical Mouse ,Dell USB Keyboard
HP 800G2 SFF, i5-6500/4GB Ram/500GB HDD/HP 18.5″ V194L Monitor with LED backlight / HP USB Optical Mouse ,HP USB Keyboard/Windows 10 Home Single Language 64-bit OS
Printer-Epson FX 890 DOT Matrix
Printer-Canon Digital Maultifunction Printer MF244DW

Laboratory Incharge :
Prof. Radhika Gore

Laboratory Assistant:
Mr. Nitin Tarange

Location of Laboratory : A-211

Area of Laboratory : 66.50 Sq. m

Laboratory resources :
Hardware: HP Compaq 4000 Pro, C2D/4/500/Windows 7, HP 18.5″ Monitor with LED backlight, HP PS/2 Optical Mouse ,HP PS/2 Keyboard
Dell Optiplex 3010 DT N-Series Base,Intel Core i5-3470 Processor,4 GB 1333 MHz SDRAM Memory,500 GB 7200 RPM 3.5″ SATA HDD, Dell E1912H 18.5″ Monitor with LED backlight, Dell USB Optical Mouse ,Dell USB Keyboard
HP 800G2 SFF, i5-6500/4GB Ram/500GB HDD/HP 18.5″ V194L Monitor with LED backlight / HP USB Optical Mouse ,HP USB Keyboard/Windows 10 Home Single Language 64-bit OS
Lenovo Desktop- NEO50S-11SYS08C00, Core-i5 12400, RAM 8GB, 1TB HDD+256 GB SSD, KB+Mouse, Windows Home 11SL, BluetoothWifi6 5 Years Warranty
Printer-HP LaserJet 1020 plus

Software:Windows 10/11(64 Bit), Ubuntu 22.04, JDK 1.8, Turbo C++, MySQL, Mongo DB, Python, Anaconda,
Wire shark, Nasm, Eclipse IDE, Star UML, Oracle, Packet Tracer, OpenGL, Microsoft Office 2007 Professional, Net Beans, Visual Studio 2012, Autocad 2016.

Laboratory Incharge :
Prof. SilkeshaThigale

Laboratory Assistant:
Mr. Nitin Tarange

Location of Laboratory : C-010

Area of Laboratory : 66.26 Sq.m.

Digital Trainer Kit: Digital Trainer Model: HLTPDT-07
Consisting of ZIF Sockets 20PIN – 4 Nos. & 40 PIN 1 No., Digital I/P with LED Indication 10 Nos., Digital O/P with LED Indication 10 Nos., Manual Pulser: +Ve & -Ve edge triggered, Clock: 0.1Hz, 1Hz, 10Hz & 100Hz., Variable clock: 1Hz to 200Hz., BCD- 7 Segment displays 2 Nos., Inbuilt power supply +5V with short circuit protection, Alarm /Audio Indication for Short circuit, Colored Patch cords 10 Nos. Power cord 1 no.

Departmental Activities

All add-on courses, value-added courses, guest and expert lectures and more events conducted by the department of Computer Engineering

Qualifications	Ph.D., M.Tech.(Comp. Engg.), B.E.(Comp.Engg.)
Teaching experience	21 years
Industry experience	Nil
Area of interest	Data Mining, Machine Learning, Data Structures, Theory of Computation, Design & Analysis of Algorithms, Object Oriented Programming, Operating Systems, and Discrete Structures.

Qualifications	PhD, M. E. (Computer Engineering)
Teaching experience	22 years
Industry experience	01 years
Area of interest	Soft Computing Techniques, Database Engineering.

Qualifications	PhD, M. Tech in CSE, B.E. in CSE
Teaching experience	14 years
Industry experience	NiL
Area of interest	Image Processing, Computer Networks, Mobile Ad Hoc Network

Qualifications	BE in CSE, ME in CE
Teaching experience	20 Years
Industry experience	Nil
Area of interest	Information Security, Internet Information Security, Internet of Things, Data Analytic

Qualifications	PhD, ME in CE, BE in CE, Diploma in Advance Computing (C-DAC)
Teaching experience	14 years
Industry experience	0.8 years
Area of interest	Natural Language Processing, Deep Learning, Information Retrieval
Professional memberships:	1. IEEE 2. ISTE

DSA Polynomial Addition -Prof. Varsha Degaonkar	Download PPT
MT Gyroscope -Prof. Varsha Degaonkar	Download PPT
Design procedure for an Integrator -Prof. Bhagyashri Thorat	Download PPT
Power budget analysis for Fiber optics link part -Prof. Bhagyashri Thorat	Download PPT

Qualifications	M.E. CE
Teaching experience	4 yrs
Industry experience	–
Area of interest	CLOUD COMPUTING, BIG DATA, DATA ANALYTICS, DATA STRUCTURE
Professional Memberships	CSTA

Qualifications	M.E. CSE
Teaching experience	4.5 yrs
Industry experience	NIL
Area of interest	DBMS, JAVA, CG, NETWORK AND SECURITY

Vision

Mission

Introduction

Highlights of the Department

HoD's Desk

Prof. (Dr.) Ajitkumar Shitole

Computer Engineering Faculty

Department Information

Short Term Goals

Long Term Goals

Department Information at-a-glance

Program Details

SE

TE

BE

SE

TE

BE

DSA Polynomial Addition

MT Gyroscope

Design procedure for an Integrator

Power budget analysis for Fiber optics link part

Lab Facilities

Departmental Activities

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