SIES | GST

B.E. Computer Engineering program is accredited by NBA for Academic Years 2021-2022 to 2023-2024 i.e. up to 30-06-2024.

Total Intake 120

The department of Computer Engineering is committed to the cause of growth and advancement of computer related technologies. The department was started in the year 2002 with the aim of acquainting students with the latest trends in Computer Science and Engineering. The Department has faculty members with both industrial and academic experience. Knowledge is imparted in Computer Architecture and Design, maintenance and networking. Students are also taught a spectrum of programming languages, spanning assembly language programming, C, Java, C++, .Net and operating systems like UNIX and Windows. The undergraduate program in Computer Engineering is essentially aimed at equipping a student with excellent programming and system related competencies. Teaching is focused on systems programming as well as application programming.

Vision

To be a Centre of Excellence in Computer Engineering to fulfill the rapidly growing needs of the Society.

Mission

To Impart quality education to meet the professional challenges in the area of Computer Engineering.
To create an environment for research, innovation, professional and social development.
To nurture life long learning skills for achieving professional growth.
To strengthen the alumni and industrial interaction for overall development of students.

Program Educational Objectives (PEO)

Practise Computer engineering in core and multi-disciplinary domains.
Exhibit leadership skills for professional growth.
Pursue higher Studies for career advancement.

Computer Engineering : PSO, PO’s & CO’s

Program Specific Outcomes (PSO)

To apply computational and logical skills to solve computer engineering problems.
To develop interdisciplinary skills and acquaint with cutting edge technologies in software industries.

Program Outcomes (POs)

Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialisation to 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, process to meet the specifications with consideration for the public health and safety, and the 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 , 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 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 society at large. Some of them are, 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 the engineering and management principles and apply these to one's own work, as a member and leader in ateam, to manage projects and in multidisciplinary environments.
Lifelong Learnings: Recognise the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.

Course Outcome (CO)

Computer Engineering : Faculty

Name of the Staff	Date of Joining	Designation	Qualification	Status of Appointment
Dr. Aparna Bannore	01.10.2003	HOD	B.E(CSE), M.E (CE), Ph.D	Full Time
Dr.Rizwana Umair Ahmed Siddiqui	01.07.2009	Associate Professor	B.E(I.T), M.E(CE), Ph.D	Full Time
Dr.Varsha Patil	26.06.2012	Associate Professor	B.E, M.E (CE), Ph.D	Full Time
Ms.Prachi Shahane	02.08.2004	Assistant Professor	B.E(CSE) , M.E (CE), Ph.D*	Full Time
Ms.Suvarna Chaure	01.07.2006	Assistant Professor	B.E(CSE) , M.E (CE), Ph.D*	Full Time
Mr.Sunil K Punjabi	01.08.2006	Assistant Professor	B.E, M.E (CE)	Full Time
Ms.Ujwala Ravale	03.08.2009	Assistant Professor	B.E, M.E (CE), Ph.D*	Full Time
Ms.Masooda Modak	03.01.2011	Assistant Professor	B.Tech (IT), M.E (CE), Ph.D*	Full Time
Dr. Anindita Khade	04.07.2011	Assistant Professor	B.E, M.E (CE), Ph.D	Full Time
Dr. Kalyani Pampattiwar	08.07.2013	Assistant Professor	B.E (CSE), M.E (CE), Ph.D	Full Time
Ms.Namrata Patel	01.07.2014	Assistant Professor	B.E, M.E (CE), Ph.D*	Full Time
Ms.Kranti Bade	01.01.2015	Assistant Professor	B.E(IT), M.E(CSE)	Full Time
Dr. Arathi Boyanapalli	15.01.2021	Assistant Professor	B.E (CSE), M.Tech (CSE), Ph.D	Full Time
Ms.Urvashi Patkar	15.01.2021	Assistant Professor	B.E (CSE), M.Tech (CSE)	Full Time
Mr.Swapnil Wani	22.07.2022	Assistant Professor	B.E (CE), M.E (CE)	Full Time
Dr. Jyoti Chavhan	02.08.2022	Assistant Professor	B.E (CSE), M.E (CE), Ph.D	Full Time
Ms.Rasika Malgi	01.12.2022	Assistant Professor	B.E, M.Tech (CSE)	Full Time
Ms.Sujata Kamble	13.07.2023	Assistant Professor	B.E, M.E (CE), Ph.D*	Full Time
Ms.Jyoti Baviskar	13.07.2023	Assistant Professor	B.E (IT), M.E (CE)	Full Time
Ms.Archana Arudkar	21.07.2022	Assistant Professor	B.E (CSE), M.E (CE)	Full Time

Computer Engineering : Technical Staff

Name	Designation
Mr.Krishnamurthy Nadar	System Administrator
Mr. Bhagyashal Waghmare	Lab Assistant
Mr. Hanmanta Kaki	Lab Attendant
Mr. Srinivas Bathula	Lab Attendant
Ms. Tanvi Todankar	Lab Assistant

Computer Engineering : Laboratories

Operating System lab

Project lab

Networking lab

Microprocessor Lab

Programming Lab

Database Lab

Web Designing Lab

Advance Computing Lab

Computer Engineering : Curriculum & Syllabus

Computer Engineering: Annual Reports

CSI: Computer Society of India

The Computer Society of India (CSI) SIES-GST Student Chapter was inaugurated in 2009. It is the largest student body in SIES amongst all. CSI aims at encouraging the students to take interest in research topics and also empower them with the news of the latest updates in the field of technology.

Computer Engineering : Student Development Programs

Student Project for Feedback System

About the club:

Department of Computer Engineering in association with Cere Labs establish Data Science Club. Data Science club members participate in a wide range of activities connected to the various fields in data science and artificial intelligence, including machine learning and data analysis. Club members work on a wide range of fascinating projects, conduct informative workshops and sessions for interested students as well as arrange seminars from industry experts.

Vision:

To be the premier hub for student-driven innovation and exploration in artificial intelligence and data science

Mission:

To cultivate a vibrant community of students passionate about artificial intelligence and data science
To provide a platform for learning, exploration, and collaboration, where members can enhance their skills, share ideas, and engage in hands-on projects.

Club Objectives:

Provide opportunities for students to learn about AI and data science through workshops, tutorials, and hands-on projects to develop practical skills and knowledge.
Foster a collaborative environment where students can network, share ideas, and work together on AI and data science projects, competitions, and research initiatives.

-Organise events featuring guest speakers from industry, academia, and research institutions to expose students to real-world applications, trends, and career opportunities in AI and data science.

Executive Body

Guest Lecture on "AI’s Impact on Economy”

Guest Lecture on "Introductory Session on Machine Learning