IEEE-Woman in Engineering (WIE)
The IEEE Women in Engineering (WIE) Student Affinity Group is inaugurated by Prof A.Q Ansari at Skit Campus on 5th Oct,2024.A dynamic initiative under the umbrella of the Institute of Electrical and Electronics Engineers (IEEE), dedicated to promoting women engineers and scientists, and inspiring girls to pursue careers in science, technology, engineering, and mathematics (STEM). As one of the largest international professional organizations supporting women in technical fields, IEEE WIE fosters a global network of members and volunteers who share a common goal of advancing diversity, equity, and inclusion in engineering and related disciplines.
Within the student community, the WIE Affinity Group plays a vital role by creating opportunities for personal and professional growth. It regularly organizes workshops, seminars, technical talks, panel discussions, mentorship sessions, and networking events that empower students—particularly young women—to build confidence, leadership skills, and technical expertise. By collaborating with industry experts, academic leaders, and fellow student branches, the group ensures exposure to cutting-edge technologies and real-world problem-solving environments.
The WIE Student Affinity Group also encourages outreach activities aimed at school and college students to raise awareness about STEM careers. Initiatives such as coding camps, innovation challenges, hackathons, and community service projects help inspire the next generation of women technologists and engineers.
Membership in the IEEE WIE Affinity Group is open to all students, irrespective of gender, who are committed to fostering inclusivity and innovation in engineering. By joining, members not only gain access to a global professional network but also become part of a movement that is shaping a more diverse and inclusive technological future.
In essence, the IEEE WIE Student Affinity Group is more than just a student body—it is a platform for collaboration, empowerment, and innovation, dedicated to building a strong community of future engineers and leaders.
Faculty Coordinators:-
| Dr. Nilam Choudhary | Dr. Aakriti Sharma |
| Associate Professor, Department of CSE | Associate Professor, Department of CSE |
| Email id:- This email address is being protected from spambots. You need JavaScript enabled to view it. | Email id:- This email address is being protected from spambots. You need JavaScript enabled to view it. |
| Contact no.- 9829803880 | Contact no.- 9829800727 |
Student Coordinators:-
| Jagrati Pareek | Avani Choudhary |
| Contact no.- 9773111651 | 9001977787 |
Board of Studies
Members
| -------------------------------------------------------------------------------------------------------------------------------- | |
| Name of Faculty Members | Role |
| -------------------------------------------------------------------------------------------------------------------------------- | |
|
Prof. Mehul Mahrishi Professor, Department of Computer Science & Engineering, SKIT, Jaipur |
Convener/Chairperson |
| -------------------------------------------------------------------------------------------------------------------------------- | |
| All faculty members of the department | |
| -------------------------------------------------------------------------------------------------------------------------------- | |
|
Dr. Basant Agarwal Associate Professor, Department of Computer Science & Engineering, Central University of Rajasthan |
Member (Subject Expert) |
| -------------------------------------------------------------------------------------------------------------------------------- | |
|
Prof. Manju Khari Department School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi |
Member (Subject Expert) |
| -------------------------------------------------------------------------------------------------------------------------------- | |
| One expert nominated by the vice-chancellor of the Parent University | |
| -------------------------------------------------------------------------------------------------------------------------------- | |
|
Mr. Akshit Bhandari Senior Business Analyst, Persistent Systems |
Member (Industry/Corporate Sector) |
| -------------------------------------------------------------------------------------------------------------------------------- | |
|
Mr. Mohit Agarwal CEO Scrum Digital Pvt. Ltd. |
Member (Institute Alumni) |
| -------------------------------------------------------------------------------------------------------------------------------- | |
Minutes of Meetings(MOM)
| S.No. | Date | MOM |
| 1. | 23.10.2024 | Click here |
| 2. | 08.04.2025 | Click here |
5CAI5-11 Fundamentals of Blockchain
Course Outcomes
|
5CAI5-11.1 |
Understanding the basics of Blockchain, notation of Distributed Systems in Blockchain, and analyzing various problems. |
|
5CAI5-11.2 |
Understand the Technology Stack of Blockchain with Protocols and the working of an immutable distributed ledger that defines Blockchain. |
|
5CAI5-11.3 |
To illustrate the essential components of a Bitcoin and Ethereum Blockchain platform. |
|
5CAI5-11.4 |
Understand the various Versions/Tiers and Types of Blockchain Technology and its use in different applications. |
|
5CAI5-11.5 |
Understand various Types of Consensus Algorithms with their advantages and Limitations. |
Mapping of COs and POs
|
COs |
PO1 |
PO2 |
PO3 |
PO4 |
PO5 |
PO6 |
PO7 |
PO8 |
PO9 |
PO10 |
PO11 |
PO12 |
PSO1 |
PSO2 |
PSO3 |
|
CO1 |
3 | 1 | - | - | - | - | - | - | - | - | - | - | 3 | - | - |
|
CO2 |
3 | 1 | - | - | - | - | - | - | - | - | - | - | 3 | - | - |
|
CO3 |
3 | 2 | - | - | - | - | - | 2 | - | - | - | - | 3 | - | 1 |
|
CO4 |
3 | 1 | - | - | - | - | - | 2 | - | - | - | - | - | - | 1 |
|
CO5 |
3 | 2 | - | - | - | - | - | 2 | - | - | - | - | - | - | 1 |
6CAI5-12 Natural Language Processing (NLP)
5CAI3-01 Data Mining - Concepts & Techniques
Course Outcomes
|
5CAI3-01.1 |
Interpret the contribution of data warehousing and data mining to the decision-support systems. |
|
5CAI3-01.2 |
Prepare the data needed for data mining using pre-processing techniques. |
|
5CAI3-01.3 |
Extract useful information from the labelled data using various classifiers. |
|
5CAI3-01.4 |
Compile unlabeled data into clusters applying various clustering algorithms. |
|
5CAI3-01.5 |
Compile unlabeled data into clusters applying various clustering algorithms. |
|
5CAI3-01.6 |
Demonstrate capacity to perform a self-directed piece of practical work that requires the application of data mining techniques. |
Mapping of COs and POs
|
COs |
PO1 |
PO2 |
PO3 |
PO4 |
PO5 |
PO6 |
PO7 |
PO8 |
PO9 |
PO10 |
PO11 |
PO12 |
PSO1 |
PSO2 |
PSO3 |
|
CO1 |
1 | - | 1 | - | 1 | - | - | - | - | 1 | - | - | 1 | 1 | 3 |
|
CO2 |
2 | 2 | - | 2 | - | - | - | - | - | 1 | - | - | 3 | - | - |
|
CO3 |
3 | - | - | 3 | - | - | - | - | - | - | - | - | 3 | 1 | 2 |
|
CO4 |
3 | 1 | - | 3 | - | - | - | - | - | - | - | - | 2 | 1 | 1 |
|
CO5 |
3 | 3 | - | - | - | - | - | - | - | - | - | 1 | 1 | 1 | 3 |
|
CO6 |
3 | 3 | - | 2 | 3 | - | - | - | - | 1 | - | - | 1 | 2 | 3 |
