LPL Winners Testimonals!!

Archives

iMBA Project NU-Pitchers launched!

NU-Pitchers - the first Additive Curriculum project for iMBA students has been launched this semester!

Prof. (Dr) Deepak Khanna's course on Entrepreneurship & Startup Ecosystem forms the core of this project with teams developing a Startup idea. Each of the four members will have industry-relevant roles that help to focus on different areas of the startup idea.

The 4 member team is to deliver outcomes like:

Concept statement that highlights the problem to be solved.
Internal and external evaluations by team members and potential customers.
One minute elevator pitch as well as a Pitch deck for potential investors.
A detailed business plan month by month.

The project outcomes are strengthened by Dr. Abhisek Dutta who blends the concepts of Marketing Management into it and ensures that the startup team hones its skills in the marketing domain through Situation analysis, Marketing Strategy, Financials and Controls. A detailed evaluation rubric ensures that NUtons are able to apply the marketing concepts in this project.

Dr. Ratika Kaushik further enhances the outcomes by empowering the project teams through the Communication Proficiency and Professional Skills course which ensures key skills in communication and team dynamics are inculcated in them. This covers topics such as motivation, leadership, teamwork, conflict management and stress management which are to be demonstrated by the project teams.

Guidelines are provided by each Faculty on the outcomes expected. While focusing on creating a solution that addresses real-life problems, NUtons will also be able to understand the inter-dependence of the subjects being learnt in their curriculum. Under the framework of the Additive Curriculum, they also get an opportunity to reflect on how value has to be created for a customer.

NUPitchers Team List

NU Pitchers Guidelines.pdf

Marketing Plan.docx.pdf

NU Pitchers Guidelines_Course_TA112.pdf

ET 401 - Design Your Own Learning Journey

Dr. Jetendra Joshi

ET 401 conducted by Dr. Jetendra Joshi is a unique course that gives NUtons the flexibility to design their own curriculum around their interests and career goals. With no classes to attend, they work on five projects in PBL mode, learning through hands-on experience.

Project 1: Continue with their Sem 4/5 project to fulfill all required outcomes: This involves adding features or functionality, refining the code, fixing bugs or errors, or completing any remaining functionality.
Project 2: Become a project Mentor and help a team achieve their goals: Guide Semester 3 students in developing a Java front-end interface which uses the sensor data. Share their knowledge and expertise to help them succeed.
Project 3: Demonstrate self-directed learning skills: Create a narrative around a topic of interest that demonstrates their self-directed learning skills. In reflective mode, describe the interest in the topic, steps taken to improve their skills, and achievements in the area.
Project 4: Become industry ready: Identify a role in their desired industry and the skills that are required. Create a plan to develop those skills and work towards their career goal.
Project 5: Through Digital storytelling, highlight their growth as a learner: Compile key takeaways from the above 4 projects and create a digital story that highlights the challenges faced, progress, and growth.

Each project is worth 20 marks, and NUtons have the flexibility to manage their time and workload across all five projects. This means they can tailor their learning experience to your individual needs and goals. A detailed outline of the project requirements are attached below.

ET 401 - Reflections On Learning.pptx

ET401_Groups

M&M_ Phase 2_ Mentoring Competencies.pdf

Launch of Project Synergy

Welcome to Project Synergy initiated by Professor Manish Hurkat for 2nd Year BTech students in their 3rd Semester!

Students bring forward a project from the previous semester which involved designing an IOT-based working prototype using various electronic components. They will now work on advanced features for their prototype, integrating it with software, specifically, programming languages like Java.

Under the guidance of Prof. Manish, students will implement the principles of Object Oriented Programming to build a user-friendly interface (front-end system) for the prototype to project the data captured through sensors onto a website or dashboard. So what is attempted is a synergy where hardware and software speak to each other through data!

At the end of the project students have to deliver a comprehensive presentation on how the solution was developed and demonstrate how the code runs.

Students gain more in-depth knowledge as they work on the same project and prototype over several semesters, which helps them create a fully functional application with features that can be used in the real world.

Synergy Team list

Synergy_ProjectGuidelines_FinalVersion1.0.1

SYNERGY_PROJECT_DELIVERABLES

Synergy Roles_FinalVersion_1.0.1

Synergy_Timeline

Synergy-Asana-Instructions.mp4

Launch of Project DIP-Pers

Are you interested in learning about image processing and computer vision? Do you want to gain hands-on experience building a machine-learning model? Then Project DIP-Pers is for you!

This project for 3rd Year BTech is launched under the guidance of our Subject Matter Expert Dr. Vikas Upadhyaya, and the Industry Mentor Mr. Jignesh Talasila, CEO of PerspectAI.

You will learn how to:

Use Label Box to annotate images
Preprocess images and annotations for machine learning
Evaluate a CNN model

What you will gain:

Hands-on experience with image processing, computer vision, and machine learning
Knowledge of the latest tools and techniques in the field
A chance to work on a real-world problem with an Industry customer

DIP-Pers_TeamList_Version 1.0.1.xlsx

Curriculum For NIIT_2023sept_updated_timelines.docx

Project Setup and Guidelines for Team Leaders

NIIT Team Progress: DIP-Pers

GitHub - parijat-lang/Labelbox-project-setup

DIP PROJECT WITH PERSPECT AI

rubric_for_NIIT_v3.docx.pdf

labeling documentation

referencesforstudents.pdf

Google Colaboratory

DIP-PERS TIMELINE

Google Colaboratory

Phase 3 Code Resources

Team Leader Project Setup Tutorial

Tutorial for Annotations on Label Box

Updated tutorial on Labelbox

Tutorial for Phase 2

Tutorial for Phase 3

Launch of Learners' Premier League (LPL)

The Learners' Premier League (LPL) is an initiative by NU that enhances the experiential learning for students by bringing in a blend of research & discovery, collaborative and real-life problem-solving methodologies into play.

Implemented as a process-based PBL (Project-based learning) over a period of two months, it takes a multi-disciplinary approach by integrating five different disciplines (Chemistry, Physics, Electronics, Communication Skills, and Business Environment).

Student project teams take up industry-relevant roles and explore diverse domains ranging from Nanotechnology, Agriculture, Fashion, AR/VR, to Biotechnology.

Under the guidance of the Buddy and Associate Mentors and the Faculty, they will identify a real-life problem in the suggested domain/topics and also propose a solution to that problem.

The entire project is monitored by leveraging Project Management tools like Asana which gives NUtons exposure to industry tools.

Students are guided and evaluated in their projects by a panel of professors led by Dr. Vivek Srivastava, Dr. Vinay Sharma, Dr. Vikas Upadhyaya, Dr. Anshima Srivastava and Prof. Anamoy Ranjan.

After the final evaluations, a set of teams get shortlisted for the LPL Finale. They will then have various rounds of competition with each other, until the final winner is identified and handed the LPL Trophy.

LPL Teams_withMentorVersion1.0.1

Copy of LPL Project Guidelines_FinalVersion_1.0.3

Copy of LPL_RolesDoc_FinalVersion_1.0.1

LPL_Timeline

Copy of LPL MID EVAL QUESTIONAIRRE

LPL Ranking of Teams

LPL 2023 Final Evaluation Timeline - Sheet1.pdf

LPL Guidelines and Previous Year Questions.pdf

Launch of M&M (Math & Mentoring)

Dr. Achintya Roy

The M&M (Math & Mentoring) Project is the newest Additive Curriculum project launched by Dr. Achintya Roy. Revolving around the subject of Probability and Random Processes, the M&M Project aims to involve students in collecting real-life data based on their everyday activities and deriving meaningful outputs from the data sets collected.

Students are tasked to acquire data based on their daily routines which include different variables like, sleep time, study time, time spent on social media, and many more. These are then used for academic performance analysis in their courses.

Additionally, they are required to mentor the First year students in their project i.e. Workshop Practice Project, Cal-SymPy, or LPL. These include parameters like - Research skills, Higher order thinking, Meeting attendance, sharing resources on Asana, etc.

In supporting these project teams, NUtons gain an insight into concepts of Mentoring from a Learning Engineering perspective which helps both mentor and mentee to become aware of their learning.

M&M - Math and Mentoring Project Guidelines_Final Version_1.0.3

Phase 1_FinalVersion_1.0.4

M&M_ Phase 2_ Mentoring Competencies.pdf

M&M Timeline

Launch of Cal-SymPy (Calculus & Python Programming)

Integrating the concepts of Calculus (15 marks) and Fundamentals of Programming using Python (20 marks), the Cal-SymPy project gives students an opportunity to explore the applications of mathematical concepts in real world scenarios.

Through this project students comprehensively understand and apply the concepts of Calculus such as Partial Differential Equations, Taylor Series, Gradient Descent, etc through Python Programming to produce a mathematical model that represents a real life application. Using libraries and functions in Python, they have to develop a simple code that aligns with their project objectives.

Every project team will have distinct roles assigned to its team members. Each member has to work collaboratively in the team for leveraging meaningful outcomes.

The project spans 10 weeks after which students are evaluated by Dr. Ganapatirao Maradana and Dr. Supratik Banerjee on the basis of their understanding and demonstration of each concept.

Cal-SymPy_MentorAllocatedFinalVersion1.01

Math_Programming Roles_23_FinalVersion.pdf

Math_programming Guidelines_FinalVersion (1).pdf

Math and Programming_Timeline

Cal-SymPy Final Evaluation Timeline.pdf

Launch of Workshop Practice Projects

The first Additive Curriculum project has been launched! Revolving around industry-relevant IoT based topics, the Workshop Practice Project aims at providing 1st year BTech students with hands-on experience in this domain.

Every project team will have distinct roles assigned to its members. Each member has to work collaboratively in the team for leveraging meaningful outcomes. The project teams design a working prototype using different sensors, interfacing it with Arduino, under the guidance of Dr. Jetendra Joshi.

Through this project students acquire the ability to convert their theoretical knowledge into tangible applications and improve their problem solving skills.

A Workshop Practice Project interaction with the CoEET was arranged to give students a comprehensive overview about the project. It included discussion on project objectives, significance of the project for deeper understanding of concepts, practical applications, details about roles and working on Asana for task updates.

Click on the link below to view the interaction!

Workshop Practice Project Interaction

WorkshopPractice_Roles_FinalVersion.pdf

Workshop Teams_MentorAllocatedFinalVersion_1.0.1

workshop_practice_guidelines_FinalVersion

Join CoEET as a Teaching Assistant - Semester 1, AY 2023-24

Are you ready for an exciting opportunity to be part of the Centre of Excellence in Educational Technology (CoEET) as a Teaching Assistant (TA)?

Applications are now open for the upcoming Semester 1 of the Academic Year 2023-24 at NU.

We take immense pride in the achievements of the previous semester, especially the success of the MIV2 project. BTech students received valuable exposure to real-life AI-Image Processing projects with PerspectAI and attended an inspiring webinar with Mr. Jignesh Talasila, the CEO of PerspectAI.

We're determined to have even more incredible experiences this semester too!

We are looking for six senior NUtons to take on leadership positions as Desks, and an additional six talented junior NUtons as Learning Assistants (LA) to support the TAs.

Responsibilities:

The role requires a minimum commitment of 5-6 hours per week for research, planning, and executing academic tasks.
Detailed requirements for each position are provided below for your reference.

Selection Criteria:

We highly value candidates with prior experience in CoEET-driven projects, co-curricular activities, group-driven academic projects, or involvement in technology clubs. These experiences will be given due consideration during the selection process.

Benefits:

You will understand various aspects of Learning as an Engineering science while executing Additive Curriculum projects.
A certificate will be awarded recognizing the TA's learning levels and contribution during the tenure
Each role comes with a monthly stipend that will be paid on a pro-rata basis at the end of the tenure.
- The stipend and certificate will be granted only upon satisfactory completion of the assigned academic responsibilities.

How to Apply:

To apply for these positions, submit your application form by 1st August 2023.
You will then be required to take an aptitude test, the link for which will be provided via email.
The qualifying TAs will be called in for an interview with the Project Director.

For any inquiries, feel free to contact nucoeet@st.niituniversity.in.

Join CoEET and become part of an exceptional team, contributing to the intersection of education and technology while making a meaningful impact on the learning journey of NUtons!

Let's make this semester even more remarkable than the last one! Best of luck, and may the tech-savvy force be with you all!

Project & Systems Desk (1)

Strong organizational skills - ability to map timelines and organize events.
Proficient in project management methodologies - familiarity with spreadsheet tools.
Familiarity with systems and procedures development - emailing procedures.
Other technical tasks as given by ET Area

Research, Planning Desk and Data Analysis(1)

- Projects Bank based on requirements of Real World, Institution, Industry, Academia
- Student Placement to Projects
- Analysis of data generated through survey forms and projects
- Other technical tasks as given by ET Area

Learning & Pedagogy Desk (1)

- Understanding of pedagogical principles.
- Ability to break down tasks/roles/projects.
- Ability to connect projects with outcomes.
- Other technical tasks as given by ET Area

Mentoring & Extension Education Desk (1)

Strong interpersonal skills - understanding of mentoring principles.
Knowledge of task delegation.
Ability to create forms/analysis parameters to assess mentors.
Other technical tasks as given by ET Area

Technology & Industry Collaboration Desk (1)

Automating Learning Functions
Development/Upgrading ETIC portal to CMS
Manage tie-ups with Industry for projects
Other technical tasks as given by ET Area

Digital Marketing & Media Production (1)

- Familiarity with social media platforms - the ability to create relevant content.
- Ability to think creatively to create content.
- Knowledge of video editing/audio software.

- Other technical tasks as given by ET Area

Learning Assistants (6)

- Providing technical support in the execution of the above roles
- Other technical tasks as given by ET Area

Welcome NUtons 2023!

Take a few minutes to fill out these forms to provide us with the necessary information.

Know My Learning Style - https://forms.gle/TZiv1W5M4pjCsXWy5
Skills Survey - https://forms.gle/6sjiTbfinPHB6DMG6
Career Preference - https://forms.gle/BXShXz3cEE4d93Xi8

And do find the time to browse through the website and check out the Additive Curriculum Projects.

Webinar With CEO of PerspectAI

Mr Jignesh Talasila

As part of the MIV2 project, we are excited to share that a Webinar is being hosted with Mr. Jignesh Talasila, CEO of PerspectAI, the company which is providing our BTech students with an exposure to live AI-Image Processing projects.

This will be an interactive session with the Industry Mentors, along with our campus mentors.

This session will provide an opportunity to exchange ideas, share insights, and align our approaches for more effective and efficient project implementation.

We have scheduled it on Microsoft Teams for this purpose, which will be held on 15th April 2023 between 11 am and 12 pm.

Meeting Link - https://teams.live.com/meet/9525867162455

Website - https://perspect.ai/our-story.html

JATIN JOSHI

BTech 3rd Year

Teaching assistant

DIGVIJAY WAIRAGADE

BTech 2nd Year

LEARNING assistant

Launch of LPL (Learners’ Premier League)

Built on the foundation of Project Based Learning the Learners’ Premier League (LPL) is a pedagogic initiative for the students in their first year, which enhances their problem solving methodologies in real world scenarios.

It adopts a multidisciplinary approach integrating five different disciplines i.e. Chemistry, Physics, Electronics, Communication Skills and Business Environment. Students need to explore diverse topics such as Nanotechnology, AR/VR and among others. Students within a team will have to work on addressing a real world problem in the designated domain and come up with an innovative solution for the same.

Through this project students are expected to create significant outcomes in key skills such as Research, Critical Thinking and Problem Solving, Interdisciplinary Understanding, Leveraging Technology, Business/Financial Management and many more.

This project spans to a period of 2 months where students will have to collaboratively work on the project under the guidance of their Mentors and Faculties.

PREVIOUS COEET TEAM 22-23 sem 1

AKSHATA SHANMUGAM

BTech 2nd Year

Teaching assistant

lead - tECH & DATA ANALYTICS

DIVYANSH MISHRA

BTech 1st Year

learning assistant

TECH & DATA ANALYTICS

BHUMIKA PATHAK

BTech 2nd Year

Teaching assistant

lead - Project & Systems

ANKITA KAPOOR

BTech 1st Year

learning assistant

Project & Systems

NANDINI BAIS

BTech 2nd Year

Teaching assistant

lead - RESEARCH & PLANNING

KHUSHI JHA

BTech 1st Year

learning assistant

RESEARCH & PLANNING

SHASHWAT SHARMA

BTech 2nd Year

teaching assistant

lead - Learning & pedagogy

AGNISHWAR RAYCHAUDHURI

BTech 1st Year

learning assistant

Learning & pedagogy

ADARSH SINGH

BTech 3rd Year

Teaching assistant

lead - Mentoring & extension education

ALISHA SULTANA

IMBA 1st Year

learning assistant

Mentoring & extension education

CHETANA MORE

IMBA 2nd Year

teaching assistant

lead -DIGITAL MARKETING & INDUSTRY COLLABORATION

AVIJITH MANIKANDAN

BTech 1st Year

learning assistant

DIGITAL MARKETING & INDUSTRY COLLABORATION

This project is an industry-linked model that attempts to deliver business solutions by integrating concepts of Math with concepts in Computer Science. Specifically, this year, 1st Year BTech students who learn Linear Algebra and Differential Equations get to explore how these concepts are used in Digital Image Processing.

Stage 1 involves understanding mathematical concepts like Matrices - Eigenvalues, Eigen vectors, Cayley-Hamilton theorem, Diagonalization; Determinants, Limit & Convergence, Taylor’s Series, Differential Equations and Partial Derivatives. This is done through regular lectures and interactions with Math Professors.

Parallely, from a programming perspective students will receive dexterity in the python libraries such as OpenCV, Matplotlib, Seaborn, NumPy, Random, Pandas, SkLearn, which is facilitated by the Computer Science Faculty.

Stage 2 involves working on industry linked activities that expose them to the business needs that drive the Industry. Students work on various image processing related activities like-

Face Detection - Use of object detection to detect faces
Background and Object Detection - Use of object detection to detect materialistic
Objects Face Verification AND Cropping - Face Verification using Siamese Network
Fashion Detection - Segment and classify what clothes candidate is wearing

This is facilitated by the CoEET which will be collaborating with various companies from the Technology domain. Through these activities students will receive hands-on exposure and will work on real world scenarios that are prevalent in the industry. The Industry mentors help the students to use various AI applications that are used to train programs. All the project teams will undergo training in these four sub-projects in the domain of CVIP over a few weeks to get a first hand feel of how real-life Industry operates.

Stage 3 - The learnings from these interrelated activities are now summarised by the Students as part of their project reports. It addresses the -

Understanding of image processing concepts and basic analytical methods.
Understanding of image formation, operations and enhancement.
Implementation of linear algebra in computer vision and image processing.
Understanding the framework behind training a machine learning model

This project spans over a period of 6 to 8 weeks and involves evaluation components like the mid and final reports, periodic team reviews by the CoEET, mid-evaluations, video logs, and final presentation to a panel of Professors.

MATH-CVIP - Roles and Responsibilities - final.pdf

CVIP Description.pdf

The Computer Vision & Image Processing project series entails the same course structure as the Mathematics in Machine Learning project but, in addition, it deals with the more intricate part of the fundamentals of Computer Science such as Computer Vision. This project requires digging deep into the logistics of routine activities and their linkage with image processing to analyze and solve everyday problems. This series spans over a period of two months involving the evaluation components of mid and final reports, weekly team CoEET evaluations, video logs, and final presentation before the faculty members.

Keep in mind: The team is expected to divide themselves into these eleven roles, as per interest and previous experiences:

Researcher
Significance of Research
Employment Readiness
Industry and Customary Benefits
Interdisciplinary Knowledge
Product Manufacturing
Critical Thinking
Cost Management
Collaborative Workflow (Group Effort)
Project Management
Digital Publishing

Decide regular meeting timings for a week to avoid any clashing of schedule for any team member.
Talk to your mentor to give you a head start on the project and guide you during all steps with experience of their own.
A sufficient amount of time should be given to research with exploring ideas and work done by universities, researchers and other authors.
Once done with griping basics, start identifying the problem to counter with a prototype.
The prototype should cover structure, mechanism and innovation done by the team.
The business aspect should cover materials, their cost and industries to provide assistance in developing the product
Digital expansion to increase reach on the idea through various social platforms should be done with suitable templates and limited content to make it easy for the audience to understand.
While covering all the points above, a record book that includes attendance and Trello board has to be maintained to show individual participation in meetings.
While making reports, take care of the instructions given in the template provided.
Once the prototype is completed, start with designing the template for the presentation and adding up the content to show at the final evaluation.
A video log explaining the journey of 2 months with role-specific contribution, challenges and learning to be recorded by each student and combined by the group. It should include an explanation and functioning of the prototype as well.

Page updated

Report abuse