Workshop on "Introduction to Web Designing" organized by Engr. Simra Najam for First Year Students.
Mussafara Riaz and Aminah Akhtar conducted a workshop on Introduction to Web Designing for First Year Software Engineering students.
Workshop on "Career Counseling, Ways of Freelancing" organized by Engr Asma Khan and Engr. Simra Najam for First Year Students.
Midha Tahir (student of Batch 2018 Software Engineering) conducted an introductory workshop related to freelancing where she discussed the benefits of freelancing specifically for students, how an undergrad can work on Fiverr. She discussed career paths to opt for and excel. Overall this workshop was designed to lay a foundation on how one can learn and earn alongside studies.
Workshop on "Use of Git Hub" organized by Engr Asma Khan and Engr. Simra Najam for First Year Students.
Hasham Khalid (student of Batch 2018, software engineering) conducted a workshop giving a brief introduction on the languages, tech stack available in the market and frameworks that are famous nowadays. He motivated students on how they can kickoff their programming path, and guided them related to different competitions, hackathons and at the end discussed the importance of open source and team building in software engineering.
Hands-on Workshop on "Git & GitHub" organized by Ms. Sana Fatima & Ms. Zainab Faima for Second & Third Year Students.
The session was divided into two parts:
- Part-1 includes Basics of Git & GitHub.
- Part-2 includes Troubleshoot challenges with Git.
AIMS OF THE WORKSHOP
To develop a common understanding of:
- Importance of Git
- Configuration of Git on Windows/Linux.
- How professionals use Git to accomplish tasks in industry.
- Major challenges
- Troubleshoot challenges with Git.
- How to track progress of a project through Git
The workshop ended with an interactive Q&A session with students.
Hands-on Workshop on "Understanding of Deep Learning Models" organized by Ms. Sana Fatima & Ms. Zainab Faima for Second & Third Year Students.
The session was divided into two parts:
- Part -1 includes Basic Understanding of Deep Learning.
- Part-2 includes Training a Custom classification model Using Fastai.
AIMS OF THE WORKSHOP
- To develop a common understanding of Deep learning models
- Random initialization and transfer learning
- SGD, Momentum, Adam, and other optimizer
- Image localization Loss Functions and metrics
- Developing an image classifier on a custom dataset for classifying pet photos
- How does the deep learning model work
- How to improve Accuracy, speed, reliability of model