ApplyWe would be happy to share self-learning resources you can use to learn Python fundamentals!
Every week celebrated professors teach classes in short 15–20 minute segments, each followed by a quick problem, to ensure engaged learning.
A lecture consists of 3–4 such segments. Lectures and Labs are typically held twice a week for 1.5–2.5 hours each.
A mentor supervises a small group of 10-20 students. They conduct labs, provide office hours and debrief homework. Your group will get 15 Hours/week to interact with the Mentor.
* Even more mentor hours can be requested as per your discussion with your mentor
Our system of learning starts with key concepts in lectures, and builds on them rapidly by engaging students in problem solving of increasing complexity.
First with in-class quizzes, followed by labs and homeworks, culminating in an end-of-module project. The finale for the entire program is a major project called the capstone.
In-class quizzes after each 15-20 minute lecture segment helps you review your learning immediately. This cements your conceptual understanding, and also increases long term recall.
Both during, and at the end of each lecture, Mentors guide their assigned study groups through a highly interactive hands-on lab using our education platform. In these Labs, students and their Mentors together walk through a lab step-by-step.
At the end of each module, you work on a complex problem that challenges you to apply what you learned during the module. As always, your Mentor will work with your group and you, LIVE, to help you make the best of your project.
Short problem-sets test and reinforce your learning key concepts covered in the classes. These get you ready for longer, context-rich Assignments in which you apply these ideas to complex problems. Short problem-sets follow every lecture. Longer Homeworks are typically given once each week.
For AI and Data Science Master and Advanced Programs, you work on a 10–12 week long Capstone Project, either with one of our partner companies, or with Faculty from around the world.
The Capstone Project is where you work on a complex, possibly real-life problem that calls on you to apply a diverse set of skills – from problem assessment and solutioning, to making trade-offs to meet deadlines and budgets. Your experience on the Capstone is designed to be very close to what you’d encounter at a company or a research institution. Your performance in the Capstone is a major indicator of your skills and expertise.
Rigorous, multi-dimensional evaluation is a cornerstone of our program. Evaluation consists of 4 parts:
• Performance in classroom quizzes
• Team and individual homeworks
• Performance in projects
• Overall ability to work in teams
Some parts are automatically graded, such as quizzes. Home works and projects are evaluated by your Mentor. Top projects are evaluated and graded faculty. Projects and Capstones are carefully evaluated, and become part of a student’s long-term repository at Univ.AI.
Rigorous, multi-dimensional evaluation is a cornerstone of our program. Evaluation consists of 4 parts:
• Performance in classroom quizzes
• Team and individual homeworks
• Performance in projects
• Overall ability to work in teams
Some parts are automatically graded, such as quizzes. Home works and projects are evaluated by your Mentor. Top projects are evaluated and graded faculty. Projects and Capstones are carefully evaluated, and become part of a student’s long-term repository at Univ.AI.
