Introduction to Machine Learning (ML) and foundation for Artificial Intelligence (AI)

TitleTimeRoomTeacher
Introduction to Machine Learning (ML) and foundation for Artificial Intelligence (AI)21.09.2026 09:00 - 13:00 (Mon)OnlineDr. Sapna Sharma
Introduction to Machine Learning (ML) and foundation for Artificial Intelligence (AI)22.09.2026 09:00 - 13:00 (Tue)OnlineDr. Sapna Sharma
Keywords: 
Data science, statistics, Machine learning
Course Description: 

This module provides an introduction to machine learning (ML) with minimal mathematical complexity. It covers the fundamental concepts of supervised and unsupervised learning, illustrated through examples such as linear regression and clustering methods. The module also explores how these ML techniques form the foundation for applications in artificial intelligence (AI).

Course aims: 

Some basic understanding about data and clarity about research question? 

Teaching methods: 

My style is more towards blended learning and peer-review techniques towards the end of the course. 

This course fits doctoral candidates in the following phase: 

☒ Beginn der Promotion / Beginning of the doctorate
☒ Während der Promotion / During the doctorate
☒ Endphase der Promotion / End of the doctorate

Participation requirements: 

Basic statistics

Technical requirements: 

Basic knowledge of R
Basic knowledge of Python

Course preparation: 

No

Category: 
Fachspezifische Veranstaltung
Event type: 
Seminar/Workshop
Organizer: 
Graduate Center of Life Sciences
Responsibility for event: 
Hauptverantwortung
Format: 
Digital/Online
Course Language: 
EN
Course Capacity (Max): 
12
Course capacity (Min): 
5
Duration in hours: 
7
Trainer: 
Dr. Sapna Sharma

I am qualified for university level teaching. I understand the psychology and fear of students well and through my training methods help them widen their scientific knowledge.