About this page

This page is the student discussion hub for Lecture Machine Learning for Regulatory Genomics (IN2393) at Technische Universität München. Students who have taken or are currently taking Lecture Machine Learning for Regulatory Genomics (IN2393) use AskYourClass to share honest, peer-to-peer feedback, the kind of information that never appears in an official course description or syllabus.

Whether you are deciding whether to enrol in Lecture Machine Learning for Regulatory Genomics (IN2393) or preparing for an upcoming exam, you will find answers to the questions that matter most: how much time the course actually takes each week, how demanding the exams are, what the teaching style is like, and which resources other students found most useful. You can also discuss tutor sheets and weekly problem sets with peers, ask where you are stuck, compare approaches, and work through exercises together.

• Student discussions: Organised by topic: Feedback, Exam Tips, General questions, and more. Ask anything about Lecture Machine Learning for Regulatory Genomics (IN2393) and get answers from students who have been there.
• Tutor sheets & problem sets: Stuck on a weekly exercise for Lecture Machine Learning for Regulatory Genomics (IN2393)? Discuss tutor sheets and problem sets with peers, compare solutions, and work through the tricky parts together.
• Workload & difficulty ratings: Aggregated ratings from Technische Universität München students on weekly time commitment, exam difficulty, and overall teaching quality.
• Peer-shared resources: Past exam papers, summaries, lecture notes, and reading recommendations uploaded by students who took Lecture Machine Learning for Regulatory Genomics (IN2393).
• Course channels: Dedicated spaces for each topic area within Lecture Machine Learning for Regulatory Genomics (IN2393), so conversations stay focused and easy to follow.