(IN0012, IN2106, IN2175, IN2128) → ❗️formerly ****JST Practicum

*Course hosted by Center for Software Engineering Excellence (CSEE) and Rostlab at Technical University of Munich (TUM)

<aside> 🕓 Offered Term: Summer Semester 26 - OPEN 🟢

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About CSEE: See HERE ❤️

The single best place to learn AI-native Software Engineering to win in the tech industry of tomorrow.

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🚀 Pre-Meeting

<aside> 🚀 Date & Time: Tue, 02/06..02.2025, 18:00-20:00 Pre-Meeting: OVER Slides: view HERE 👈

Follow our Luma event page **HERE 👈** to not miss anything in the future

Note: Participation in the Pre-Meeting was neither mandatory nor reason for exclusion from the application process.

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• Zoom (full invite)

✍️ Application

<aside> ❗ Instructions:

1. Submit the application form: Submit HERE 👈  (Deadline: Feb 17th, 23:59**)**
2. Register on the TUM Matching System and prioritise the Practicum: Software Engineering & Applied AI (IN0012, IN2106, IN2175, IN2128)

Tipp 🍀: Please prepare a convincing CV (1-3 pages + references, project screenshots, …) and brief yet personal motivation letter.

• 👉 Open to see example for good CV format </aside>

• Additional Info

<aside> <img src="https://prod-files-secure.s3.us-west-2.amazonaws.com/63126450-1b67-4acc-9ce7-e9f36274bffd/18831f51-8df0-44bb-a548-b57120c0606f/Group_1073.png" alt="https://prod-files-secure.s3.us-west-2.amazonaws.com/63126450-1b67-4acc-9ce7-e9f36274bffd/18831f51-8df0-44bb-a548-b57120c0606f/Group_1073.png" width="40px" /> Practical Course - Technical Project Leadership (TPL)

Outstanding and highly motivated developers with a proven track record of successfully leading teams (≥1 reference needed) are welcome to apply as Technical Project Leads.

<aside> 👉 Apply here

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Previous Partners

👁️ Course Overview

<aside> 🎓 Degree-relevant Info

Credits: 10 ECTS

Course type: Bachelor/Master Practical Course

Module Numbers: IN0012, IN2106, IN2128, IN2175

Participants: 40-60 (varying)

Acceptance rate: 6-8%

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<aside> 👑 **What we provide

AI-native Software Engineering Experience:** The only course that will guarantee a successful leap into the tech industry.

Hands-on experience in designing and building relevant modern data-driven software applications in an agile development environment together with leading innovators in the industry.

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<aside> 🏅 Recognition & Awards

300+ nominations (65%) for best teaching at TUM’s CIT in the past 2.5 years.

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