Masterpraktikum - Applications for analysis of integrated circuit layout images (IN2106, IN0012, IN4298)
Masterpraktikum - Applications for analysis of integrated circuit layout images (IN2106,IN0012, IN4298)
Course 0000002127 in SS 2021
General Data
| Course Type | practical training |
|---|---|
| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 6 - Chair of Robotics, Artificial Intelligence and Real-time Systems (Prof. Knoll) |
| Lecturers |
Alexander Lenz Responsible/Coordination: Alois Christian Knoll |
| Dates |
Assignment to Modules
-
IN2106: Master-Praktikum / Advanced Practical Course
This module is included in the following catalogs:- Further Modules from Other Disciplines
Further Information
Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.
| additional remarks | Please contact ac.kilian@tum.de in case you have questions regarding this course! CONTENT: This lab-course is suitable for all students who want to experience industry-related software development first-hand. The goal of the lab-course is to create a publicly available web application with Python that allows the benchmarking of image data and processing algorithms relevant to hardware security at the microchip level. As in a real software development team, the students will be equipped with the required domain knowledge and will have the opportunity to exchange ideas with experts from the cooperation partners Infineon Technologies AG and Fraunhofer EMFT. Overall, this course offers you the following experiences: · Developing an application from scratch · Immersion in the stepd of software development · Weekly standup and work meetings · Holding a final presentation to share the project. PREVIOUS KNOWLEDGE EXPECTED: · Experience in Python or a related language is required · Experience in web development (front-end and back-end) is beneficial · Experience in image processing with openCV, scikit-learn and Tensorflow is nice to have · Experience in software development and working in an agile team is a plus OBJECTIVE: Students can gain career-relevant experience in software development and practice agile project work. They can build extensive knowledge of web applications with Python in a real industrial use case. LANGUAGE: German and English TEACHING AND LEARNING METHOD: Participants exercise systematic software engineering for a small system in small teams with a precise task description with tight time constraints (design, implementation, test). Final results of the teamwork have to be presented. Design, project plans, and implementation have to be documented. SCHEDULED DATES: · Info meeting: Wednesday, February 3, 2021, 4:00pm – 5:00pm COURSE CRITERIA AND REGISTRATION: For registration you have to be identified in TUMonline as a student, it will take place via the matching system. The application process is structured as follows: · Feel free to attend the info meeting (Wednesday, February 3, 2021, 4:00pm – 5:00pm, https://infineon.webex.com/infineon/j.php?MTID=m51b3f755c4bd132d53408edada93fc45, meeting password: P@$$w0rd1). You will have the chance to ask questions after the meeting. The meeting is not mandatory to participate in the course. If you want access to the slides after the info meeting, write a mail to: ac.kilian@tum.de · Send a short application to ac.kilian@tum.de. The email has to include a brief introduction of oneself, an explanation of one's relevant skills in terms of expected prior knowledge, and a few sentences on the motivation for joining the course. Motivation and personality is key because support is needed at all levels of experience! Deadline: Friday, February 5, 2021 · We invite you to a short remote interview by end of Monday, February 8, 2021 - pick a time slot that works for you. Interviews take place on Tuesday, February 9, 2021 · After we have accepted you (notification Wednesday, February 10, 2021), prioritize the Practical Course " Applications for analysis of integrated circuit layout images" in the matching system of the faculty during voting period |
|---|---|
| Links |
E-Learning course (e. g. Moodle) TUMonline entry |
Equivalent Courses (e. g. in other semesters)
| Semester | Title | Lecturers | Dates |
|---|---|---|---|
| WS 2021/2 | Masterpraktikum - Applications for analysis of integrated circuit layout images (IN2106, IN0012, IN4298) |
Bette, A.
Lenz, A.
Responsible/Coordination: Knoll, A. |