Microscopic Image Analysis Group: Prof. Dr. Michael Habeck ()
Biomolecular Photonics Group: Prof. Dr. Christoph Biskup
NanoImaging Group: Prof. Dr. Rainer Heintzmann
Lectures: Wednesday 10.15 a.m. - 11.45 a.m. via zoom meetings, lectures start on Oct 19th, 2021.
Exercise: Wednesday 13.00 p.m. - 14.30 p.m. via zoom meetings, exercises start on Oct 26th, 2021.
Lectures and exercises will be organized via zoom. This will give you the oppotunity to sit always in the first row avoiding problems in reading program code discussed during the lecture. Morerover you will be able to share your code easily during the exercises. Please, use the link below to participate in lectures and exercises: Link: https://uni-jena-de.zoom.us/j/66713820302 The meeting-ID is 66713820302, the passcode is 815394.
Material to the lectures and exercises will be available via moodle. Please, use the link below to get to the moodle course page: Link: https://moodle.uni-jena.de/course/view.php?id=36610 (To be able to enroll to moodle, it is necessary to first register via Friedolin).
Requirements to participate in the course
To be able to participate in the course you need to have access to a computer on which you can install Python, review the program code discussed in the lecture and work on the exercises. Details about the requirements and the installation will be explained during the first lecture.
To participate actively in the zoom sessions, your computer should be equipped with a camera and a headset. If you decide not to use a headset, you must make sure that ambient noise will not be transmitted by your computer microphone and that accoustic feedbackloops are effectively suppressed.
To enroll for this module, please register via Friedolin. You need to register in Friedolin to get access to the moodle website.
To enroll for the exam, it is necessary to register via DOSIS within the first 10 weeks after the start of the lecture period. You will be informed as soon as the DOSIS portal is open..
The solutions of the exercises have to be returned via moodle before the deadline announced in the work sheets and the schedule below (usually Monday 8.00 p.m. Central European Time (CET), not Samoa Standard Time (SST) ).
Solutions to programming tasks (i.e. Python code) have to be submitted in one single “py-file”. Please, use the template which can be downloaded for each exercise from this webpage. Rename the template such that it contains your last name and the number of the week (e.g. my_name_04.py)
Only the code submitted on time via moodle will be considered for the evaluation.
The code must be unique for each person. It will be considered as plagiarism, if two or more similar solutions are submitted.
Detailed rules for the submission and presentation of the solutions to the exercises can be found here.
Schedule & Contents:
Introduction to digital image processing
Introduction to Python
Please note: Slides, a video recording of the lecture and exercises will be available via moodle.
Python I - Homework for next week:
Install the Python 3 Anaconda distribution (Individual Edition) on your computer. It can be downloaded here: https://www.anaconda.com/products/individual. As integrated development environment (IDE) we recommend spyder, which is part of the Anaconda package.
If you are not yet familiar with Python 3, please start with the free tutorial "Learn Python 3 from Scratch" at https://www.educative.io/courses/learn-python-3-from-scratch. The tutorial is free, but requires that you register with your e-mail address. with "educative". Click on the tab "Join for free" at the upper right corner of the website.
Milestones in computer architecture development
The digital logic level
Implementation of Boolean functions
Binary and hexadecimal numbers
Conversion between radices
Negative binary numbers
Introduction to the Python IDE
Introduction to Python
Homework for next week:
Exercises should be submitted until Monday, Oct 31st, 2022, 8.00 p.m. (CET)
The template for the exercises and the solutions to the exercises are available on the moodle website of this course.
A link to the results of the exam will be available here.
* A list of the students belonging to either group is available on the moodle site of this course (Link). If your student ID is not mentioned in one of the lists, but if you believe that you have fulfilled all prerequisites to participate in the exam, please send an e-mail to . Mention "Image Processing Exam" as subject in the header of your e-mail.
A discription about how to find the way to the PC Pool or the lecture hall can be found here.
Please note also, that you will have to wear a face mask (medical surgical mask or FFP2 mask) during the exam. If you have any signs/symptomps that might be indicative for COVID (i.e. elevated temperature, fever or chills, cough, shortness of breath, loss of taste or smell) we ask you to refrain from coming to the exam. See a medical doctor and send his/her medical certificate to Dr. Babovsky.