Semester 2 2023, Universidad de Antofagasta:
Advanced Astronomy II (Astronomía Avanzada II), postgraduate course
summary:
In this course as part of the graduate program in astrophysics and astroinformatics (Programa de Doctorado en Astrofísica y Astroinformática), graduate students will obtain knowledge in advanced topics of astronomy ranging from stars and interstellar matter to quasars. In addition to being the course coordinator, I was responsible for the following lectures:
The Evolution of Binary and Multiple Star Systems (I, II)
The Physics of Galaxy Evolution (I, II, III)
Semester 2 2023, Universidad Diego Portales:
INSANE Workshop
summary:
Postgraduate workshop on LSST/ all-sky surveys, including LSST alert broker software demonstration, department seminar talk and two lectures
“Mapping the Universe with Variable Stars and Machine Learning” and “Modern All-Sky Surveys: LSST and its Software Universe”. More information:
https://ingenieriayciencias.udp.cl/2023/08/21/astronoma-nina-hernitschek-ofrecera-clases-magistrales-en-la-udp-en-una-nueva-version-de-insane/
Semester 2 2023, NoirLAB/AURA:
La Serena School for Data Science 2023, postgraduate course
summary:
In this 2 week workshop with lecturers from Chile and abroad, I was responsible for lectures on the following topics:
Autoencoders
CNN: the receptive field
CNN: regularization, saliency, interpretation
State-of-the Art/ Transfer Learning
In addition, I was supervising 2 student projects.
Semester 1 2023, Universidad de Antofagasta:
Advanced Machine Learning (Aprendizaje de máquinas avanzado), postgraduate course
summary:
In this course as part of the graduate program in astrophysics and astroinformatics (Programa de Doctorado en Astrofísica y Astroinformática), graduate students will obtain knowledge in using and developing advanced machine learning algorithms. Also other advanced techniques in data analysis in the context of machine learning will be addressed. Practical exercises and student-led project-based work will accompany the techniques addressed in the lectures.
contents:
artificial neural neural networks, including their training, and advanced techniques such as convolutional neural networks and recurrent neural networks
autoencoders
reinforced learning
architecture of machine learning projects
course website:
https://github.com/ninahernitschek/advanced_machine_learning
Semester 2 2022, Universidad de Antofagasta:
Dwarf Galaxies, postgraduate course
summary:
Guest lectures of various researchers on different topics regarding dwarf galaxies.
course website:
https://github.com/ninahernitschek/dwarf_galaxies
Summer 2022, Universidad de Antofagasta:
Advanced Astroinformatics (Lecciones en Astroinformática Avanzada) - project
summary:
10 week group project on variability detection and classification in astronomical datasets.
Programming using Python 3.x.
Machine learning concepts, project architecture/ processing pipelines, machine learning algorithms with Python packages such as Scikit-Learn.
Project as case study.
course website:
https://github.com/ninahernitschek/advanced_astroinformatics
Spring 2022, Vanderbilt University:
ASTR 3890 - Selected Topics: Data Science for Large Astronomical Surveys
summary:
Astrostatistical and computational techniques for processing time-series data from large astronomical surveys.
Introduction in the usage of astronomical catalos such as SDSS and Gaia to retrieve time-series data.
Probability theory, comparison of frequentist and Bayesian inference. Strategies for data exploration and visualization.
Approaches for parameter estimation, model selection (e.g. Markov chain Monte Carlo) and machine learning using Python packages such as Scikit-Learn.
course website:
https://github.com/ninahernitschek/astr3890
mentoring/ supervising student projects
In addition, I'm regularly supervising undergraduate and graduate students (astronomy, physics, computer science, data science, mathematics) for REU, Vanderbilt Immersion, as well as other internships and thesis projects.
If you are interested, please let me know.