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College-Level Teaching

All college courses were taught voluntarily, within the computer science department for organizational convenience. However, most of these courses were intended for and attended by students of all sciences.

Advanced Java (LSU CSC 1351: 2015, 2016, 2017)

Required for computer science majors, co-taught with other faculty

• Classes and Inheritance, recursion, sort and search algorithms
• Data structures: arrays, linked lists, stacks, queues, binary trees, hash maps

Scientific Scripting: Python (LSU CSC 4700: 2015)

Organized and co-taught with other faculty and designed as a guide to the emerging scientist, with focus on individual needs of students

• Handling large scientific data in Python (NumPy, hdf5, SciPy)
• Scientific visualization for debugging and publishing (MatplotLib)
• Scientific simulation prototyping in Python

Scientific Computing, undergraduate level (LSU CSC 2700: 2014)

Organized and co-taught with other teaching personnel, designed as a very practical course for students of all sciences

• Linux basics, secure shell, versioning systems, MatplotLib, Latex
• Collaboration and project management
• Compiling, debugging and profiling

Advanced Data Structures and Algorithm Analysis (LSU CSC3102: 2014)

Required for computer science majors, co-taught with other faculty

• Data structures: types and handling of linked lists, trees, hashes
• Algorithms and their properties: searching, sorting, scaling

Scientific Computing, graduate level (LSU CSC7700: 2010, 2011, 2012, 2013)

Organized and co-taught with other faculty, designed for advanced computational needs of graduate students; varying topics from year to year

• Basic skills, e.g., parallelization, performance analysis, sources of errors and numerical precision, overview of numerical methods and partial differential equations
• The future of computing: parallel programming using MPI and emerging new alternatives
• Scientific Visualization: scope and concepts, differential geometry, vector calculus, geometric algebra, OpenGL programming, file formats for large-scale data visualization

Lectures at the APCTP International School on Numerical Relativity and Gravitational Waves, Pohang, South Korea: 2011

• Basics of finite-difference HPC codes
• Build your own simulation: The Einstein Toolkit

Completed the LaSIGMA Online Scientific Teaching Institute: a 5 week online course in best practices in STEM teaching: 2015

• Introduction to research-based best practices in teaching
• Exploration of the research literature on teaching and learning in STEM classrooms
• Examination of research-based methods for engaging students in both large and small classes

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Non-College Teaching

Invited elementary school Astronomy classes

• Semi-regular classes at local elementary school, covering topics from the solar system to neutron stars, black holes, and gravitational waves

Courses at high school summer camp "Beowulf Bootcamp"

• How to solve a simple computational physics problem in parallel
• Design of a mid-size cluster from Raspberry Pis and Lego pieces

Coach of elementary school robotics teams

• Design and programming principles using Lego Mindstorms
• Competing on US-state level

Mentor of high school robotics team

• Design and programming large-scale robots from scratch
• Competing up to world championship level

Certified instructor of Tang Soo Do Karate

• Extensive experience as primary instructor of all ages