Learning Targets:

1. Measure radiation intensities and dynamic variations using calibrated instruments paired with Python-based analytics frameworks.

2. Analyze the impact of solar flares, coronal mass ejections, and other stellar phenomena on satellite operations via spectral and temporal analysis techniques.

3. Design, simulate, and implement hazard mitigation protocols leveraging systematic modeling and real-time data validation methods.

Modules

Learning Targets:

1. Classify extremophiles by employing remote sensing data and laboratory simulation experiments to measure biological tolerance thresholds.

2. Evaluate geological and atmospheric properties of planetary bodies and exoplanets through advanced data modeling and observational analysis.

3. Correlate terrestrial and space-based datasets to construct comprehensive indices of planetary habitability and environmental stress.

4. Analyze the influence of binary, variable, and other atypical star systems on the potential for supporting life using comparative astrophysical techniques.

Modules

Learning Targets:

1. Implement state-of-the-art computational frameworks, including SPICE, MATLAB, and Python libraries, to simulate varied space weather events.

2. Conduct rigorous trend analysis using statistical tools to forecast space weather conditions with high temporal resolution.

3. Refine and validate simulation outputs by cross-referencing real-time observational data through iterative optimization techniques.

Modules

Learning Targets:

1. Quantitatively evaluate radiation exposure in various space environments using advanced detection systems and calibrated instrumentation.

2. Design and execute experimental protocols to simulate radiation impacts on both biological tissues and engineering materials.

3. Optimize shielding materials and protective strategies by performing systematic risk assessments and simulation validations.

Modules

Learning Targets:

1. Identify and apply advanced engineering techniques for the extraction and processing of extraterrestrial resources using simulation case studies.

2. Assess the economic, logistical, and technical feasibility of ISRU technologies with quantitative analytical frameworks and cost-benefit models.

3. Integrate simulation models with empirical data to optimize resource utilization strategies and enhance mission planning efficiency.

Modules

Learning Targets:

1. Develop comprehensive research proposals combining astrophysics, astrobiology, and engineering perspectives with clear, evidence-based objectives.

2. Critically evaluate scientific literature and experimental data to identify gaps and propose improvements in current space safety practices.

3. Collaborate effectively within cross-disciplinary teams by applying advanced design thinking and problem-solving methodologies to address complex space hazards.

Modules

Learning Targets:

1. Utilize Python-based libraries and statistical software to analyze large-scale datasets for precise identification of environmental trends.

2. Implement rigorous simulation models using SPICE, MATLAB, and custom-built frameworks to assess the dynamic behavior of space weather phenomena.

3. Perform iterative risk assessments and validation exercises to refine simulation outputs and optimize hazard management strategies.

Modules

Learning Targets:

1. Formulate detailed project plans that integrate technical, analytical, and managerial skills tailored to space science challenges.

2. Apply advanced communication strategies to effectively present interdisciplinary research findings to technical and non-technical audiences.

3. Demonstrate leadership by mentoring peers, managing collaborative projects, and employing strategic problem-solving in space-related initiatives.

Modules