Hacking Exercise For Health. The surprising new science of fitness. Course Syllabus

Full curriculum breakdown — modules, lessons, estimated time, and outcomes.

Overview (80-120 words) describing structure and time commitment.

Module 1: Exercise Science Fundamentals

Estimated time: 4 hours

  • Muscle physiology and fiber types
  • Energy systems: ATP-PC, glycolytic, and oxidative pathways
  • Cardiorespiratory fitness metrics
  • Heart rate zone training
  • Biomechanics analysis basics

Module 2: Metabolic Optimization

Estimated time: 4 hours

  • High-Intensity Interval Training (HIIT) vs. steady-state cardio
  • Insulin sensitivity and exercise
  • Excess post-exercise oxygen consumption (EPOC)
  • Case studies in metabolic conditioning

Module 3: Practical Application

Estimated time: 4 hours

  • Designing strength and endurance programs
  • Proper exercise form and technique
  • Recovery protocols and injury prevention
  • Periodization and progression strategies

Module 4: Health Optimization

Estimated time: 4 hours

  • Exercise for longevity and aging
  • Stress management through physical activity
  • Disease prevention strategies
  • Wearable technology and fitness tracking

Module 5: Personalized Exercise Programming

Estimated time: 3 hours

  • Assessing individual fitness levels
  • Customizing workouts for goals and limitations
  • Evidence-based program adjustments

Module 6: Final Project

Estimated time: 5 hours

  • Design a personalized 4-week fitness plan
  • Apply metabolic and health optimization principles
  • Include tracking methods and progress assessments

Prerequisites

  • Basic understanding of human anatomy
  • Access to simple fitness equipment (e.g., resistance bands, bodyweight space)
  • Familiarity with digital tracking tools (optional)

What You'll Be Able to Do After

  • Apply science-backed exercise principles to improve health and fitness
  • Design time-efficient, personalized workout programs
  • Optimize metabolism through targeted training strategies
  • Track progress using data-driven methods
  • Implement injury prevention and recovery techniques
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