This book presents a fresh, new approach to systems analysis and modeling with a systems science flavor that stimulates systems thinking. After introducing systems modeling principles, the ensuing wide selection of examples aptly illustrate that anything which changes over time can be modeled as a system. Each example begins with a knowledge base that displays relevant information obtained from systems analysis. The diversity of examples clearly establishes a new protocol for synthesizing systems models. * Macro-to-micro, top-down approach * Multidisciplinary examples * Incorporation of human knowledge to synthesise a systems model * Clear and concise systems delimitation * Complex systems using simple mathematics * "Exact" reproduction of historical data plus model generated secondary data * Systems simulation via systems models.