1. Introduction. - Systems engineering. - Biological concepts. - Programming for systems applications. - Old reliable languages. - Newer languages. - Equation solvers. - 2. SIMULATION. - SIMBAS SIMulation in BASic. - Guide for writing simbas programs. - Dissolved oxygen sag curve. - Tricks with simbas. - 3. Process Dynamics. - Dynamic analysis. - Forcing functions. - Controllers. - Distance-velocity lag. - Templates for graphical design or analysis. - Stability. - Linearity. - Open- and closed-loop responses. - Bode diagrams in matlab. - Feedforward control. - Programs for dynamic analysis. - 4. Databases. - Database management. - Spreadsheets. - Electronic databases. - 5. COMPUTER MODELS. - Philosophy. - Curve fitting. - Growth-rate relationships. - Clemson model of activated sludge. - Partial differential equations. - Plume models for air pollution. - Estuarine contaminant simulator. - Fugacity approach. - Observers. - Cellular automata models. - Conclusions. - 6. Hydraulic Networks. - Network principles. - Pipe networks. - More complicated networks. - Software for processes. - 7. Neural Networks. - How many boxes and hidden layers?. - Neural algorithms. - Commercial shells for neural networks. - Discussion. - Bioprocess monitoring and control. - Public domain programs. - 8. Expert Systems. - Common expert systems. - Advanced features of expert systems. - Commercial programs for expert systems. - Applications. - 9. Fuzzy Logic. - Fuzzy operations. - Fuzzy truth. - Fuzzy controllers. - Fuzzy approaches to state estimation. - A little more theory. - 10. Statistical Approaches. - Definitions. - Distributions. - Process performance. - Statistical features of spreadsheets. - Time series analysis. - Extreme value problems. - Independent variables. - Optimization. - Appendices A. Running Dos Programs. - B. INTRODUCTION TO A SPREADSHEET. - C. MATLAB PIPE NETWORK PROGRAM. Language: English