Software Security Course Overview Description Goal Text Books Course Schedule Prerequisites Tentative Course Project Teaching Assistant Contact Information Introduction to Software Security Background Root Cause of the Security Problems Vulnerability Exploits

18.1 Introduction 18.2 C++ 18.3 A Simple Program: Adding Two Integers 18.4 C++ Standard Library 18.5 Header Files 18.6 Inline Functions 18.7 References and Reference Parameters 18.8 Empty Parameter Lists 18.9 Default Arguments 18.10 Unary Scope Resolution Operator 18.11 Function Overloading 18.12 Function Templates 18.13 Introduction to Object Technology and the UML 18.14 Wrap-Up

一、课程简介 二、课程的定位与目标 三、课程的结构与内容 四、课程的教学形式 五、课程的考核形式 六、课程的参考书籍 七、目前的准备工作

1 Introduction 2 Load Flow Analysis 3 Economic Operation of Power Systems 4 Optimal Load Flow 5 Unit Commitment 6 Load Frequency Control 7 Control of Interconnected Systems 8 Voltage and Reactive Power Control 9 Introduction to Advanced Topics

1 Introduction 2 Real and Complex Wigner matrices 3 Hermite polynomials, spacings, and limit distributions for the Gaussian ensembles 4 Some generalities 5 Free probability

❑ 1.1 Introduction ❑ 1.2 Overview on Manufacturing Process ❑ 1.3 The MOS(FET) Transistor ❑ 1.3.1 I-V/C-V characteristics (self-learning) ❑ 1.3.2 SPICE Models ❑ 1.4 Process Variations

1.1 Wireless Channels 1.2 Single Antenna Channels 1.3 Multiple Antenna Channels 1.4 Introduction of Random Matrix

1Introduction 2Organization of This Paper 3Introduction to SVD and Waves—Sets of Point Sources and Receivers 4Introductory Example—Three Sources and Three Receivers 5Scalar Wave Examples with Point Sources and Receivers 6Mathematics of Continuous Functions, Operators, and Vector Spaces 7Communications Modes and Common Families of Functions 8Extending to Electromagnetic Waves 9Quantizing the Electromagnetic Field Using the M-Gauge 10Linear Scatterers and Optical Devices 11Mode-Converter Basis Sets as Fundamental Optical Descriptions 12Conclusions

◼ Introduction to the Immune System ◼ Artificial Immune Systems ◼ A Framework to Design Artificial Immune Systems (AIS) ◼ Representation Schemes ◼ Affinity Measures ◼ Immune Algorithms ◼ Discussion and Main Trends

An Introduction to Model Building Basic Linear Algebra Introduction to Linear Programming The Simplex Algorithm and Goal Programming Sensitivity Analysis: An Applied Approach Sensitivity Analysis and Duality Transportation, Assignment, and Transshipment Problems Network Models Integer Programming Advanced Topics in Linear Programming Nonlinear Programming Review of Calculus and Probability Decision Making under Uncertainty Game Theory Deterministic EOQ Inventory Models Probabilistic Inventory Models Markov Chains Deterministic Dynamic Programming Probabilistic Dynamic Programming Queuing Theory