Part I: Introduction and Motivation
1 Space Systems and Definitions Definition of architecture – ways of thinking about architectures; Notion of views

The different worlds of space (Commercial, Civil, Military) + architectures associated with them

Definitions of space systems and satellites – what is a satellite design

Description of different types and classes of space system architectures (communication, navigation, weather, remote sensing, launch)

Exercise in representing a simple architecture from several viewpoints
2 Classic Solutions Classical space systems design (SMAD)

Issues with classical architecting (timescales, things missed, tradeoffs with technology, schedule, cost and risk)

Descriptions of successes and issues with the current process (SBIRS, Iridium, GPS)

Cost Estimating and why is it so difficult
Part II: A New Space Architecture Process
3 Introduction to MATE Need for a new process

Stakeholders - attributes - utilities - tradespaces

Introduction to process - tradespace exploration - MATE-CON

Bounding of problem, selection of Attributes and Design Vector
4 Applied Utility Theory Single attribute utilities; XTOS as an example; SpaceTug as an example

Multi attribute utility; XTOS as an example; SpaceTug as an example

GINA as a example of a utility theory

Issues with utility theory
5 Modeling and Exploring the Tradespace Tradespaces; Multi objectives, performance, cost and Pareto fronts

Exploring the tradespace, lessons from the tradespace for XTOS and SpaceTug

TPF, Broadband, ATOS, BTOS as further examples of tradespace exploration
6 Integrated Concurrent Engineering Integrated Concurrent Engineering

Link to SMAD (relationships used by chairs)

The MATE-CON chair and the changing definition of "requirements"

Exploring families of designs

XTOS and SpaceTug as examples

Concluding words on MATE-CON uses
7 Examples - XTOS and SPACETUG and MATE-CON Simulation Review systems examined with tradespace exploration

Run XTOS and SpaceTug simulations
8 Efficient Searches of Tradespaces Use of Optimization to help in the Engineering Design Process

Optimization Methods (Genetic Algorithms and Simulated Annealing)

Spacecraft Design Optimization

Distributed Space Systems Design Optimization

MMDOSA (as a way to search tradespaces)

Examples (Techsat 21, Broadband, TPF)
9 Uncertainty and Risk Sources of Uncertainty

Clarity Test

Taxonomy of Uncertainty for aerospace products

Uncertainty and Risk

Treatment of Uncertainty in space companies

Advanced Discussion of Uncertainty
1) Irreducible Uncertainty
2) Portfolio Theory
3) Portfolio Applications
10 Flexibility for Space Systems I Introduction and Definition

Taxonomy of flexibility

Real Options and Other Financial Tools
11 Flexibility for Space Systems II Discussion of Homework 10

Flexibility expressed through on-orbit servicing

Provider and Servicer Perspective

Upgrading vrs life extension
12 Policy Issues in Space System Architectures Definition of space policy from several perspectives

US National Space Policy

Another country space policy

Space Policy Heuristics

Policy Architectures and the interaction with technical architectures

Use of real options in policy analysis