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At a glance... | Syllabus | Models | Code | Lecturer

Q: What is the next "big thing" after "big data"?

A: Well, after "data collection" comes "model construction" so the next big thing after big data will be "big modeling". In this subject, students will learn how to represent, execute, and reason about models. Our case studies will come from software engineering but the principles of this subject could be applied to models in general.

FYI- our name is MASE, rhymes with "base", pronounced "mace". MASE = "why" + "how" of search-based optimization for exploring models (with Coding examples in Python 2.7+.)

 <td align=center><img src="img/lectures.gif">
News Lectures Homework Review Cool stuff
2. New video archive
1. NASA Internship
0. News archive.
  1. Gadgets
  2. DE
  3. Effort Estimation (Dr. Hoa's talk)
  4. DSLs
  5. MaxWalkSat
  6. SA 101
  7. Abstraction
  8. SBSE 101
  9. About
10. Code7
9. Code6
8. Code5
7. Python:TDD
6. Video:TDD
5. Video:Read12..
4. Code4
3. Code3
2. Code2
1. Code1
0. Read123456789
  1. Review6
  2. Review5
  3. Review4
  4. Review3
  5. Review2
  6. Review1
11. Cxt manager2
10. Cxt manager1
9. auto norm
8. SA calc
7. Goals; history
6. Relax, paper
5. Tuned
4. Brief
3. Glory
2. Doubt:: notes,mod
1. Beauty
0. Eureqa! pdf | talk

Copyright © 2015 Tim Menzies. This is free and unencumbered software released into the public domain.
For more details, see the license.

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Teachning materials for Model-based Automated Software Engineering

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