Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to content

Latest commit

 

History

History
107 lines (87 loc) · 3.79 KB

README.md

File metadata and controls

107 lines (87 loc) · 3.79 KB

home | copyright ©2016, tim@menzies.us

overview | syllabus | src | submit | chat


Home

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+.)

News Lectures Homework Review Workshop Cool stuff
12. Other algorithms
11. Stats
10. Performance
9. Particle Swarms
8. Differential Evolution
7. MaxWalkSat
6. DSLs
5. SSBSE
4. SA
3. Python tips
2. Some Python notes
1. About MASE
0. Reading12345678
7. hw789
6. hw6
5. hw5
4. hw4
3. hw3
2. hw2
1. hw1
10. review10
9. review9
8. review8
7. review7
6. review6
5. review5
4. review4
3. review3
2. review2
1. review1
0. review0
4. ws4
3. ws3
2. ws2
1. ws1