Wednesday, September 13, 2006

WH, Ch. 18, Sec., 3 Britain at Mid-Century

World History, Chapter 18 Section 3, Britain at Mid-Century

"Amazing transformation"
1. Lesson Plan Focus
Britain's island location, colonial possessions, favorable business climate, and powerful navy contributed to its rise to world power. Britain's constitutional government, with political parties, a prime minister, and a cabinet, was more democratic than other European governments. Still, most political and economic power was still held by a ruling class of landowning aristocrats.

Vocabulary, p. 466
constitutional government
prime minister

Caption, p. 456
Map, p. 457
Caption, p. 458
Caption, p. 459

2. In-class Instruct

Organize students into small groups and assign them to outline the major ideas of this section. Advise them to make good use of the boldface heads and structure of the section. Each group can make up five questions that cover the content of the section. Encourage students in the other groups to answer the questions.

3. Close
Choose several of the questions for use of the next quiz/test.

Section 3 Assessment, p. 459 #1, 3-5
Extra Credit 6-7

"Evolutionary Scheduling: A Review," Hart, E., Ross P., Corne D. Genetic Programming and Evolvable Machines 6(2): 191-220.

Review Number: 54703

Evolutionary Scheduling

“Evolutionary Scheduling: A Review” Hart E., Ross P., Corne D. Genetic Programming and Evolvable Machines 6(2): 191-220.
This review article is of substantial value for those who need an update on research material that applies evolutionary computing methods to scheduling problems. The last major survey has not been performed since 1999, when a major statement emerged from the European Network of Excellence on Evolutionary Computing (EVONET). The three co-authors here have done an admirable overview and report on “current trends, achievements, and suggesting the way forward” (191) in this regard. In particular, this article is of wide interest since the ideas can be applied to many common scheduling issues such as job-shop scheduling problems, an area much discussed in academic literature. The authors point out that algorithms today are capable of tackling enormous and difficult real-world problems, a major advance over earlier surveys such as the EVONET report.