Objective Pet Workbook

Download

E-Book Overview

Objective PET is a new course from Cambridge University Press. This Workbook accompanies the Student's Book and provides opportunities for further practice. Like Objective First Certificate, it combines improving candidates' overall language level with thorough, systematic exam practice for the revised exam. - Short units maintain interest and give a sense of progress - A wide variety of activities helps to make learning fun and will appeal to younger learners - Lots of opportunities to consolidate and extend the grammar, vocabulary and functions in the Student's Book The Student's Book is in colour and available without answers. The Workbook is available with or without answers. The Teacher's Book contains photocopiable supplementary activities, and a full answer key, recording scripts and lesson notes.

E-Book Information

  • Series: Objective

  • Year: 2,003

  • Edition: Workbook

  • Pages: 66

  • Pages In File: 66

  • Language: English

  • Topic: 188

  • Library: avaxhome.ws

  • Identifier: 9780521805803,0521805805

  • Commentary: 17,960

  • Org File Size: 26,618,443

  • Extension: pdf

You might also like

Introduction To Machine Learning
Authors: Nilsson N.J.    296    0

Encyclopedia Of Energy
Authors: Cleveland C.J. (ed.)    191    0

E-ffective Writing For E-learning Environments
Authors: Katy Campbell    198    0

Russian For Dummies
Authors: Andrew Kaufman Ph.D. , Serafima Gettys Ph.D. , Nina Wieda    165    0

Geometric Group Theory. Geneva And Barcelona Conferences
Authors: Goulnara N. Arzhantseva , Goulnara N. Arzhantseva , Laurent Bartholdi , José Burillo , Enric Ventura    169    0

Operator Algebras: The Abel Symposium 2004
Authors: Lawrence G. Brown , Gert K. Pedersen (auth.) , Ola Bratteli , Sergey Neshveyev , Christian Skau (eds.)    226    0

Transformation Groups For Beginners
Authors: S. V. Duzhin , B. D. Chebotarevskii    115    0

физическая энциклопедия
Authors: Гл. редактор А.М.Прохоров    261    0

Dungeons & Dragons For Dummies
Authors: Bill Slavicsek , Rich Baker , Jeff Grubb    209    0

Bioinformatics: The Machine Learning Approach
Authors: Pierre Baldi , Søren Brunak    136    0