Model Answers OCR Biology A2 2010 Student Workbook
Author : Richard Allan
Publisher :
Page : 48 pages
File Size : 45,5 MB
Release : 2009-12-01
Category :
ISBN : 9781877462405
Author : Richard Allan
Publisher :
Page : 48 pages
File Size : 45,5 MB
Release : 2009-12-01
Category :
ISBN : 9781877462405
Author : Tracey Greenwood
Publisher :
Page : 60 pages
File Size : 16,30 MB
Release : 2011-08-01
Category :
ISBN : 9781877462856
Author : Richard Allan
Publisher :
Page : 44 pages
File Size : 45,53 MB
Release : 2009-08
Category :
ISBN : 9781877462412
Author : Allan Greenwood
Publisher :
Page : 288 pages
File Size : 39,72 MB
Release : 2009-08-01
Category :
ISBN : 9781877462382
Author : Richard Allan
Publisher :
Page : 64 pages
File Size : 20,60 MB
Release : 2008-01-01
Category :
ISBN : 9781877462177
Author : Adrian Schmit
Publisher : Hodder Education
Page : 673 pages
File Size : 28,73 MB
Release : 2015-06-26
Category : Science
ISBN : 1471809161
Exam Board: OCR Level: A-level Subject: Biology First Teaching: September 2015 First Exam: June 2016 This is an OCR endorsed resource Encourage students to learn independently and build on their knowledge with this textbook that leads students seamlessly from basic biological concepts to more complicated theories. - Develop experimental, analytical and evaluation skills with activities that introduce the practicals required by OCR and other experimental investigations in Biology - Provide assessment guidance with synoptic questions and multiple choice questions throughout the book, and revision tips and skills all in one chapter - Strengthen understanding of key concepts with contemporary and engaging examples, illustrated with accessible diagrams and images - Give students the opportunity to apply their knowledge and understanding of all aspects of practical work with Test Yourself Questions and Exam Practice Questions - Offer detailed guidance and examples of method with a dedicated 'Maths in Biology' chapter and mathematical support throughout - Develop understanding with free online access to answers, an extended glossary, learning outcomes and topic summaries OCR A Level Biology Student Book 1 includes AS Level
Author : Ben Woolley
Publisher : Cambridge University Press
Page : 625 pages
File Size : 46,85 MB
Release : 2017-07-06
Category : Juvenile Nonfiction
ISBN : 1316644286
New 2017 Cambridge A Level Maths and Further Maths resources help students with learning and revision. Written for the OCR AS/A Level Mathematics specifications for first teaching from 2017, this print Student Book covers the content for AS and the first year of A Level. It balances accessible exposition with a wealth of worked examples, exercises and opportunities to test and consolidate learning, providing a clear and structured pathway for progressing through the course. It is underpinned by a strong pedagogical approach, with an emphasis on skills development and the synoptic nature of the course. Includes answers to aid independent study.
Author : James Thomas Charles Nash
Publisher :
Page : 90 pages
File Size : 29,63 MB
Release : 1915
Category : Diseases
ISBN :
Author : C. J. Clegg
Publisher : Hachette UK
Page : 1031 pages
File Size : 42,65 MB
Release : 2015-01-30
Category : Science
ISBN : 1471841472
This title covers the entire syllabus for Cambridge International Examinations' International AS and A Level Biology (9700). It is divided into separate sections for AS and A Level making it ideal for students studying both the AS and the A Level and also those taking the AS examinations at the end of their first year. - Explains difficult concepts using language that is appropriate for students around the world - Provides practice throughout the course with carefully selected past paper questions at the end of each chapter We are working with Cambridge International Examinations to gain endorsement for this title.
Author : Shai Shalev-Shwartz
Publisher : Cambridge University Press
Page : 415 pages
File Size : 21,76 MB
Release : 2014-05-19
Category : Computers
ISBN : 1107057132
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.