An Introduction to Crime Scene Investigation – Aric W. Dutelle

Bloodstain Pattern Analysis with an Introduction to Crime Scene Reconstruction, 3rd Edition

Tom Bevel, Ross M. Gardner, "Bloodstain Pattern Analysis with an Introduction to Crime Scene Reconstruction, 3rd Edition"
English | 2008 | ISBN: 1420052683 | 440 pages | PDF | 23.28 MB
Bloodstain Pattern Analysis: With an Introduction to Crime Scene Reconstruction, Second Edition

Bloodstain Pattern Analysis: With an Introduction to Crime Scene Reconstruction, Second Edition by Tom Bevel
English | 2001 | ASIN: B001CD3PR4 | 424 Pages | PDF | 15.73 MB
Bloodstain Pattern Analysis: With an Introduction to Crime Scene Reconstruction, Second Edition

Bloodstain Pattern Analysis: With an Introduction to Crime Scene Reconstruction, Second Edition By Tom Bevel, Ross M. Gardner
2001 | 424 Pages | ISBN: 0849309506 | PDF | 16 MB

An Introduction to Statistics  eBooks & eLearning

Posted by AvaxGenius at Aug. 21, 2022
An Introduction to Statistics

An Introduction to Statistics by Arthur H. Hall
English | PDF | 145 Pages | 1978 | ISBN : 1349031488 | 13 MB

With the upsurge of interest in statistics in recent years it not infrequently happens that courses have to be taken by teachers whose primary interest has been another subject or whose personal experience has been more theoretical than practical. It is hoped that the wide range of data used in both examples and exercises will prove of value to them. O.N.D. assessors have not been slow to point out the limited use of suitable material in papers submitted to them. And examiners in general try to widen the scope of their question papers in their efforts to beat the pure crammers!

An Introduction to UX Design with James Eccleston  eBooks & eLearning

Posted by envasel at May 24, 2022
An Introduction to UX Design with James Eccleston

An Introduction to UX Design with James Eccleston
MP4 | Video: h264, yuv420p, 1920x1080 | Audio: aac, 48000 Hz | Duration: 1h 04m | 740 MB
Genre: eLearning | Language: English

UX design is fluid and constantly evolving as new ideas and ways of working are created but at its core there are principles that every new designer should understand. Learning the Principles and process of UX design will help your work connect with its users. This UX Course is also useful for seasoned designs to review these foundations and check if they are applying them to their work.

Illustrated Guide to Crime Scene Investigation (Repost)  eBooks & eLearning

Posted by insetes at Dec. 1, 2018
Illustrated Guide to Crime Scene Investigation (Repost)

Illustrated Guide to Crime Scene Investigation By Nicholas Petraco, Hal Sherman
2005 | 488 Pages | ISBN: 0849322634 | PDF | 33 MB
The Melancholy Science: An Introduction To The Thought Of Theodor W. Adorno (Repost)

The Melancholy Science: An Introduction To The Thought Of Theodor W. Adorno By Gillian Rose
2014 | 212 Pages | ISBN: 178168152X | EPUB | 4 MB

An Introduction to Crime and Crime Causation  eBooks & eLearning

Posted by interes at March 7, 2019
An Introduction to Crime and Crime Causation

An Introduction to Crime and Crime Causation by Robert C. Winters, Julie L. Globokar, Cliff Roberson
English | 2014 | ISBN: 1466597100 | 323 pages | PDF | 2 MB

An introduction to crime and criminology  eBooks & eLearning

Posted by Free butterfly at Dec. 14, 2020
An introduction to crime and criminology

An introduction to crime and criminology by The Open University
English | December 12, 2019 | ISBN: N/A | ASIN: B082Y6HQ5H | 66 pages | PDF | 0.65 Mb

Beginning R: An Introduction to Statistical Programming (Repost)  eBooks & eLearning

Posted by AvaxGenius at March 1, 2021
Beginning R: An Introduction to Statistical Programming (Repost)

Beginning R: An Introduction to Statistical Programming by Larry Pace
English | PDF | 2012 | 322 Pages | ISBN : 1430245549 | 8.35 MB

Beginning R: An Introduction to Statistical Programming is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. R is a powerful open-source implementation of the statistical language S, which was developed by AT&T. R has eclipsed S and the commercially-available S-Plus language, and has become the de facto standard for doing, teaching, and learning computational statistics.