# Maths and Computer Science

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Attwood, Greg,

Aronova, E. A.

Pervasive computing : engineering smart systems

Cividjian, Natalia,

History of science and the emotions

Dror, Otniel Yizhak,

Foundational Java : key elements and practical programming

Parsons, David. (2012)

Attwood, Greg,

Smart, Nigel P.

Augmented reality : principles and practice

Schmalstieg, D.

Poundstone, William(1992)

Pattanayak, Santanu

Stuck in the shallow end : education, race, and computing

Margolis, Jane

Real-world algorithms : a beginner's guide

Louridas, Panos

Heathcote, P. M.

Friedman, Daniel P

Distributed algorithms : an intuitive approach

Fokkink, Wan,

Aukstakalnis, Steve

Scientific programming and computer architecture

Viswanath, Divakar,

The data science design manual

Skiena, Steven S.,

The Python workbook : a brief introduction with exercises and slutions / Ben Stephenson

Stephenson, Ben.(2016)

Frontiers of multimedia research

Chang, Shih-Fu,

Attwood, Greg,

Programmed visions : software and memory

Chun, Wendy Hui Kyong, (2011)

Science communication : a practical guide for scientists

Bowater, Laura.(2013)

Basic elements of computational statistics

Härdle, Wolfgang,

Dawn of the new everything : a journey through virtual reality

Lanier, Jaron. (2017)

The VR book : human-centered design for virtual reality

Jerald, Jason,

Edexcel A level Mathematics Statistics & Mechanics Year 2 Textbook

Attwood, Greg.(2017)

Close to the machine : technophilia and its discontents

Ullman, Ellen.(2013)

Hidden figures : the untold story of the African American women who helped win the space race

Shetterly, Margot Lee,

Digital keywords : a vocabulary of information society and culture

Peters, Benjamin,

Skew fields : theory of general division rings

Cohn, P. M. (1995)

Computational Topology: An Introduction

Edelsbrunner, Herbert

Time series analysis and its applications : with R examples

Shumway, Robert H.,

Theoretical mechanics of particles and continua

Fetter, Alexander L., (2003)

An introduction to frames and Riesz bases

Christensen, Ole,

Introduction to machine learning with Python : a guide for data scientists

Müller, Andreas C.,

Multilevel analysis : an introduction to basic and advanced multilevel modeling

Snijders, Tom A. B.(2012)

The linear model and hypothesis : a general unifying theory

Seber, George.(2016)

Programming for the puzzled : learn to program while solving puzzles

Devadas, Srinivas,

Dynamic documents with R and knitr

Xie, Yihui

Darkweb cyber threat intelligence mining

Robertson, John

A primer on mapping class groups

Farb, Benson.(2012)

An introduction to mathematical reasoning : numbers, sets, and functions

Eccles, Peter J., (1997)

Common sense, the Turing test, and the quest for real AI

Levesque, Hector J.,

Computer systems performance evaluation and prediction

Fortier, Paul J.(2003)

Lang, Serge, (1988)

Morphogenesis of urban networks

Barthelemy, Marc.(2016)

Cloud computing for science and engineering

Foster, Ian,

L.E.J. Brouwer: Topologist, Intuitionist, Philosopher: how mathematics is rooted in life

van Dalen, Dirk(2013)

Eye tracking methodology : theory and practice

Duchowski, Andrew T.,

Perturbations, optimization, and statistics

Hazan, Tamir,

Mathematics education with digital technology

Knights, Carol.; Oldknow, A. J. (2011)

Foundations for designing user-centered systems : what system designers need to know about people

Ritter, Frank E.,

Proofs without words : exercises in visual thinking

Nelsen, Roger B.,

Proofs without words II : more exercises in visual thinking

Nelsen, Roger B.(2000)

Bloch, Joshua,

After Gödel : Platonism and rationalism in mathematics and logic

Tieszen, Richard L.(2011)

Tieszen, Richard L.,

Miura, Kōryō,

Artificial intelligence : a modern approach

Russell, Stuart J.

Problem-solving through problems

Larson, Loren C., (1983)

Engel, Arthur.(1998)

Mancosu, Paolo.(2010)

Knapp, Anthony William, (2007)

Bowles, David,