-

-

32

34

36

38

40

42

44

46

48

50

52

54

56

-

(Artificial Neural Networks)

GDRGDL

RBF

RBF

1. S. Haykin, Neural Networks: A Comprehensive Foundation, 2nd ed., Prentice Hall, 1998.

2. S. Haykin, Neural Networks and Learning Machines, 3rd ed., Prentice Hall, 2008.

3. R. J. Schalkoff, Artificial Neural Networks, McGraw Hill, 1997.

6. K. Gurney, An Introduction to Neural Networks, 2nd ed., UCL press, 2009.

(Machine Learning)

ZT

Unsupervised

MLMAP

(Supervised)

Classification

LDASVM

QDA

Naïve Bayes

(Graphical Models)

Bayesian NetworksMRF

Kernel

kernel trick

SVM

GP

PCANLPCAKPCA

Local PCA

ICA

MDS

BaggingBoostingAdaboost

Reinforcement

ExplorationExploitationMDP

Q-learning

1. C. Bishop, Pattern Recognition and Machine Learning, Springer, 2006. 2. R. Duda, P. Hart, and D. Stork, Pattern Classification, 2nd ed., Wiley, 2001. 3. R. Tibshirani, T. Hastie, and J. Friedman, The Elements of Statistical

Learning: Data Mining, Inference, and Prediction, 2nd ed., Springer, 2008. 4. B. Scholkopf and A. Smola, Learning with Kernels, MIT Press, 2002. 5. M. Jordan and C. Bishop, Introduction to Graphical Models, 2002. 6. T. Mitchell, Machine Learning, McGraw Hill, 1997.

(Advanced Mathematics for Computer Engineering)

LU

(SVD)

(FFT)

Wavelet

-

1. E. Kreyszig, Advanced Engineering Mathematics with Math Computer Guide Set, 9th ed., John Willey and Sons Inc., 2006.

2. P.V. O’Neil, Advnaced Engineering Mathematics, 6th ed., Cengage-Engineering Inc., New York, 2006.

3. A. Papoulis and S. U. Pillai, Probability, Random Variables, and Stochastic Processes, 4th ed., McGraw-Hill Inc., New York, 2002.

(Statistical Pattern Recognition)

(Generative)

(Sufficient Statistics)

EM)(HMMs)(

(Discriminative)

(Template Matching)

(Clustering)

(Feature Extraction)(Feature Selection)

-

1. R. Duda, P. Hart, and D. Stork, Pattern Classification, 2nd. ed., Wiley, 2001. 2. S. Theodoridis and K. Koutroumbas, Pattern Recognition, 4th ed., Academic

Press, 2008. 3. C. Bishop, Pattern Recognition and Machine Learning, Springer, 2006. 4. A. Webb, Statistical Pattern Recognition, John Wiley & Sons, 2002. 5. S. Theodoridis, A. Pikrakis, K. Koutroumbas, and D. Cavouras, Introduction

to Pattern Recognition: A Matlab Approach, Academic Press, 2010. 6. R. Schalkoff, Pattern Recognition: Statistical, Structural and Neural

Approaches, Wiley, 1992. 7. A. Papoulis and S. U. Pillai, Probability, Random Variables, and Stochastic

Processes, 4th ed., McGrawHill, 2002.

(Digital Image Processing)

On-chip ElectronicKTC

CIE

Engagement

TimeReadout Rate

Refresh RateInterlacingResolution

(Enhencement)

Segmentation

1. R. C. Gonzalez, R. E. Woods, Digital Image Processing, 3rd ed., Prentice Hall, 2007.

2. John C. Russ, Digital Image Processing Handbook, 5th ed., CRC, 2007. 3. T. Acharya and A. K. Ray, Image Processing: Principles and Applications,

John Wiley & Sons, Inc., Hoboken, New Jersey, 2005.

(Machine Vision)

-

Pixelwise Operations

Engineering Transforms

Edge Detection

Segmentation

HLS

CIE/Lab

Texture Analysis

MorphologyShape Description /

1. E.R. Davies, Machine Vision, Theory, Algorithms, Practicalities, 3rd ed., Morgan Kaufmann, 2005.

2. M. Sonka, V. Hlavac, and R. Boyle, Image Processing: Analysis and Machine Vision, 3rd ed., CL-Engineering, 2007.

3. R. Gonzalez and R. E. Woods, Digital Image Processing, 3rd ed., Prentice Hall, 2007.

4. R. Jain, R. Kasturi, and B. Schunck, Machine Vision, McGraw Hill, 1995. 5. W.E. Snyder and H. Qi, Machine Vision, 2nd ed., Cambridge University

Press, 2010. 6. G. Bradski and A. Kaehler, Learning OpenCV: Computer Vision with the

OpenCV Library, O'Reilly Media, 2008.

(Advanced Artificial Intelligence)

GSATWSAT

Bayesian Belief Networks

JTreeBP

MCMC

Statistical Relational Learning

Planning

HMM

Instance based Learning

1. S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, Prentice-Hall, 3rd ed., 2009.

2. D. Koller and N. Friedman, Probabilistic Graphical Models: Principles and Techniques, MIT Press, 2009.

3. U. Nilsson and J. Maluszynski, Logic, Programming and Prolog, 2nd ed., John Wiley & Sons, 2000.

(Knowledge Engineering and Expert Systems)

CLIPSFact

Rule

JESSJava Expert System Shell

JADEJava Agent Development Framework

Protege

Knowledge Representation

Schemata and Frames

ReasoningInference

WFF

-

1. J. Giarratano, and G. Riley, Expert Systems: Principles and Programming, 4th ed., Thomson, 2004.

2. E. Friedman-Hill, JESS In Action, Manning, 2003. 3. P. Jackson, Introduction to Expert Systems, Addison-Wesley, 1990. 4. D.A. Waterman, A Guide to Expert Systems, Addison-Wesley, 1986. 5. F. Hayes-Roth, D.A. Waterman, and D.B. Lenat (eds.), Building Expert

Systems, Addison-Wesley, 1983. 6. P. Harmon and D. King, Expert Systems, John Wiley, 1985. 7. E. Turban, J. Aronson, T. Liang, and R. Sharda, Decision Support and

Business Intelligence Systems, 9th ed., Prentice Hall, 2010.

(Structural Pattern Recognition)

(Syntactic)

(Structural)

Relational

Graph Kernels

1. R. Duda, P. Hart, and D. Stork, Pattern Classification, 2nd. ed., Wiley, 2001. 2. H. Bunke, P. Dickinson, M. Kraetzl, and W. Wallis, A Graph-Theoretic

Approach to Enterprise Network Dynamics, Progress in Computer Science and Applied Logic, Vol. 24, Birkhäuser Boston, 2007.

3. A. Kandel, H. Bunke, and M. Last, Applied Graph Theory in Computer Vision and Pattern Recognition, Studies in Computational Intelligence, Vol. 52, Springer, 2007.

4. M. Neuhaus and H. Bunke, Bridging the Gap between Graph Edit Distance and Kernel Machines, Machine Perception and Artificial Intelligence, Vol. 68, World Scientific, 2007.

5. A. Schenker, A. Kandel, H. Bunke, and M. Last, Graph Theoretic Techniques for Web Content Mining, World Scientific, 2005.

(Digital Signal Processing)

-

DSP

LSI

FFT

Z

ZROC

Z

Z

D/AA/D

IIR

FIR

1. A.V. Oppenheim and M.J. Schafer, Discrete Time Signal Processing, 3rd ed., Prentice Hall, 2009.

2. P. Lynn and W. Fuerst, Introductory Digital Signal Processing with Computer Applications, 2nd ed., Wiley, 1998.

3. M. Hayes, Schaums’ Outline Series on Digital Signal Processing, 2nd ed., McGraw Hill, 2011.

4. R.G. Lyons, Understanding Digital Signal Processing, 3rd ed., Prentice Hall, 2010.

(Information Hiding)

stagnographywatermarking

1. I. Cox, M. Miller, J. Bloom, and J. Fridrich, Digital Watermarking and Steganography, 2nd ed., Morgan Kaufmann, 2007.

2. J. Fridrich, Steganography in Digital Media, Principles, Algorithms and Applications, Cambridge University Press, 2010.

3. S. Katzenbeisser and F. Petitcolas (eds.), Information Hiding Techniques for Steganography and Digital Watermarking, Artech House Inc., Norwod, MA, USA, 2000.

4. M. Arnold, M. Schmucker, and S.D. Wolthusen, Techniques and Applications of Digital Watermarking and Content Protection, Artech House Inc., Norwod, MA, USA, 2003.

5. M. Barni and F. Bartolini, Watermarking Systems Engineering Enabling Digital Assets Security and Other Applications, Marcel Dekker, Inc., Basel, Switzerland, 2004.

(Speech Processing and Recognition)

Speech Estimation

HMMGraphical Models

Acoustic-Phonetic Modeling

Robust ASR

1. L. Rabiner and R. Schafer, Theory and Applications of Digital Speech Processing, Prentice-Hall, 2011.

2. J. Benesty, M. Sondhi, and Y. Huang, (eds.), Springer Handbook of Speech Processing and Speech Communication, Springer, 2008.

3. W. Chu, Speech Coding Algorithms Foundation and Evolution of Standardized Coders, John Wiley & Sons, 2003.

4. F. Everest, The Master Handbook of Acoustics, 4th ed., McGraw Hill, 2001.

(Remote Sensing)

multispectral

1. J. Campbell, Introduction to Remote Sensing, 4th ed., Guilford Press, 2006. 2. W. Rees, Physical Principles of Remote Sensing, 3rd ed., Cambridge

University Press, 2012. 3. J. Jensen, Remote Sensing of the Environment: An Earth Perspective,

Prentice Hull, 2007. 4. F.F. Sabins, Remote Sensing: Principles and Interpretation, 3rd ed., Freeman,

1996.

(Video Signal Processing)

-

.

Block Matching

Full SearchCross SearchThree-Step Search

Motion-Compensated Filtering

Frame Rate Conversion

1. M. Tekalp, Digital Video Processing, Prentice Hall International, 1995. 2. A. Bovik, The essential Guide to Video Processing, Academic Press, 2009. 3. J. Watkinson, The Art of Digital Video, 3rd ed., Focal Press, 2000. 4. K. Jack, Video Demystified, 3rd ed., Llh Technology Publishing, 2001.

(Advanced Topics in Intelligent Systems)

-

(Computer Generated 3D Modeling and Interpretation)

(Solid)

Viewing

Patches, Meshes, B-Splines

Object (Model) Space

Image Space Z-Buffer, A-Buffer

(Rendering)

(CAD)(CAM)

1. I.V. Kerlow, The Art of 3-D Computer Animation and Imaging, 3rd ed., A. K. Peters, Ltd., 2008.

2. J.D. Foley, A. Van Dam, S.K. Feiner, and J.F. Hughes, Computer Graphics: Principles and Practice in C, 2nd ed., Addison-Wesley, 1996.

3. E. Lengyel, Mathematics for 3D Game Programming and Computer Graphics, 2nd ed., (Game Development Serie), Charles River Media, 2003.

4. M. O'Rourke, Principles of Three-Dimensional Computer Animation, 3rd ed., W. W. Norton and Company, 2003.

5. J. White, Designing 3D Graphics: How to Create Real-time 3D Models for Games and Virtual Reality, John Wiley and Sons, 1996.

(Evolutionary Computation)

-

-

DNA

NP

(Evolutionary Programming)

(ADFs)

Cellular Computing

Artificial Life

1. D. Ashlock, Evolutionary Computation for Modeling and Optimization, Springer, 2006.

2. R. Poli, B. Langdon, and N. McPhee, A Field Guide to Genetic Programming, Lulu Enterprises, UK Ltd., 2008.

3. D. Floreano and C. Mattiussi, Bio-Inspired Artificial Intelligence: Theories, Methods, and Technologies, MIT Press, 2008.

4. T. Bäck, Evolution Strategies, Evolutionary Programming, Genetic Algorithms, Oxford University Press, New York, 1996.

5. K. De Jong, Evolutionary Computation: A Unified Approach, MIT Press, 2006.

(Fuzzy Systems and Methods)

-

Fuzzy Arithmetic

FuzzifiersDefuzzifier

Table Look-Up

GD

RLS

Clustering

Classification

Fuzzy Linear Programming

Possibilitry Theory

Neuro-Fuzzy

1. L. Wang, A Course in Fuzzy Systems and Control, Prentice Hall, 1997. 2. J. Jang and C. Sun, Neuro-Fuzzy and Soft Computing, Prentice Hall, 1997. 3. M. Bergmann, An Introduction to Many-Valued and Fuzzy Logic:

Semantics, Algebras, and Derivation Systems, Cambridge University Press, 2008.

4. T. Ross, Fuzzy Logic with Engineering Applications, Wiley, 3rd ed., 2010.

(Robotics)

Actuators

Kinematics

Trajectory Planning

Mobile Robots

1. B. Siciliano, L. Sciavicco, L. Villani, and G. Oriolo, Robotics: Modelling, Planning and Control, Springer, 2009.

2. S. Thrun, Probabilistic Robotics, Communications of the ACM, Vol. 45, No. 3, March 2002.

3. F. Martin, Robotic Explorations: A Hands-On Introduction to Engineering, Prentice Hall, 2001.

4. R. Murphy, Introduction to AI Robotics, MIT Press, 2000.

(Computational Geometry)

CAD/CAMIC

GIS

Polygon Triangulation

Spanning Based on Cones

Voronoi Diagrams

Convex Hulls

Binary Space Partitions

Robot Motion Planning

1. M. De Berg, O. Cheong, M. Van Kreveld, and M. Overmars, Computational Geometry: Algorithms and Applications, 3rd ed., Springer-Verlag, Berlin Heidelberg, 2008.

2. G. Narasimhan and M. Smid, Geometric Spanner Networks, Cambridge University Press, 2007.

3. S. Devadoss and J. O'Rourke, Discrete and Computational Geometry, Princeton University Press, 2011.

4. P.J. Schneider and D.H. Eberly, Geometric Tools for Computer Graphics, Morgan Kaufman, 2002.

(Randomized Algorithms)

Occupancy

Hash Functions

Random Walk

Derandomization

Similarity SearchClustering

1. M. Mitzenmacher, Probability and Computing: Randomized Algorithms and Probabilistic Analysis, Cambridge University Press, 2005.

2. R. Motwani and P. Raghavan, Randomized Algorithms, Cambridge University Press, 1995.

3. D.P. Dubhashi and A. Panconesi, Concentration of Measure for the Analysis of Randomized Algorithms, Cambridge University Press, 2012.

4. W. Feller, An introduction to Probability Theory and Its Applications, Volumes I, 3rd ed., John Wiley, New York, 1986.

5. W. Feller, An introduction to Probability Theory and Its Applications, Volumes II, John Wiley, New York, 1971.

6. P. Billingsley, Probability and Measure, John Wiley and Sons, Anniversary edition, 2012.

(Data Mining)

Hash Functions

1. M. Analysis, Cambridge University Press, 2005. 2. University Press, 1995. 3. .

(Distributed Artificial Intelligence)

OntologyXMLOWLKIF

KQMLFIPAJADE

1. G. Weiss, Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence, MIT-Press, 1999.

2. M. Wooldridge, An Introduction to MultiAgent Systems, John Wiley & Sons, 2nd ed., 2009.

3. J. Ferber, Multi-Agent Systems, Addison-Wesley, 1999. 4. G. O'Hare and N. Jennings (eds.), Foundations of Distributed AI, Wiley

Interscience, 1996. 5. M. Singh and M. Huhns, Readings in Agents, Morgan-Kaufmann Publishers,

1997.

(Symbolic Processing)

Modal

SLDSLDNF

Combinatory Logic

Equational Logic

Order-Sorted Logic

Algebraic Specification and Methods

EagerLazy

1. S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 3rd ed., Prentice-Hall, 2009.

2. A. Ramsay, Formal Methods in Artificial Intelligence, Cambridge University Press, 1988.

3. C. Change and R. Lee, Symbolic Logic and Mechanical Theorem Proving, Academic Press, 1973.

4. C.J. Hogger, Essentials of Logic Programming, Oxford University Press, 1990.

5. R. Kowalski, Logic for Problem Solving, Elsevier Pub., 1979.

(Natural Language Processing)

NLP

lexicalsyntacticsemantic

pragmatic

HMMN-gram

1. D. Jurafsky and J. Martin, Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition, 2nd ed., Prentice-Hall, 2009.

2. C. Manning and H. Schütze, Foundations of Statistical Natural Language Processing, MIT Press, 1999.

3. J. Allen, Natural Language Understanding, 2nd ed., Benjamin Cumming Pub., 1995.

(Advanced Topics in Knowlegde Engineerin)

(Research Methodology and Seminar)

Endnote LatTex

(Plagiarism)

1. Z. Zobel, Writing For Computer Science, Springer-Verlag, New York, 1997. 2. A. Kothari, Research Methodology: Methods and Techniques, New Age

Publications, Academic, 2009. 3. Association of Computing Machinery Computing and Public Policy Page

(including Code of Ethics) , http://www.acm.org/serving/.

(Seminar)

(Thesis)

2

2