Download Syllabus for M Sc - Rajshahi University Alumni Association

UNIVERSITY OF RAJSHAHI
Faculty of Science
DEPARTMENT OF COMPUTER SCIENCE AND
ENGINEERING
(North Block, 4th Science Building)
Tel: 0721-750041/4103
Fax: 0721-750064
E-mail: [email protected]
Web Site: http://www.ru.ac.bd/cse
Syllabus for M.Sc.
Session: 2009–2010
EXAMINATION: 2010
M.Sc. Syllabus, Session: 2009-2010
University of Rajshahi
Faculty of Science
Department of Computer Science and Engineering
Syllabus for M.Sc. Degree
Session: 2009 - 2010
M.Sc. Examination: 2010
The Master of Science (M.Sc.) Courses in Computer Science and Engineering (CSE)
are of one academic year and is not more than three academic years from the date of
first admission. A student will study of 8 Units and 32 Credits with total 800 Marks.
The courses have been designed for two groups: General (G) and Thesis (T). The
courses for the groups are distributed as follows:
Courses for General Group
Courses for Thesis Group
Theoretical Courses
Same as for G
Tutorial
Same as for G
General Viva-Voce
Same as for G
Practical and Project
Thesis and Viva-Voce on thesis
The detail distribution of Courses along with Title, Marks, Units, Credits and Duration
of Examinations are depicted below.
Distribution of Courses with Title, Marks etc.:
Courses
Marks
Unit
Credits
Duration of
Examination/
Hours
75
0.75
3
4
75
0.75
3
4
75
75
75
0.75
0.75
0.75
3
3
3
4
4
4
75
75
0.75
0.75
3
3
4
4
a. Theoretical courses for both General
and Thesis Groups:
Compulsory courses:
CSE 501: Pattern Recognition and
Computer Vision
CSE 502: Advanced Networking and
Network Security
CSE 503: Data Mining and Warehousing
CSE 504: Embedded Systems
CSE 505: Advanced Web Engineering
Optional courses: (One course should
be selected from the following courses)
CSE 506: Human Computer Interaction
CSE 507: Advanced Software
Engineering
1
Dept. of CSE, University of Rajshahi
Courses
Marks
Unit
Credits
CSE 508: Computer Animation and
Virtual Reality
CSE 509: Robotics and Computer Vision
CSE 510: Decision Support System
CSE 511: Knowledge Engineering
75
0.75
3
Duration of
Examination/
Hours
4
75
75
75
0.75
0.75
0.75
3
3
3
4
4
4
CSE 512GT: Tutorial
CSE 513GV: General Viva Voce
b. Practical Experiments and Project
for General Group:
50
100
0.5
1.0
2
4
-
Practical Labs (CSE 514P)
150
1.50
6
18
Compulsory Labs:
CSE 514P(A): Pattern Recognition Lab.
CSE 514P(B): Advanced Networking &
Network Security Lab.
CSE 514P(C): Data Mining and
Warehousing Lab.
CSE 514P(D): Embedded Systems Lab.
CSE 514P(E): Advanced Web
Engineering Lab.
125
25
25
15
3
3
25
3
25
25
3
3
Optional Labs: (Any One)
(One Lab should be selected from the
following Labs)
CSE 514P(F): Human Computer
Interaction Lab
CSE 514P(G): Advanced Software
Engineering Lab.
CSE 514P(H): Computer Animation and
Virtual Reality Lab.
CSE 514P(I): Robotics and Computer
Vision Lab.
CSE 514P(J): Decision Support System
Lab.
CSE 514P(K): Knowledge Engineering
Lab.
25
3
25
3
25
3
25
3
25
3
25
3
25
3
CSE 515J: Project
50
6
c. Thesis Group:
CSE 516TH: Thesis
CSE 517V: Viva Voce
150
50
1.5
0.5
6
2
800
8
32
Grand Total
2
-
M.Sc. Syllabus, Session: 2009-2010
Brief Ordinance for M.Sc. Degree, The faculty of Science, University of Rajshahi,
Master of Science (M.Sc.)
Admission Requirements:
For admission to the M.Sc. course in CSE Department a student must have the
following qualifications:
The Bachelor of Science with Honours Degree of four years duration of this
University or of a recognised University in the CSE or similar subject. A
maximum of two years’ break of study after passing B.Sc. Honours Examination
shall be allowed.
The number of seats in CSE Department will be determined by the CSE Academic
Committee based on facilities available in the Department. Admission will be on the
basis of merits (and if necessary), through admission test to be decided by the CSE
Department.
Eligibility for examination:
In order to be eligible for taking the M.Sc. Examination, a candidate must have
pursued a regular course of study by attending not less than 75% of the total number
of classes held (theoretical, practical, tutorials etc.) provided that the Academic
Committee of the CSE Department on special grounds and on such documentary
evidence, as may be necessary, may recommend to the Vice-Chancellor cases of
shortage of attendance ordinarily not below 60% for condonation. A candidate
appearing in the examination under the benefit of this provision shall have to pay in
addition to the examination fees, the requisite fee prescribed by the Syndicate for the
purpose.
A candidate, who failed to appear at the examination or fails to pass the examination,
may on the approval of the relevant Department be readmitted to the following
session.
Pass Marks:
(a) The credit points achieved by an examinee for a 0.25, 0.5, 0.75 and 1.0 unit
course will be 1, 2, 3 and 4, respectively, on securing 25% marks or more
and 40% marks or more in the relevant Theory courses and
Practical/Project/Dissertation/In-Plant Training etc, respectively.
In order to pass the Master of Science Examination in CSE, a candidate
must obtain (i) at least 30% (33% for Mathematics) of the total marks in
theory papers, Tutorials, Viva voce, (ii) 40% marks in Practical,
Dissertation, In_Project (iii) 36% marks in the aggregate and (iv) 24 credit
points. A score of less than 25% marks in any Theory courses and less than
40% marks in Practical, Thesis/Dissertation, Project shall not be counted.
3
Dept. of CSE, University of Rajshahi
(b) The gradation of the results shall be as follows:
Average 60% marks and above
: First Class
Average 45% marks (but below 60%)
: Second Class
Average 36% marks (but below 45%)
: Third Class
A student who marginally gets a Second class or Third class may be given grace
marks to improve the result. The Examination Committee may recommend
maximum of 3 marks for improving results of a candidate from the Second Class
to First Class and a maximum of 5 marks for improving the results from Third
Class to the Second Class. The grace mark should clearly be shown in the
Tabulation sheet.
Names of candidates placed in the First and Second Class shall be arranged in
order of merit and those placed in the Third Class shall be arranged in accordance
with their examination roll numbers in the list of successful candidates.
Improvements of Results:
A student obtaining a Third Class in M.Sc. Final Examination may be allowed to
improve his/her result once as irregular candidate under the following conditions:
(a) A student willing to improve his/her result shall be required to sit for the
improvement Examination in all Courses (except Tutorials) with regular
students within five years from the date of publication of his/her result.
Previous marks for Tutorials shall remain valid.
(b) A student shall be allowed to appear in examination of those courses
(maximum 4 units) having marks less than 45% to improve his/her result in
the next immediate batch by paying special fee determined by the Syndicate.
(c) A candidate appearing at the improvement examination shall not be awarded
grace marks to improve the Degree and shall not be placed in the merit list.
(d) If a student fails to improve the Degree the previous results shall remain
valid.
References
1:
2:
3:
4:
AC No. 221, date: 21-05-2008
Extra ordinary Syndicate, date: 05-06-2008
AC No. 209, date: 14-09-2004
Syndicate No. 388, date: 23-09-2008
4
M.Sc. Syllabus, Session: 2009-2010
Detail Syllabus for M.Sc. Program
CSE 501: Pattern Recognition and Computer Vision
Lecture: 45 (Hours), Credit:3, Full Marks: 75
Introduction: Pattern and feature, Problems in pattern recognition, Design concepts
and methodologies, Classification techniques, Minimum distance pattern classifier,
Training and learning in Pattern recognition approaches-Neural pattern recognition,
Pattern recognition tasks by feed forward neural networks.
Statistical Pattern Recognition: Gaussian model-Supervised learning-Parametric and
non-Parametric estimation-Maximum likelihood estimation-Bayesian parameters
estimation-Perception algorithm-LMSE algorithm-Problems with Bayes approachPattern classification by distance functions.
Cluster Analysis: Unsupervised learning-Clustering for Unsupervised learning and
classification-K-means algorithm-Hierarchical procedures-Graph theoretic approach
to pattern clustering-Validity of clustering solutions.
Syntactic Pattern Recognition: Elements of formal grammar-String generation as
pattern description-Recognition of syntactic description-Parsing-Stochastic grammar
and applications-Graph based structural representation.
Feature Extension and Recent Advances: Entropy minimization - Karhunen-Loeve
transformation-Neural Network structures for pattern recognition-Unsupervised
learning -self organizing networks-Fuzzy pattern classifiers-Genetic algorithmsApplication to pattern recognition. Hidden Markov Model (HMM).
Biometric system: Biometric behavioral features and physical features, person
identification system.
Computer Vision: Definition, Image formation in the eye and the camera, Geometric
camera models and calibration, color and color models, early level vision –
edge/object/shape detection, motion, mid level vision – segmentation and tracking,
model based vision.
References:
1.
E.G. Richard,
Johnsonbaugh and S. Jost
:
2.
R.O. Duda and P.E. Hart
:
3.
Morton Nadler and P.
Eric Smith
Tou and R. Gonzaler
:
4.
:
Pattern Recognition and Image Analysis,
Prentice Hall of India Private Ltd., NewDelhi110001,1999
Pattern classification and Scene analysis,
Wiley, New York, 1973
Pattern Recognition Engineering, John Wiley
and Sons, New York, 1993
Pattern Recognition Principles, Addison
Wesley, 1974
5
Dept. of CSE, University of Rajshahi
5.
Robert J. Schalkoff
:
6.
Melanie Mitchell
:
7.
8.
B. Yegnanarayana
David A Forsyth, Jean
Ponce, Prentice Hall of
India Private Ltd.
:
:
Pattern Recognition: Statistical and Neural
Approaches, John Wesley & Sons Inc.,
NewYork,1992.
An Introduction to Genetic Algorithms,
Prentice Hall of India Private Ltd., New
Delhi,1998
Artificial Neural Networks
“Computer Vision” A modern Approach
CSE 502: Advanced Networking and Network Security
Lecture: 45 (Hours), Credit:3, Full Marks: 75
Overview of networking: Network architecture, planning and designing networks,
Protocols, TCP/IP, IPv6, Agent. Ad hoc network architecture and protocols: Blue
Tooth, IEEE802.11; Voice-over-IP, Combination of IP and ATM Technologies:
Classical IP-over-ATM, LAN emulation. Concepts and principles of client-server
architecture, networks, and distributed computing.
Client/Server and Distributed Computing: Network management and programming
in a network environment: programming with sockets in UNIX and Windows or
client-server model, including IPC, RPC, the role of the GUI and front-end
development tools, middleware, two-tier and three-tier architectures, operating
systems, and database interaction. The role of standards in client-server development,
including DCE, CORBA, ODBC, COM, and OLE, along with object-oriented aspects
of client-server and distributed computing.
Security: Concepts and principles of system and data security. Risks and
vulnerabilities, policy formation, controls and protection methods, database security,
encryption, authentication technologies, host-based and network-based security issues,
personnel and physical security issues, issues of law and privacy. Firewall design and
implementation, secure Internet and intranet protocols, and techniques for responding
to security breaches.
References:
1.
2.
3.
Coulouris, Jean
Dollimore, Tim
Kindberg
Amjad Umar,
Piscataway, New Jersey
:
Dieter Gollmann
:
:
Distributed Systems: Concepts and Design,
ISBN: 0201619180; Edition: 3rd, 2000;
Publisher: Addison Wesley Longman Inc
Object-Oriented
Client/Server
Internet
Environments, Author: Edition: 1st Edition;
ISBN: 0-13-375544-4
Computer Security; ISBN: 0-471-97844-2;
Edition: 1999, Publisher: John Wiley and Son
Ltd
6
M.Sc. Syllabus, Session: 2009-2010
4.
Edward Amoroso
:
5.
W. Stallings
:
6.
:
7.
E. Biham and A.
Shamir
D.Denning
8.
N.Kobliz
:
:
Fundamentals
of
Computer
Security
Technology, ISBN: 0-13-108929-3; Publisher:
Prentice Hall
Cryptography and Network Security Principles
and Practice, Prentice Hall, New Jersey, 1999
Diffential Crypt analysis of the data encryption
standard, Springer Verlag, 1993
Cryptography and data security, Addison
Wesley, 1982
A course on Number theory and Cryptography,
Springer Verlag, 1994.
CSE 503: Data Mining and Warehousing
Lecture: 45 (Hours), Credit:3, Full Marks: 75
Data Mining Introduction
Data mining-introduction-information and production factor - Data mining Vs Query
tools - Data mining in marketing - self learning computer systems - Concepts learning
- Data learning - Data mining and the data warehouse.
Knowledge Discovery Process
Knowledge discovery process - data selection - cleaning - Enrichment - Coding preliminary analysis of the data set using traditional query tools - Visualization
techniques - OLAP tools - Decision trees – Association rules - Neutral networks
Genetics algorithms - KDD (Knowledge Discover in Databases) environment.
Data Warehouse - Architecture
Data warehouse architecture - System process - Process architecture - Design Database schema – partitioning strategy - Aggregations - Data marting - Meta data system and data warehouse process managers.
Hardware And Operational Design
Hardware and operational design of data warehouse - Hardware architecture - Physical
layout - Security -Backup and recovery - Service level agreement - Operating the data
warehouse.
Planning, Tuning and Testing
Capacity planning - Tuning the data warehouse - testing the data warehouses - Data
warehouse features.
References:
1.
2.
Pieter Adriaans, Dolf
Zantinge
Sam Anahory,
Dennis Murray
:
Data Mining, Addison Wesley, 1996
:
Data Warehousing in the real world, Addison
Wesley, 1996
7
Dept. of CSE, University of Rajshahi
CSE 504: Embedded Systems
Lecture: 45 (Hours), Credit:3, Full Marks: 75
Embedded System: Introduction to embedded systems, Example, Typical Hardware
needs of a software Engineer, Timing Diagrams, Memory
Advanced Hardware, DMA, Interrupts, Built-ins on the Microprocessor, Schematics
Interrupt and shared data problem, interrupt latency
Survey of Software architectures, Round Robin, Function queues scheduling
architecture, real time operating system architecture. Semaphore and shared data
Embedded software development tools.
Microcontroller programming: Architecture of microcontroller of 8051 family,
programming model, register, Instruction set, Enhanced 8051 Features, Application
Design..
Hardware description using VHDL/Verilog HDL: Dataflow, Behavioral, structural,
mixed style of design, Language Elements, Compiler directives, Value set, data types,
Expressions
Gate level Modeling, MOS Switches, Master slave flip flop example, user defined
primitives, sequential and combinational UDP Models
Data flow model, Timing controls, block statement, procedural assignments, looping,
handshaking example
Structural Models, ports, tasks, functions, display and file I/O tasks
Verification, Test bench examples, Modeling synchronous logic, shift registers
References:
1.
2.
3.
4.
Donovan
J Bhaskar
Samir Palnitkar
David E Simon
:
:
:
:
5.
6.
Douglas Perry
Kenneth
J.
Ayata
Myke Predko
:
:
7.
:
Systems Programming, McGraw-Hill, 1987
A VHDL Primer, BS Publications
Verilopg HDL, Pearson
An Embedded Software Premier, Pearson Education
Asia
VHDL, Tata McGraw Hill Edition
The 8051 Microcontroller, Thomson and Delmar
Learning
Programming and Customizing 8051 Microcontroller,
McGraw-Hill
CSE 505: Advanced Web Engineering
Lecture: 45 (Hours), Credit:3, Full Marks: 75
ASP.NET programming model, Web development in Microsoft Visual Studio .NET,
Anatomy of an ASP.NET page, ASP.NET core server controls, ADO.NET data
8
M.Sc. Syllabus, Session: 2009-2010
providers, ADO.NET data containers, The data-binding model, report design using
crystal report, Master page, user role, linq, website security, DAL , BLL, SQL server.
PHP: dealing with forms, HTTP authentication with PHP, cookies, sessions, using
remote files, persistent database connections, smarty, mambo, joomla, ADODB.
Ajax, XML, DOM, WML.
References:
1.
2.
Dino Esposito
Matt J. Crouch
:
:
3.
Jesus Castagnetto,Harish Rawat,
Sascha Schumann, Chris Scollo
and Deepak Veliath
Leon Atkinson
:
4.
:
Programming Microsoft ASP.NET 2.0
ASP.NET and VB.NET web
programming
Professional PHP Programming, Wrox
Publications
Core PHP Programming, Prentice Hall
PTR
Optional Courses
CSE 506: Human Computer Interaction
Lecture: 45 (Hours), Credit:3, Full Marks: 75
Foundations:
The human: introduction, input-output channels, human memory, reasoning and
problem solving, Psychology and the design of interactive systems.
The computer: introduction, text entry devices, positioning, pointing and drawing
devices, display devices, devices for virtual reality and 3D interaction, physical
controls, sensors and special devices, paper printing and scanning, Memory.
The Interaction: introduction, models of interaction, terms of interaction, the
execution evaluation cycle, the interaction framework, ergonomics: - arrangement of
controls and displays, the physical environment of interaction, health issues, the use of
color, different types of interaction styles, element of WIMP interface.
Paradigms: introduction, paradigms for interaction.
Design Process:
Interaction design basics: introduction, what is design, the process of design, user
focus, scenarios, navigation design, screen design and layout, iteration and
prototyping.
HCI in the software process: introduction, the software life cycle, usability
engineering, interactive design and prototyping, design rationale.
Design rules: introduction, principles to support usability, standards, guidelines,
golden rules and heuristics, HCI patterns.
9
Dept. of CSE, University of Rajshahi
Implementation support: introduction, elements of windowing systems,
programming the application, using toolkits, user interface management system.
Universal design: introduction, universal design principles, multi-modal interaction,
designing for diversity.
Models and Theories:
Cognitive models: introduction, goal and task hierarchies, linguistic models, the
challenge of display-based systems, physical and device models, and cognitive
architectures.
Socio-organizational Issues and stakeholders Requirements:
organizational issues, and capturing requirements.
introduction,
Communication and collaboration models: introduction, face
communication, conversation, text-based communication, group working
to
face
Task Analysis: introduction, task decomposition, knowledge based analysis, entityrelationship based technique, sources of information and data collection, uses of task
analysis.
Dialog notation and design: what is dialog, dialog design notations, diagrammatic
notations, textual dialog notation, dialog semantics, dialog analysis and design.
Application Areas:
Groupware: introduction, groupware systems, computer mediated communication,
meeting and decision support systems, shared applications and artifacts, framework
for groupware, implementing synchronous groupware.
CSCW and social issues: introduction, face-to-face communication, conversation,
text-based communication, and organizational issues.
Hypertext, multimedia and the World Wide Web: introduction, understanding
hypertext, finding things, web technology and issues, static web content, dynamic web
content.
References:
1.
:
2.
Dix, Finlay, Abowd
& Beale
Ben Shneiderman
3.
Suchman
:
4.
Newman and
Lamming
Monk & Wright
:
5.
:
:
Human Computer Interaction, 3rd
edition,
Prentice Hall
Designing the user Interface: Strategies for
Effective Human Computer Interaction, ISBN: 074840-762-6, Addison-Wesley, 3rd Edition, 1998
Plans and Situated Action: The Problem of
Human - Machine Communication, Cambridge
University Press, 1987
Interactive Systems Design, Addison Wesley,
1995
Improving Your Human-Computer Interface,
Prentice Hall, 1993
10
M.Sc. Syllabus, Session: 2009-2010
6.
Jordan, Patrick
:
Introduction to Usability, ISBN: 0-74840-762-6,
Taylor and Francis, Levittown, PA, 1998
(Paperback)
CSE 507: Advanced Software Engineering
Lecture: 45 (Hours), Credit:3, Full Marks: 75
Introduction and review:
Software quality assurance – quality, quality plan, quality metric, validation &
verification, Introduction to ISO-90000 practices for Software Quality Assurance
Software Testing – Purpose, test case and expected output, test coverage, testing of
various areas: unit, domain, path, equivalent class based portion, component,
aggregation, system testing, requirement based testing, acceptance testing. Test
reporting, bug fixing, regression and stress testing, testing for performance, security,
installation recovery, configuration sensitivity capture/reply, report data base, test
automation.
Software project Management-Software, metrics estimation, planning, software tools,
change management and version release assessment, software valuation.
Software Maintenance – Maintainability, documentation to facilitate maintenance,
reverse engineering.
Software reuse – measuring software reuse, reuse matrices, economic model, life
cycle & reuse assessment for continuing corporate business activity.
Industrial practice in Software Engineering – software integration, systems
installation/generation, and commissioning including parameter tuning for various end
users, training by software developers to the marketing & customer support services
personnel, ISO-9000 Certified Quality Assurance Program.
References:
1.
Wilson
:
Software Architecture: Prospective on an Emerging
Discipline
CSE 508: Computer Animation and Virtual Reality
Lecture: 45 (Hours), Credit:3, Full Marks: 75
Computer Animation
Introduction
Perception, The Heritage of Animation: Early Devices, The Early Days of
"Conventional" Animation, Disney, Contributions of Others, Other Media for
Animation, Principles of Animation, Principles of Filmmaking; Animation
Production: Computer Animation Production Tasks, Digital Editing, Digital Video; A
Brief History of Computer Animation.
11
Dept. of CSE, University of Rajshahi
Technical Background
Spaces and Transformations: The Display Pipeline, Homogeneous Coordinates and
the
Transformation
Matrix,
Compound
Transformation:
Concatenating
Transformation Matrices, Basic Transformations, Representing an Arbitrary
Orientation, Extracting Transformations from a Matrix, Description of
Transformations in the Display Pipeline, Round-off error considerations; Orientation
Representation: Fixed Angle Representation, Euler Angle Representation, Angle and
Axis Representation;
Interpolation and Basic Techniques:
Interpolation: The appropriate function: Controlling the motion along curve,
Computing Arc length, Speed control, ease-in/ease-out, General distance time
functions, Path following: Orientation along path, Smoothing a path, Determining a
path along a surface; Key frame systems, Animation Languages: Artist oriented
animation language, Articulation variables, Graphical languages, Actor based
animation languages; Deforming objects: Warping an object, Coordinate grid
deformation, Morphing (2D): coordinate grid approach, feature based approach; 3D
shape interpolation.
Advanced Algorithms:
Automatic camera control, Hierarchical kinematics modeling: Representing
hierarchical models, Forward kinematics, local coordinate frames, Inverse kinematics,
Rigid body simulation: Bodies in free fall, Bodies in contract; Enforcing soft and hard
constraints: Flexible objects, virtual springs, energy minimization, space time
constraints: Controlling groups of objects: particle system, flocking behavior,
Autonomous behavior; Implicit Surface;
Virtual Reality
Basics of Designing Virtual Reality Systems
Introduction: What Is Virtual Reality? Goals and Applications of Virtual Reality,
Pillars of VR: Presence and 3D Multimodal Interaction Building a Virtual Reality
System
Requirements Engineering and Storyboarding, Ship Simulator Design,
Object and Scene Modeling: Object Modeling, Scene Construction, Object Placement,
Multiple Frames of Reference, Re-Expressing Coordinates, Function and Behavior
Modeling, Ship Simulator Example Revisited
Putting It All Together: Ship Simulator, Level 2 Design,
Performance Estimation and System Tuning, Tuning with LOD Models,
Presence/Special Effects, Using Images and Textures.
References:
1.
Rick Parent
:
Computer Animation: Algorithms and Techniques
Publisher: MKP (Morgan Kaufmann Publishers)
12
M.Sc. Syllabus, Session: 2009-2010
2.
Gerard Jounghyun
Kim
:
3.
Alan Watt and
Mark Watt
Howard Rheingold
:
4.
Designing Virtual Reality Systems: The Structured
Approach
Publisher: Springer
Advanced Animation and Rendering Techniques
:
Virtual Reality: The Revolutionary Technology of
Computer-Generated Artificial Worlds
CSE 509: Robotics and Computer Vision
Lecture: 45 (Hours), Credit:3, Full Marks: 75
Robotics manipulation direct kinematics: The arm equation, inverse Kinematics:
Solving the arm equation, work space analysis and trajectory planning differential
motion and static manipulator dynamics, robot control, task planning.
Relationship between image and world structure, image representation, segmentation,
pattern perspective transformation, camera calibration, shape analysis, object
recognition and picture languages.
References:
1.
Robert J Schillin
:
Fundamentals of Robotics: Analysis and Control
CSE 510: Decision Support System
Lecture: 45 (Hours), Credit:3, Full Marks: 75
Introduction to Decision support system (DSS), Decision making models, Under-layer
framework for DSS, Hardware and Software for DSS, Use of decision tools.
Developments of DSS, issues of model management and interface design, DSS
applications: Executive information system (EIS), Computer mediated communication
within an organization and special aspects.
References:
1.
2.
3.
Bonczek R. H, Holsapple C.
W. & Whinston A. B
Moove J. H. & Change M. G.
Cadson E. D.
:
Foundations of Decision Support System
:
:
Design of Decision Support Systems
An Approach for Designing Decision
Support Systems
CSE 511: Knowledge Engineering
Lecture: 45 (Hours), Credit:3, Full Marks: 75
Knowledge Engineering Basic Knowledge Representation and Utilization: Production
Systems (PS), Semantic Networks, Frames, Logic, Object-Oriented Paradigm, Logic
Programming, Neural nets. Incomplete Knowledge and Non-Monotonic Logic.
13
Dept. of CSE, University of Rajshahi
Uncertain Knowledge: Bayesian Probability Theory, Dempster-Shafer Theory, Fuzzy
Set Theory.
Application Diagnosis. Knowledge Acquisition and Machine Learning: Problems of
and Approaches to Knowledge Acquisition, Knowledge Acquisition Support Systems,
Machine Learning. Meta - reasoning and Meta-knowledge. Knowledge System
Development Environment: Al languages, Shells.
References:
1.
2.
3.
4.
5.
6.
7.
8.
9.
Aleksander, H. Morton
(1990)
P. Hayes Roth, A. Waterman
and B. Lenat (1983)
A. Barr and E. A.
Feigenbaum
P. Harmon and D. King,
(1985)
Kowalski (1979)
J. W. Lloyd (1984)
C.V. Negoita (1985)
M . R. Genesereth, N. T.
Nilsson (1987)
Indea Pearl (1988)
:
An Introduction to Neural Computing
:
Building Expert Systems
:
The Handbook of Artificial Intelligence,
Vols. I-IV
Expert Systems: Artificial Intelligence in
Business
Logic for Problem Solving
Foundation of Logic Programming
Expert Systems and Fuzzy Systems
Logical Foundation of AL
:
:
:
:
:
:
Probabilistic Reasoning in Intelligent
Systems: Networks of Plausible Inference
14