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CSE 3225
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CSE 4221
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ECE 2251
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HSS 2251
Math 2253

CSE 2200 Software Development Project 1.5 Credit
Students will develop structured Programs/Projects with proper documentation in high level language as assigned by teachers and will run on micro/mainframe computers.

CSE 2201 Algorithms 3 Credit
Section A: Techniques for analysis of algorithms, Methods for design of efficient algorithms, Divide and Conquer, Greedy Method, Dynamics Programming, Backtracking, Branch and Bound.
Section B: Basic Search and Traversal Techniques, Branch and Bound, Graph Algorithms, Algebraic Simplification and Transformations, Lower Bound Theory, NP Hard and NP Complete Problems.
Recommended Books:
  • Elias Horowitz, Sartaj Sahni & Sanguthever Rajasekaran, Computer Algorithms. Silicon Press 2nd Edition, US, 2008.
  • C. E. Leiserson, C Stein, T.H. Cormen and R. Rivest. Introduction to Algorithms. MIT Press, 3rd Edition, US, 2009.

CSE 2202 Algorithms Laboratory 1.5 Credit
Laboratory based on the course CSE 2201.

CSE 2203 Computer Architecture 3 Credit
Section A: Introduction to Computers- Evolution, Programming and Architecture. Addressing Modes, Instruction Sets, Machine Level Instructions, Central processing Unit, Arithmetic Logic Unit, Control Unit Design. Microprogrammed Control Unit.
Section B: Input Output Operations: Programmed I/O, Interrupt I/O, DMA. Memory Organisation: Main Memory Design, Cache Memory, Associative Memory, Virtual Memory. Fundamentals of Parallel Processing: Array Processing, Pipeline Processing, Multiprocessing, Structures and Algorithms for Array Processors, Multiprocessor Architecture and Programming.
Recommended Books:
  • John P. Hayes, Computer Architecture and Organization, McGraw-Hill Education, 3rd Edition, US, 1998.
  • M. M. Mano, Computer System Architecture, Pearson Education Inc., 3rd Editin, US, 2007.
  • R. Y. Kain, Advanced Computer Architecture: A System Design Approach, Prentice-Hall, 2nd Edition, US, 1996.
  • W. Stallings, Computer Organization and Architecture: Designing for Performance,Pearson Education Inc., 8th Edition, US, 2010.
  • M. Rafiquzzaman, Fundamentals of Computer System architecture. Lohn Wiley & Sons Inc., 5th Editin, US, 2005.

CSE 2205 Numerical Methods 3 Credit
Section A: Numerical Approximations and Round-off errors, Roots of Equations: Bracketing Methods, Open Methods, Roots of Polynomials; Solving Simultaneous Set of Linear Equations: Gauss Elimination, LU Decomposition and Matrix Inversion, Special Matrices and Gauss-Seidal; Curve Fitting: Least-Squares Regression.
Section B: Optimization: One Dimensional Unconstrained Optimization, Multidimensional Unconstrained Optimization; Interpolations: Newton's Divided-Difference Interpolating Polynomials, Lagrange Interpolating Polynomials, coefficients of an Interpolating Polynomial, Inverse Interpolation; Integration: the Trapezoidal rule, Simpson's rule; Ordinary Differential Equations: Newton-cotes Algorithm for Equations, Romberg Integration, Gauss Quadrature, Euler's method, Runge-Kutta Methods, Systems of Equations.
Recommended Books:
  • M.K. Jain, S.R.K. Lyengar & R.K. Jain, Numerical Methods for Scientific and Engineering Computation, New Age International (P)
  • J. H. Mathews, Numerical Methods for Mathematics: For Mathematics, Science and Engineering, Prentice-Hall International, 2nd Ed
  • C. F. Gerald and P.O. Wheatley, Applied Numerical Analysis, Pearson Education Inc., 7th Edition, US, 2004.

CSE 2206 Numerical Methods Laboratory 0.75 Credit
Laboratory based on the course CSE 2205.

CSE 3221 Simulation and Modeling 0.75 Credit
Section A: Simulation Methods, Model Building, Random Number Generator, Statistical Analysis of Results, Validation and Verification Techniques, Digital Simulation of Continuous Systems, Simulation and Analytical Methods for Analysis of Computer systems and Practical Problems in Engineering, Introduction to Simulation Languages and Development of Simulation Packages.
Section B: Modeling Methods: Different Methods for curves and surface Modeling, Solid Modeling, Polyhedral Modeling with Euler's Formula, Non-polyhedral Modeling, Advanced Modeling, Procedural Models, Fractal Models, and Physically Based Modeling.
Recommended Books:
  • Averill M. Law & David Kelton, Simulation Modeling and Analysis, 3rd Edition, McGraw-Hill Publishing Company.
  • Geoffrey Gordon, System Simulation, 2nd Edition, Prentice-Hall of India Private Limited.
  • Jerry Banks, John S. Carson & Barry L. Nelson, Discrete Event System Simulation, 5th Edition, Prentice-Hall of India Private Li
  • Narsingh Deo, System Simulation with Digital Computer, Prentice-Hall of India Private Limited.

CSE 3222 Simulation and Modeling Laboratory / Project 1.5 Credit
Laboratory/Fieldwork based on CSE 3221

CSE 3223 Neural Networks and Fuzzy Systems 3 Credit
Section A: Introduction to Neural Networks, Neural and Fuzzy Machine Intelligence, Neuronal Dynamics: Activation and Signals, Activation Models, Synaptic Dynamics: Unsupervised and Supervised Learning, Architectures and Equilibrium, Kohonen self-organizing Networks, Hopfield Networks, Pattern Recognition by Neural Network, Application of Neural Network.
Section B: Fuzziness vs. Probability, Fuzzy Associative Memory, Comparison of Fuzzy and Neural trick backer upper Control Systems, Fuzzy Image Transform Coding, Comparison of Fuzzy and Kalman-filter, Target Tracking Control Systems.
Recommended Books:
  • Bart Kosko, Neural Network and Fuzzy Systems: A Dynamic System Approach to Machine Intelligence, 2nd Edition, Prentice-Hall of
  • James A. Anderson. An Introduction to Neural Networks. Prentice-Hall of India Private Limited.
  • George J. Klir & Bo Yuan, Fuzzy Sets and Fuzzy Logic: Theory and Applications, Prentice-Hall of India Private Limited.
  • B. Yegnanarayna, Artificial Neural Networks, Prentice-Hall of India Private Limited.

CSE 3224 Neural Networks and Fuzzy Systems Laboratory 1.5 Credit
Laboratory works based on CSE 3223

CSE 3225 Computational Geometry 3 Credit
Section A: Introduction: Digital Image Fundamentals, Image Transforms, Image Enhancement, Image Restoration, Color Image Processing, Image Compression.
Section B: Morphological Image Processing, Image Segmentation, Representation and Description and Interpretation.
Recommended Books:
  • Rafael C Gonzalez and Richard E. Woods. Digital Image Processing. 2nd Edition, Pearson Education.
  • Craig A. Lindley, Practical Image Processing in C. John Wiley and Sons, INC.

CSE 3226 Computational Geometry Laboratory 3 Credit
Laboratory / Fieldwork based on CSE 3225

CSE 3227 Geographical Information System 3 Credit
Section A: Introduction: Definition, Purpose (Organization, Visualization, Analysis: Spatial Query, Prediction), Components of Geography Based Information Systems, Application of GIS in private and The Evolution of Approaches to their Development. Data Input to Spatial Information: Basic Hardware, Software (Available in the market), types of Data Entry System, Criteria of Choosing Types of Input, Digitizer, Problems with Digitizing Maps, Error Shooting, Geographical Data Types and Methods of Representation, Spatial Database: Database Concepts, Point, Line and Polygon Features, Continuous Surfaces. The Organizational Role of GIS and Emerging Trends in GIS Development, Script Language in GIS (For example, Arc Avenue Development by ESRI).
Section B: Vector and Raster Data Model, Format Conversion, Data Structures Conversion, Data Medium Conversion, Data Organization, Coordinate Systems and Geo-referencing (Concepts of Map Projection including suitability and Classification). GIS Data Modeling and Statistical Analysis, 3D GIS: Point to Line Interpolation, Line to TIN and TIN to Lattice to GRID Conversion, Simulation with 3D.
Recommended Books:
  • Bonham-Carter & Graeme F, Geographical Information System for Geoscientists : Modeling with GIS, Prentice-Hall of India Private

CSE 3228 Geographical Information System Laboratory / Fieldwork 1.5 Credit
Laboratory / Fieldwork based on CSE 3227

CSE 4221 Pattern Recognition 3 Credit
Section A: Introduction and General Pattern Recognition Concepts, Introduction to Statistical Pattern Recognition, Supervised Learning using Parametric and Non Parametric Approaches, Linear Discriminant Functions and The Discrete and Binary Feature Cases, Unsupervised Learning and Clustering, Syntactic Pattern Recognition: Syntactic Recognition Via Parsing and Other Grammars.
Section B: Graphical Approach to Syntactic Pattern Recognition, Learning Via Grammatical Inference, Neural Pattern Recognition: Introduction to Neural Pattern Associates and Matrix Approaches and Unsupervised Learning in Neural Pattern Recognition.
Recommended Books:
  • R.C Gonzaleg and J. T. Tou. Pattern Recognition Principles. Addison-Wesley, 2nd Edition, 1977.

CSE 4222 Pattern Recognition Laboratory/ Project 0.75 Credit
Laboratory works based on CSE 4221. Students will complete three Projects with proper documentation as assigned by teacher.

CSE 4223 Data Warehousing and Mining 3 Credit
Section A: Introduction, Data preprocessing, Data mining primitives, languages and systems, Descriptive data mining, characterization and comparison, Association analysis, classification and prediction, cluster analysis, mining complex type of data, applications and trends in data mining.
Section B: The knowledge discovery process, data selection, cleaning, enrichment, coding, data mining, reporting, data warehousing and OLAP technology for data mining, setting up a KDD environment, some real-life applications.
Recommended Books:
  • P. Adriaans and D. Zantinge, Data Mining, Addison-Wesley, reprint Edition, 1998.

CSE 4224 Data Warehousing and Mining Laboratory/ Fieldwork 0.75 Credit
Laboratory works based on CSE 4223. Students will complete three Projects with proper documentation as assigned by teacher.

ECE 2251 Electrical Drives and Instrumentation 3 Credit
Section A: Coupled Circuits - Self and Mutual Inductance, Transient Analysis of Simple Circuits, Polyphase Circuit Analysis and Power Management. Single-phase Transformer, Equivalent Circuits, Vector Diagram, Transformer Tests, Three Phase Transformers.
Section B: D. C. Generator and Motor: Operation and Characteristics, Speed control of D.C. Motors, 3- Phase Induction Motor: Types, Operations, Equivalent Circuit, Characteristics, Starting, Introduction to 3 Phase Alternators and Synchronous Motors, Fractional Horse-Power Motors, Stepper Motors.
Recommended Books:
  • A.F. Puschstein, T.C. Lioyd & A.G Concored, Alternating Current Machines, Charles E. Tuttle, 3rd Edition, US, 1971.
  • A. Fitzgeraid Charles, A. E. Fitzgeraid and C. Kingsley, Electric Machinery. Tata McGraw-Hill Education, 6th Edition, India, 200

ECE 2252 Electrical Drives and Instrumentation Laboratory 0.75 Credit
Laboratory based on the course ECE 2251.

HSS 2251 Psychology 3 Credit
Section A: Introduction to Psychology. Cognitive Science; Reasoning, Object Recognition and Language Understanding. Learning Industrial Psychology; Introduction to Job and Job Analysis, Methods of Selection.
Section B: Training in Industry; Motivation and Work, Job Satisfaction, Introduction to Ergonomics, System Engineering, Accident and Safety.

Math 2253 Statistics and Complex Variable 3 Credit
Section A: Statistics: Frequency Distribution. Mean Median Mode and Other Measure of Central Tendency. Standard Deviation and Measures of Dispersion. Moments. Skewness and Kurtosis. Elementary Probability Theory, Characteristics of Distribution. Elementary Sampling Theory, Estimation, Hypothesis testing and Regression Analysis.
Section B: Complex Variable: Complex Number System, General Functions of a Complex Variable. Limits and Continuity of a function of Complex Variable and Related Theorems. Complex Differentiation and the Cauchy - Rieman Equation. Infinite Series. Convergence and Uniform Convergence. Line Integral of a Complex Function. Cauchy Integral Formula. Liouville's Theorem. Taylor's and Laurent's Theorem. Singular Points Residue, Cauchy's Residue Theorem.
Recommended Books:
  • H. T. H. Piaggio, Differential Equations, C.B.S Publishers and Distributions, India, 2004.
  • M. Spiegel, S. Lipschutz, J. Schiller and D. Spellman. Schaum's Outline of Complex Variables. McGraw-Hill Education, 2nd Edition
  • B.D. Gupta, Mathematical Physics. The University of California, US, 1985.