B.E. Electronics(Instrumentation Control):Data Mining and Pattern Recognition
Bachelor
In Patiala
Price on request
Description
-
Type
Bachelor
-
Location
Patiala
-
Duration
4 Years
Facilities
Location
Start date
Patiala
(Punjab)
See map
Thapar University P.O Box 32, 147004
Start date
On request
Reviews
Have you taken this course?
Course programme
First Year: Semester I
Mathematics I
Engineering graphics
Computer Programming
Physics
Solid Mechanics
Communication Skills
First year: Semester II
Mathematics II
Manufacturing Process
Chemistry
Electrical and Electronic Science
Thermodynamics
Organizational Behavior
Second year: Semester I
Electromagnetic Fields
Human Values, Ethics and IPR
Semiconductor Devices
Measurement Science and Techniques
Circuit Theory
Digital Electronic Circuits
Electrical Machines
Second year: Semester II
Fluid Mechanics
Computer System Architecture
Optimization Techniques
Analog Electronic Circuits
Numerical and Statistical Methods
Electrical and Electronic Measurements
Environmental Studies
Third year: Semester I
Elements and Analysis of Instrumentation System
Analytical Instrumentation
Signals and Systems
Power Electronics
Microprocessors
Biomedical instrumentation
Summer Training
Third year: Semester II
Data Acquisition Systems
Industrial Measurements
Process Dynamics and Control
Control Systems
Total Quality Management
Fourth year: Semester I
Advance Process Control
Virtual Instrumentation
Instrumentation System Design
Engineering Economics
Microelectronics and ICs
Fourth year: Semester II
Project Semester
Project
Industrial Training(6 weeks)
Data Mining and Pattern Recognition
Data Mining: What is data mining, on what kind of data, Data Mining Functionalities
Data Warehouse: Difference Between operational database systems and data warehouses, A multidimensional data model, Data Warehouse architecture, data warehouse architecture, Data Warehouse implementation
Data preprocessing: Data cleaning, data integration & transformation, data reduction
Data Mining Query Language
Characterization & Comparison, Generalization, Mining association rules in large databases, constraint based association Mining
Classification & prediction Classification by decision Tree Induction, Bayesian classification, classification by Back propagation
Cluster analysis Partitioning Methods, Hierarchical methods, and Density & Grid based methods
Mining complex types of data, applications & trends in data mining, Social impacts of data mining
Pattern recognition: its importance & applications, applications in Bioinformatics, recognizing important bioinformatic sequences, other applications of pattern discovery
Laboratory Work: Implementation of various data mining techniques like classification, clustering, generalization, cleaning etc.
B.E. Electronics(Instrumentation Control):Data Mining and Pattern Recognition
Price on request