Course objectives: This course will enable students to: Study of architecture of Basic Microcontroller, PIC & ARM microcontrollers. Program PIC & ARM microcontrollers Understand Interface of microcontroller and peripherals
Course objectives: To learn digital modulation techniques, power spectra and ISI. To study convolutional coding and decoding for channel coding. To understand Communication through band limited linear filter channels and synchronization. To study Spread spectrum digital communication. To learn fading multipath channels in digital communication.
Course objectives: This course will enable students to learn: Thyristors, power MOSFETs, power transistors, IGBT, MCT, LTT, smart power devices. Thyristor circuits: Converters, Inverters and motors operation and design.
Course Outcomes: After studying this course, students will be able to Identify the problems for machine learning. And select the either supervised, unsupervised or reinforcement learning. Explain theory of probability and statistics related to machine learning Investigate concept learning, ANN, Bayes classifier, k nearest neighbor, Q,
Course objectives: To introduce the fundamental algorithms for pattern recognition. To instigate the various classification and clustering techniques. Students will be able to Design and construct a pattern recognition system. Know the major approaches in statistical and syntactic pattern recognition. Become aware of the theoretical issues involved in pattern recognition system design such as the curse of dimensionality. Implement pattern recognition techniques instigate the various classification and clustering techniques