OBE COURSES

Evaluate the applications of organometallic complexes in various domains

Reactions of Organometallic Compounds

This course introduces the procedures and techniques adopted by the research, methods for research design, data collection and discusses the methods used to analyze the data. The salient aspects of publication and patenting along with the crucial role of ethics in research is discussed.

Memorize and explain the chemistry of noble gases and halogens

The Department of Optoelectronics offers this course for the M.Sc programme and is a core Course for Semester II.

Deep learning plays an important role in the modern world. This course aims to impart the ability to students, to build and train new deep architectures, detect the key parameters etc. After the completion of this course, the students are able to develop their own deep architectures to address real world problems.

The course aims to provide students with detailed knowledge of how Machine Learning methods work and how statistical models can be brought to bear in computer systems. The analysis of large data sets and to let computers perform tasks that traditional computer science methods are addressed.

Programme             : M.Sc. Mathematics with Specialisation in Finance                                                                              and Computation

Semester                 :  IV
Credits                      :  4

Programme             : M.Sc. Mathematics 

Semester                 :  IV

Credits                      :  4

This course explores the intricate relationship between natural products and their applications in molecular medicine. It delves into the discovery, characterization, and utilization of natural compounds derived from plants, microorganisms, and marine organisms for therapeutic purposes. The course encompasses both theoretical and practical aspects of natural product chemistry, pharmacology, and molecular biology to understand their mechanisms of action and potential applications in medicine

Most of the real-world data are unstructured especially in the form of audio, video and images. Analysis of the unstructured data uncovers the hidden and the latent meaningful information. Unstructured data does not contain a predefined scheme. Unstructured data analytics tools use machine learning to gather and analyze data that has no pre-defined framework – like human language. This course focuses on exploratory and predictive analysis of unstructured data to handle big data for solving real world problems.