This course covers the fundamentals of mathematical analysis: convergence of sequences and series, properties of continuity, limit of a function, differentiability and properties of Riemann integral. By the completion of this course students will be able to compute problems on convergence of a sequence and series and explain the applications of continuity, differentiability, integrability.
- Teacher: SATHYASRI K
The course addresses the English language needs of the students at the undergraduate level. The focus will be upon four categories: Prose, Poetry, Vocabulary, and Grammar. In addition to these, the last two units focus on developing the writing skills of students by including essay writing and report writing. The content of the text raises questions of how English is used in India versus how it ought to be used and thus engaging the debates about a “standard English” and the need of adapting English to the local cadence and culture of India. Similarly, the British and American variations of the language are included to orient the students to broaden their view of English as an international language. Overall the course will focus upon the critical thinking faculties of the students concerning academic, linguistic, political, literary, and ethical concepts.
- Teacher: VISHNU PRIYA T. P.
In this paper we deal with Statistical methods and theory of estimation where Statistical methods are mathematical formulas, models, and techniques that are used in statistical analysis of raw research data. The application of statistical methods extracts information from research data and provides different ways to assess the robustness of research outputs. Estimation theory is a branch of statistics that deals with estimating the values of parameters based on measured empirical data that has a random component.
_________________________________________________________________________________________________________________________
Course Objective:
The objective of this course is to provide an understanding for the graduate student on statistical concepts which include Correlation and Regression analysis, Partial and Multiple correlations, Theory of Attributes, Exact Sampling distribution and Estimation theory
- Teacher: PANAM SRAVANI
Data structure is a specialized format for organizing and storing data in an effective way for enhanced data operations. This course introduces the fundamental paradigms of Data Structures and is designed with the following objectives, sufficient through theory and practical sessions.
· To impart knowledge on the necessity of Data structures and its uses.
· To make students understand the basic concepts of Data Structures -stacks, queues, lists, Trees and Graphs.
· To make students aware and understand different searching and sorting algorithms used in data retrieval process.
· To ensure students follow step by step approach in solving problems using algorithms with the help of fundamental data structures concepts.
- Teacher: ANU VICTOR