The course addresses the English language needs of the students at the undergraduate level. The focus will be upon five categories: Prose, Poetry, Vocabulary, Soft Skills and Grammar. In addition to these, the last two units focus on developing the speaking skills of students. Overall the course will focus upon the critical thinking faculties of the students concerning academic, linguistic, political, literary and ethical concepts.
The syllabus has been designed to develop the linguistic and communicative competence of undergraduate students. The teachers also ask comprehension questions to stimulate discussion and based on the discussions the students are made to write short paragraphs /essays and participate in group discussions.
- Teacher: SAIKIRAN D
Course Summary:
This course is aimed at concepts of programming language and software coding. The special track is organized as a series of lectures, practicals and exercises for learning C programming language (syntax, grammar and lexical rules) and focusing on discussing how to write a program of moderate complexity by using C language to perform a task.
Course Objective:
The purpose of this course is to insinuate to students the field of programming using C language. C is a programming language that is both versatile and popular, allowing it to be used in a vast array of applications and technologies. It can, for example, be used to write the code for operating systems, much more complex programs and everything in between. Its simplicity and flexibility are largely because it can function independently of machines, which has lent itself to becoming one of the foundational programming languages in the industry therefore learning one such language will help students to be able to enhance their analysing and problem solving skills and use the same for writing programs in C and learn how to build software.
Course outcomes:
CO1: As one of the foundational languages in programming, C is used more widely than other interpreted languages, such as PHP and Ruby. Learning C will time, but the benefits are worth the effort.
CO2: By learning C, one will be able to understand and visualise the inner workings of computer systems (like allocation and memory management), their architecture and the overall concepts that drive programming.
CO3: Almost all other programming languages can interface/relate with it.
CO4: Because so many programming languages are based on or related to C, your knowledge of C will simplify the process of learning other languages. These languages typically share similar syntax, operators, control statements, data types and more.
CO5: There are 32 keywords contained within C, along with built-in functions and data types learning these attributes make C both efficient and simple to work with, especially when creating complex programs.
C06: Students will be able to identify tasks in which the numerical techniques learned are applicable and apply them to write programs, and hence make the task easy for one and all.
CO7: Students will be able to write the program on a computer using the C language with proper syntax, edit, compile, debug and run it.
CO8: The student will have the ability to handle possible errors during program execution.
- Teacher: JERUSHA SHALINI VASKA
Course Objective
1. Determine the maxima and minima of functions by using partial differential equations
2. Use integration to find the volume and surfaces of revolution.
Course OutcomesCO1 : Understand the basic concepts of the partial differential equations
CO2 : Apply Euler’s method for homogenous function
CO3 : Apply total differentials for functions of several variables
CO4 : Apply maxima and minima for functions of two variables and Lagrange’s method of multipliers.
CO5 : Apply numerical measure for the curvature of a curve at a particular point
CO6 : Apply envelopes for family of curves
CO7 : Determine the length of the curves in Cartesian and polar form.
CO8 : Understand the concept of partition and sum applies to the areas of volumes and surfaces of revolution

- Teacher: NAGENDRA KUMAR GOLLAPUDI
Objective of Course:
This Course includes an interdisciplinary core topic which encourages students to explore the social, aesthetic, ethical, scientific, and technical aspects of environmental questions; concentrations that allow students to approach these questions with more focused knowledge and methodological tools; a community-engaged research course.
Learning Outcomes:
On completion of the course the student will be able to:
CO1- Demonstrate a general understanding of the breadth and interdisciplinary nature of environmental issues.
CO2- Be well-prepared for meaningful careers and post-graduate education in fields related to environmental science and beyond.
CO3- Formulate an action plan for sustainable alternatives that integrate science, humanist, and social perspectives.
CO4 - Apply systems concepts and methodologies to analyze and understand interactions between social and environmental processes.
CO5 - To cultivate compassion, curiosity, collaboration, and hope.
CO6 - Appreciate the ethical, cross-cultural, and historical context of environmental issues and the links between human and natural systems.

- Teacher: VARALAKSHMI V
Define and use the basic terminology of statistics
Understand the have the basic knowledge on data collection
Analyse and compare different sets of data
Classify the data by means of diagrams and graph
Calculate and interpret the various measures of central tendency, dispersion skewness and Kurtosis
Have the critical thinking in the theory of probability and its applications in real life
problems.
CO1: Acquaintance: with various methods of collecting data and get familiar with some elementary methods of data viz. Measures of central tendency, dispersion, skewness and kurtosis and to interpret them.
CO2: Understanding: the basic concepts of probability and to find probabilities of various events.
CO3: Understand: types of random variables, concepts of conditional probability and ability to distinguish between univariate and bivariate probability
distributions; transformation of continuous random variable and its application.
CO4: Knowledge:of characteristics of random variables such as expectation, variance
and also to compute various generating functions.
- Teacher: JAIMOLE CROSS