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KASTURBA GANDHI DEGREE & PG COLLEGE FOR WOMEN

WEST MARREDPALLY, SECUNDERABAD, TELANGANA - 500026

(Sponsored & Managed Jointly by the Osmania Graduates’ Association And The Exhibition Society, Hyderabad)

About:

Statistics is an application – oriented subject, which is widely used in all disciplines. It serves as an important tool in the analysis and presentation of information.

  • In the year 2018 M.Sc. (Applied Statistics) was introduced with an intake of 47 students.
  • The demand for the subject is increasing day by day as it is useful for higher learning.

Since the subject is practical oriented, to inculcate research attitude, the students in the department are encouraged to take up group projects.

about
NAME QUALIFICATION DESIGNATION EXPERIENCE
Dr.D.Lalitha Devi M.Sc.(Applied Statistics), Ph.D H.O.D, Associate Professor 27 Years
Ms.K.Sangeetha M.Sc.(Statistics), B.Ed Assistant Professor 17 Years
Ms. J. Sai Pavani M.Sc. (Applied Statistics)
Alumni 		Assistant Professor 3 Years
Ms.R.Prathyusha M.Sc. (Applied Statistics)
Alumni 		Assistant Professor 2 Years
Ms.Ch.Vidhatri M.Sc. (Statistics) Assistant Professor 1 Years
about

Achievements Of The Department

Faculty Achievements

  • Dr. D. Lalitha Devi and Ms. K. Sangeetha presented a paper titled as, “Causative factors of Malnutrition and Preventive measures” on Feb 2nd 2023, organized by the Dept. of Statistics, Pachhunga University college, Mizoram University.
  • Ms. Ch. Vidhatri, Ms. J. Sai Pavani, Ms. R. Prathyusha presented a paper titled as, “Impact of Yoga on screen time habits” on Feb 2nd 2023, organized by the Dept. of Statistics, Pachhunga University college, Mizoram University.
  • Dr. D. Lalitha Devi, Head, Department of Statistics, KGCW, has been appointed as BOS for St. Anns, Mehadipatnam from the year 2021-2022 onwards.
  • Ms. Ch. Vidhatri, Assistant Professor, Department of Statistics, KGCW, was invited as an alumni member for a BOS meeting held by Department of Statistics, Telangana Mahila Vishwavidyalayam (TMV) in the year 2023.
  • Dr.D.Lalitha Devi, Head, Department of Statistics,gave a guest talk on the topic:”Applications of Data Science in Multivariate Data Analysis” on the occasion of Golden Jubilee Celebrations of SV University.
  • Ms.K.Sangeetha, Assistant Professor, Department of Statistics gave a guest talk on the topic:”Applications of Data Science in Health Care” on the occasion of Golden Jubilee Celebrations of SV University.
  • Dr.D.Lalitha Devi, Head, Department of Statistics presented a paper titled “Secular trend in dietary patterns and BMI among youth-A case study” in the International conference.
  • Ms.K.Sangeetha, Assistant Professor, Department of Statistics presented a paper titled “Secrets of cow milk to combat obesity and to develop immunity-A case study” in the International conference
  • Ms.J.Saipavani, Lecturer,Department of Statistics presented a paper titled “Shift in paradigm from traditional learning to e-learning -A case study” in the International conference.
  • Dr.D.Lalitha Devi, Head, Department of Statistics was awarded “Best Teacher Award” for the year 2021 by the Red Cross Society, Hyderabad.
  • Dr. D. Lalitha Devi published a paper titled “A Statistical case study on usage of ICT in teaching in various schools and colleges of Secunderabad” in UGC approved journal SAEJ, Vol.24,Issue 9 2020.
  • Dr. D. Lalitha Devi and Ms. M. Divya presented a paper on “Data Science in Product Bundling – Evidence from an online pizza store” at a National Seminar organized by Department of Statistics, OU.
  • Ms. K. Sangeetha published a paper titled “Prevalence of obesity and causative factors in school going children- A statistical study” in IJSR.
  • Dr.D.Lalitha Devi and M.Divya attended a two day National conferece on Data Science a Statistical perspective, organised by Department of Statistics UCS, O.U. The faculty presented a paper Titled “DATA SCIENCE IN PRODUCT BUNDLING – EVIDENCE FROM AN ONLINE PIZZA STORE”.
  • Dr.D.Lalitha Devi is the BoS for Nalgonda Government Degree College
  • Dr.Lalitha &Ms.Sangeetha Analysed the Data of Ms.N.Aruna, Principal VJIT on MSME (Dept. of Commerce)
  • Dr.D.Lalitha Devi was invited as Guest of honour at National Sample Survey Office Function, organized by NSSO.
  • Dr.Lalitha and Ms.Sangeetha analysed the data for Ms.Sulekha in the subject Library Science, O.U
  • Dr.D.Lalitha Devi chaired a session at IEEE conference, Chirala Andhra Pradesh.
  • Dr.D.Lalitha Devi and Ms.K.Sangeetha published a paper in International Journal
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Students Achievements

  • Ms. E. Bhuvana, Ms. T. Swetha Sri, Ms. R. Prashanthi of MSc., Applied Statistics II year Students recieved 1st prize in quiz competition conducted by National Sample Survey Office NSSO on Statistics Day
  • Ms. T. Swetha Sri, G.Sahithi, J. Padam Priya and G. Durga Priya studying M.Sc Applied Statistics 2nd year presented a paper titled as, “Make in India, Made in India” on Feb 2nd 2023, organized by the Dept. of Statistics, Pachhunga University college, Mizoram University.
  • Ms. Nidhi Kulakarni, Ms. E. Bhuvana and Ms. R. Prashanthi studying M.Sc Applied Statistics 2nd year presented a paper titled as, “ Make in India “ on Feb 2nd 2023, organized by the Dept. of Statistics, Pachhunga University college, Mizoram University.
  • Students of Statistics Dept. have attended the Skill Development Program by Nandi Foundation from 2nd January, 2023 to 6th January, 2023 and two of our students have been awarded with Excellence Award and Improvement Award.
  • All India Industrial Exhibition Society awarded “Gold Medal” to Ms.J.Saipavani for securing highest marks in M.Sc(Applied Statistics) in the university examination
  • Department of Statistics is having a Memorandum of Understanding (MoU) with the company Sigma India Pvt.Ltd.
  • Students of the department do their internship at Sigma India Pvt. Ltd.
  • Ms. Neela Vaishnavi and Ms. D.Hepsiba presented papers at a State Level Seminar on “ICT for Enhanced Teaching & Learning”.
  • Ms.Neela Vaishnavi has been awarded third prize for paper “Accelerating a Pathway to Women’s safety”

A three day Skill Development Program - “Survey Data Analysis Using SPSS” was conducted in collaboration with Sigma India Company.

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As a part of Inter Departmental Activity, a Guest lecture was deliverd by Dr.Annapurna Bhavani, HoD Biotechnology.The resource person spoke about the application of statistics in clinical trials.

  • Students have been selected for an internship at NAARM, National Academy of Agricultural Research Management (NAARM)
  • Research Management (NAARM) Orientation Programme was conducted for the Msc Students
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Every year students of the department visit SADHANA –Institute for Mentally Challenged as a part of community connect.

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The Department has visited and served the cows as a part of Decennial Celebrations of Community Connect.

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Free distribution of Eco friendly Clay Ganesha Idols drive was conducted along with the Green Club of the college as a part of Environment Activity.

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Dr. T. Sameer Nandan, DNB/MD Family Medicine, General Physician & Diabetologist, SSS Institute of Higher Medical Sciences, Puttaparti presented a seminar on 16/05/2022, titled as “Well Being of Women”. Speaker emphasized on the health of women as they are the pillars behind a successful society. A healthy society is built by a healthy and independent women. He discussed the importance of well being of women and explained tips to improve ones health.

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V. Vishwa Mohan, M.A., MLISc., Ph.D.Retired Professor(OU) presented a webinar on 30th Sep 2021, titled as “Formulation of Hypothesis”. Speaker emphasized on the importance of knowing the objective of experiment to frame a better hypothesis. He explained about different types of Hypothesis taking real life examples.

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L.N. Yashaswy. A,Doctoral Candidate in Marketing, IIM Ahmedabad presented a webinar on 17th July 2021, titled as “Overview of R-Programming”. The speaker emphasized on the importance and applications of R programming language. He explained the basics of coding in R programming by considering different examples. He also stressed on the syntaxes and rules of using R programming. He also explained the procedures of importing the documents and explained how to save the programs after getting the output. Difference between R programming & Python was also discussed.

Dr.RameshAthe,Assistant Professor,IIIT Dharwad, Karnataka,Department of Data Science and Intelligence Systems presented a webinar on 18th Sep 2021 titled as “Introduction to Systematic Review and Meta-Analysis”. The speaker emphasized on the applications of statistics in Meta-Analysis and discussed real life examples. He also explained the importance of doing research and emphasized on paper publications. He gave few tips for choosing the objective of study and showed the procedure of navigating through PubMed applications.

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Dr. U. V. Somayajulu, Co-Founder, CEO, Sigma Research and consulting Pvt Limited, New Delhi presented a webinar on 10th Sep 2020, titled as “ SIGNIFICANCE OF STATISTICS IN POPULATION HEALTH RESEARCH”. The speaker emphasized on the importance of statistics in Health domain. He explained different concepts like problem formulation, sampling frame, pilot survey, population, sampling techniques, data preprocessing tools etc. with relevant examples.

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Dr. DebarshiDey, Associate Director,MorphosysAG, Munich,Germany presented a webinar on 29thJune 2020, titled as “How to Become Effective Statisticians”. The speaker emphasized on the applications of statistics in Pharmacuetical Industry and gave few tips to become an effective statistician. He also discussed real examples and explained the statistical tools to be applied in pharmaceutical field. He also encouraged students to become data analysts.

Prof.A.Dhandapani, Professor and Principal scientist at ICAR-NAARM presented a webinar on 27th May 2020, titled as “ National Webinar on Statistics & Agriculture”. Speaker emphasized on the real life applications of Statistics in the field of agriculture. Sir shared a different perspective of statistics and discussed different examples in Agriculture and Design of Experiments using Statistics. He also explained different statistical tools used in the analysis of Designs of Experiment and Agriculture.

SVSRK BHARADWAJ, Senior Manager - Operations, Sigma Research and Consulting New Delhi, India organized a two day Workshop on 28/12/2019 & 29/12/2019, titled as “ Skill Development Program on Survey Data Analysis Using SPSS”. The speaker emphasized on various methods used in SPSS. The speaker gave a brief idea on skill development, research design, selection of a sample, data collection, selection of respondent’s etc. Many real life examples were also given for easy understanding of the students.

Dr. D. Lalitha Devi, Head, Associate Professor,Department of Statistics,KGCW presented a seminar on 25/10/2018, titled as “ Steps involved in Quantitative Research”. The speaker emphasized on various methods used in quantitative research. The speaker gave a brief idea on hypothesis, research design, selection of a research site, data collection, selection of respondent’s etc. Many real life examples were also given for easy understanding of the students.

Ms. K. Sangeetha , Assistant Professor, departmet of statistics , KGCW presented a seminar on 20 September 2017, titled as “ Sampling Designs and Method of Data Collection”. The Speaker Emphasized on various designs of samples and collection of data by using statistics techniques. The speaker explained real life applications with suitable examples.

The Department signed an MoU with “Sigma India.org – an Analytics Company” to facilitate students for Internships and skill based training programs / workshops on the recent updates in the field of statistics.

Advanced learners are encouraged for Internships to work with real time data for practical application of the subject.

Seminars / Workshops / Skill based training programs are conducted for the benefit of the students to create a platform for understanding the recent changes in the subject.

On the occasion of National Statistics Day 2023 students participated in Quiz and Elocution competitions organised by NSSO and won prizes

On the occasion of Women's Day Celebrations 2023, the students of Statistics Dept. have attended a seminar on “ Data Science and Its Prospectus” held at Indian Statistical Institute, Hubsiguda, Hyderabad.

On the occasion of National Statistic Day Celebrations 2022, The Department of Statistics released a customized calendar and e-newsletter (Sankhya Samachar).

On the occasion of National Statistic Day Celebrations 2022, the students of Dept. Of statistics participated in quiz competition and essay writing competitions conducted by NSSO. Students got to know about National sample survey office and its functions, also had discussion with NSSO chief.

On the occasion of National Statistic Day Celebrations 2021, the students of Dept. of statistics performed a skit on the Importance of Statistics and conducted a Quiz on the topic of “Real life Applications of Statistics”

  • E - Newsletter.
  • Customized Calendar
  • SAC (Statistics Activity Center)
  • Students Seminars.
  • Train the Trainee.
  • Sa(M)pling Drive.
  • Distribution of Eco friendly Ganesha.
  • An Hour with our alumnae.
  • Weaversmart to Weaver’s Mart: A trip to Pochampally, GI of Telangana.
  • Project work.
  • Community connect: A visit to “Sadhana – A home for differently abled orphans”.
  • Club activities.

YEAR : I

SEMESTER : I

PAPER : 1

COURSE CODE :LA & LM

COURSE : LINEAR ALGEBRA AND LINEAR MODELS

This paper gives intuitive understanding of linear algebra and linear models

  • CO1: Basic Concepts of Vector Spaces, Moore Penrose and Generalized inverses and Homogeneous and NonHomogeneous Linear Equations
  • CO2 : Concepts of Characteristic Roots and Vectors and a broad introduction to Quadratic Forms
  • CO3:Basics of formulation of Linear Models , Different Linear Models and Linear Functions and the Concept of Multicollinearity
  • CO4: Concept of Simple Linear Regression, Multiple and Partial Correlations and broad analysis of Multiple Regression Models

YEAR : I

SEMESTER : I

PAPER : 2

COURSE CODE :PT

COURSE :PROBABILITY THEORY

This paper initially starts with an easy introduction into the topic which will serve as a basis to further development of knowledge about the concept

  • CO1 : Basics of Probability, Random variables, Riemann-Stieltjes Integration, Conditional Expectations and Conditional Variances, applications
  • CO2: Characteristic function and its properties and moment inequalities like Chebychev’s, Markov, and Cauchy Schwartz etc.
  • CO3: Understand the methods of Convergence in sequence of random variables
  • CO4: Understand Strong and Weak Law of large numbers and Central Limit Theorem

YEAR : I

SEMESTER : I

PAPER : 3

COURSE CODE : DT &ET

COURSE : DISTRIBUTION THEORY AND ESTIMATION THEORY

The core concept of the paper is to introduce the different standard distributions in practice and various estimation concepts

  • CO1: Learn about the standard distributions, compound distributions and truncated distributions
  • CO2: Understand the concept of functions of random variables, Central and Non Central Distributions and Order Statistics
  • CO3: An Introduction to estimation concepts Cramer-Rao Lower Bound, its applications, Rao-Blackwell Theorem, Lehmann –Scheff’s Theorem and point estimation by Jack-Knife and Bootstrap methods with examples
  • CO4: Understand the concepts of Method of Moments, Maximum Likelihood Estimation, CAN, BAN, Decision Theory

YEAR : I

SEMESTER : I

PAPER : 4

COURSE CODE : ST

COURSE : SAMPLING THEORY AND SURVEYS

  • CO1: Understand different sampling methods, drawing samples using Cumulative Total and Lahiri’s method
  • CO2: concepts of Ratio method estimation and Regression method of Estimation
  • CO3: Learning Cluster sampling and Sub Sampling and applications on data
  • CO4: Concepts of Planning of Sample Surveys and Non Sampling Errors

YEAR : I

SEMESTER : II

PAPER : 1

COURSE CODE : SI

COURSE : STATISTICAL INFERENCE

SI is the process of drawing conclusions about population .The syllabus has been designed to understand the broad directions of SI with fundamentals in a practical approach

  • CO1: Concepts of Hypothesis, MP and UMP tests, Neymann Pearson Lemma and its applications
  • CO2: Concepts of Unbiased and Consistent Tests, Relationship between Confidence Intervals and Hypothesis testing
  • CO3 : Learning various concepts of Non parametric estimation like Run Test, Kolmogorov Smirnov test,Kendall’s Tau , Ansari- Bradley,Kruskal-Wallis tests etc with applications
  • CO4 : A brief intuition of Sequential Probability Ratio Test with applications

YEAR : I

SEMESTER : II

PAPER : 2

COURSE CODE : ARA

COURSE : APPLIED REGRESSION ANALYSIS

To understand various linear and nonlinear regression models

  • CO1: Understand various concepts of Regression situations, Residuals and Outliers
  • CO2: Practice of choosing best regression equation in various methods and concepts of Ridge and Robust Regression
  • CO3: Learning of Logistic regression model in a deep manner along with interpretation
  • CO4: Non Linear regression models and Nonlinear Growth Models

YEAR : I

SEMESTER : II

PAPER : 3

COURSE CODE : MDA

COURSE : MULTIVARIATE DATA ANALYSIS

This paper introduces to necessary sections of transition of univariate data analysis techniques to multivariate data analysis techniques, guiding from very basics to all the way up to the level of an ascent in applying MDA techniques to data

  • CO1: Understand the concepts of Multinomial and Multivariate Normal distributions
  • CO2: Concepts of Wish art Distribution,Wilk’s λ Hoteling’s T 2 and applications
  • CO3: Concepts of Discriminant and Path analysis with examples and applications
  • CO4: Deep intuition of Principal Component Analysis, Factor Analysis, Cluster analysis in a practical approach

YEAR : I

SEMESTER : II

PAPER : 4

COURSE CODE : DOE

COURSE : DESIGN OF EXPERIMENTS

This paper exposes students to some of the most important techniques for experimental designs

  • CO1: Understanding ANCOVA and analysis of factorial experiments and Multiple comparison Tests
  • CO2: Learning Confounding concepts with applications for factorial experiments
  • CO 3: Analysis of BIBD, PBIBD, Lattice Design and Youden Square Design
  • CO4: Concepts of Response Surface Methodologies and Central Composite Designs

YEAR : II

SEMESTER : I

PAPER : 1

COURSE CODE : OR-I

COURSE : OPERATIONS RESEARCH –I

This paper helps to expanding knowledge of various OR techniques which covers Decision Theory, Integer Programming, Inventory Management, Queuing Theory

  • CO1: Basics of OR and concepts of Sensitivity Analysis and solving problems on them
  • CO 2: Introduction to Queuing Theory and concepts of various Queuing models, sequencing problems
  • CO3: Various models of Inventory Management and PERT CPM Network Problems
  • CO 4: Solving various problems Integer Programming and Stochastic programming Problem

YEAR : II

SEMESTER : I

PAPER : 2

COURSE CODE : FM

COURSE : FORECASTING MODELS

Through this paper different forecasting techniques are projected that can be used for time series analysis for Time Domain Data.

  • CO 1: Understand the concept of time series, its components, smoothing methods, stationarity, ACF and ACVF and Periodogram with applications
  • CO 2: Understanding AR (P), MA (q), ARMA (p, q) process and their properties
  • CO 3: Introduction to various Linear Non stationary Models, Model Identification and Model Estimation
  • CO 4: Model Diagnosis and checking

YEAR : II

SEMESTER : I

PAPER : 3

COURSE CODE : RT

COURSE : RELIABILITY THEORY

  • CO1: Brief introduction to Reliability Theory
  • CO2: Reliability of independent component, bounds on system, reliability with examples
  • CO3: Life distribution and Notion of aging classes
  • CO4: Maintenance & Replacement policies & Reliability Estimation

YEAR : II

SEMESTER : I

PAPER : 4

COURSE CODE : SPR

COURSE : STATISTICAL PATTERN RECOGNITION

Machine learning is spreading widely today that we probably use it dozens of times a day without knowing it. This paper provides a broad introduction to Statistical Pattern Recognition and few basic concepts of Machine Learning

  • CO1: Introduction Statistical Pattern Recognition, Linear Classifiers, Linear Discriminant Function and Statistical Decision Theory
  • CO2: An Intuition to various algorithms for classifier NN algorithm & Bayes classifier
  • CO3: Hidden Markov Model, Perceptron Model, Support Vector Machines Ensembling
  • CO4: Various Feature Selection & Extraction Techniques, an application for HandWritten Digit Recognition

YEAR : II

SEMESTER : II

PAPER : 1

COURSE CODE : SPQC

COURSE : STATISTICAL PROCESS AND QUALITY CONTROL

This paper takes deeper into the principles and tools associated with control phases of quality checking and management techniques.

  • CO 1 : Basic concepts of Process monitoring ,review of control charts for variable data and attributes and Control Gauging
  • CO 2 : Construction of Moving Average ,EWMA, CUSUM Charts and concept of Non parametric Control charts
  • CO 3 : Concepts of Single, Double ,Sequential ,ContinousSampling Plans
  • CO 4 :Introduction to Process Capability Analysis ,Multivariate Control charts , TQM and Six Sigma

YEAR : II

SEMESTER : II

PAPER : 2

COURSE CODE : ASP

COURSE : APPLIED STOCHASTIC PROCESS

Students can study the basic concepts of theory of stochastic process types like poisson, Markov, Birth and Death, Markov process etc., notions of ergodicity, stationarity and application of these terms in context.

  • CO1 :Basic and intuitive introduction to Markov Chains
  • CO 2 :Emphasis on Renewal Process and Branching Process and their applications
  • CO 3 :Applications of Stochastic Process in Biological Sciences, Communication and Information Systems ,Traffic Flow Theory
  • CO 4 : Applications of Stochastic process in Social and Behavioural Sciences and Business management

YEAR : II

SEMESTER : II

PAPER : 3

COURSE CODE : OR-II

COURSE : OPERATIONS RESEARCH-II

The objective of introducing this paper is to expose students to the basics of Neural Networks , the general concepts along with few basic methodologies ,algorithms and applications

  • CO 1 :Basics of Artificial Neural Networks .Understanding Artificial neuron models ,Neuron Activation functions ,ANN architecture and various ANN basic concepts
  • CO2 : Perceptron Learning algorithm and Applications and other learning algorithms
  • CO 3 : Core concepts of Radial Basis Functions and Self Organising Maps
  • CO 4 : Learning rules of Boltzmann Machine ,Hopfield ,Sigmoid belief and Stochastic machines and Applications of ANN in Classification ,Clustering, Regression and Time series

YEAR : II

SEMESTER : II

PAPER : 4

COURSE CODE : ANN

COURSE : ARTIFICIAL NEURAL NETWORKS

This paper is an extension to Operations Research paper in previous semester

  • CO 1 : Solving Non linear Programming Problems and Separate Programming problems
  • CO2 :Dynamic Programming and solving Linear Goal Programming and Linea r Integer Goal Programming
  • CO 3 : Introduction to Gametheory and simulation
  • CO 4 : s-S Policy and Replacement models for Inventory Management

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