Introduction
The institute has over the years played a significant role in the country's development by producing world-class statisticians for academia and industry in addition to providing statistical expertise on issues of national interest. In addition, the department provides statistical consultancy through StatLab primarily to students and faculty members of the University of Dhaka with the aim of strengthening research on campus by assisting graduate students and faculty members from other disciplines.
Vision and Mission of the Institute
The regulations for the admission of students and examinations will be the same as those of the B.S. The program includes courses of a theoretical and applied nature with intensive computing facilities, but more emphasis is placed on applications of statistical techniques to real-life situations arising in medicine, engineering, business, social, environmental and biological sciences.
Structure of the Program
For computer courses, 1 point corresponds to 15 teaching hours of 50 minutes each for laboratory work and 15 hours for practice.
Assessment System
Evaluation
Grading and Grade Point
Minimum Requirements for the Award of the B.S. Honours Degree in
The Chair of the Examination Committee will act as course coordinator for that session. For theoretical course end-of-course examinations, there will be two examiners: the course teacher will be the first examiner and the second examiner will be a faculty from within the department or from any other department of the University of Dhaka relevant to the subject. h) Third Examination: Under the double examiner system and in case of difference of more than 20% of marks, there will be a third examination. The average marks of the nearest two examiners (theory and project report) will be calculated for the final mark.
If a student obtains a grade of “C+” or lower in any theoretical course in any year, he/she will be allowed to repeat the term-end examination only once with the next batch for the purpose of grade improvement. For the purpose of grade improvement, a student will be allowed to repeat term-end examinations for a maximum of 8 (eight) credits in a specific year. A student will be allowed to repeat a maximum of 20 (twenty) credits in her/his four year BS program for degree enhancement. f) Improvement in the 4th year courses: Students will be allowed to sit for the improvement examination in the 4th year courses with the next batch, provided that they must do so before the publication of final result by the office of the Controller of Examinations or Issuance of Provisional Certificate by the Controller of Examination.
In this case, he must keep the grades of all subjects from the previous year, but not part of the subjects. Any subject not covered in the above guidelines will be governed by the existing rules for the Integrated Honors Course of the University of Dhaka.
Academic Year-wise List of Courses
Sustainable Development Goals (SDGs) and B.S. Honours Program in Applied
After completing the course, students are expected to (i) learn and understand in detail number theory and differential equations, (ii) improve basic mathematical knowledge, iii) be competent in the use of methods. After completing the course, students are expected to i) learn about basic programming concept ii) write program for matrix and vector operations, and iii) students will also be familiar with SQL. After completing the course, students should be familiar with the main concepts and uses of probability distribution and sampling in the theory of statistical inference.
The course will enable the understanding of the basic concepts of actuarial science and the evaluation of its role in the economy. Upon successful completion of the course, students are expected to know (i) demographic data sources and collection procedure (ii) calculate and interpret different types of fertility data (iii) measure different mortality statistics (iv ) marriage measures (v) migration statistics and effect on population growth. The course aims to develop an understanding of the idea and core concepts of numerical methods.
The main objective of the course is to teach students to analyze data from experimental research and survey data using statistical software R. The successful completion of the course will enable students to design and analyze an experiment. Upon completion of the course, students will be able to (i) understand the need for multi-stage sampling (ii) formulate the multi-stage design (iii) know methods for estimating variance in complex multi-stage design , and (iv) implement methods for designing a survey, especially large-scale survey at the national level.
The aim of the course is to introduce some useful multivariate techniques, and make strong use of illustrative examples. This course covers concepts and techniques used in industry to maintain process quality. In-depth knowledge of the subject will enable the student to analyze data from various sources.
The objective of this course is to equip students with linear regression methods and models used in the analysis of factorial experiments with an emphasis on the practical application of the methods. Upon completion of the course, students are expected to (i) know how to apply advanced probability to real-life problems and how to make predictions using transition probability theory and player annihilation theory, (ii) design simple stochastic process models in the time domain and provide qualitative and quantitative analyzes of such models, (iii) understand applications of stochastic processes in real life situations. The primary focus of the course is to acquaint students with the situation in which censored data appears and to be able to analyze it using appropriate methods and models.
Upon successful completion of the course, students are expected to (i) know the basic features of censored lifetime data, survival function, hazard functions, (ii) lifetime data distributions, (iii) parametric and nonparametric estimation of survival and hazard functions, (iv) formulation, estimation and interpretation of survival regression models and (v) application of methods to solve real-life problems. After completing the course students will learn how to plan and conduct a survey research. Upon successful completion of this course, students are expected to (i) identify the principal components of time series and apply an appropriate exponential smoothing technique to forecast with a variety of time series models such as additive or multiplicative seasonal models by updating the components, (ii) formulate time series regression models for series with trend and seasonal components and make predictions from these models, (iii) tentatively identify ARIMA models from ACF and PACF, (iv) estimate parameters of ARIMA models by the method of moments, the method of least squares and the method of maximum likelihood, and (v) check the fit of the model and make predictions.
Upon completion of the course, students will acquire skills on how to (i) use statistical software and packages to analyze data related to GLM (ii) fit models belonging to exponential family and interpret the results (ii) to compare and identify the appropriate models required for the data (iv) to analyze survival data by fitting appropriate survival models (v) to write report with statistical results.
Second Year
Third Year
Fourth Year
