The course is designed to train the students in analytical, experimental and quantitative approaches to solution of business problems. Emphasis is placed upon development of techniques which enable decision-makers to arrive at optimum solutions. Students develop skill in formulating and solving mathematical models dealing with inventory, waiting lines, game theory, linear programming, transportation, dynamic programming simulation and other decision tools.
Course Catalogue
Introduction. Sets and probability. Random variable and its probability distribution. Treatment of grouped sampled data. Some discrete probability distribution. Normal distribution. Sampling theory. Estimation theory. Tests of hypothesis. Regression and correlation. Analysis of variance.
Introduction to Statistics: what is statistics, statistical data, statistical methods, scope and limitation of statistics, Populations and Samples, collection and presentation of data, Grouped Data and Histograms, Some Graphical Methods: bar charts, time plots, Pie charts, scatter plots, box and Whisker plots, Measure of Central Tendency: mean, median and mode. Measure of Variations, Measure of Skewness, Moments and Kurtosis, difference between Variation and Skewness. Correlation and Regression Analysis: significance of the study of correlation, types of correlation, difference between correlation and regression Analysis, Sampling and Sampling Distributions, Survey Sampling Methods. Probability: Probability: meaning of probability, classical definition of probability, statistical probability, some theorems in probability, distribution function. Probability distributions: Binomial, normal and exponential distributions.
Statistics:
Introduction to Statistics: what is statistics, statistical data, statistical methods, scope and limitation of statistics, Populations and Samples, collection and presentation of data, Grouped Data and Histograms, Some Graphical Methods: bar charts, time plots, Pie charts, scatter plots, box and Whisker plots, Measure of Central Tendency: mean , median and mode, Measure of Variations, Measure of Skewness, Moments and Kurtosis, difference between Variation and Skewness, Correlation and Regression Analysis: significance of the study of correlation, types of correlation, difference between correlation and regression Analysis, Sampling and Sampling Distributions, Survey Sampling Methods.
Probability:
Probability: meaning of probability, classical definition of probability, statistical probability, some theorems in probability, distribution function, probability distributions:
Binomial, normal and exponential distributions.
The course is designed to give the students descriptive knowledge about Bangla phonology, morphology, syntax, semantics, and writing system. It will help them to acquire listening, speaking, reading and writing skills of Bangla language and finally they will have a comprehensive knowledge on literary analysis. After completion of this course the students will be able to know the sounds and sounds system of Bangla, understand the word and word formation rules, get input on Bangla sentences and its meaning, and present and write papers on literary genres.
Bangladesh emerged from a series of conflicts among different groups of people from a geographical area that constituted British India. This course examines the series of events through which the conflicts played out leading to the creation of a new country. We do so by asking questions: who, what, when, where, why? Who were individuals and groups in conflict? Why? What led to war? Who engaged in the fighting? Who supported which side? By asking questions and seeking answers, we can better understand the emergence of Bangladesh in 1971.
Questioning and discovery are integral to active learning: gaining knowledge and skills through effort and activity, whether individually or in groups. In this course, students are expected to take responsibility for learning, and take the initiative to gather information, make decisions, express ideas in writing, and perhaps revise those ideas, rather than simply listening to lectures. To this end, students in this course will be expected to go online, visit the library, and visit other sources of valuable information, including the Liberation War Museum.
Ethics or ethical philosophies are ways of understanding what makes human actions right or wrong. Philosophers have been considering ethical questions for thousands of years and have come up with a range of theories and approaches. This course introduces the students to key ethical theories; compares and contrasts the ethical commitments in different contexts; examines the ethical aims of structures encountered in real life; and provides a systematic overview of the sources of morality. It is expected that this course would offer tools to strengthen students’ ability to think critically about ethical issues and many opportunities to examine personal worldviews and moral beliefs.
The first part of the course will be devoted to getting an overview and taxonomy of ethics as a field, and then providing an introduction to critical thinking of ethical approaches, from the ancient to the contemporary. The second part of the course will consider a number of concrete moral dilemmas and problem-solving strategies that are useful for systematically assessing contemporary ethical issues ranging from gender inequality to development projects, environmental justice, cyber surveillance, and ethical concerns in academic and professional fields.