Message from the Chairman
Welcome to the Department of Statistics
The Department of Statistics, Jagannath University began its function in the year 1964, chaired by Professor Khodadad Khan. Others were Prof. Dr. Md. Abdul Kuddus, Prof. AbdusSamad Patoary, and Prof. Md. Nurul Islam and so on. It had also run courses for night shift students in 1968. Earlier, it started activities in the Higher Secondary and Bachelor of Degree Level. In the year 1973, it introduced B.Sc. (Honors) course which was ultimately followed by the introduction of Masters Course.
The Jagannath College was transformed into the Jagannath University in 2005 by Jagannath University Act 2005. However, the evening shift of the department merged with the day shift students soon after launching curriculum of the university.
At present, the department operates courses for Four Years B.Sc. Honors, One Year M.Sc., Two Years M. Phil. and Three Years Ph. D. Degree. Honors Course is comprised of 8 (eight) semesters each of which is 6 (six) months duration. The courses (major and related) offered for graduate level are compulsory for the students. The marks for each unit (3 credits) are distributed like 70% for semester final, 20% for midterm /quiz, 10% for class performance and attendance. Besides, it conducts minor courses of statistics for various departments under the Faculties of Science and Business Studies. There are 21 full time faculties and 11 supporting staff . The number of students is about 450 students in this department.
As an integral part of the curriculum, research work is carried out in the Masters level, M Phil and Ph. D. However, in order to maintain good advancement of knowledge, several activities like tutorials, in-course exams. Excursions, laboratory sessions are being arranged regularly.
Our vision is to boost our reputation as well-known teaching and research institution which is recognised for its excellence and invention, and attracts the best students from home and abroad.
About Department of Statistics
Programs
Department of Statistics
Jagannath University
Syllabus for B.Sc. (Honours) in Statistics
Semester-wise distribution of total credits
|
Year |
Semester |
Units |
Marks |
Credits |
|
1st |
1st |
5.50 |
500 |
16 |
|
2nd |
5.00 |
500 |
18 |
|
|
2nd |
1st |
5.00 |
500 |
18 |
|
2nd |
6.00 |
500 |
17 |
|
|
3rd |
1st |
5.00 |
500 |
19 |
|
2nd |
5.00 |
550 |
19 |
|
|
4th |
1st |
5.50 |
550 |
20 |
|
2nd |
4.50 |
600 |
23 |
|
|
Total |
|
|
150 |
|
Semester-wise distribution of Credits
First Year 1st Semester
|
Course Code |
Course Title |
Unit |
Marks |
Credit |
|
STA 1101 |
Introduction to Statistics |
1.00 |
100 |
3 |
|
STA 1102 |
Introduction to Probability |
1.00 |
100 |
3 |
|
STA 1103 |
Linear Algebra |
1.00 |
100 |
3 |
|
STA 1104 |
Calculus |
1.00 |
100 |
3 |
|
STA L 1105 |
Introduction to Statistics (Lab) |
0.50 |
50 |
2 |
|
STA L 1106 |
Linear Algebra (Lab) |
0.50 |
50 |
2 |
|
Total |
5.00 |
500 |
16 |
|
First Year 2nd Semester
|
Course Code |
Course Title |
Unit |
Marks |
Credit |
|
STA 1201 |
Probability Distributions |
1.00 |
100 |
3 |
|
STA 1202 |
Numerical Analysis |
0.50 |
50 |
2 |
|
STA 1203 |
Fundamentals of Computer Programming |
1.00 |
100 |
3 |
|
STA 1204 |
Microeconomics |
1.00 |
100 |
3 |
|
STA 1205 |
Advanced Calculus |
1.00 |
100 |
3 |
|
STA L 1206 |
Fundamentals of Computer Programming and Numerical Analysis (Lab) |
0.50 |
50 |
2 |
|
STA V 1207 |
Viva-Voce |
0.50 |
50 |
2 |
|
Total |
5.50 |
550 |
18 |
|
2nd Year 1st Semester
|
Course Code |
Course Title |
Unit |
Marks |
Credit |
|
STA 2101 |
Mathematical Statistics |
1.00 |
100 |
3 |
|
STA 2102 |
Introduction to Sample Survey |
0.50 |
50 |
2 |
|
STA 2103 |
Economic Statistics |
1.00 |
100 |
3 |
|
STA 2104 |
Macroeconomics |
1.00 |
100 |
3 |
|
STA 2105 |
History of the Liberation War of Bangladesh |
1.00 |
100 |
3 |
|
STA L 2106 |
Sample Survey (Lab) |
0.50 |
50 |
2 |
|
STA L 2107 |
Economic Statistics (Lab) |
0.50 |
50 |
2 |
|
Total |
5.50 |
550 |
18 |
|
2nd Year 2nd Semester
|
Course Code |
Course Title |
Unit |
Marks |
Credit |
|
STA 2201
|
Sampling Techniques |
1.00 |
100 |
3 |
|
STA 2202 |
Demography |
1.00 |
100 |
3 |
|
STA 2203 |
Time Series Analysis |
0.50 |
50 |
2 |
|
STA 2204 |
ordinary Differential Equations |
1.00 |
100 |
3 |
|
STA L 2205 |
Demography (Lab) |
0.50 |
50 |
2 |
|
STA L 2206 |
Sampling Techniques and Time Series Analysis (Lab) |
0.50 |
50 |
2 |
|
STA V 2207 |
Viva Voce |
0.50 |
50 |
2 |
|
Total |
5.00 |
500 |
17 |
|
3rd Year 1st Semester
|
Course Code |
Course Title |
Unit |
Marks |
Credit |
|
STA 3101 |
Theory of Estimation |
1.00 |
100 |
3 |
|
STA 3102 |
Test of Hypotheses |
1.00 |
100 |
3 |
|
STA 3103 |
Mathematical Analysis |
1.00 |
100 |
3 |
|
STA 3104 |
Industrial and Official Statistics |
0.50 |
50 |
2 |
|
STA 3105 |
Categorical Data Analysis |
0.50 |
50 |
2 |
|
STA 3106 |
Computer Programming with R |
0.50 |
50 |
2 |
|
STA L 3107 |
Estimation and Industrial Statistics (Lab) |
0.50 |
50 |
2 |
|
STA L 3108 |
Test of Hypotheses (Lab) |
0.50 |
50 |
2 |
|
Total |
5.50 |
550 |
19 |
|
3rd Year 2nd Semester
|
Course Code |
Course Title |
Unit |
Marks |
Credit |
|
STA 3201 |
Regression Analysis |
1.00 |
100 |
3 |
|
STA 3202 |
Design and Analysis of Experiments-I |
0.50 |
50 |
2 |
|
STA 3203 |
Stochastic Processes |
1.00 |
100 |
3 |
|
STA 3204 |
Introduction to Robust Statistics |
0.50 |
50 |
2 |
|
STA 3205 |
Research Methodology |
1.00 |
100 |
3 |
|
STA L 3206 |
Regression Analysis (Lab) |
0.50 |
50 |
2 |
|
STA L 3207 |
Design and Analysis of Experiments-I (Lab) |
0.50 |
50 |
2 |
|
STA V 3208 |
Viva Voce |
0.50 |
50 |
2 |
|
Total |
5.50 |
550 |
19 |
|
4th Year 1st Semester
|
Course Code |
Course Title |
Unit |
Marks |
Credit |
|
STA 4101 |
Econometrics |
1.00 |
100 |
3 |
|
STA 4102 |
Design and Analysis of Experiments-II |
0.50 |
50 |
2 |
|
STA 4103 |
Epidemiology |
1.00 |
100 |
3 |
|
STA 4104 |
Multivariate Analysis |
1.00 |
100 |
3 |
|
STA 4105 |
Bioinformatics |
1.00 |
100 |
3 |
|
STA L 4106 |
Econometrics and Epidemiology (Lab) |
0.50 |
50 |
2 |
|
STA L 4107 |
Design and Analysis of Experiments-II and Multivariate Analysis (Lab) |
0.50 |
50 |
2 |
|
STA L 4108 |
Statistical data Analysis using SPSS and STATA (Lab) |
0.50 |
50 |
2 |
|
Total |
6.00 |
600 |
20 |
|
4th Year 2nd Semester
|
Course Code |
Course Title |
Unit |
Marks |
Credit |
|
STA 4201 |
Operations Research |
1.00 |
100 |
3 |
|
STA 4202 |
Decision Theory and Bayesian Methods |
0.50 |
50 |
2 |
|
STA 4203 |
Biostatistics |
1.00 |
100 |
3 |
|
STA 4204 |
Basic Actuarial Statistics |
1.00 |
100 |
3 |
|
STA 4205 |
Statistical Simulation |
0.50 |
50 |
2 |
|
STA L 4206 |
Operations Research and Biostatistics (Lab) |
0.50 |
50 |
2 |
|
STA L 4207 |
Statistical Computing Using R (Lab) |
0.50 |
50 |
2 |
|
STAL 4208 |
Basic Actuarial Statistics (Lab) |
0.50 |
50 |
2 |
|
STA 4209 |
Research Project |
0.50 |
50 |
2 |
|
STA V 4210 |
Viva Voce |
0.50 |
50 |
2 |
|
Total |
6.00 |
600 |
23 |
|
Department of Statistics
Jagannath University
Syllabus for M.Sc. in Statistics
Distribution of total Credits for the two groups:
|
Group A (General) |
Credit |
Group B (Thesis) |
Credit |
||
|
1. |
Compulsory Courses |
21 |
1. |
Compulsory Courses |
21 |
|
2. |
Viva Voce |
2 |
2. |
Viva Voce |
2 |
|
3. |
Optional Courses |
3 |
3. |
Optional Courses |
3 |
|
4. |
Practical Courses |
10 |
4. |
Practical Courses |
4 |
|
|
|
|
5. |
Thesis |
6 |
|
|
Total |
36 |
|
Total |
36 |
Course Curriculum for General Group
M.Sc. 1st Semester
|
Course Code |
Course Title |
Unit |
Marks |
Credit |
Remarks |
|
STA 5101 |
Advanced Statistical Inference |
1.00 |
100 |
3 |
|
|
STA 5102 |
Applied Multivariate Analysis |
1.00 |
100 |
3 |
|
|
STA 5103 |
Advanced Sampling Methods |
1.00 |
100 |
3 |
|
|
STA 5104 |
Advanced Demography&Population Studies |
1.00 |
100 |
3 |
|
|
STA-L 5105 |
Advanced Statistical Inference and Applied Multivariate Analysis (Lab) |
0.50 |
50 |
2 |
|
|
STA-L 5106 |
Advanced Sampling Methods and Advanced Demography & Population Studies (Lab) |
0.50 |
50 |
2 |
|
|
Total |
5.00 |
500 |
16 |
|
|
M.Sc. 2nd Semester
|
Course Code |
Course Title |
Unit |
Marks |
Credit |
Remarks |
|
STA 5201 |
Advanced Design of Experiments |
1.00 |
100 |
3 |
|
|
STA 5202 |
Advanced Stochastic Processes |
1.00 |
100 |
3 |
|
|
STA 5203 |
Data Mining |
1.00 |
50 |
3 |
|
|
STA-L 5204 |
Advanced Design of Experiments (Lab) |
0.50 |
50 |
2 |
|
|
STA-L 5205 |
Data Mining (Lab) |
0.50 |
50 |
2 |
|
|
STA-L 5206 |
Relevant Optional Course (Lab) |
0.50 |
50 |
2 |
|
|
STA-V 5207 |
Viva -Voce |
0.50 |
50 |
2 |
|
|
STA 52…. |
Optional Course |
1.00 |
100 |
3 |
|
|
|
Optional Courses (Any one) |
|
|
|
|
|
STA 5208 |
Advanced Econometrics |
1.00 |
100 |
3 |
|
|
STA 5209 |
Advanced Biostatistics |
1.00 |
100 |
3 |
|
|
STA 5210 |
Time Series Analysis |
1.00 |
100 |
3 |
|
|
STA 5211 |
Environmental Statistics |
1.00 |
100 |
3 |
|
|
STA 5212 |
Advanced Robust Statistics |
1.00 |
100 |
3 |
|
|
Total |
|
6.00 |
600 |
20 |
|
Course Curriculum for Thesis Group
M.Sc. 1st Semester
|
Course Code |
Course Title |
Unit |
Marks |
Credit |
Remarks |
|
STA 5101 |
Advanced Statistical Inference |
1.00 |
100 |
3 |
|
|
STA 5102 |
Applied Multivariate Analysis |
1.00 |
100 |
3 |
|
|
STA 5103 |
Advanced Sampling Methods |
1.00 |
100 |
3 |
|
|
STA 5104 |
Advanced Demography & Population Studies |
1.00 |
100 |
3 |
|
|
STA-L 5105 |
Advanced Statistical Inference (Lab) and Applied Multivariate Analysis |
0.50 |
50 |
2 |
|
|
STA-L 5106 |
Advanced Sampling Methods and Advanced Demography & Population Studies (Lab) |
0.50 |
50 |
2 |
|
|
Total |
5.00 |
500 |
16 |
|
|
M.Sc. 2nd Semester
|
Course Code |
Course Title |
Unit |
Marks |
Credit |
Remarks |
|
STA 5201 |
Advanced Design of Experiments |
1.00 |
100 |
3 |
|
|
STA 5202 |
Advanced Stochastic Processes |
1.00 |
100 |
3 |
|
|
STA 5203 |
Data Mining |
1.00 |
100 |
3 |
|
|
STA-V 5207 |
Viva -Voce |
0.50 |
50 |
2 |
|
|
STA 52…. |
Optional Course |
1.00 |
100 |
3 |
|
|
|
Optional Courses (Any one) |
|
|
|
|
|
STA 5208 |
Advanced Econometrics |
1.00 |
100 |
3 |
|
|
STA 5209 |
Advanced Biostatistics |
1.00 |
100 |
3 |
|
|
STA 5210 |
Time Series Analysis |
1.00 |
100 |
3 |
|
|
STA 5211 |
Environmental Statistics |
1.00 |
100 |
3 |
|
|
STA 5212 |
Advanced Robust Statistics |
1.00 |
100 |
3 |
|
|
|
Thesis |
|
|
|
|
|
STA5215 |
Thesis- Dissertation and Defense |
1.50 |
150 |
6 |
|
|
Total |
|
6.00 |
600 |
20 |
|
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Software-Defined Network-Based Proactive Routing Strategy in Smart Power Grids Using Graph Neural Network and Reinforcement Learning
Authors: Md. Aminul Islam
Software-Defined Network-Based Proactive Routing Strategy in Smart Power Grids Using Graph Neural Network and Reinforcement Learning
Authors: Md. Aminul Islam
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