Statistics Course Tables (Undergraduate) Statistics Course Tables (Undergraduate)

 

Table 1: General Courses

Prerequisite

Hours

Units

Course name

 

Sum

Practice

Theory

Sum

Practice

Theory

-

48

-

48

3

-

3

Persian Literature

-

48

-

48

3

-

3

English Language

-

24

16

8

1

0.5

0.5

Physical Education

-

24

16

8

1

0.5

0.5

Special Physical Education

-

32

32

-

1

1

-

Sports I

-

32

32

-

1

1

-

Special Sports

-

32

-

32

2

-

2

Family planning and population

-

192

-

192

12

-

12

Islamic teachings Courses (package)

 

 

Table 2: Core Courses

Prerequisite

Hours

Units

Course name

Sum

Practice

Theory

Sum

Practice

Theory

-

64

-

64

4

-

4

Calculus I

Calculus I

64

-

64

4

-

4

Calculus II

-

64

-

64

4

-

4

Probability and distribution theory I

-

64

-

64

4

-

4

Fundamentals of Computer Science and Programming

Calculus II

48

-

48

3

-

3

Differential Equations

-

64

-

64

4

-

4

Fundamentals of Mathematics

Fundamentals of Mathematics

64

-

64

4

-

4

Linear Algebra

Fundamentals of Mathematics, Calculus I

64

-

64

4

-

4

Mathematical Analysis I

-

64

-

64

4

-

4

An introduction to economics

 

 

 

Table 3: Mandatory Courses

Prerequisite

Hours

Units

Course name

 

Sum

Practice

Theory

Sum

Practice

Theory

Probability and distribution theory I

64

-

64

4

-

4

Probability and distribution theory II

Probability and distribution theory I

48

-

48

3

-

3

Statistical Methods

Probability and distribution theory II

48

-

48

3

-

3

Mathematical Statistics I

Mathematical Statistics I

48

-

48

3

-

3

Mathematical Statistics II

Probability and distribution theory I

48

-

48

3

-

3

An Introduction to Stochastic Processes and Applications I

Statistical Methods

48

-

48

3

-

3

Sampling methods I

Sampling methods I

48

-

48

3

-

3

Sampling methods II

Statistical Methods , Linear Algebra

48

-

48

3

-

3

Regression I

Statistical Methods

48

-

48

3

-

3

Nonparametric Statistical Methods

An Introduction to Stochastic Processes and Applications I

48

-

48

3

-

3

Time series I

Regression I

48

-

48

3

-

3

Design of experiments I

Design of experiments I

48

-

48

3

-

3

Design of experiments II

Mathematical Statistics II

48

-

48

3

-

3

Applied statistical multivariate analysis I

Regression I

48

-

48

3

-

3

An introduction to categorical data analysis I

Regression I

48

-

48

3

-

3

Computational methods for Statistics

Mathematical Analysis I

64

-

64

4

-

4

Fundamentals of Numerical Analysis

 

 

Table 4: Optional Courses

Prerequisite

Hours

Units

Course name

Sum

Practice

Theory

Sum

Practice

Theory

Statistical Methods

48

-

48

3

-

3

Statistical quality control

Mathematical Analysis I, An Introduction to Stochastic Processes and Applications I

48

-

48

3

-

3

An introduction to stochastic calculus

Mathematical Statistics I

48

-

48

3

-

3

Bayesian statistics

Applied statistical multivariate analysis I

48

-

48

3

-

3

Applied statistical multivariate analysis II

An Introduction to Stochastic Processes and Applications I

48

-

48

3

-

3

An introduction to queing theory

Statistical Methods

48

-

48

3

-

3

Statistics for business

Regression I

48

-

48

3

-

3

Regression II

Time series I

48

-

48

3

-

3

Time series II

Probability and distribution theory II

48

-

48

3

-

3

Simulation methods

Sampling methods I

48

-

48

3

-

3

An introduction to official statistics

-

48

-

48

3

-

3

An introduction to demographics

-

48

-

48

3

-

3

An introduction to sociology

An Introduction to Stochastic Processes and Applications I

48

-

48

3

-

3

An introduction to information theory

Mathematical Statistics II

48

-

48

3

-

3

An Introduction to decision theory

Mathematical Statistics II

48

-

48

3

-

3

An Introduction to reliability theory

Mathematical Statistics II

48

-

48

3

-

   3

Sequential methods

Computational methods for Statistics, Regression I

48

-

48

3

-

   3

Survival analysis methods

Probability and distribution theory I

48

-

48

3

-

   3

Data mining

-

64

-

64

4

-

4

Fundamentals of Combinatorics

Mathematical Analysis I, Linear Algebra

64

-

64

4

-

4

Linear Optimization I

Linear Optimization I

64

-

64

4

-

4

Linear Optimization II

 

 

 

Table 4: Optional Courses (continue)

Prerequisite

Hours

Units

Course name

Sum

Practice

Theory

Sum

Practice

Theory

Linear Optimization I, Fundamentals of Numerical Analysis

48

-

48

3

-

   3

Nonlinear Optimization

-

32

-

32

2

-

   2

Physics I

Physics I, Calculus II

32

-

32

2

-

   2

Physics II

 With permission

48

-

48

3

-

   3

Topics in Statistics

-

32

-

32

2

-

   2

Scientific Writing

-

32

-

32

2

-

   2

Internship

Scientific Writing

48

-

48

3

-

   3

Under graduate project