MEEM8011 Statistical Modeling and Design of Experiments

Course Duration:  One Semester

No. of Credit Units:  3

Level:  R8

Medium of Instruction:  English

Prerequisites:  Nil

Precursors:   Knowledge in Basic Probability and Statistics          

Equivalent Courses:  Nil

Exclusive Courses:  Nil

Part II

1.  Course Aims:

This course aims to develop students' abilities to understand the theory and application methods on statistical modeling of observational data and design of experiment data, including linear models, regression models, and analysis of variance models.

2.  Course Intended Learning Outcomes (CILOs): 

Upon successful completion of this course, students should be able to:

No.

CILOs

Weighting

(if applicable)

1.

Develop a familiarity with basic statistical estimation and hypothesis testing ideas and methods

1

2.

Understand simple and multiple linear regression models and corresponding inference methods for process characterization and prediction.

3

3.

Understand motivations and needs for design of experiments in manufacturing and other applications.

1

4.

Understand design and analysis of experiments methods to characterize and improve systems and processes.

3

5.

Understand and apply regression methods and design of experiment methods to analyze and solve real life problems and applications.

2

3.  Teaching and learning Activities (TLAs)

Activity Type

Timetabled Activity (Hours per week)

Lecture/Tutorial/Laboratory Mix

Lecture (3)

 

TLA

ILO

Lecture

Total hours

CILO 1

6

6

CILO 2

12

12

CILO 3

3

3

CILO 4

12

12

CILO 5

6

6

Total

39

39

4.   Assessment Tasks/Activities (ATs)

Examination duration:      Nil

Percentage of coursework, examination, etc.:  100% continuous assessment

(25 % Coursework;   35% Midterm Test; 40% Group Project)

5.   Grading of Student Achievement:

Grading Pattern: Standard (A+AA-…..F)

Please refer to Grading of Courses in the Academic Regulations

      Detailed breakdown is given in the following table:

CILO No.

Group Work

Individual Coursework

Test

Overall Weighting

CILO 1

-

5

-

5

CILO 2

10

10

15

35

CILO 3

10

-

5

15

CILO 4

10

10

15

35

CILO 5

10

-

-

10

Total (%)

40%

25%

35%

100%

 

Part III          

Keyword Syllabus:

·         Statistical estimation and hypothesis testing

·         Data collection, data analysis, and model prediction

·         Regression modeling and analysis

·         Design and analysis of Experiments

·         Analysis of Variance modeling

·         Process estimation and prediction

·         Process characterization and improvement

·         Robust design and parameter design

Related Links
Department of Manufacturing Engineering and Engineering Management