# Course Syllabus Academic Year 2018)

Course Syllabus (Academic Year 2018) School of Interdisciplinary Studies, Kanchanaburi Campus, Mahidol University . 1. Course No. and Title: KAID208 P...

Course Syllabus (Academic Year 2018) School of Interdisciplinary Studies, Kanchanaburi Campus, Mahidol University 1. Course No. and Title Credit (study hours) 2. Program Name

: KAID208 Probability and Applied Statistics : 3(3-0-6) : Bachelor of Engineering Program in Environmental Engineering and Disaster Management

3. Course Module

: Major Required Courses

Pre/co-requisite

:1st Semester  2nd Semester

4. Class Semester

:

5. Class Schedule & Venue 6. Class Coordinator

: M 09:30 – 12.30, Room 2312 : Dr. Nuengruithai Tharawatcharasart

Email : [email protected] 7. Course Description Classification of statistical data, collection, organization, display and analysis of data, probability, random variable, discrete and continuous probability distributions, sampling and sampling distributions, estimation, hypothesis testing, analysis of variance, correlation and regression analysis, application of statistics. 8. Course Objectives / Course Learning Outcomes (CLOs) No.

Objectives / CLOs

8.1 To provide students with knowledge and understanding of statistics and application of statistics. 8.2 To instruct students of the statistic and the application of scientific data, concepts, and statistic models.

Expected Skills / Knowledge Specific

Generic

Knowledge

PLOs

8.3 To provide students with problem solving skills by an approach that describes statistics. 8.4 To provide students with basic skills of statistics that can be applied. 9. Class Instructor List 9.1 Name : Dr. Nuengruithai Tharawatcharasart (NT) Email : [email protected] 10. Course Outline Week 1 2

Date

Contents

CLOs

Instructor’s Names

16/01/18 Introduction : Introduction to statistics

1

NT

23/01/18 Introduction : Classification of statistical data,

1

NT

organization, display and analysis of data

3

30/01/18 Probability

1

NT

4

6/02/18

1

NT

5

13/02/18 Discrete and continuous probability distribution

1

NT

6

20/02/18 Discrete and continuous probability distribution

1

NT

7

27/02/18 Sampling and sampling distributions

1

NT

8

5/03/18

9

Random variable

Sampling and sampling distributions Mid-term Examination

10

20/03/18 Estimation

1

NT

11

27/03/18 Estimation

1

NT

12

3/04/18

Hypothesis testing

1

NT

13

10/04/18 Hypothesis testing

1

NT

14

17/04/18 Analysis of variance

1

NT

15

24/04/18 Computer applications

1-4

NT

16

1/05/18

Correlation and regression analysis

1-3

NT

17

8/05/18

Application of statistics

1-3

NT

18 19

Final Examination

11. Course Assessment Weight No.

Methods / Activities

Regulations

CLOs

Week

Distribution (%)

Writing examination (Open

11.1 Mid-term exam

book) Writing examination (Open book)

11.2 Final exam Quiz / Assignments /

11.3

Personal homework

8.1, 8.2

9, 13

40

8.1, 8.2, 8.3

18-19

40

2-16

20

8.1, 8.2,

Complete and On time

8.3

Total

100

Score

Score

Score

Score

A

≥ 80 %

B

70 – 74.99%

C

60 – 64.99%

D

50 – 54.99%

B+

75 – 79.99%

C+

65 – 69.99%

D+

55 – 59.99%

F

< 50 %

 Norm-referenced evaluation *If use both criterion and norm-referenced evaluation, please tick two boxes. 13. References 13.1

Brook, R. J., And Arnold, G. C. (1985). Applied Regression Analysis and

13.2

Diamond, W. J. (1988). Practical experiment designs for engineer and scientists.

13.3

Gomez, Kwanchai A. and Arturo A.(1984). Statistical Procedures for Agricultural

13.4

Kuehl, R. O.(1994). Statistical Principles of Research Design and Analysis.

13.5

Neter, J., Wasserman, W., AndKutner, M. (1990). Applied Linear Statistical Models.

Experimental Design. New York and Basel : Marcel Dekker, Inc.

2nded. New York :Van Nostrand Reinhold.

Research. 2nded.New York :John Wiley & Sons, Inc.

California : Duxbury Press.

3rded. Homewood, III :Richard D. Irwin, Inc.

13.6

Peterson, R. G. (1985). Design and Analysis of Experiments. New York :Marcel Dekker, Inc.