MA2172 Applied Statistics for Sciences and Engineering

Part I

Course Duration: One semester

Credit Units: 3

Level: B2

Medium of Instruction: English

Prerequisites: Nil

Precursors: Nil

Equivalent Courses: MA2005, Probability and Statistics for Sciences and Engineering

Exclusive Courses: MA2506
                               MA2177
                               MA3160
                               MA3181
 

Part II      

Course Aims

This course aims to introduce statistics and its applications for science and engineering students. The objective is intended for students to solve some practical by statistical l methods. It will help students develop skills in thinking and  analysing  problems from a probabilistic and statistical point of view.

Course Intended Learning Outcomes (CILOs)
Upon successful completion of this course, students should be able to:

No.

CILOs

Weighting (if applicable)

1.

explain clearly concepts from probability and statistics.

1

2.

evaluate various quantities for probability distributions and random variables.

2

3.

perform statistical computations.

3

4.

develop probabilistic and statistical models for some applications, and apply statistical methods to a range of problems in science and engineering.

2

5.

the combination of CILOs 1-4

3

Teaching and Learning Activities (TLAs)
(Indicative of likely activities and tasks designed to facilitate students’ achievement of the CILOs. Final details will be provided to students in their first week of attendance in this course)

TLAs

ILO No.

Hours/week

Learning through teaching is primarily based on lectures.

1--5

39 hours in total

Learning through tutorials is primarily based on interactive problem solving allowing instant feedback.

 

1

2 hours

2

3 hours

3

4 hours

4, 5

4 hours

Learning through take-home assignments helps students understand basic concepts and techniques of statistics, and some applications in engineering.

1--5

         after-class

Learning through online examples for applications helps students apply statistical and computational methods to some problems in engineering applications.

4

         after-class

Learning activities in Math Help Centre provides students extra help.

2--4

         after-class

Assessment Tasks/Activities
(Indicative of likely activities and tasks designed to assess how well the students achieve the CILOs. Final details will be provided to students in their first week of attendance in this course)

30% Coursework

70% Examination (Duration: 2 hours, at the end of the semester)

For a student to pass the course, at least 30% of the maximum mark for the examination must be obtained.


Assessment Tasks/Activities

ILO No.

Weighting (if applicable)

Remarks

Test

2, 3

15-30%

Questions are designed for the first part of course to see how well the students have learned basic concepts and techniques of probability and estimation of parameters and some applications.

Hand-in assignments

1--4

0-15%

These are skills based assessment to see whether the students are familiar with the basic concepts, techniques of probability and statistics and related applications in science and engineering.

Examination

5

70%

Examination questions are designed to see how far students have achieved their intended learning outcomes. Questions will primarily be skills and understanding based to assess the student’s versatility in probability and statistics.

Formative take-home assignments

1--4

0%

The assignments provide students chances to demonstrate their achievements on statistics and its applications learned in this course.

Grading of Student Achievement: Refer to Grading of Courses in the Academic Regulations

Part III

Keyword Syllabus
Random variables. Distribution. Data and sample description. Estimation of parameters. Tests of hypothesis.  Regression. ANOVA.

Related Links
Department of Mathematics