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Module Description

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Nguyễn Gia Hào

Academic year: 2023

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Module Description

Module name Course Module Module level, if

applicable

Bachelor of Electrical Engineering

Code, if applicable 5005-014-2 Subtitle, if

applicable

-

Course, if applicable

Statistics

Semester(s) in which the module is taught

5th semester (odd semester)

Person responsible for the module

Lecturer of Course

Lecturer Dr. Daryanto, MT

Language Indonesian

Relation to Curriculum

This course is a compulsory course and offered in the 5th semester (odd semester)

Type of teaching, contact hours

Teaching methods used in this course are:

- Lecture (i.e., group investigation, small group discussion, case study)

-Structured assignments (i.e., essay and case study)

The class size for lecture is 30 students.

Contact hours for lecture is 27 hours, assignments (structured tasks) is 32 hours and learn individually 32 hours

Workload For this course, students are required to meet a minimum of 87 hours in one semester, which consist of:

-23 hours for lecture

-32 hours for structured assignments -32 hours for learn individually

Credit points 2 credit points (equivalent with 3 ECTS) Requirements

according to the examination regulations

Students must have attended all classes and submitted all class assignments that are scheduled before the final tests.

Recommended prerequisites

-

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Module

objectives/intended learning outcomes

After completing the course and given with this case:

Course Learning Objectives (CLO):

1. Understanding basic descriptive statistics, and frequency distribution through graphs (5)

2. Explaining the stages of measuring mean value, measuring variability, measuring dispersion, collecting field data, and normal distribution (15)

3. Explaining the basic concepts of Combined Distribution and Basic Concepts of Correlation (15)

4. Explaining the relationship between variables (15)

5. Calculating correlation coefficient, Correlation Square and Spearman Correlation (20)

6. Applying Y predictions based on X, and predictions using Linear Regression (30)

Students will learn about:

Basic Descriptive Statistics, Introduction to Frequency Distribution, Frequency Distribution through Graphs, Measuring Mean Values, Measurement of Variability, Measurement of Dispersion, Field Data Collection, Normal Distribution, Basic Concepts of Combined Distribution, Basic Concepts of Correlation: Covering the Relationship between Two Variables, Correlation Coefficients, Characteristics of Coefficients Correlation, Calculating correlation coefficient, Correlation Square and Spearman Correlation: Including the squared correlation coefficient and Spearman Brown correlation coefficient, Simple Linear Regression: Establishing the relationship between variables, Making predictions Y based on X, Making predictions using Linear Regression.

Forms of Assessment

Assessment is carried out based on written examinations, assessment/evaluation of the learning process and performance with the following components: Structured tasks: 40% ; Mid Test : 30% Final Test: 30%

Study and examination requirements and forms of

examination

Study and examination requirements:

- Students must attend 15 minutes before the class starts.

- Students must switch off all electronic devices.

- Students must inform the lecturer if they will not attend the class due to sickness, etc.

- Students must submit all class assignments before the deadline.

- Students must attend the exam to get final grade.

Form of examination:

- Written exam: Essay - Portofolio

Media employed Direct Whiteboard and Power Point Presentation.

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Reading list 1. Howerl, David C. (1987). Statistical methods for Psychology.

Boston :Duxbury Press.

2. Pedhazur, E.J. (1982). Multiple Regresion Bihavioral Research.

New York : Holt, Rinehart and Wiston

3. Dajan, Anto, 1996, Pengantar Metode Statistik, LP3ES

Referensi

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