Applied-statistics readme week1 | Trường Đại học Quốc tế, Đại học Quốc gia Thành phố Hồ Chí Minh

Week #: 1. Chapter #: Introduction + Chapter 11. Objective: Students will be able to: Remember schedule and contents for this course in the whole semester.   List textbooks and references for the course.  Understand rules and evaluation criteria of the course.  Discover the learning outcomes of the course.  Memorize the principles of data and statistics (data classification, data sources). Tài liệu giúp bạn tham khảo, ôn tập và đạt kết quả cao. Mời bạn đọc đón xem!

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Môn: Applied statistics (ENEE1006IU)

Trường: Trường Đại học Quốc tế, Đại học Quốc gia Thành phố Hồ Chí Minh

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lOMoARcPSD| 45903860
Guidance for online study
Title: APPLIED-STATISTICS_README_WEEK1.DOCX
1
DATE: Saturday, February 29, 2020
Week #: 1
Chapter #: Introducon + Chapter 1
1. Objecve: Students will be able to:
- Remember schedule and contents for this course in the whole semester
- List textbooks and references for the course
- Understand rules and evaluaon criteria of the course
- Discover the learning outcomes of the course
- Memorize the principles of data and stascs (data classicaon, data sources)
2. Content:
2.1 Introducon
- Introducon to the course: Schedule and content for:
• Theory (15 weeks, 2 periods/week)
• Pracce (labwork) (6 weeks, 5 periods/week)
- Rules and evaluaon structure
- List of textbook and references - List of learning outcomes
2.2 Chapter 1: Data and Stascs
- Data classicaon:
• Elements, Variables, and Observaons
• Scales of Measurement
• Categorical and Quantave Data • Cross-Seconal and Time Series Data - Data
sources:
• Exisng Sources
• Observaonal Study
• Experiment
• Time and Cost Issues • Data Acquision Errors
3. Acvity:
No.
Duraon
Lecturer
Student
lOMoARcPSD| 45903860
Guidance for online study
Title: APPLIED-STATISTICS_README_WEEK1.DOCX
2
1
Before this
class
Record groups and group’s number
Form the group and inform lecturer
Prepare lectures for this class
Read les: readme_week1, Introducon
and Lecture1
2
45 min.
Explain the content of the lectures (3
lectures audio+ppt)
Take notes
3
30 min.
Discussion & Answer quesons (if any):
between each lecture explanaon
Discussion & Ask quesons (if any):
between each lecture explanaon
4
Aer this
class
Upload assignment on Blackboard, set-up
submission deadline
Do assignment in group and submit on-
me
Record groups and group’s number
(cont.’)
Form the group and inform lecturer
(cont.’)
Prepare lectures for the next class
Review Lecture1
Read les: readme_week2 and
Lecture2
4. Reecon quesons / Homeworks (to be submied in group, not individual):
No.
Work
Submission Due
I
Reecon quesons
March 4th, 2020
1
In “Applied-stascs_ Lecture1_part1.v”
1.1
How do you recognize stascs in your eld of study?
2
In “Applied-stascs_ Lecture1_part2.v”
2.1
What are the roles of scales of measurement?
2.2
Give examples of qualitave data and quantave data in your eld of
study.
3
In “Applied-stascs_ Lecture1_part3.v”
3.1
Discuss more about the pros and cons of data from exisng sources.
3.2
Discuss more about the pros and cons of data from observaonal study.
II
Homeworks
1 day before the
next class
2.1
Download ppt les for Introducon, Lecture 1 and review at home
2.2
Prepare quesons and discussion points related to Lecture 1
2.3
Download ppt les for Lecture 2 and review at home
5. Note:
- Students must submit the works by due date menoned in Secon 4. Late or no submission will be
recorded.
- Students use submission form provided by lecturer to submit answers/homeworks.
6. Reference:
- Ppt les (mandatory):
• “0.Introducon”
lOMoARcPSD| 45903860
Guidance for online study
Title: APPLIED-STATISTICS_README_WEEK1.DOCX
3
• “1.Lecture1”
- Flv les (3 les)
- Addional materials: key terms
lOMoARcPSD| 45903860
Guidance for online study
Title: APPLIED-STATISTICS_README_WEEK1.DOCX
4
lOMoARcPSD| 45903860
Guidance for online study
Title: APPLIED-STATISTICS_README_WEEK1.DOCX
5
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lOMoAR cPSD| 45903860 Guidance for online study
Title: APPLIED-STATISTICS_README_WEEK1.DOCX
DATE: Saturday, February 29, 2020 Week #: 1
Chapter #: Introduction + Chapter 1
1. Objective: Students will be able to: -
Remember schedule and contents for this course in the whole semester -
List textbooks and references for the course -
Understand rules and evaluation criteria of the course -
Discover the learning outcomes of the course -
Memorize the principles of data and statistics (data classification, data sources) 2. Content: 2.1 Introduction -
Introduction to the course: Schedule and content for:
• Theory (15 weeks, 2 periods/week)
• Practice (labwork) (6 weeks, 5 periods/week) -
Rules and evaluation structure -
List of textbook and references - List of learning outcomes
2.2 Chapter 1: Data and Statistics - Data classification:
• Elements, Variables, and Observations • Scales of Measurement
• Categorical and Quantitative Data •
Cross-Sectional and Time Series Data - Data sources: • Existing Sources • Observational Study • Experiment
• Time and Cost Issues • Data Acquisition Errors 3. Activity: No. Duration Lecturer Student 1 lOMoAR cPSD| 45903860 Guidance for online study
Title: APPLIED-STATISTICS_README_WEEK1.DOCX 1
Before this Record groups and group’s number
Form the group and inform lecturer class
Prepare lectures for this class
Read files: readme_week1, Introduction and Lecture1 2 45 min.
Explain the content of the lectures (3 Take notes lectures audio+ppt) 3 30 min.
Discussion & Answer questions (if any):
Discussion & Ask questions (if any):
between each lecture explanation
between each lecture explanation 4 After this
Upload assignment on Blackboard, set-up
Do assignment in group and submit on- class submission deadline time
Record groups and group’s number
Form the group and inform lecturer (cont.’) (cont.’)
Prepare lectures for the next class Review Lecture1 Read files: readme_week2 and Lecture2
4. Reflection questions / Homeworks (to be submitted in group, not individual): No. Work Submission Due I Reflection questions 1
In “Applied-statistics_ Lecture1_part1.flv”
1.1 How do you recognize statistics in your field of study? 2
In “Applied-statistics_ Lecture1_part2.flv”
2.1 What are the roles of scales of measurement?
2.2 Give examples of qualitative data and quantitative data in your field of March 4th, 2020 study. 3
In “Applied-statistics_ Lecture1_part3.flv”
3.1 Discuss more about the pros and cons of data from existing sources.
3.2 Discuss more about the pros and cons of data from observational study. II Homeworks 1 day before the
2.1 Download ppt files for Introduction, Lecture 1 and review at home next class
2.2 Prepare questions and discussion points related to Lecture 1
2.3 Download ppt files for Lecture 2 and review at home 5. Note: -
Students must submit the works by due date mentioned in Section 4. Late or no submission will be recorded. -
Students use submission form provided by lecturer to submit answers/homeworks. 6. Reference: - Ppt files (mandatory): • “0.Introduction” 2 lOMoAR cPSD| 45903860 Guidance for online study
Title: APPLIED-STATISTICS_README_WEEK1.DOCX • “1.Lecture1” - Flv files (3 files) -
Additional materials: key terms 3 lOMoAR cPSD| 45903860 Guidance for online study
Title: APPLIED-STATISTICS_README_WEEK1.DOCX 4 lOMoAR cPSD| 45903860 Guidance for online study
Title: APPLIED-STATISTICS_README_WEEK1.DOCX 5