Applied-statistics readme week 1

Tài liệu học tập môn Applied statistics (ENEE1006IU) tại Trường Đại học Quốc tế, Đại học Quốc gia Thành phố Hồ Chí Minh. Tài liệu gồm 4 trang giúp bạn ôn tập hiệu quả và đạt điểm 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

Thông tin:

4 trang 10 tháng trước

Tác giả:

Profile Như Hoa
lOMoARcPSD|359747 69
Guidance for online study
Developed by: Dr. Tran Thanh Tu (International University – VNM HCMC)
Title: APPLIED-STATISTICS_README_WEEK1.DOCX
1
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
Before this
class
Record groups and group’s number
Form the group and inform lecturer
Prepare lectures for this class
Read files: readme_week1, Introduction
and Lecture1
2
45 min.
Explain the content of the lectures (3
lectures audio+ppt)
Take notes
lOMoARcPSD|359747 69
Guidance for online study
Developed by: Dr. Tran Thanh Tu (International University – VNM HCMC)
Title: APPLIED-STATISTICS_README_WEEK1.DOCX
2
3
30 min.
Discussion & Answer questions (if any):
between each lecture explanation
Discussion & Ask questions (if any):
between each lecture explanation
4
After this
class
Upload assignment on Blackboard, set-up
submission deadline
Do assignment in group and submit on-
time
Record groups and group’s number
(cont.’)
Form the group and inform lecturer
(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
March 4th, 2020
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
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
next class
2.1
Download ppt files for Introduction, Lecture 1 and review at home
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”
• “1.Lecture1”
- Flv files (3 files)
- Additional materials: key terms
lOMoARcPSD|359747 69
Guidance for online study
Developed by: Dr. Tran Thanh Tu (International University – VNM HCMC)
Title: APPLIED-STATISTICS_README_WEEK1.DOCX
3
lOMoARcPSD|359747 69
Guidance for online study
Developed by: Dr. Tran Thanh Tu (International University – VNM HCMC)
Title: APPLIED-STATISTICS_README_WEEK1.DOCX
4
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lOMoARcPSD|359 747 69 Guidance for online study
Developed by: Dr. Tran Thanh Tu (International University – VNM HCMC)
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
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) 1 lOMoARcPSD|359 747 69 Guidance for online study
Developed by: Dr. Tran Thanh Tu (International University – VNM HCMC)
Title: APPLIED-STATISTICS_README_WEEK1.DOCX 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” • “1.Lecture1” - Flv files (3 files) -
Additional materials: key terms 2 lOMoARcPSD|359 747 69 Guidance for online study
Developed by: Dr. Tran Thanh Tu (International University – VNM HCMC)
Title: APPLIED-STATISTICS_README_WEEK1.DOCX 3 lOMoARcPSD|359 747 69 Guidance for online study
Developed by: Dr. Tran Thanh Tu (International University – VNM HCMC)
Title: APPLIED-STATISTICS_README_WEEK1.DOCX 4