Applied Statistics Syllabus
Applied Statistics Course
Course Title | [COURSE TITLE] |
Course Code | [COURSE CODE] |
Office Hours | [OFFICE HOURS] |
Class Location | [CLASS LOCATION] |
Class Time | [CLASS TIME] |
Class Duration | [DATE] - [DATE] |
1. Course Description
This course offers a comprehensive introduction to applied statistics, focusing on both theoretical understanding and practical application. The course is intended for students with prior knowledge in basic statistics and calculus.
2. Instructor Information
Name: [Your Name]
Organizational Affiliation: [Your Company Name]
Contact Information: [Your Email]
3. Learning Objectives
Provide a thorough understanding of key concepts and methods in statistics.
Develop practical skills in data analysis using statistical software.
Apply statistical methods to real-world scenarios.
Interpret and communicate statistical findings effectively.
Appreciate the role and limitations of statistics in scientific research.
4. Course Schedule
Week | Topic | Readings |
|---|
1 | Introduction to Statistics | Chapters 1-2 |
2 | Probability Theory | Chapters 3-4 |
3 | Inferential Statistics | Chapters 5-6 |
4 | Data Analysis Techniques | Chapters 7-8 |
5 | Sampling Methods | Chapters 9-10 |
6 | Experimental Design | Chapters 11-12 |
5. Required Reading and Materials
"Fundamentals of Applied Statistics" Textbook
R Software - Free Download Available Online
Journals: The American Statistician, Journal of the Royal Statistical Society
Scientific Calculator
Notebooks for note-taking and problem solving
6. Assignments and Assessments
Assignment | Due Date |
|---|
Weekly Homework Assignments | [DUE DATE] |
Midterm Exam | [DUE DATE] |
Final Exam | [DUE DATE] |
Group Project | [DUE DATE] |
Class Participation | [DUE DATE] |
7. Course Policy
All assignments must be turned in on time. Late submissions will bear penalty.
Attendance is mandatory. Absences due to illness require a medical certificate.
A respectful and collaborative classroom environment should be maintained at all times.
Academic dishonesty, including plagiarism and cheating, will not be tolerated.
All communication including questions about the course should be made through official channels (in class or via email).
8. Grading Policy
Criteria | Percentage |
|---|
homework | 30% |
midterm exam | 25% |
final exam | 25% |
group project | 15% |
class participation | 5% |
Total | 100% |
Disclaimer
The syllabus that you have been provided, acts as a guideline for the entirety of the term. However, it should be noted that this document is not static and it may be subject to change. Your instructor retains the right to make necessary modifications to the course content, its schedule, and any policies associated with it. These changes can be implemented at any point during the term, as and when required.
Syllabus Templates @ Template.net
