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