Grade Syllabus
Grade Syllabus
Company Name: [YOUR COMPANY NAME]
Company Number: [YOUR COMPANY NUMBER]
Company Address: [YOUR COMPANY ADDRESS]
Company Website: [YOUR COMPANY WEBSITE]
Company Social Media: [YOUR COMPANY SOCIAL MEDIA]
Welcome to the Academic Planning Grade Syllabus. This document is designed to assist you in effectively managing your academic workload and understanding the grading criteria for your course. Below you will find detailed information about the grading structure, key dates, and assessment methods that will guide your academic journey for this term.
Course Overview
Course Title: Advanced Data Analytics
Course Code: DATA 501
Instructor: [YOUR NAME]
Office Hours: Monday and Wednesday from 2:00 PM to 4:00 PM
Contact Information: [YOUR EMAIL]
Grading Criteria
The following table outlines the components of your grade and their respective weightings. This structure will help you prioritize your efforts and plan your study schedule effectively.
|
Assessment Component |
Description |
Weight |
Due Date |
Submission Method |
|---|---|---|---|---|
|
Assignments |
Various written tasks |
30% |
February 20, 2050 |
Online Submission |
|
Midterm Exam |
In-class exam |
25% |
March 15, 2050 |
In-Class |
|
Final Exam |
Comprehensive exam |
30% |
May 15, 2050 |
In-Class |
|
Projects |
Group or individual |
10% |
April 10, 2050 |
Online Submission |
|
Participation |
Class engagement and input |
5% |
Throughout Term |
N/A |
Important Dates
Use the following table to keep track of important deadlines and events throughout the term.
|
Event |
Date |
Description |
Location |
Notes |
|---|---|---|---|---|
|
First Day of Class |
January 15, 2050 |
Start of the semester |
Room 204 |
N/A |
|
Assignment 1 Due |
February 20, 2050 |
First major assignment |
Online Submission |
Submit via Canvas |
|
Midterm Exam |
March 15, 2050 |
Midterm Examination |
Room 204 |
Bring ID |
|
Project Presentation |
April 10, 2050 |
Project Presentations |
Room 204 |
Group presentations |
|
Final Exam |
May 15, 2050 |
Final Examination |
Room 204 |
Review session on May 10 |
Additional Information
-
Academic Integrity: All students are expected to adhere to the highest standards of academic honesty. Cheating or plagiarism will result in disciplinary action.
-
Late Submissions: Late assignments will be penalized as per the course policy outlined in the full course syllabus.
-
Special Accommodations: If you require any special accommodations, please contact the instructor at least two weeks before the first major assignment due date.
Feel free to reach out with any questions or concerns regarding this syllabus or your academic planning for the term.
Prepared by: [YOUR NAME]
Email: [YOUR EMAIL]
