Course Syllabus

COURSE DETAILS

Course Title	Fundamentals of Computer Science
Course Code	783-7057
Course Schedule	Mondays and Wednesdays
Class Location	[Your Company Address]
Class Time	10:00 AM to 12:00 NN

1. Course description

This course introduces students to the foundational concepts in computer science. Topics include introduction to computer systems, data structures and algorithms, and problem-solving skills. It aims to familiarize students with the basic principles of computational thinking and coding.

2. Instructor Information

Instructor: [Your Name]
Contact: [Your Email]
Organization: [Your Company Name]

3. Learning Objectives

• Understand basic computer systems and their operations.

• Acquire problem-solving skills using computational thinking and algorithms.

• Learn and apply basic programming principles.

• Become familiar with basic data structures and their applications in problem-solving.

• Develop skills for future advanced studies in the field of computer science.

4. Course Schedule

Week	Topic	Reading
1	Introduction to Computer Systems	Chapter 1, Textbook
2	Computational Thinking and Problem Solving	Chapter 2, Textbook
3	Introduction to Algorithms	Chapter 3, Textbook

5. Required Reading and Materials

1. Textbook: Introduction to Computer Science

2. Supplementary Reading: Computational Thinking for the Modern Problem Solver

3. An Encoding and Decoding Algorithm Handbook

4. Introduction to Data Structures

5. Access to an online code compiler (Recommendation: Repl.it)

6. Assignments and Assessments

• Weekly reading and problem-solving assignments

• Midterm project: Coding a simple program

• Final project: Coding a data structure-based program

• Midterm examination

• Final examination

7. Course Policy

• All assignments and readings must be completed and submitted by their respective deadlines.

• There are no makeup exams except for documented emergencies or medical conditions.

• Students are expected to participate and stay engaged in all online platform discussions.

• Academic honesty is expected, any form of plagiarism will lead to failure in the course.

• Respect and courtesy for fellow students and the instructor should always be maintained in the interest of fostering a conducive learning environment.

8. Grading Policy

Grade Component	Percentage
Assignments	30%
Midterm Project	15%
Final Project	25%
Midterm Exam	10%
Final Exam	20%

Disclaimer

This syllabus, which includes the schedule, and all elements therein are subject to potential alterations and modifications. Should any changes occur, they will be duly announced sufficiently ahead of time to avoid causing students any undue inconvenience. It is incumbent upon the student to consistently monitor the course's online platform to stay aware of any such updates and changes that may have been made.

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