Computer Skills and Artificial Intelligence (CT101)

Course Title: Computer Skills and Artificial Intelligence

Course Code: CT101

Program: Common First Year

Department: Self-Development Skills Department

College: Common First Year Deanship

Institution: King Saud University

Version: First - 30-08-2026

Last Revision Date: 30-08-2026

A. General information about the course:

1. Course Identification

1. Credit hours: (3)

2. Course type
A.	☐ University	☐ College	☐ Department		☒ Track	☐ Others
B.	☒ Required			☐ Elective
3. Level/year at which this course is offered: (Common First Year)
4. Course General Description:
This course provides foundational computer skills and an introduction to artificial intelligence. It addresses the technical competencies and developments that students need throughout their university studies and beyond. The course covers computing basics and text Processing essentials, Data Visualization and Insight with Excel dashboards, Presentation Graphics essentials, Algorithms and Python Programming concepts, Artificial Intelligence: Concepts, Mechanism, and Ethics, Prompt Engineering and AI Agents.
5. Pre-requirements for this course _{(if any)}:
None
6. Co-requisites for this course _{(if any)}:
None
7. Course Main Objective(s):
Developing students’ foundational knowledge in information technology, Microsoft Office 2021, Python programming, and artificial intelligence, along with the essential skills required.

2. Teaching mode (mark all that apply)

No	Mode of Instruction	Contact Hours	Percentage
1	Traditional classroom	-	-
2	E-learning	60	100%
3	Hybrid Traditional classroom E-learning	- -	- -
4	Distance learning	-	-

3. Contact Hours (based on the academic semester)

No	Activity	Contact Hours
	Lectures	24
	Laboratory/Studio	24
	Field	-
	Tutorial	-
	Others (Self Learning Project , PCA and Exam review )	12
Total		60

B. Course Learning Outcomes (CLOs), Teaching Strategies and Assessment Methods

Code	Course Learning Outcomes	Code of PLOs aligned with the program	Teaching Strategies	Assessment Methods
1.0	Knowledge and understanding
1.1	Explains basic computer terms and concepts such as (computing fundamentals, Word program, and Excel program).	Not Applicable The course is not linked to any specific program, as it is a (university requirement) shared across all university programs and not tied to a particular program.	Classroom Presentation. Brainstorming and asking questions.	Midterm Exam: Multiple choice questions True or false questions
1.2	Describes the fundamental concepts related to various topics, including algorithms, the Python programming language, Microsoft PowerPoint, and artificial intelligence.		Classroom Presentation. Brainstorming and asking questions.	Final Exam: Multiple choice questions True or false questions
2.0	Skills
2.1	Applies advanced skills in word processing and preparing documents using Microsoft Word, and creating and analyzing electronic spreadsheets using Microsoft Excel.	Not Applicable	Practical training	Midterm Exam: Application of practical skills in tests.
2.2	Creates interactive and professional presentations using PowerPoint tools and learns how to write programming commands in the Python programming language.		Practical training	Final Exam: Application of practical skills in tests.
2.3	Demonstrates proficiency in practical skills required to complete the self-directed learning project.		Project-based learning	Evaluation form
2.4	Applies cognitive and practical skills by solving the practical exercises.		Practical training	PCA- practical simulation system
3.0	Values, autonomy, and responsibility
3.1	He takes the initiative to independently complete innovative software solutions and technology projects, employing self-learning tools and modern applications.	Not Applicable	Self-directed learning. The course instructor supervises the project and guides the student to complete it properly, ensuring that all requirements are fully addressed.	self-learning project
3.2	Adheres to ethical standards and professional responsibility in the use and guidance of generative artificial intelligence applications and intelligent agents.	Not Applicable	Guiding students on the ethics and appropriate practices for using artificial intelligence tools.	The computerized final examination (for the theoretical component of Chapter Five).

C. Course Content

No	List of Topics	Contact Hours
	Introduction To Course	2
	Computing Basics and Text Processing Essentials	8
3.	Data Visualization & Insights with Excel Dashboards	10
4.	Presentation Graphics Essentials	8
5.	Algorithms and Python Programming Concepts	10
6.	Artificial Intelligence: Concepts, Mechanism, and Ethics	6
7.	Prompt Engineering and AI Agents	4
Total		48

D. Students Assessment Activities

No	Assessment Activities *	Assessment timing (in week no)	Percentage of Total Assessment Score
	Mid Term Exam	8	30%
	Final Exam	16	50%
	Continues Assessment	From 4 To 12	10%
4.	Self-learning (project)	12	10%

*Assessment Activities (i.e., Written test, oral test, oral presentation, group project, essay, etc.).

E. Learning Resources and Facilities

1. References and Learning Resources

Essential References	Book Development Committee, Self-Development Skills Department, Common First Year, King Saud University. (1448). Computer Skills and Artificial Intelligence. King Saud University.
Supportive References	List of references is available in the book, page 322
Electronic Materials	PowerPoint Presentations Teaching Aid Files for practical topics Videos LMS (Blackboard)
Other Learning Materials	None

2. Required Facilities and equipment

Items	Resources
facilities (Classrooms, laboratories, exhibition rooms, simulation rooms, etc.)	Computer Labs
Technology equipment (projector, smart board, software)	Computers, Data Show, Smart Board, Software
Other equipment (depending on the nature of the specialty)	Internet

Items

Resources

facilities

(Classrooms, laboratories, exhibition rooms, simulation rooms, etc.)

Computer Labs

Technology equipment

(projector, smart board, software)

Computers, Data Show, Smart Board, Software

Other equipment

(depending on the nature of the specialty)

Internet

F. Assessment of Course Quality

Assessment Areas/Issues	Assessor	Assessment Methods
Effectiveness of teaching	Students - Department Curriculum and Course Evaluation Committee	Indirect evaluation: Questionnaireto find out the opinions of stakeholders about the course and the effectiveness of the teaching method. Direct: Periodic review of the course by the Curriculum Committee in light of the test results .
Effectiveness of student assessment methods	Faculty members - Examinations Committee.	•Directly (exams/semester work) • Indirect (questionnaires)
Quality of learning resources	Students - Experts	• Direct (semester work) • Indirect (questionnaires)
The extent to which CLOs have been achieved	Course teachers - Quality Committee - Program Leadership	•Directly (exams/semester work)
Other

Assessors (Students, Faculty, Program Leaders, Peer Reviewers, Others (specify)

Assessment Methods (Direct, Indirect)

G. Specification Approval

Council /COMMittee	Self-Development Skills DEPARTMENT
Reference No.	2
Date	15/9/2026

attachments

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