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Computer Skills and Artificial Intelligence (CT102)

Course Title:   :  Computer Skills and Artificial Intelligence

Course Code:    CT102

Program: Common First Year

Department:   Self-Development Skills Department

College:   Common First Year Deanship

Institution:   King Saud University

Version:  1448 H

Last Revision Date:    30-08-2026

1. Course Identification

1. Credit hours: (3)

3 Hours

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 basics of Information Technology and Windows 11 Operating System, Word Processing (Microsoft Word 2021), Presentations (Microsoft PowerPoint 2021), Spreadsheets (Microsoft Excel 2021), Introduction to Artificial Intelligence, Machine Interaction (Commands, Agents, Ethics).

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 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

30

50%

3

Hybrid

  • Traditional classroom
  • E-learning

 

-

-

 

-

-

4

Distance learning

30

50%

3. Contact Hours (based on the academic semester)

No

Activity

Contact Hours

  1.  

Lectures(Synchronous + Asynchronous)

24

  1.  

Laboratory/Studio

24

  1.  

Field

-

  1.  

Tutorial   

-

  1.  

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 the fundamental concepts of information technology, the Windows  operating system, and Microsoft Word 

  • 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.
  • Computer-managed learning.
  • Discussion and dialogue.
  • Brainstorming and asking questions

Midterm Exam:

  • Multiple choice questions
  • True or false questions

1.2

Demonstrates knowledge in various topics, such as Microsoft PowerPoint, Excel, and the basics of artificial intelligence

  • Computer-managed learning.
  • Discussion and dialogue.
  • Brainstorming and asking questions

Final Exam:

  • Multiple choice questions
  • True or false questions

2.0

Skills

2.1

Applies advanced practical skills in Microsoft Word and the Windows operating system.

 

 

 

 

 

 

 

 

 

  • Not Applicable

Practical training

Midterm Exam:

Application of practical skills in  exams.

2.2

Creates interactive and professional presentations using Microsoft PowerPoint tools and creates and analyzes electronic spreadsheets using Microsoft Excel.

Practical training

Final Exam:

Application of practical skills in  exams.

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.

Guiding students on the ethics and appropriate practices for using artificial intelligence tools.

The computerized final examination (for the theoretical component of Chapter six).

 

C. Course Content

No

List of Topics

Contact Hours

  1.  

Introduction To Course

2

  1.  

Introduction to Information Technology and Windows11

8

3.

Word Processing (MS-Word 2021)

8

4.

Presentation Graphics (MS-PowerPoint 2021)

8

5.

Spreadsheets (MS-Excel 2021)

12

6.

Introduction to Artificial Intelligence (AI)

4

7.

Machine Interaction (Commands, Agents, Ethics)

6

Total

48

 

D. Students Assessment Activities

No

Assessment Activities * 

Assessment timing

(in week no)

Percentage of Total Assessment Score

  1.  

Mid Term Exam 

8

30%

  1.  

Final Exam 

16

50%

  1.  

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

لجنة تطوير الكتاب،قسم مهارات تطوير الذات،عمادة السنة الأولى المشتركة، جامعة الملك سعود. (1448).مهارات الحاسب والذكاء الاصطناعي . دار نشر جامعة الملك سعود.

Supportive References

List of references is available in the book, page 270

Electronic Materials

PowerPoint Presentations

Teaching Aid Files for practical topics

Videos

LMS (Blackboard)

E-Activities

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

 

 

F. Assessment of Course Quality

Assessment Areas/Issues 

Assessor

Assessment Methods

Effectiveness of teaching

Students - Department Curriculum and Course Evaluation Committee

  • Indirect evaluation: Questionaire to 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

 

Last updated on : October 6, 2026 3:25pm