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Computer Skills and Artificial Intelligence (CT101)

Course Basic Information

 

Course TitleComputer 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 -  09-09-2025

Last Revision Date:    09-09-2025

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, Guiding AI with Prompt Engineering & Agents, and The AI Revolution: Transforming the World and Everyday Life.

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

  1.  

Lectures

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 basic terms and concepts in computers, such as the basics of computing, Microsoft Word 2021, and Microsoft Excel 2021.

  • 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.
  • Brainstorming and asking questions.

Midterm Exam:

  • Multiple choice questions
  • True or false questions

1.2

Demonstrates knowledge in various topics related to the fundamental concepts of algorithms, Python programming, Microsoft PowerPoint 2021, and artificial intelligence

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

Final Exam:

  • Multiple choice questions
  • True or false questions

2.0

Skills

2.1

Practical: Applies what has been learned in Microsoft Word 2021 and Microsoft Excel 2021.

 

 

 

 

 

 

 

 

 

  • Not Applicable

Practical training

Midterm Exam:

Application of practical skills in tests.

2.2

Practical: Uses advanced techniques in Microsoft PowerPoint 2021 and the Python programming language

Practical training

Final Exam:

Application of practical skills in tests.

2.3

Technical Communication: Uses application software to complete the self-learning project.

 

Project-based learning

Evaluation form

2.4

Technical Communication: The practical continuous assessment  (PCA)  system is used to solve practical exercises.

Practical training

PCA practical simulation system

3.0

Values, autonomy, and responsibility

3.1

Takes responsibility for self-learning and personal development in performing academic and practical tasks and activities.

  • Not Applicable

  • Discussion and dialogue
  • Learning using the Internet

-

3.2

Students are committed to academic ethics.

Student commitment to the computer lab ethics and behavior.

-

C. Course Content

No

List of Topics

Contact Hours

  1.  

Introduction To Course

2

  1.  

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.

Guiding Ai With Prompt Engineering & Agents

6

7.

The Ai Revolution: Transforming the World and Everyday Life

4

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

Book Development Committee, Self-Development Skills Department, Common First Year, King Saud University. (2026). Computer Skills and Artificial Intelligence. King Saud University.

Supportive References

List of references is available in the book, page 316

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

F. Assessment of Course Quality

Assessment Areas/Issues 

Assessor

Assessment Methods

Effectiveness of teaching

Students - Department Curriculum and Course Evaluation Committee

  • Indirect evaluationQuestionnaireto 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.

The Third

Date

9/9/2025

Queries and Complaints 

  • Male students can visit office number G244 for their queries and complaints, or send their queries and complaints to email: its@cfy.ksu.edu.sa
  • Female students can send their queries and complaints to email: its-f@cfy.ksu.edu.sa
Last updated on : September 29, 2025 4:55pm