Course: Programmation & Artificial intelligence

Section outline

Select section General Description of the course

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General Description of the course

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  course description
  
  Unit: Transversal Teaching Unit (UET 1-2)
  Credits: 🎓 1
  Coefficient: 🔢 1
  
  ⏰ Workload
  
  Type
  
  Weekly Duration
  
  📖 Practical / Lab Sessions (TP)
  
  1h 30min
  
  No classical lecture hours (skills-based module)
  
  📅 Total Semester Load (14 weeks)
  
  🧑‍💻 Practical Sessions: 22h 30min
  🏠 Complementary Work: 45h
  
  📝 Assessment
  
  Component
  
  Weight
  
  📊 Continuous Assessment
  
  100%
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  Course Abstract
  
  This course provides an introductory yet comprehensive foundation in programming and artificial intelligence for students in the humanities and social sciences. It focuses on building computational thinking skills, understanding core programming logic, and exploring AI applications relevant to communication, media, and research. Students will learn basic Python programming, data handling, text processing, and the use of AI tools for content generation, analysis, and automation. The course emphasizes ethical and responsible AI use, critical digital literacy, and practical hands-on activities designed to prepare learners for academic, entrepreneurial, and professional digital environments. By the end of the course, students will be able to write simple programs, apply AI methods to real-world tasks, evaluate AI-generated content, and integrate computational skills into interdisciplinary projects and innovation initiatives.
  
  Keywords
  
  Programming; Python; Artificial Intelligence; Machine Learning Basics; Computational Thinking; Digital Literacy; Data Processing; Text Analysis; Automation; AI Ethics; Media & Communication Technology; Interdisciplinary Innovation; Educational Technology.
- Select activity Annonces
  
  Annonces Forum

Meet your teacher

Virtual Office Hours (BigBlueButton)

Students can meet with the instructor online every week to ask questions, clarify concepts, or discuss any difficulties related to the course.

⏰ Time: Every Monday from 11:00 to 12:15
📌 Access: No installation required — join directly through your browser.
ℹ️ Session Type: Open drop-in session. Students may join with questions or simply listen and learn with classmates.

Support through Moodle

In addition to live sessions, students can communicate at any time through:

📢 Course Forum: For general or technical questions, idea sharing, and peer collaboration.
💬 Private Chat: For individual communication with the instructor directly via Moodle.

Item	Details
University	Mohamed Lamine Debaghine University – Sétif 2
🏫 Faculty	Faculty of Humanities and Social Sciences
📚 Department	Department of Media and Communication Sciences
🏢 Specialization	Advertising and Public Relations
👩‍🏫 Instructor	Dr. Bekkar Amina
📌 Academic Rank	Lecturer, Class A (Maître Assistante Classe A)
✉️ Email	bekkaramina4@gmail.com
🕒 Availability Hours	• Sunday – (according to the schedule) • Wednesday – (according to the schedule)
📍 Location	Department of Media and Communication Sciences, Faculty of Humanities and Social Sciences – Sétif 2 University

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your feedback is important!
Select activity Instructor Communication Forum

Instructor Communication Forum

Select section General Objective of the Course

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General Objective of the Course
To enable students to apply fundamental concepts of computing, introductory Python programming, and basic artificial intelligence techniques to tasks in text analysis, image processing, and digital research within the humanities and social sciences.
Select section Prerequisite Knowledge

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Prerequisite Knowledge
This unit aims to assess students’ prior knowledge related to communication concepts and organizational culture, and to ensure their readiness to follow the course. The results of the diagnostic (pre-test) do not affect the final grade; rather, they are used to determine each student’s level and provide appropriate support.
- Select activity Let’s Talk !
  
  Let’s Talk ! Forum
- Select activity Prerequisite Knowledge Pre-Test – Programming & AI
  
  Prerequisite Knowledge Pre-Test – Programming & AI Interactive Content
Select section Chapter 1: Introduction to Computing

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Chapter 1: Introduction to Computing
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  Support Resources
  
  Select activity The History of Computing
  
  The History of Computing URL
  
  Select activity TYPES ET COMPOSANTS D’UN ORDINATEURS - انواع ومكونات الحاسوب
  
  TYPES ET COMPOSANTS D’UN ORDINATEURS - انواع ومكونات الحاسوب File
Select section Chapter 2: Hardware and Software Essentials

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Chapter 2: Hardware and Software Essentials
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  Support Resources
  
  Select activity Le binaire c'est quoi? [Bases Informatique]
  
  Le binaire c'est quoi? [Bases Informatique] URL
  
  Select activity Comprendre un Ordinateur - Les bases du Hardware et du Software
  
  Comprendre un Ordinateur - Les bases du Hardware et du Software URL
  
  Select activity Comment fonctionne un ordinateur? [Bases de l'informatique]
  
  Comment fonctionne un ordinateur? [Bases de l'informatique] URL
  
  Select activity Les composants de l'ordinateur - Technologie
  
  Les composants de l'ordinateur - Technologie URL
  
  Select activity انواع ومكونات الحاسوب
  
  انواع ومكونات الحاسوب File
Select section Chapter 3: Operating Systems & File Management

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Chapter 3: Operating Systems & File Management
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  Support Resources
  
  Select activity الفرق بين FAT32 و NTFS
  
  الفرق بين FAT32 و NTFS URL
Select section Chapter 4: Office Tools & Documentation Systems

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Chapter 4: Office Tools & Documentation Systems
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  Support Resources
  
  Select activity المستودع الرقمي dspace
  
  المستودع الرقمي dspace URL
Select section Chapter 5: Introduction to Programming (Python)

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Chapter 5: Introduction to Programming (Python)
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  Support Resources
  
  Select activity Learn Coding with Python in 1 Hour
  
  Learn Coding with Python in 1 Hour URL
Select section Chapter 6: Variables, Data Types & Control Structures

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Chapter 6: Variables, Data Types & Control Structures
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  Support Resources
  
  Select activity Python variables for beginners
  
  Python variables for beginners URL
  
  Select activity Data Types in Python | Python for Beginners
  
  Data Types in Python | Python for Beginners URL
Select section Chapter 7: Databases for humanities

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Chapter 7: Databases for humanities

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Select section Chapter 8: Introduction to Artificial Intelligence

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Chapter 8: Introduction to Artificial Intelligence

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Select section Chapter 09: AI for Text Analysis

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Chapter 09: AI for Text Analysis

Not available
Select section Chapter 10: AI for Images & Manuscripts

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Chapter 10: AI for Images & Manuscripts

Not available
Select section Final Exam

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Final Exam

Not available
Select section Bibliography

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Bibliography

Not available
Select section Course Evaluation

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Course Evaluation

Not available

Type	Weekly Duration
📖 Practical / Lab Sessions (TP)	1h 30min
No classical lecture hours (skills-based module)

Component	Weight
📊 Continuous Assessment	100%