Veidlapa Nr. M-3 (8)
Study Course Description

Fundamentals of Artificial Intelligence and Application in Practice

Main Study Course Information

Course Code
SZF_036
Branch of Science
Computer and information sciences
ECTS
3.00
Target Audience
Biology; Business Management; Civil and Military Defense; Clinical Pharmacy; Communication Science; Dentistry; Health Management; Information and Communication Science; Juridical Science; Law; Life Science; Management Science; Marketing and Advertising; Medical Services; Medical Technologies; Medicine; Midwifery; Nursing Science; Pedagogy; Person and Property Defence; Pharmacy; Political Science; Psychology; Public Health; Rehabilitation; Social Anthropology; Social Welfare and Social Work; Sociology; Sports Trainer
LQF
All Levels
Study Type And Form
Full-Time; Part-Time

Study Course Implementer

Course Supervisor
Structure Unit Manager
Structural Unit
Faculty of Social Sciences
Contacts

Dzirciema street 16, Rīga, szf@rsu.lv

About Study Course

Objective

The study course is designed to acquire knowledge about artificial intelligence technologies and to promote the practical application of artificial intelligence technologies in learning, medicine and improving personal and professional productivity. During the course, it is planned to learn practical skills and gain an insight into artificial intelligence technologies, with the aim of implementing them in speeding up various processes and improving quality. Students will gain practical knowledge of artificial intelligence tools that generate text and images.

Preliminary Knowledge

Computer skills; basic knowledge of English.

Learning Outcomes

Knowledge

1.1. Students will have good knowledge of artificial intelligence solutions and industry trends. 2. Students will have all the necessary knowledge to discuss the applications of AI and to argue for the use of different solutions. 3. Students will have mastered at least 10 AI tools and will be able to operate freely in various generative artificial intelligence solutions. 4. Students will have mastered at least 10 different prompt engineering techniques and will be able to generate high-quality and meaningful content.

Individual work and tests

Test on understanding and ethics of AI fundamentals Discussion on ethics, applications and current affairs of artificial Intecket

2.Compare different applications of AI and explain their potential benefits and challenges in different contexts.

Individual work and tests

Discussion on ethics, applications and current affairs of artificial Intecket Create a prompt storage Prompt Engineering practical job Independent work on image generation Practical work - process digitalization

3.Apply at least 10 different AI tools, including generative AI solutions, to effectively address practical challenges.

Individual work and tests

Practical work - process digitalization Independent work on image generation Prompt Engineering practical job Create a prompt storage

4.Use and customize at least 10 different query engineering methods to create high quality and targeted content.

Individual work and tests

Prompt Engineering practical job Independent work on image generation Practical work - process digitalization

5.Reasoned assessment of the suitability of different AI solutions in specific situations and discussion of the ethical and practical aspects of their use.

Individual work and tests

Independent work on image generation Prompt Engineering practical job Create a prompt storage Practical work - process digitalization

Skills

1.Generate textual and visual content using different AI tools by customizing queries according to the desired result.

Individual work and tests

Practical work - process digitalization Prompt Engineering practical job Independent work on image generation

2.Develop and optimize queries (promptus) to efficiently create content across formats and topics.

Individual work and tests

Independent work on image generation Practical work - process digitalization Prompt Engineering practical job

3.To analyse and discuss in a reasoned manner the ethical, social and practical applications of AI tools.

Individual work and tests

Test on understanding and ethics of AI fundamentals Practical work - process digitalization

4.Build, digitise and improve individual or professional work processes using AI tools, as well as increase their productivity through automation and efficiency techniques.

Individual work and tests

Practical work - process digitalization Create a prompt storage Prompt Engineering practical job

Competences

1.Ability to create high quality and targeted content using a variety of generative AI tools using appropriate query engineering techniques.

Individual work and tests

Create a prompt storage Practical work - process digitalization Independent work on image generation

2.Competence to critically evaluate the functionality and suitability of different AI tools by analysing their capabilities and limitations in specific contexts.

Individual work and tests

Practical work - process digitalization Test on understanding and ethics of AI fundamentals Discussion on ethics, applications and current affairs of artificial Intecket

3.Understanding and ability to discuss ethical aspects related to the use of AI tools, including assessing potential risks and arguing for responsible use.

Individual work and tests

Discussion on ethics, applications and current affairs of artificial Intecket

4.Competence to digitally transform, customize, and optimize work processes using AI tools to improve personal productivity and professional performance.

Individual work and tests

Create a prompt storage Prompt Engineering practical job Practical work - process digitalization Independent work on image generation

5.Competence to solve problems with query engineering methods, including defining a problem, developing effective queries, adapting them to generation processes, and critically analyzing the results obtained according to the objectives of the task.

Individual work and tests

Prompt Engineering practical job Practical work - process digitalization

Assessment

Individual work

Title
% from total grade
Grade
1.

Create a prompt storage

15.00% from total grade
10 points

Create different prompts that are tailored to perform different tasks, and create a prompt library where prompts are described and available for future use.

Examination

Title
% from total grade
Grade
1.

Test on understanding and ethics of AI fundamentals

10.00% from total grade
10 points

A mandatory test on understanding and ethics of the foundations of artificial intelligence. Tes will be held electronically, in the e-learning portal. The test must be completed within a specified time limit.

2.

Prompt Engineering practical job

15.00% from total grade
10 points

Teamwork involving creating, customizing, and applying queries to achieve a specific result

3.

Independent work on image generation

15.00% from total grade
10 points

Independent work on generating images with specific goals and tasks

4.

Practical work - process digitalization

15.00% from total grade
10 points

The practical work: build a digitised process flow using AI tools

5.

Discussion on ethics, applications and current affairs of artificial Intecket

30.00% from total grade
Test

A in-person discussion, for the whole group together, on the ethics, applications and current affairs of artificial Intlecket. Discussion of ethics and current events and achievements and discussion of opportunities, causes and consequences are updated during the discussion. Attendance at lectures and active involvement in lecture are assessed.

Study Course Theme Plan

FULL-TIME
Part 1
  1. Lecture

Modality
Location
Contact hours
On site
Auditorium
2

Topics

Introduction. Types and Tools of Artificial Intelligence
  1. Lecture

Modality
Location
Contact hours
On site
Auditorium
2

Topics

Introduction. Restrictions, Copyright, Ethics and Threats
  1. Class/Seminar

Modality
Location
Contact hours
On site
Computer room
2

Topics

Practical Seminar on Creating Prompts I – Basic Level; Introduction to ChatGPT
  1. Class/Seminar

Modality
Location
Contact hours
On site
Computer room
2

Topics

Practical Seminar on Creating Prompts II – Prompt Optimisation and Applications in Different Situations
  1. Class/Seminar

Modality
Location
Contact hours
On site
Computer room
2

Topics

Practical Seminar on Prompt Engineering I
  1. Class/Seminar

Modality
Location
Contact hours
On site
Computer room
2

Topics

Practical Seminar on Prompt Engineering II
  1. Class/Seminar

Modality
Location
Contact hours
On site
Computer room
2

Topics

Practical Seminar on Prompt Engineering III
  1. Lecture

Modality
Location
Contact hours
On site
Computer room
2

Topics

Artificial Intelligence Tools for Text Generation I – Their Capabilities, Limitations and Differences
  1. Lecture

Modality
Location
Contact hours
On site
Auditorium
2

Topics

Artificial Intelligence Tools for Text Generation II – Their Capabilities, Limitations and Differences
  1. Class/Seminar

Modality
Location
Contact hours
On site
Computer room
2

Topics

Artificial Intelligence and Image Generation I (Image Generation Platforms)
  1. Class/Seminar

Modality
Location
Contact hours
On site
Computer room
2

Topics

Artificial Intelligence and Image Generation II (Image Generation Servers)
  1. Class/Seminar

Modality
Location
Contact hours
On site
Computer room
2

Topics

Digitising Processes With Artificial Intelligence Tools
  1. Lecture

Modality
Location
Contact hours
On site
Auditorium
2

Topics

Practical Applications of AI and Industry Expertise
  1. Lecture

Modality
Location
Contact hours
On site
Auditorium
2

Topics

AI Applications and Future Perspectives
Total ECTS (Creditpoints):
3.00
Contact hours:
28 Academic Hours
Final Examination:
Exam
PART-TIME
Part 1
  1. Lecture

Modality
Location
Contact hours
On site
Auditorium
2

Topics

Introduction. Types and Tools of Artificial Intelligence
  1. Lecture

Modality
Location
Contact hours
On site
Auditorium
2

Topics

Introduction. Restrictions, Copyright, Ethics and Threats
  1. Class/Seminar

Modality
Location
Contact hours
On site
Computer room
2

Topics

Practical Seminar on Creating Prompts I – Basic Level; Introduction to ChatGPT
  1. Class/Seminar

Modality
Location
Contact hours
On site
Computer room
2

Topics

Practical Seminar on Creating Prompts II – Prompt Optimisation and Applications in Different Situations
  1. Class/Seminar

Modality
Location
Contact hours
On site
Computer room
2

Topics

Practical Seminar on Prompt Engineering I
  1. Class/Seminar

Modality
Location
Contact hours
On site
Computer room
2

Topics

Practical Seminar on Prompt Engineering II
  1. Class/Seminar

Modality
Location
Contact hours
On site
Computer room
2

Topics

Practical Seminar on Prompt Engineering III
  1. Lecture

Modality
Location
Contact hours
On site
Computer room
2

Topics

Artificial Intelligence Tools for Text Generation I – Their Capabilities, Limitations and Differences
  1. Lecture

Modality
Location
Contact hours
On site
Auditorium
2

Topics

Artificial Intelligence Tools for Text Generation II – Their Capabilities, Limitations and Differences
  1. Class/Seminar

Modality
Location
Contact hours
On site
Computer room
2

Topics

Artificial Intelligence and Image Generation I (Image Generation Platforms)
  1. Class/Seminar

Modality
Location
Contact hours
On site
Computer room
2

Topics

Artificial Intelligence and Image Generation II (Image Generation Servers)
  1. Lecture

Modality
Location
Contact hours
On site
Auditorium
2

Topics

Generative Artificial Intelligence in Medicine
  1. Class/Seminar

Modality
Location
Contact hours
On site
Computer room
2

Topics

Digitising Processes With Artificial Intelligence Tools
  1. Lecture

Modality
Location
Contact hours
On site
Auditorium
2

Topics

Practical Applications of AI and Industry Expertise
  1. Lecture

Modality
Location
Contact hours
On site
Auditorium
2

Topics

AI Applications and Future Perspectives
Total ECTS (Creditpoints):
3.00
Contact hours:
30 Academic Hours
Final Examination:
Exam

Bibliography

Required Reading

1.

Prompt Engineering GuideSuitable for English stream

2.

Fatih Kadir Akin. The Art of ChatGPT Prompting: A Guide to Crafting Clear and Effective PromptsSuitable for English stream

3.

Fatih Kadir Akin. The Art of Midjourney AI: A Guide to Creating Images from TextSuitable for English stream

4.

Khan, I. 2024. The quick guide to prompt engineering : generative AI tips and tricks for ChatGPT, Bard, Dall-E, and Midjourney (First edition). Hoboken, New Jersey : Wiley.Suitable for English stream

5.

Barreto, M. (2024). The Midjourney Expedition : generate creative images from text prompts and seamlessly integrate them into your workflow / Margarida Barreto. Birmingham, UK : Packt Publishing.Suitable for English stream

6.

Prompt Engineering. 200+ AI Image Prompts : Prompt Engineering Handbook Dalle-3 Leonardo Stable Diffusion Midjourney AI Art Generation, Prompt Engineering Publishing, 2024.

Additional Reading

1.

Mākslīgais intelekts augstākajā izglītībā. RSU, 2024 (latviešu plūsmai)