Elements of AI, 2 credits (ETE318)

Grunderna i AI, 2 hp

Course description

Course content

The course aims to give an introduction and overview of artificial intelligence. The focus is on understanding the concept and some important techniques such as search and machine learning as well as consequences of AI on society.

Start the course whenever you want

You can start the course almost anytime you want as the course is an online course with flexible admission. You make the application for the semester you intend to start reading the course. If you want to start directly, you apply for the current semester, or you choose the semester you intend to start. Choose the semester you are interested in above, and you will find the right application opportunity.

Course outline

Elements of AI is an online course that you can do at any time and in any pace at https://www.elementsofai.se/. The course is a self study course of the online material and is examined through self correcting and peer reviewed exercises. When you have completed Elements of AI (either the Swedish or the English version of the course) you can register to this course to get your results validated. When you have been accepted to this course, we will contact you with information about how to validate the results. To verify that you have really taken the online course, you may have to answer questions similar to the ones in the online course.

The course is given and examined over the Internet.

Information on general entry requirements 

Please note that you must be able to prove that you fulfill the general entry requirements when applying for the course. If your final school grades are not already on your pages at antagning.se, then you need to upload your upper secondary qualification, or equivalent, at antagning.se in connection with your application.

Main field of study

Computer Science

Level

First cycle

Course type

Single subject course

Examiner

Fredrik Heintz

Director of studies or equivalent

Peter Dalenius

Contact

Course offered for Semester Period Timetable module Language Campus VOF
Single subject course (One-tenth-time, Mixed-time) Spring 2020 1, 2 -, - Swedish Distance
Single subject course (One-tenth-time, Mixed-time) Spring 2020 1, 2 -, - English Distance
Single subject course (One-tenth-time, Mixed-time) Autumn 2020 1, 2 -, - Swedish Distance
Single subject course (One-tenth-time, Mixed-time) Autumn 2020 1, 2 -, - English Distance
Single subject course (One-tenth-time, Mixed-time) ST 2020 1 - Swedish Distance
Single subject course (One-tenth-time, Mixed-time) ST 2020 1 - English Distance

Main field of study

Computer Science

Course level

First cycle

Advancement level

G1X

Entry requirements

General entry requirements for undergraduate studies

Prerequisites

None

Intended learning outcomes

  • Distinguish between realistic and unrealistic AI (science fiction vs.
  • real life)
  • Express some basic philosophical problems related to AI
  • Formulate a simple real-world problem as a search problem
  • Apply the Bayes rule to infer risks in simple scenarios
  • Explain the base-rate fallacy and how to avoid it by applying Bayesian reasoning
  • Explain why machine learning techniques are used
  • Distinguish between unsupervised and supervised machine learning scenarios
  • Explain the principles of some supervised classification methods
  • Explain what a neural network is and where they are being successfully used
  • Understand the technical methods that underpin neural networks
  • Understand the difficulty in predicting the future and be able to better evaluate the claims made about AI
  • Identify some of the major societal implications of AI

Course content

The material is divided in six chapters which are:

1. What is AI?

  • Definitions of AI
  • Autonomy and adaptivity
  • Philosophical problems related to AI including the Turing test and the Chinese room thought experiment

2. AI problem solving

  • Formulate a simple game (such as tic-tac-toe) as a game tree
  • Use the minimax principle to find optimal moves in a limited-size game tree

3. Real world AI

  • Expressing probabilities in terms of natural frequencies
  • Bayes rule to infer risks in simple scenarios
  • The base-rate fallacy and how to avoid it by applying Bayesian reasoning

4. Machine learning

  • Why use machine learning
  • Unsupervised and supervised machine learning scenarios
  • Supervised classification methods: the nearest neighbor method, linear regression, and logistic regression

5. Neural networks

  • What is a neural network is and where are they being successfully used
  • The technical methods that underpin neural networks

6. Implications

  • Major societal implications of AI including algorithmic bias, AI-generated content, privacy, and work
  • The difficulty of predicting the future and how to evaluate claims made about AI

Teaching and working methods

An open online course Elements of AI (https://course.elementsofai.se), consisting of text and interactive elements

Examination

UPG1AssignmentsU, G2 credits

Assessment is based on exercises, including multiple choice quizzes, numerical exercises, and questions that require a written answer. The multiple choice and numerical exercises are automatically checked, and the exercises with written answers are reviewed by other students (peer

grading) and in some cases by the instructors.Successful completion of the course requires at least 90% completed exercises and minimum 50% correctness. The course is graded as pass/fail (no numerical grades).

Grades

Two grade scale, older version, U, G

Other information

About teaching and examination language

The teaching language is presented in the Overview tab for each course. The examination language relates to the teaching language as follows: 

  • If teaching language is Swedish, the course as a whole or in large parts, is taught in Swedish. Please note that although teaching language is Swedish, parts of the course could be given in English. Examination language is Swedish. 
  • If teaching language is Swedish/English, the course as a whole will be taught in English if students without prior knowledge of the Swedish language participate. Examination language is Swedish or English (depending on teaching language). 
  • If teaching language is English, the course as a whole is taught in English. Examination language is English. 

Other

The course is conducted in a manner where both men's and women's experience and knowledge are made visible and developed. 

The planning and implementation of a course should correspond to the course syllabus. The course evaluation should therefore be conducted with the course syllabus as a starting point.  

Department

Institutionen för datavetenskap

Director of Studies or equivalent

Peter Dalenius

Examiner

Fredrik Heintz

Course website and other links

Education components

Preliminär schemalagd tid: 0 h
Rekommenderad självstudietid: 53 h
There is no course literature available for this course.
UPG1 Assignments U, G 2 credits

Assessment is based on exercises, including multiple choice quizzes, numerical exercises, and questions that require a written answer. The multiple choice and numerical exercises are automatically checked, and the exercises with written answers are reviewed by other students (peer

grading) and in some cases by the instructors.Successful completion of the course requires at least 90% completed exercises and minimum 50% correctness. The course is graded as pass/fail (no numerical grades).

Course syllabus

A syllabus must be established for each course. The syllabus specifies the aim and contents of the course, and the prior knowledge that a student must have in order to be able to benefit from the course.

Timetabling

Courses are timetabled after a decision has been made for this course concerning its assignment to a timetable module. 

Interrupting a course

The vice-chancellor’s decision concerning regulations for registration, deregistration and reporting results (Dnr LiU-2015-01241) states that interruptions in study are to be recorded in Ladok. Thus, all students who do not participate in a course for which they have registered must record the interruption, such that the registration on the course can be removed. Deregistration from a course is carried out using a web-based form: https://www.lith.liu.se/for-studenter/kurskomplettering?l=en. 

Cancelled courses

Courses with few participants (fewer than 10) may be cancelled or organised in a manner that differs from that stated in the course syllabus. The Dean is to deliberate and decide whether a course is to be cancelled or changed from the course syllabus. 

Guidelines relating to examinations and examiners 

For details, see Guidelines for education and examination for first-cycle and second-cycle education at Linköping University, http://styrdokument.liu.se/Regelsamling/VisaBeslut/917592.

An examiner must be employed as a teacher at LiU according to the LiU Regulations for Appointments (https://styrdokument.liu.se/Regelsamling/VisaBeslut/622784). For courses in second-cycle, the following teachers can be appointed as examiner: Professor (including Adjunct and Visiting Professor), Associate Professor (including Adjunct), Senior Lecturer (including Adjunct and Visiting Senior Lecturer), Research Fellow, or Postdoc. For courses in first-cycle, Assistant Lecturer (including Adjunct and Visiting Assistant Lecturer) can also be appointed as examiner in addition to those listed for second-cycle courses. In exceptional cases, a Part-time Lecturer can also be appointed as an examiner at both first- and second cycle, see Delegation of authority for the Board of Faculty of Science and Engineering.

Forms of examination

Examination

Written and oral examinations are held at least three times a year: once immediately after the end of the course, once in August, and once (usually) in one of the re-examination periods. Examinations held at other times are to follow a decision of the board of studies.

Principles for examination scheduling for courses that follow the study periods:

  • courses given in VT1 are examined for the first time in March, with re-examination in June and August
  • courses given in VT2 are examined for the first time in May, with re-examination in August and October
  • courses given in HT1 are examined for the first time in October, with re-examination in January and August
  • courses given in HT2 are examined for the first time in January, with re-examination in March and in August.

The examination schedule is based on the structure of timetable modules, but there may be deviations from this, mainly in the case of courses that are studied and examined for several programmes and in lower grades (i.e. 1 and 2). 

Examinations for courses that the board of studies has decided are to be held in alternate years are held three times during the school year in which the course is given according to the principles stated above.

Examinations for courses that are cancelled or rescheduled such that they are not given in one or several years are held three times during the year that immediately follows the course, with examination scheduling that corresponds to the scheduling that was in force before the course was cancelled or rescheduled.

When a course is given for the last time, the regular examination and two re-examinations will be offered. Thereafter, examinations are phased out by offering three examinations during the following academic year at the same times as the examinations in any substitute course. If there is no substitute course, three examinations will be offered during re-examination periods during the following academic year. Other examination times are decided by the board of studies. In all cases above, the examination is also offered one more time during the academic year after the following, unless the board of studies decides otherwise.

If a course is given during several periods of the year (for programmes, or on different occasions for different programmes) the board or boards of studies determine together the scheduling and frequency of re-examination occasions.

Registration for examination

In order to take an examination, a student must register in advance at the Student Portal during the registration period, which opens 30 days before the date of the examination and closes 10 days before it. Candidates are informed of the location of the examination by email, four days in advance. Students who have not registered for an examination run the risk of being refused admittance to the examination, if space is not available.

Symbols used in the examination registration system:

  ** denotes that the examination is being given for the penultimate time.

  * denotes that the examination is being given for the last time.

Code of conduct for students during examinations

Details are given in a decision in the university’s rule book: http://styrdokument.liu.se/Regelsamling/VisaBeslut/622682.

Retakes for higher grade

Students at the Institute of Technology at LiU have the right to retake written examinations and computer-based examinations in an attempt to achieve a higher grade. This is valid for all examination components with code “TEN” and "DAT". The same right may not be exercised for other examination components, unless otherwise specified in the course syllabus.

A retake is not possible on courses that are included in an issued degree diploma. 

Retakes of other forms of examination

Regulations concerning retakes of other forms of examination than written examinations and computer-based examinations are given in the LiU guidelines for examinations and examiners, http://styrdokument.liu.se/Regelsamling/VisaBeslut/917592.

Plagiarism

For examinations that involve the writing of reports, in cases in which it can be assumed that the student has had access to other sources (such as during project work, writing essays, etc.), the material submitted must be prepared in accordance with principles for acceptable practice when referring to sources (references or quotations for which the source is specified) when the text, images, ideas, data, etc. of other people are used. It is also to be made clear whether the author has reused his or her own text, images, ideas, data, etc. from previous examinations, such as degree projects, project reports, etc. (this is sometimes known as “self-plagiarism”).

A failure to specify such sources may be regarded as attempted deception during examination.

Attempts to cheat

In the event of a suspected attempt by a student to cheat during an examination, or when study performance is to be assessed as specified in Chapter 10 of the Higher Education Ordinance, the examiner is to report this to the disciplinary board of the university. Possible consequences for the student are suspension from study and a formal warning. More information is available at https://www.student.liu.se/studenttjanster/lagar-regler-rattigheter?l=en.

Grades

The grades that are preferably to be used are Fail (U), Pass (3), Pass not without distinction (4) and Pass with distinction (5). 

  1. Grades U, 3, 4, 5 are to be awarded for courses that have written examinations.
  2. Grades Fail (U) and Pass (G) may be awarded for courses with a large degree of practical components such as laboratory work, project work and group work.
  3. Grades Fail (U) and Pass (G) are to be used for degree projects and other independent work.

Examination components

  1. Grades U, 3, 4, 5 are to be awarded for written examinations (TEN).
  2. Examination components for which the grades Fail (U) and Pass (G) may be awarded are laboratory work (LAB), project work (PRA), preparatory written examination (KTR), oral examination (MUN), computer-based examination (DAT), home assignment (HEM), and assignment (UPG).
  3. Students receive grades either Fail (U) or Pass (G) for other examination components in which the examination criteria are satisfied principally through active attendance such as other examination (ANN), tutorial group (BAS) or examination item (MOM).
  4. Grades Fail (U) and Pass (G) are to be used for the examination components Opposition (OPPO) and Attendance at thesis presentation (AUSK) (i.e. part of the degree project).

For mandatory components, the following applies: If special circumstances prevail, and if it is possible with consideration of the nature of the compulsory component, the examiner may decide to replace the compulsory component with another equivalent component. (In accordance with the LiU Guidelines for education and examination for first-cycle and second-cycle education at Linköping University, http://styrdokument.liu.se/Regelsamling/VisaBeslut/917592). 

For written examinations, the following applies: If the LiU coordinator for students with disabilities has granted a student the right to an adapted examination for a written examination in an examination hall, the student has the right to it. If the coordinator has instead recommended for the student an adapted examination or alternative form of examination, the examiner may grant this if the examiner assesses that it is possible, based on consideration of the course objectives. (In accordance with the LiU Guidelines for education and examination for first-cycle and second-cycle education at Linköping University, http://styrdokument.liu.se/Regelsamling/VisaBeslut/917592).

The examination results for a student are reported at the relevant department.

Regulations (apply to LiU in its entirety)

The university is a government agency whose operations are regulated by legislation and ordinances, which include the Higher Education Act and the Higher Education Ordinance. In addition to legislation and ordinances, operations are subject to several policy documents. The Linköping University rule book collects currently valid decisions of a regulatory nature taken by the university board, the vice-chancellor and faculty/department boards.

LiU’s rule book for education at first-cycle and second-cycle levels is available at http://styrdokument.liu.se/Regelsamling/Innehall/Utbildning_pa_grund-_och_avancerad_niva. 

This tab contains public material from the course room in Lisam. The information published here is not legally binding, such material can be found under the other tabs on this page. There are no files available for this course.

Page responsible: Study information, bilda@uf.liu.se