course-details-portlet

PROG2051 - Artificial Intelligence

About

New from the academic year 2020/2021

Examination arrangement

Examination arrangement: Assignment and Work
Grade: Letters
Term:  Spring

Evaluation Weighting Duration Grade deviation Examination aids
Prosjekt 60/100
Mappe (arbeider) 40/100

Examination arrangement

Examination arrangement: Assignment and Work
Grade: Letters
Term:  Spring

Evaluation Weighting Duration Grade deviation Examination aids
Prosjekt og arbeider (mappe)

Course content

The subject starts with a description of problem solving methods by means of heuristic search. Therafter, various knowledge representation languages and inference methods for automatic problem solving. Representation in form of predicate logic, frames and semantic nets are treated, and connected to the main forms of reasoning - especially rule based reasoning. Furthermore, architectures that integrates various resoning methods, agent based architectures and architectures for interactive problem solving. Numerous applicaton examples are given to demonstrate the methods.

Learning outcome

On successful completion of the module, students will be able to:

* Understand and evaluate various core techniques and algorithms of AI, including machine learning, tree and graph search algorithms, Markov decision process, Constraint satisfaction problems, and Bayesian networks. Understand the meaning of concepts such as intelligence, agents, reasoning, and making inferences.

* Identify different uses and applications of AI techniques and algorithms, from neuroscience, understanding brain to game development, to web technologies and secure system designs.

* Implement several of the algorithms on the coding games and different AI problems. The students will also enhance their programming skills in a preferred language of their own by learning to program AI algorithms and/or agents.

* Improve programming skills through the programming of AI algorithms and/or intelligent agents. Programming exercises and assignments help enhancing the understanding the theory learnt in class.

* Evaluate the run-time and memory complexity of several AI algorithms, and practice with creating better algorithms.

Learning methods and activities

Lectures, exercises, self-study and obligatory assignments.

This course will focus on the practical implementation of AI concepts. Lectures will introduce a topic area, and students are expected to implement and report on the key concept.

Further on evaluation

The assignment (60%) is carried out as a project. Students can form groups of up to 2 students. 4 compulsory assignments (40%). Each of the 4 assignments in the portfolio assessment must be completed individually. Both assignment and portfolio assessment must be passed to receive a grade in the course.

Re-sit examination may be changed to oral exam. The portfolio assessment must be taken the next time the course is running.

Specific conditions

Admission to a programme of study is required:
Computer Science (BIDATA)
Programming (BPROG)

Required previous knowledge

IMT2021 Algoritmiske metoder

REA1101 Matematikk for informatikkfag eller REA2091

Course materials

To be announced.

May include:
- History and overview of AI
- Machine learning
- Search
- Markov decision process
- Game playing
- Constraint satisfaction problems
- Bayesian networks
- Other AI topics

More on the course

No

Facts

Version: 1
Credits:  7.5 SP
Study level: Third-year courses, level III

Coursework

Term no.: 1
Teaching semester:  SPRING 2021

Language of instruction: English

Location: Gjøvik

Subject area(s)
  • Informatics
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Computer Science

Examination

Examination arrangement: Assignment and Work

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD Prosjekt 60/100

Release
2021-05-24

Submission
2021-06-07


08:00


23:59

INSPERA
Room Building Number of candidates
Spring ORD Mappe (arbeider) 40/100

Submission
2021-05-24

Room Building Number of candidates

Examination arrangement: Assignment and Work

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD Prosjekt og arbeider (mappe) (1)
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
  • 1) Merk at eksamensform er endret som et smittevernstiltak i den pågående koronasituasjonen. Please note that the exam form has changed as a preventive measure in the ongoing corona situation.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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