Basic information
- Field of study
- Computer Science
- Major
- -
- Organisational unit
- Faculty of Computer Science
- Study level
- First-cycle (engineer) programme
- Form of study
- Full-time studies
- Profile
- General academic
- Didactic cycle
- 2022/2023
- Course code
- WIINFS.Ii10.00647.22
- Lecture languages
- Polish
- Mandatoriness
- Obligatory
- Block
- General Modules
- Course related to scientific research
- Yes
|
Period
Semester 5
|
Method of verification of the learning outcomes
Completing the classes
Activities and hours
Lectures:
30
Laboratory classes: 14 |
Number of ECTS credits
3
|
Course's learning outcomes
| Code | Outcomes in terms of | Learning outcomes prescribed to a field of study | Methods of verification |
| Knowledge – Student knows and understands: | |||
| W1 | A student knows and understands the basic concepts of artificial intelligence (AI) and knowledge engineering. | INF1A_W07 | Test |
| W2 | A student kows and understands the basic AI issues included in the program. | INF1A_W07 | Test |
| W3 | A student understands the basic AI tools based on the methods included in the program. | INF1A_W07 | Test |
| Skills – Student can: | |||
| U1 | A student is able to use modern tools based on AI methods included in the program. | INF1A_U08 | Test results |
| U2 | A student is able to solve simple modeling tasks using the AI tools included in the program. | INF1A_U08 | Execution of laboratory classes |
| Social competences – Student is ready to: | |||
| K1 | A student is able to work in a team. | INF1A_U08 | Execution of laboratory classes |
Student workload
| Activity form | Average amount of hours* needed to complete each activity form | |
| Lectures | 30 | |
| Laboratory classes | 14 | |
| Preparation for classes | 10 | |
| Realization of independently performed tasks | 15 | |
| Contact hours | 5 | |
| Preparation of project, presentation, essay, report | 16 | |
| Student workload |
Hours
90
|
|
| Workload involving teacher |
Hours
44
|
|
* hour means 45 minutes
Program content
| No. | Program content | Course's learning outcomes | Activities |
| 1. |
Basic concepts: Characteristics of the problem area and basic concepts of Artificial Intelligence (AI). The concept of an agent and his environment. Classification of AI methods. Models of knowledge representation. |
W1, W2, W3, U1, U2, K1 | Lectures |
| 2. |
Programming in Prolog: Programming in Prolog. |
W1, W2, W3, U1, U2, K1 | Laboratory classes |
Extended information/Additional elements
Teaching methods and techniques :
| Activities | Methods of verification | Credit conditions |
|---|---|---|
| Lectures | Execution of laboratory classes, Test, Test results | |
| Lab. classes | Test |
Method of determining the final grade
1. The student is required to complete all partial laboratory exercises. 2. The evaluation of laboratory exercises is the arithmetic mean of grades for individual exercises. 3. The final grade is equal to the grade from laboratory exercises. After justifying their absence, students are required to do exercises on other dates.
Prerequisites and additional requirements
Knowledge: logic (in the corresponding range), basics of algorithms.
Rules of participation in given classes, indicating whether student presence at the lecture is obligatory
Lectures: Studenci uczestniczą w zajęciach poznając kolejne treści nauczania zgodnie z syllabusem przedmiotu. Studenci winni na bieżąco zadawać pytania i wyjaśniać wątpliwości. Rejestracja audiowizualna wykładu wymaga zgody prowadzącego. Laboratory classes: Studenci wykonują ćwiczenia laboratoryjne zgodnie z materiałami udostępnionymi przez prowadzącego. Student jest zobowiązany do przygotowania się w przedmiocie wykonywanego ćwiczenia, co może zostać zweryfikowane kolokwium w formie ustnej lub pisemnej. Zaliczenie zajęć odbywa się na podstawie zaprezentowania rozwiązania postawionego problemu. Zaliczenie modułu jest możliwe po zaliczeniu wszystkich zajęć laboratoryjnych.
Literature
Obligatory- S. J. Russell and P. Norvig: Artificial Intelligence: A Modern Approach. Third Edition, Pearson, 2010
- W. Ertel: Introduction to Artificial Intelligence (Undergraduate Topics in Computer Science), Springer 2009
- L. Rutkowski: Metody i techniki sztucznej inteligencji, Wydawnictwo Naukowe PWN, Warszawa 2009
- T. Munakata. Fundamentals of the New Artificial Intelligence. Springer, 2008.
- N. J. Nilsson: Artificial Intelligence: A New Synthesis, Morgan Kaufmann Publishers, 1998
Scientific research and publications
Publications- Systemy agentowe w ujęciu pragmatycznym — [Multi-agent systems from pragmatic point of view] / Grzegorz DOBROWOLSKI. — Kraków : Wydawnictwa AGH, 2016. — 254, 1 s.. — (Wydawnictwa Naukowe / Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie).
- Agent-based identification for computer-supported criminal analysis / Grzegorz DOBROWOLSKI, Jacek DAJDA, Marek KISIEL-DOROHINICKI, Edward NAWARECKI // W: MCSS 2010 : Multimedia Communications, Services and Security : IEEE International Conference : Kraków, 6–7 May 2010 : proceedings / eds. Jacek Dańda, Jan Derkacz, Andrzej Głowacz. — [Polska : s. n.], 2010.
- Budowa ontologicznej reprezentacji wiedzy na przykładzie wad odlewów — Building ontological representation of knowledge about casting defects / Stanisława KLUSKA-NAWARECKA, Edward NAWARECKI, Andrzej Hładki, Grzegorz DOBROWOLSKI // W: KomPlasTech 2008 : informatyka w technologii metali : materiały XV konferencji : Korbielów, 6–9 stycznia 2008 / eds. F. Grosman, M. Hyrcza-Michalska. — Kraków : Wydawnictwo Naukowe Akapit, 2008.
- Grounding of human observations as uncertain knowledge / Kamil SZYMAŃSKI, Grzegorz DOBROWOLSKI // W: Computational Science – ICCS 2008 : 8th International Conference : Kraków, Poland, June 23–25, 2008 : proceedings, Pt. 3 / eds. Marian Bubak, Geert Dick van Albada, Jack Dongarra, Peter M. A. Sloot. — Berlin ; Heidelberg : Springer-Verlag, cop. 2008.
- Informacja – wiedza – inteligencja w systemach bezpieczeństwa publicznego — Information – knowledge – intelligence in public security systems / Edward NAWARECKI, Grzegorz DOBROWOLSKI // W: Praktyczne elementy zwalczania przestępczości zorganizowanej i terroryzmu : nowoczesne technologie i praca operacyjna / red. Lech Paprzycki, Zbigniew Rau. — Warszawa : Oficyna a Wolters Kluwer Polska Sp. z o. o., cop. 2009.