Intelligent Multimedia Tutoring Systems 420-IS2-1IMSU-22
Profile: general-academic
Form of studies: stationary / nonstationary
Course type: optional
Field and the discipline of the science: Computer Science, field of exact and natural sciences
Year of studies/semester: 1/2
Preliminary requirements (so-called sequential system of classes and examinations): lack
Prerequisites: Internet programming
Lecture: 15, laboratory classes: 15
Didactic methods: lecture, presentation, discussion, laboratory classes
ECTS: 4
Balance of the workload of the student:
Participation in the classes:
- lecture: 15 h,
- laboratory classes: 15 h,
Preparation for classes:
- lecture 3 h
- laboratory classes: 10 h
Review of literature: 10 h
Reports of classes, homeworks: 15 h
Preparation for exam: 5 h
Exam: 2 h
Project tasks carried out at home: 15 h
Participation in consultations: 11 h
Quantitative indicators:
- student workload related to the activities requiring the teacher's direct participation: 44h, 1.7 ECTS
- student workload that does not require the teacher's direct participation: 58h, 2.3 ECTS
Type of course
Mode
(in Polish) w sali
Learning outcomes
Learning outcomes. Student:
knows the structure of the adaptive multimedia system,KA7_WG9, KA7_WG10
knows, what the individuation of educating in computer systems consists in, KA7_WK1
is able to design the simple adaptive multimedia Internet system, KA7_UW11
is able to implement a tool for recognizing the style of the learning of the user of the system, KA7_UW11
determines the path of the education typical for the recognised style of learning and implements it in the system, -KA7_UW15
implements the whole simple system with multimedia didactic materials that are necessary in individual learning, KA7_UW11, KA7_UW12
solves problems in creative way,KA7_UO4
understands the need of improving his skills with using different sources of knowledge, KA7_UU2
Understands the need to systematically learn about the latest trends in the development of information technologies in the field of intelligent multimedia learning systems - KP7_KR1
Assessment criteria
The general form of the pass: passing on the assessment of the laboratory and lecture.
Bibliography
Basic literature:
Cichosz P., Systemy uczące się, WNT, Warszawa, 2000,
Chia-Hung W., Machine Learning Techniques for Adaptive Multimedia Retrieval: Technologies, Applications and Perspectives, Hershey, New York
online journals, especially "E-mentor"
Supplementing literature:
magazines from electronic bases purchased by the UwB Library,
other online resources, for example conference proceedings, websites of related projects etc.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: