Leonid Stoimenov, Vladan Mihajlovic Faculty of Electronic Engineering, University of Nis
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Public Presentation TEMPUS project (CD-JEP 16160/2001) Innovation of Computer Science Curriculum in Higher Education Artificial Intelligence Course Innovation in Teaching Methods Leonid Stoimenov, Vladan Mihajlovic Faculty of Electronic Engineering, University of Nis
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Public Presentation TEMPUS project (CD-JEP 16160/2001) Innovation of Computer Science Curriculum in Higher Education Artificial Intelligence Course Innovation in Teaching Methods. Leonid Stoimenov, Vladan Mihajlovic Faculty of Electronic Engineering, University of Nis. - PowerPoint PPT Presentation
Transcript of Leonid Stoimenov, Vladan Mihajlovic Faculty of Electronic Engineering, University of Nis
Public Presentation TEMPUS project (CD-JEP
16160/2001) Innovation of Computer Science Curriculum
in Higher Education
Artificial Intelligence Course Innovation in Teaching Methods
Leonid Stoimenov, Vladan Mihajlovic Faculty of Electronic Engineering, University of Nis
Previous experience in AI course
The professor discourse in old fashion, using chalk and blackboardThe lectures are ordinary and boringThe students listen the lecture without interest in the teaching The students take the notes as the reference exam preparationThe students learn immediately before the examThe knowledge demonstrated on laboratory exercises is not included in total score
How to improve learning process?
Make lectures interestingInspire the students to listen the classesMotivate the students to learn during the semesterEncourage the students to pass the exam in first termIncrease the portion of the students practice work in the course
AI course organization
LecturesExercises Theoretical Practical (laboratory)Projects (homework)
Final evaluation include Projects (40%) Final exam (60%)
New web site
New AI course web site contents
Lecture notesPractical problems and solution in LISPExam resultsInformation about project List of proposed project Information about finished projects
Links to literature and interesting AI web siteshttp:||gislab.elfak.ni.ac.yu|vi
AI course web site
Lectures
New topic that are actual in AI domain are included in the courseThe modern way of explain the old and new topics coveredThe students have the lecture notes in advanceThe students can participate actively in teaching process and pose the questions during the class
Exercises
Theoretical exercises LISP – most important commands and
simple examples AI algorithms and techniques Implementation of some AI algorithms
Laboratory exercises 6 common AI exercises in applying
theoretical knowledge The exercises are mandatory The students work individually
First Projects
The first project Same task for all
students (Victory, Puzzle)
Implementation in LISP
Checkpoints ones a week (include reports)
End date is strictly defined
1 2 3
4 5 6
7 8
Second Project
Interpretation of AI algorithms and techniquesApplying of AI algorithms and techniques in other domainsResults: Application Project documentationRules: No checkpoints and reports Must be finished at the end of course
A* Search Algorithm
Time Series Prediction
Game: “The Balls”
Conclusions
The students motivation to attend lectures is increasedThe students participate actively in teachingThe students learn more during the semesterLearning theoretical principles and its practical implementation in parallel make lessons easier to understandAnalysis during last two years show that 80% of students pass the exam immediately after course is finished
Official AI course site: http:||gislab.elfak.ni.ac.yu|vi
Contacts:Leonid Stoimenov – [email protected] Mihajlovic – [email protected] Milosavljevic – [email protected]
