Course objectives:
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The aim of semestral work is to demonstrate student knowledge:
- self-contained analysis and problem definition
- critical evaluation of solution possibilities
- work with specialized publications and demonstration of obtained skills by task solution
- considerations of chosen methods usability
- critical evaluation of reached results
- written processing and oral presentation of the matter
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Requirements on student
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Presentation and defense of the assigned semester work.
Elaboration of a detailed report on the solution with an indication of the obtained results.
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Content
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The semester work is focused on solving problems in the field of artificial intelligence, signal processing, voice dialogue systems, automatic recognition and synthesis of speech and language, etc. The work is focused on research and application projects for presentation and university projects and at the same time with an overlap on an application in industry. Emphasis is placed on self-study and independent student work.
The literature will be determined according to the assigned topic of the thesis.
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Activities
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Fields of study
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Guarantors and lecturers
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Literature
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Individual project (40)
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40
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Presentation preparation (report) (1-10)
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10
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Practical training (number of hours)
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48
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Preparation for laboratory testing; outcome analysis (1-8)
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8
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Graduate study programme term essay (40-50)
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50
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Total
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156
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
to use knowledge of already completed basic and profiling subjects |
to understand the methods of analysis and synthesis of cybernetic systems such as identification, filtration, control and regulation of systems |
to work with a scientific literature, elaborate the searches |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
to algorithmize methods and implement them in a suitable programming environment |
to measure or identify the properties and nature of objects or processes in a specified task |
to acquire, analyze and visualize a data |
expertly elaborate and evaluate the achieved results of solving a given task |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
N/A |
N/A |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
to have an overview about state of the art in a field of the current solved task |
to understand the methods of engineering approach to specification, formulation and problem solving |
to understand the methodology of analysis, synthesis and critical evaluation of proposed methods and achieved results
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to know the principles and methods related to the solution of a given task and its success in given conditions |
Skills - skills resulting from the course: |
to apply knowledge and skills acquired during the study to the solved problems in the relevant area of the assigned task |
to use appropriate design tools and means to solve the assigned task
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to elaborate concise and comprehensible technical documentation describing the solution of a given task |
to present and justify significant parts of their work |
Competences - competences resulting from the course: |
N/A |
N/A |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Project |
Individual presentation at a seminar |
Skills - skills achieved by taking this course are verified by the following means: |
Project |
Individual presentation at a seminar |
Competences - competence achieved by taking this course are verified by the following means: |
Individual presentation at a seminar |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Task-based study method |
Self-study of literature |
One-to-One tutorial |
Skills - the following training methods are used to achieve the required skills: |
Task-based study method |
Individual study |
Laboratory work |
Competences - the following training methods are used to achieve the required competences: |
Individual study |
Students' portfolio |
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